Fragomen is a leading firm dedicated to immigration services worldwide. The firm has over 5,500 immigration professionals and support staff in more than 60 offices across the Americas, EMEA and Asia Pacific. A member of the Am Law 100 and Am Law Global 100, Fragomen offers immigration support in more than 170 countries. Fragomen’s professionals are respected leaders in the immigration field, and the firm is regularly recognized as a leading employer of minority and female attorneys. 
 
The firm supports all aspects of global immigration for corporate, academic, nonprofit, and individual clients, including strategic planning, quality management, reporting, case management and processing, compliance program counseling, representation in government investigations, government relations, complex matter solutions, and litigation. 
 
Fragomen is a long-time leader in the immigration technology space and continues to lead the way in the digitization of the immigration journey. It has created Fragomen Technologies Inc., a Fragomen subsidiary focused on the nexus of law and technology to further enhance its technology offering. 
 
These capabilities allow Fragomen to work in partnership with individuals and corporate clients across all industries to plan talent strategy, facilitate the transfer of employees worldwide, and navigate complex challenges. For detailed information about Fragomen, visit www.fragomen.com

Industry: Law Practice
Company Size: 5,001-10,000 employees

Fragomen

Savvy Admin PROD

**Job Description**

Fragomen, an AMLaw 100 Firm and the leading global immigration services provider, is strengthening its enterprise data foundation to enable consistent client delivery, trusted reporting, and scalable automation. We are seeking a senior level leader to advance our Master and Reference Data Management (MDM/RDM) program, with a particular focus on the Service Catalog that defines how we deliver services to clients.

As a **Business Data Governance Analyst **, you will work closely with senior data governance leaders, business stakeholders, and technology teams to help define, maintain, and steward enterprise master and reference data. This is an execution focused role with strong opportunities to learn enterprise data governance practices in a global, professional services environment.

**How will you make a difference as a Business Data Governance Analyst at Fragomen?**

- Support the Service Catalog as a Product

- Assist with maintaining the Service Catalog, including business definitions, attributes, and metadata

- Help document and update catalog structures such as hierarchies, taxonomies, and classifications

- Support intake, review, and change management processes for catalog updates

- Ensure catalog data aligns with downstream needs such as reporting, operations, and automation

- Participate in MDM / RDM and Data Governance Activities

- Support onboarding of master and reference data domains under governance

- Help apply standards for naming conventions, identifiers, hierarchies, and code sets

- Assist with stewardship workflows, approvals, and documentation

- Work with senior team members to track decisions, actions, and governance outcomes

- Assist with Data Quality within MDM/RDM domains

- Help monitor basic data quality metrics (e.g., completeness, validity, duplication)

- Support issue tracking, triage, and documentation of root causes

- Assist with remediation efforts by coordinating with data owners and system teams

- Contribute to preventative controls such as validation rules and standardized intake templates

- Collaborate Across Teams

- Partner with business, product, and technology teams to support consistent use of governed data

- Assist with aligning Service Catalog data to enterprise data models, glossaries, and metadata tools

- Help document use cases and requirements related to analytics, integration, and automation

**Leverage your valuable skills and experience to make an impact at Fragomen:**

- 2–4 years of experience supporting data, analytics, data governance, or related initiatives in an enterprise environment.

- Foundational understanding of data concepts such as data quality, metadata, data standards, and governance principles.

- Experience working with data documentation, data cataloging, or reporting tools (or a strong willingness to learn).

- Ability to work collaboratively with business, technology, and data stakeholders.

- Strong communication skills, with the ability to document information clearly and engage with diverse teams.

- Strong organizational skills and attention to detail, with the ability to manage multiple tasks and deadlines.

- Demonstrated curiosity and learning mindset, with interest in enterprise data platforms and tools (e.g., Informatica, Profisee, or similar).

- Ability to escalate issues appropriately and seek guidance when needed in a fast‑paced, client‑service environment.

~~All offers and/or employment contracts are contingent upon the successful completion of the Firm’s pre-employment screening process. This process may include verifying the candidate’s identity, confirming legal authorization to work in the offered position’s location, and conducting a comprehensive background check, where permitted by local regulations. We use limited AI‑assisted tools for administrative screening purposes only - never for decision‑making. All hiring decisions are made by people. Applicants may have rights to information and explanations regarding the use of such tools, or request human review, as required by applicable regional laws. ~~

Business Data Governance Analyst

**Job Description**

Fragomen, an AMLaw 100 Firm and the leading global immigration services provider, is strengthening its enterprise data foundation to enable consistent client delivery, trusted reporting, and scalable automation. We are seeking a seniorlevel leader to advance our Master and Reference Data Management (MDM/RDM) program, with a particular focus on the Service Catalog that defines how we deliver services to clients.

