Automotive parts company.

Industry: Motor Vehicle Parts Manufacturing
Company Size: 51-200 employees

Partify

Savvy Admin PROD

**Employment Type: ** Full Time

**Location: ** On site in Warren, MI

**Reports To: ** Senior Web Developer & Chief Technology Officer

**Role Overview **

Partify Inc. is a fast growing e-commerce company specializing in painted automotive parts. We are seeking a Web Developer to join our technology team and contribute to the development and scaling of our digital infrastructure.

In this role, you will build, maintain, and optimize our e-commerce platform and supporting systems, and collaborate cross functionally with marketing, operations, and leadership to deliver high performing, conversion focused user experiences.

The ideal candidate is a strong technical contributor who is eager to grow within a structured engineering environment, while contributing to a fast paced, high growth company.

**Key Responsibilities **

Develop, maintain, and optimize Shopify themes and custom storefront features using Liquid, HTML, CSS, and JavaScript.

Support the implementation of new features and enhancements that improve user experience, conversion rates, and site performance.

Integrate third party applications and APIs, ensuring secure and reliable data flow across systems.

Work with the technology team to execute technical initiatives and roadmap priorities.

Collaborate with internal teams to connect business operations (inventory, fulfillment, pricing) with the e-commerce platform.

Troubleshoot and resolve bugs, performance issues, and technical challenges across the website.

Contribute to analytics, A/B testing, and SEO initiatives to continuously improve site performance.

Assist in maintaining backend integrations and cloud based infrastructure, including Google Cloud environments where applicable.

Follow best practices for code quality, testing, documentation, and version control.

**Required Qualifications **

Bachelor’s degree in Computer Science, Software Engineering, Information Technology, or a related field.

Minimum 3 years of experience in web development, ideally within e-commerce or high growth environments.

Strong proficiency in Liquid, JavaScript (ES6+), HTML, and CSS.

Experience working with Shopify and customizing themes.

Familiarity with API integrations and understanding of data flow between systems.

Experience with version control systems such as Git.

Exposure to cloud platforms (Google Cloud preferred) and basic backend concepts is a plus.

Strong problem solving skills and willingness to learn in a fast paced environment.

Good communication and collaboration skills.

Ability to manage multiple priorities while maintaining attention to detail.

**Why Join Partify **

Partify is building the future of painted automotive parts. Our team focuses on operational efficiency, data driven decision making, and scalable systems that support rapid growth.

This role offers the opportunity to work directly with experienced technical leadership while contributing to the systems that power our e-commerce, manufacturing, and logistics operations. You will gain hands on experience building scalable solutions and play a meaningful role in the company’s growth.

**We Offer **

Competitive salary.

HMO medical plans.

Dental and vision coverage.

401(k) with company match.

Paid holidays and sick time.

Employee discounts.

**Please Note: ** Partify Inc. is unable to sponsor employment visas at this time.

**Please Note: **Partify Inc. may use AI tools to assist in initial application review. All hiring decisions are made by human team members.

Web Developer

**Employment Type: ** Full Time

**Location: ** On site in Warren, MI

**Reports To: ** Senior Data Analyst & Chief Technology Officer

**Role Overview **

Partify Inc. is a fast growing e-commerce company specializing in painted automotive parts. We are seeking a Data Analyst to join our technology and operations team and contribute to the development of data driven insights that support business growth and operational efficiency.

In this role, you will analyze business performance across e-commerce, manufacturing, logistics, and marketing operations to help drive strategic decision making. You will work cross functionally with leadership, operations, marketing, and technology teams to identify trends, improve processes, and support scalable growth initiatives.

The ideal candidate is analytical, detail oriented, and eager to grow within a fast paced, high growth environment while helping build a strong data driven culture across the organization.

**Key Responsibilities **

Collect, analyze, and interpret data from multiple business systems including e-commerce platforms, inventory systems, marketing platforms, and operational databases.

Develop and maintain dashboards, reports, and visualizations to support business decision making and performance tracking.

Identify trends, patterns, and operational insights that improve efficiency, profitability, and customer experience.

Collaborate with cross functional teams to support forecasting, inventory planning, pricing analysis, and operational optimization initiatives.

Monitor key business metrics and provide regular reporting to leadership teams.

Assist in analyzing marketing campaign performance, customer behavior, and conversion trends to support growth initiatives.

Work with technical teams to ensure data accuracy, consistency, and integrity across systems.

Support ad hoc analysis requests and provide actionable recommendations based on findings.

Contribute to data automation and process improvement initiatives that increase reporting efficiency and scalability.

Maintain documentation for reports, dashboards, and data processes.

**Required Qualifications **

Bachelor’s degree in Data Analytics, Computer Science, Statistics, Mathematics, Information Systems, Business Analytics, or a related field.

Minimum 2 - 3 years of experience in data analysis, business intelligence, or analytics related roles, ideally within e-commerce, operations, or high growth environments.

Strong proficiency in SQL and Microsoft Excel or Google Sheets for data analysis and reporting.

Experience with business intelligence and visualization tools such as Looker Studio, Tableau, Power BI, or similar platforms.

Familiarity with e-commerce, marketing, or operational datasets and KPIs.

Basic understanding of databases, data structures, and data integration concepts.

Experience working with large datasets and translating findings into actionable business insights.

Strong analytical thinking and problem solving skills with high attention to detail.

Ability to communicate technical findings clearly to both technical and non technical stakeholders.

Experience with Python, R, or cloud data platforms (Google Cloud preferred) is a plus.

Ability to manage multiple priorities in a fast paced environment while maintaining accuracy and organization.

**Why Join Partify **

Partify is building the future of painted automotive parts through operational excellence, technology, and data driven decision making. Our team focuses on creating scalable systems and using data insights to support rapid growth across e-commerce, manufacturing, logistics, and customer experience.

This role offers the opportunity to work closely with leadership and cross functional teams to help shape strategic business decisions through analytics and reporting. You will gain hands on experience analyzing large scale operational and e-commerce data while contributing directly to initiatives that improve efficiency, profitability, and overall business performance.

As a Data Analyst at Partify, you will play a meaningful role in helping the company scale through actionable insights, process optimization, and continuous improvement initiatives.

**We Offer **

Competitive salary.

HMO medical plans.

Dental and vision coverage.

401(k) with company match.

Paid holidays and sick time.

Employee discounts.

**Please Note: ** Partify Inc. is unable to sponsor employment visas at this time.

**Please Note: ** Partify Inc. may use AI tools to assist in initial application review. All hiring decisions are made by human team members.

Data Analyst

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