As a **Senior Business Data Governance Analyst **, you will manage the Service Catalog and related master and reference data as governed enterprise data products—establishing standards, enabling stewardship workflows, improving data quality, and driving adoption across regions and teams. Success means a Service Catalog that is trusted, consistently used, and fit for purpose across operations, analytics, and automation.

**How will you make a difference as a Senior Business Data Governance Analyst at Fragomen?**

- Evolve our Service Catalog as a product

- Assist in defining the catalog’s structure (taxonomy, hierarchy), business definitions, attributes, and metadata

- Establish lifecycle management: intake → definition → review/approval → publish → change control/versioning → retirement

- Ensure the catalog supports key downstream needs (client delivery, reporting, financial/operational views, automation/AI)

- Advance Fragomen’s MDM/RDM program

- Drive onboarding and governance for master/reference domains

- Define standards for identifiers, naming conventions, hierarchies, relationships, code sets, and controlled vocabularies

- Build repeatable operating mechanisms so domains stay healthy and scalable over time

- Run stewardship and decision-making at scale

- Establish clear roles (data owners, stewards), RACI, decision rights, SLAs, and escalation paths

- Lead working sessions and forums to resolve definition disputes, approve changes, and manage backlog/priorities

- Partner across business, product, and technology teams to embed stewardship into day-to-day work

- Improve data quality within the MDM/RDM domains

- Define and track quality KPIs for master/reference data (e.g., completeness, validity, uniqueness, duplication, hierarchy integrity)

- Lead issue triage and root-cause remediation with accountable owners

- Help shift from reactive clean-up to preventative controls (validation rules, standardized intake, monitoring)

- Enable analytics, automation, and integration

- Ensure master/reference data is consistent across systems and supports integration patterns and enterprise modeling

- Collaborate with data platform and product teams to align the Service Catalog to the enterprise data model, glossary, and metadata tooling

- Identify high-value use cases unlocked by trusted service master/reference data and help drive them to delivery

**Leverage your valuable skills and experience to make an impact at Fragomen:**

- 7+ years leading or delivering enterprise data initiatives, with meaningful depth in MDM, reference data and/or data governance operating models

- Strong understanding of core MDM/RDM concepts: domain onboarding, stewardship workflows, reference data management, hierarchies, change control/versioning, and quality controls

- Demonstrated ability to influence and align diverse stakeholders (operations, regional leaders, product, IT, data teams) and drive adoption and not just documentation

- Ability to translate ambiguity into decisions: crisp definitions, clear standards, and a pragmatic roadmap

- Comfort working with metadata/catalog and MDM tools (e.g., Informatica, Profisee, or similar) and collaborating closely with technical teams (hands-on configuration experience is a plus, not required)

- Excellent written and verbal communication; strong facilitation skills; disciplined program execution in a fast-paced, client-service environment

- Ability to prioritize work, manage risk, and escalate issues appropriately in a fastpaced, clientservice environment.

- Nice to have:

- Data Analyst skillset including SQL, data visualization tools (e.g. Power BI, Tableau).

- Experience defining data quality rules and monitoring frameworks, or embedding validation controls upstream

- Familiarity with enterprise data modeling and business glossary/term management

- Prior work in professional services, legal, regulated, or multi-region operating environments

~~All offers and/or employment contracts are contingent upon the successful completion of the Firm’s pre-employment screening process. This process may include verifying the candidate’s identity, confirming legal authorization to work in the offered position’s location, and conducting a comprehensive background check, where permitted by local regulations. We use limited AI‑assisted tools for administrative screening purposes only - never for decision‑making. All hiring decisions are made by people. Applicants may have rights to information and explanations regarding the use of such tools, or request human review, as required by applicable regional laws. ~~

Senior Business Data Governance Analyst

HellermannTyton is a global leader in cable management and protection products and identification systems. Its systems and solutions are specified by major manufacturers and contractors in the OEM, automotive, heavy equipment, renewable energy, electrification, industrial automation and related industries. The company’s engineered solutions and innovative products are designed and constructed to meet the strictest quality standards while delivering reliable implementation at the lowest cost. HellermannTyton operates in 39 countries, with North American headquarters in Milwaukee, Wisconsin. 

Quality Certifications
IATF 16949, ISO 9001 and ISO 14001

Mission Statement
HellermannTyton's mission is to provide innovative solutions, with customer satisfaction as our first priority.

We aspire, through global leadership and quality products that add value to electrical and communication networks, to be the customers' partner of choice.

We aim to achieve world class operational excellence for the benefit of our customers, our employees and the interaction of our business with the environment.

Corporate video: https://youtu.be/YTEHRkaphMQ

Visit us at www.hellermann.tyton.com.

Industry: Plastics Manufacturing
Company Size: 501-1,000 employees

HellermannTyton North America

**Job Summary**

We are seeking a highly analytical and collaborative Business Analyst to support enterprise-wide initiatives focused on data governance, data development and improvement, business intelligence (BI), and ERP implementation. This role will be instrumental in bridging the gap between business needs and technical solutions, ensuring data integrity, optimizing data flows, and enabling strategic decision-making through robust analytics and reporting. This will be achieved while maintaining HellermannTyton's Quality and EHS certifications by supporting all corporate policies, procedures, work instructions, and required documentation.

**Essential Functions:**

Data Governance & Quality

- Collaborate with data stewards and business units to define and enforce data governance policies and standards.

- Monitor data quality metrics and lead initiatives to improve data accuracy, completeness, and consistency.

- Support metadata management and data lineage documentation.

Data Development & Integration

- Work with business stakeholders and developers to define requirements for new datasets and enhancements to existing ones.

- Assist in mapping source systems to target data warehouse structures.

- Validate data transformations and ensure alignment with business rules.

Business Intelligence & Reporting

- Partner with BI developers to design and deliver dashboards, reports, and analytics solutions.

- Translate business questions into data queries and visualizations.

- Provide insights and recommendations based on data analysis.

ERP Implementation Support

- Participate in ERP project planning, requirements gathering, testing, and deployment phases.

- Document business processes and identify opportunities for automation and improvement.

- Ensure ERP data aligns with enterprise data standards and integrates effectively with other systems.

**Key Competencies**

- Analytical Thinking

- Problem Solving

- Attention to Detail

- Business Acumen

- Collaboration & Communication

- Adaptability

**Qualifications (skills, Knowledge, Experience)**

- Bachelor’s degree in Business, Information Systems, Data Analytics, or related field.

- 3+ years of experience in business analysis, data management, or BI.

- Strong understanding of data governance principles and data warehousing concepts.

- Experience with ERP systems (e.g., SAP, Oracle).

- Proficiency in SQL and data visualization tools (e.g., Power BI, Tableau).

- Excellent communication and stakeholder engagement skills.

**Preferred:**

- Experience with cloud data platforms (e.g., Fabric, Power BI).

- Knowledge of master data management (MDM) and data cataloging tools.

By applying for a position with HellermannTyton, you understand that should you be made an offer, it will be contingent on your undergoing and successfully completing a background check through the use of our 3rd party supplier. Background checks may include some or all of the following based on the nature of the position: SSN/SIN validation, education verification, employment verification, criminal check, driving history, and drug test. You will be notified during the hiring process of which checks are required by the position.

HellermannTyton Corporation is an Equal Opportunity Employer and does not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, and basis of disability or any other federal, state or local protected class.

Business Analyst

We engage, empower, enable, and imagine a future where the patient, consumer, customer, and business is the center of everything you do. Our approach is to provide the vision and technical support needed for an organization or individual to have ownership of their creations in a decentralized and agnostic manner. We are the bridge between traditional organizations and the ambitious innovators that want to control their own destiny.

Industry: Technology, Information and Media
Company Size: 11-50 employees

Imagineeer

**Benefits:**

- 401(k) matching

- Competitive salary

- Health insurance

- Paid time off

**About this Role:**

The **Data Architect / Enterprise Data Analyst ** will provide data strategy, architecture, and analytics expertise to support enterprise data initiatives across the U.S. Department of Health and Human Services (HHS). This role will define and implement data architecture frameworks, data governance standards, and enterprise data management (EDM) solutions to improve data quality, accessibility, security, and interoperability across systems and organizations.

The ideal candidate will have experience working in federal data environments, including designing enterprise data models, developing data integration strategies, and supporting data modernization and cloud migration projects. The role also requires strong collaboration skills to work with IT leadership, system owners, data stewards, and mission stakeholders to enable informed decision-making through trusted and well-governed data.

**Key Responsibilities:**

-  Develop logical data models aligned to HRIT product lines, ensuring full compliance with HHS data governance policies to support the modernization of Human Capital Management (HCM) capabilities.

-  Develop a comprehensive Data Migration Plan, including a phased migration strategy, data transformation protocols, validation and testing procedures, and rollback contingencies to support the transition to the Target State of HRIT modules.

-  Support the design, development, testing, and deployment of HRIT applications and APIs, ensuring seamless data integration across a consolidated and modernized HCM platform.

-  Deliver a comprehensive data integrity approach, ensuring robust data quality checks are in place to support the unified platform.

-  Collaborate with the Data Governance Architect to establish a robust Data Stewardship framework.

-  Support the technical team in developing and testing integrations between enterprise systems, leveraging technologies such as Web Services, REST/SOAP APIs, and

Integration Broker. Perform rigorous testing to ensure accurate and reliable data transmission across interconnected applications.

-  Develop reports, queries, and analytics solutions to support business intelligence and operational insights.

-  Create and maintain technical documentation for all configurations, customizations, and integrations.

-  Collaborate with functional analysts, DBAs, and infrastructure teams to optimize system performance and reliability.

-  Support upgrades, patches, and maintenance activities with minimal operational disruption.

-  Apply federal compliance best practices, including security (NIST), accessibility (Section 508), and records management.

-  Provide mentorship to junior developers and contribute to team knowledge through code reviews and technical guidance.

**Qualifications and Skills:**

-  Bachelor’s degree in Computer Science, Information Technology, or a related discipline.

-  Proficient in SQL and relational database design, supporting scalable and efficient data solutions.

-  Proven success working within federal government systems or comparable enterprise environments.

-  At least 10 years of experience working as a Data Analyst, Data Modelling and/or Business Intelligence Domain.

-  Eligible to obtain and maintain a Public Trust clearance/must be a US Citizen

-  Certified in data governance and management (e.g., CDMP, DGCP).

-  Hands-on experience implementing the Federal Data Strategy and supporting open data initiatives.

-  In-depth knowledge of the Federal Enterprise Architecture Framework, including HHS EA (HHS-OCIO-OES-2024-10-005).

-  Skilled in conducting data privacy impact assessments and applying NIST data security guidelines.

-  Familiar with AI governance, and responsible machine learning practices.

-  Proficient in cloud-based data governance, master data management, and data architecture principles.

-  Experienced with business intelligence and data visualization tools.

-  Knowledgeable in records management standards and federal compliance procedures.

**Desired Skills and Competencies:**

- Experience supporting HHS or other federal health agencies (CMS, NIH, HRSA, FDA, CDC).

- Familiarity with federal data policies such as the Federal Data Strategy and CDO requirements.

- Experience with enterprise data warehouses or data lakes.

- Certifications such as CDMP, AWS Data Analytics, Azure Data Engineer, or DAMA.

- Knowledge of FHIR, HL7, NIEM or federal data interoperability standards.

- Experience with API integrations, service-oriented architecture (SOA), or microservices.

Flexible work from home options available.

Data Architect-Enterprise Data Analyst

Wachtell Lipton was founded on a handshake in 1965 as a small group of lawyers dedicated to providing advice and expertise at the highest levels. We have achieved extraordinary results following the distinctive vision of our founders — a cohesive team of lawyers intensely focused on solving our clients' most important problems.

Industry: Law Practice
Company Size: 501-1,000 employees

Wachtell, Lipton, Rosen & Katz

**Summary:**

The role involves providing administrative support to a team of attorneys and other support departments, including inter-departmental support. The environment is a fast-paced, high-pressure environment. The ideal candidate will be highly organized, technologically proficient, detail-oriented, and possess exceptional oral and written communication skills. The ability to work independently, manage tasks efficiently, and perform well under pressure with minimal supervision is essential.

**Essential Duties and Responsibilities:**

- Prepare letters, memos, presentations, and spreadsheets using Microsoft Word, PowerPoint, and Excel.

- Conduct research on legal and financial topics utilizing various media platforms.

- Maintain the contact database for assigned attorneys, including creating, editing, updating and resolving attorney contacts.

- Assist with overflow tasks from Administrative Assistants and other departments, including Document Processing, Data Stewards, Paralegals, and Automated Litigation Support.

- Set up conference calls and coordinate conference room reservations.

- Redline, revise, proofread and draft legal correspondence, speeches, and articles with precision and attention to detail.

- Communicate effectively with attorneys to determine their whereabouts.

- Screen telephone calls and relay accurate messages promptly.

- Open new matters and prepare conflict of interest memos.

- Enter attorney time entries daily using 3E Time Capture.

- Order lunches for attorneys as needed.

- Reconcile attorneys’ Amex statements and car service bills upon receipt including working with Accounting on client/matter inquiries.

- Knowledge in using document management systems to create new files and close inactive files.

- Prepare outgoing mail for timely delivery and read, sort, and prioritize incoming mail.

- Schedule meetings, manage calendars and arrange travel.

- Communicate effectively with backup Administrative Assistants and provide support for attorneys, as needed.

- Maintain positive relationships with clients, attorneys, and staff.

- Adhere to strict confidentiality policies.

- Performs various administrative and clerical tasks as assigned.

**Knowledge, Skills, and Abilities Required:**

- Ability to research legal topics using multiple platforms.

- High level of professionalism and confidentiality.

- Strong organizational and time-management skills.

- Excellent interpersonal, written and verbal communication skills.

- Ability to multitask and meet deadlines.

- High proficiency in Microsoft Office Suite, including Word, Excel, and PowerPoint.

- Knowledge of Adobe Acrobat Professional.

- Proficient in using professional technology tools and social media platforms.

- Ability to work under pressure while maintaining professionalism.

- Ability to foster a positive and collaborative work environment.

- Ability to proofread typed material for grammatical, typographical, and spelling errors, including understanding of proofreading marks.

- Knowledge of Bluebooking is a plus.

- Must be flexible for multiple assignments and able to work both independently and as part of a team.

- Flexibility to work overtime, including mornings, evenings, weekends, and holidays, is required.

- Knowledge of Interaction, 3E Time Capture, iManage, and iManage Records Manager is a plus.

- Proactive self-starter who anticipates needs and takes initiative.

- Adaptable and receptive to cross- and inter-departmental training to support other teams effectively.

- Ability to apply best practices to enhance organizational collaboration and efficiency.

- Punctuality is essential.

**Education and Experience:**

- Bachelor’s degree or equivalent work experience.

- Minimum of three years’ experience in a corporate legal environment.

**Working Conditions:**

- Normal office environment with little exposure to excessive noise, dust, temperature, etc.

Wachtell, Lipton, Rosen & Katz provides competitive compensation and benefits to its employees ensuring that we attract and retain the most talented individuals. The expected base salary range for this role is $65,000 - $70,000. The base salary offer is based on a variety of factors which includes, but is not limited to, qualifications, education and experience.

~~The above is intended to describe the general content of and requirements for the performance of this job. It is not to be construed as an exhaustive statement of essential functions, responsibilities or requirements. ~~

Administrative Legal Assistant

Founded in 2003, LinkedIn connects the world's professionals to make them more productive and successful. With more than 1 billion members worldwide, including executives from every Fortune 500 company, LinkedIn is the world's largest professional network. The company has a diversified business model with revenue coming from Talent Solutions, Marketing Solutions, Sales Solutions and Premium Subscriptions products. Headquartered in Silicon Valley, LinkedIn has offices across the globe..

Industry: Software Development
Company Size: 10,001+ employees

LinkedIn

**Company Description**

LinkedIn is the world’s largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. We’re also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that’s built on trust, care, inclusion, and fun – where everyone can succeed.

Join us to transform the way the world works.

**Job Description**

This role will be based in San Francisco New York City

At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team.

We’re hiring a Sr. Analyst, Master Data Management (MDM) to help build and run the master data capabilities that keep Finance operating on consistent, reliable foundations. This role is about getting the basics right at scale: defining standards, improving data quality, enabling clean downstream reporting/automation, and driving the day-to-day operational rigor required to keep core entities accurate and usable across systems. You’ll work across Finance, Finance Technology, Engineering, and upstream source owners to manage and improve core financial and corporate master data domains (e.g., chart of accounts, cost centers, suppliers, customers, products), ensuring they are governed, auditable, and designed to support both operational workflows and analytical use cases.

**Responsibilities **:

- Own master data operations for key domains: Support the intake, creation, change management, and lifecycle of core finance master data elements (including validation, approvals, and documentation

- Implement and manage critical master data in Oracle EDM to support financial budgeting, strategic planning, and management reporting, including structures such as Cost Center, Department, and Product Hierarchies.

- Drive data quality and standardization: Define and enforce business rules; identify quality issues (duplicates, hierarchy drift, missing attributes, inconsistent naming), prioritize fixes, and work with system owners to remediate root causes.

- Build the governance muscle: Help operationalize policies, standards, and processes (RACI, controls, approvals, stewardship routines, periodic reviews) that keep master data healthy over time.

- Partner across systems and teams: Collaborate with Finance Technology, Engineering, and upstream teams to align on data models, integrations, and processes—ensuring master data flows cleanly across tools and platforms.

- Enable reporting, automation, and analytics: Ensure master data is structured and documented in a way that supports semantic layers, metric definitions, automation workflows, and reconciliation needs.

- Improve tooling and workflows: Create lightweight solutions (templates, validations, dashboards, exception queues, status tracking) to increase throughput and reduce errors in master data processes.

- Establish transparency and trust: Maintain clear documentation (definitions, hierarchies, attributes, ownership), publish guidance for requesters, and communicate changes and impacts to stakeholders.

**Qualifications**

**Basic Qualifications**

- Education: Bachelor’s degree in Finance, Accounting, Information Systems, Data/Analytics, Engineering, or a related field (or equivalent practical experience).

- Experience: 5+ years in master data, data governance, data operations, finance systems, or related roles working with business-critical datasets.

- Data skills: Experienced analytical skills and comfort working with large datasets; proficiency in Excel/Sheets and SQL (2+ years) for validation, reconciliation, and investigation.

- Process rigor: Experience operating structured processes (intake, approvals, audits, SOPs) with high attention to detail.

- Stakeholder management: Ability to partner with both technical and non-technical teams, translate business needs into data standards, and drive alignment.

**Preferred Qualifications**

- Finance master data experience: Hands-on experience with finance master data domains (cost centers / department hierarchies, Chart of Accounts,, legal entities, currency) and understanding of how they impact transaction flow, GAAP, and management reporting.

- ERP familiarity: Experience working with ERP/finance platforms (Oracle EPM / EDM, SAP, or similar) and understanding of finance data models and hierarchies.

- Governance frameworks: Familiarity with stewardship models, controls, and governance practices (RACI, data ownership, data dictionaries, quality rules, change control).

- Data quality tooling/monitoring: Experience building or using data quality checks, exception reporting, lineage documentation, or observability mechanisms.

- Automation mindset: Experience improving workflows through automation (Power Platform or similar) and standardizing repeatable processes.

- Change management: Comfort driving adoption of standards across distributed teams and influencing without authority.

**Suggested Skills**

- Project Management

- Data Analysis

- Financial Acumen

- Stakeholder Management

- Problem Solving

LinkedIn is committed to fair and equitable compensation practices.

The pay range for this role is $98,000-$158,000. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor.

The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For more information, visit https://careers.linkedin.com/benefits.

**Additional Information**

**Equal Opportunity Statement**

We seek candidates with a wide range of perspectives and backgrounds and we are proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.

LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful.

If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at accommodations@linkedin.com and describe the specific accommodation requested for a disability-related limitation.

Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to:

- Documents in alternate formats or read aloud to you

- Having interviews in an accessible location

- Being accompanied by a service dog

- Having a sign language interpreter present for the interview

A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response.

LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information.

**San Francisco Fair Chance Ordinance**

Pursuant to the San Francisco Fair Chance Ordinance, LinkedIn will consider for employment qualified applicants with arrest and conviction records.

**Pay Transparency Policy Statement**

As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: https://lnkd.in/paytransparency.

**Global Data Privacy Notice for Job Candidates**

Please follow this link to access the document that provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: https://legal.linkedin.com/candidate-portal.

Sr. Analyst, Master Data Management

Arch Insurance Group Inc., a division of Arch Capital Group Ltd. (ACGL), is a market-leading specialty insurer.

We provide a wide range of property, casualty and specialty insurance for corporations, professional firms and financial institutions across the United States and Canada.

Our insurance group in North America consists of Arch Insurance Company, Arch Specialty Insurance Company and Arch Excess & Surplus Insurance Company. Arch Insurance Group's executive offices are located at One Liberty Plaza in New York City, with regional offices located in New York City (Northeast Region), Atlanta (Southeast Region), Chicago (Central Region) and San Francisco (Western Region), as well as other offices throughout the U.S. to support our business. Arch Insurance Company also operates a branch office in Toronto, Canada.

ACGL is a Bermuda public limited liability company that provides insurance, reinsurance and mortgage insurance on a worldwide basis through operations in Bermuda, the United States, Canada, Europe, Australia and Hong Kong.

Industry: Insurance
Company Size: 501-1,000 employees

Arch Insurance Group Inc.

With a company culture rooted in collaboration, expertise and innovation, we aim to promote progress and inspire our clients, employees, investors and communities to achieve their greatest potential. Our work is the catalyst that helps others achieve their goals. In short, We Enable Possibility℠.

**Position Overview**

The Claims Division is seeking a team member to join the Claims Operations Team as a Data Quality Analyst. In this role the responsibilities include, but not limited to, examining complex data to ensure data integrity and accuracy.

**Primary Responsibilities**

- Analyze, query, and manage claims corrections according to defined business rules and procedures

- Research and determine scope and complexity of issue then identify steps to resolve all internal data exceptions within various systems in timely and accurate manner

- Determine root cause for data quality errors and make recommendations for long-term solutions

- Determine business impact level for data quality issues

- Collaborate and maintain cross-functional working relationships with team members of multiple business units; Claims Third-party Administrators (TPA), Programmers, and approved vendors to analyze and correct data quality errors

- Produce ad-hoc reporting for TPA, Business, IT teams, and external partners Qualifications

- Working knowledge of insurance industry and insurance claims operations particularly in the area of commercial property and casualty claims

- Adherence to data quality standards to ensure accuracy and provide logical approach to identify, compare, resolve, and improve data quality

- Hands-on experience and strong aptitude with SQL, Snowflake, and Microsoft Excel and Power BI

- Exceptional communication (written and verbal), evaluation, listening, and interpersonal skills to effectively maintain productive working relationships with internal/external peers and other professionals across organizational lines

- Demonstrate accuracy and attention to detail

- Strong organization and time management skills

- Ability to self-start and work independently

**Education**

- Bachelor’s degree preferred

- At least two (2) years of work experience at an insurance company and/or insurance claims loss adjustment service provider supporting property and casualty insurance regarding policies, claims, and resolutions for commercial accounts

For individuals assigned or hired to work in the location(s) indicated below, the base salary range is provided. Range is as of the time of posting. Position is incentive eligible.

$62,000 - $80,000/year

- Total individual compensation (base salary, short & long-term incentives) offered will take into account a number of factors including but not limited to geographic location, scope & responsibilities of the role, qualifications, talent availability & specialization as well as business needs. The above pay range may be modified in the future.

- Arch is committed to helping employees succeed through our comprehensive benefits package that includes multiple medical plans plus dental, vision and prescription drug coverage; a competitive 401k with generous matching; PTO beginning at 20 days per year; up to 12 paid company holidays per year plus 2 paid days of Volunteer Time Offer; basic Life and AD&D Insurance as well as Short and Long-Term Disability; Paid Parental Leave of up to 10 weeks; Student Loan Assistance and Tuition Reimbursement, Backup Child and Elder Care; and more. Click here to learn more on available benefits.

Do you like solving complex business problems, working with talented colleagues and have an innovative mindset? Arch may be a great fit for you. If this job isn’t the right fit but you’re interested in working for Arch, create a job alert! Simply create an account and opt in to receive emails when we have job openings that meet your criteria. Join our talent community to share your preferences directly with Arch’s Talent Acquisition team.

14400 Arch Insurance Group Inc.

Claims Data Quality Analyst

Founded in 1969, the global TVH Parts Holding group now has 90 branches selling to customers in over 180 countries. Worldwide we offer more than 1,120,000 stocking numbers and more than 49,500,000 part numbers for over 1,200 different makes of manufactured industrial and agriculture vehicles across the globe. TVH ships daily by land, air, and sea to over 75,000 customers, and employs more than 5,000 people worldwide.

TVH Parts Co. employs +1,600 people in the Americas at its locations in Kansas, Illinois, California, Pennsylvania, Louisiana, South Carolina, Florida, Oregon, Canada, Mexico, and Brazil.

At TVH, we are dedicated to providing comprehensive, quality service from the initial quotation to final product delivery. Our commitment to service, knowledge and product availability has made us a One-Stop-Shop for our customers and their business needs.

Industry: Wholesale
Company Size: 501-1,000 employees

TVH Parts Co.

**Master Data Analyst **

**Full-time | Location – Olathe, KS 66062 **

**Please note: This role is not available for sponsorship. There is not a budget at this time for relocation. **

The Master Data Analyst serves as the technical anchor for our master data team. You will take ownership of complex data challenges, acting as the primary point of escalation for data integrity issues. By leveraging data analysis, SQL skills and deep entity knowledge, you will ensure our item and item relationship data remains world-class while mentoring junior team members.

**YOUR ROLE AND RESPONSIBILITIES **

**Data Ownership: **Manage and audit complex clusters of item master data unique to the TVH Americas context to ensure accuracy.

**Technical Problem Solving: **Act as the escalation point for the maintenance team. You will perform deep-dive analyses into data discrepancies and architect "permanent fixes" rather than temporary patches.

**Querying & Reporting: **Develop and execute SQL/BigQuery scripts to retrieve technical information. Coordinate the Business Intelligence and Data Engineering teams to create actionable data insights.

**Stakeholder Collaboration: **Represent the data team in meetings with departmental leadership. You will communicate project progress, explain data outcomes, and provide insights to support high-level decision-making.

**Quality Assurance: **Design and execute testing scenarios, including regression tests, to validate that system changes or bulk uploads haven't compromised data integrity.

**Mentorship: **Serve as the "technical guide" for Level I Professionals and Data Entry Admins. You will share best practices on tooling and help them optimize their daily workflows.

**Process Optimization: **Identify "bottlenecks" in how we process ingest, enrich and cleanse data, suggesting and implementing automated or improved workflows.

**HOW TO SUCCEED / YOUR PROFILE **

**Education: **Bachelor’s Degree in Business, Data Analytics, Supply Chain, or a related field; or an equivalent combination of education and experience.

**Experience: **3–5 years of experience in data maintenance, master data management, or a technical data coordinator role.

**Proven Track Record: ** Experience managing "clusters" of data and interacting with cross-functional teams (Sales, Purchasing, IT).

**Technical Proficiency: **SQL or BigQuery skills are required. You should be comfortable writing queries to join tables, filter data, and extract insights.

**Data Analysis: **Advanced proficiency in Microsoft Excel (VLOOKUPs, Pivot Tables, etc.) and experience with ERP business systems.** **

**Communication: **Ability to translate technical data findings into clear, actionable summaries for non-technical stakeholders and executives.

**Supply Chain Knowledge: ** A solid understanding of supply chain, purchasing concepts, and how item data affects the broader business.

**Attention to Detail: **A "detective" mindset—you enjoy finding the "why" behind a data error.

**WHAT’S IN IT FOR YOU **

You’ll be part of a people-centric culture where your well-being truly matters. Our comprehensive benefits package includes medical, dental, and vision coverage, along with unique perks like an onsite health clinic and an exceptional dollar-for-dollar 401(k) match up to 6%.

At our headquarters, you’ll enjoy an onsite preschool, a full-service restaurant, and access to an onsite gym to help you stay active and energized. We also foster connection through regular team events and a collaborative, welcoming environment.

**We also offer: **

- Opportunities for professional development, including access to LinkedIn Learning and a variety of in-house and external training programs

- The chance to grow both personally and professionally in a dynamic, scale-up environment, backed by the strength and stability of a global company, TVH

**PEOPLE ARE AT OUR HEART **

TVH is a global business with a family atmosphere, where people are at the center. We value clarity, mutual respect, kindness and open communication. Our people are down-to-earth, easy to work and engage with. We welcome differences and celebrate new ideas.

**ABOUT TVH **

TVH is a parts specialist for quality parts and accessories for material handling, industrial vehicles, and construction and agricultural equipment. Working at TVH is opting for a company that excels as an international market leader and is well-known for its unstoppable craving for innovation.

~~TVH is an Equal Opportunity Employer. TVH will not discriminate against applicants based on race, color, religion, national origin, sex (including pregnancy and gender identity), sexual orientation, genetic information, or because they are an individual with a disability or a person 40 years old or older. ~~

Master Data Analyst

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