Senior Data Analyst
6 - 10 years
Boston, MA
Full-time, Contract
Remote
1 month ago
About the role
Title: Sr. Data Analyst IV-SQL (preferably in a Snowflake environment)
Position Type: Contract role(6 months)
Location: 100% remote
Pay rate: $98.58/hour on W2
INTERVIEW PROCESS
2 Teams interviews
Job Summary:
• This is a fantastic opportunity to be a part of a high visibility team delivering analytics to the C-Suite
• Team is strong, collaborates well, and already has a lot of processes built for getting data to produce future insights
• Huge priority for team projects – we are funded and have alignment / support from ExCo
• Visibility: CMO and CEO
Tools:
• Expert in SQL (preferably in a Snowflake environment)
• Window Functions, Aggregations, and CTEs
• Real-world application, not just in school
• Build new queries from scratch on unfamiliar data and verify accuracy and debug as necessary
• Experience creating dashboards preferably in PowerBI but also Tableau
• Strong in Python with working knowledge of R and SAS a plu s
• Data Wrangling and ETL experience a plus
• Usage of AI to streamline data analysis and reporting tasks
• Strong Excel skills that are demonstratable (Pivot tables, functions, visualizations)
• Competencies and Skills:
• Analytics background w/ experience in one or more of the following: decision/data science, business intelligence and/or data engineering.
• Analyst who can work under minimal supervision and complete tasks given to them from other teammates or leadership.
• Experience building financial models, forecasts, statistical models and cost-benefit analysis for business cases
• Needs to be able to know how to apply various data analysis techniques to gain insights about business problems (e.g. Why customers are leaving) and measure effectiveness of programs/projects.
• Ability to pull data in fragmented data environments, convert it to insights, and provide those insights to leadership to be presented on
• Curiosity / problem solving / critical thinking: needs to be creative about different ways to find data and analyze/build calculations
• Must be able to adapt on the fly to changing business priorities and show a willingness to collaborate with team and business partners
• Able to manage multiple projects at once with varying degrees of prioritization while communicating honestly about current workload
• Must perform collaborative work / analytics across team verticals, working with product, underwriting, channel data, IT, etc
• Experience with survey data specifically for customer experience (NPS, CSAT etc.) and other customer experience analytics like NRR, CLTV
• Solid problem-solving and ability to provide data analysis strategies for new or inflight proects
• Ability to communicate and summarize key insights with storytelling visualizations
• Communication skills: ability to build relationships with stakeholders and provide data-driven storytelling
• Insurance background or knowledge will be helpful but not necessary
• Statistical background having built forecasting models, regression models or similar
Background/Degrees: Statistics, Math, Business Analytics, Data Engineering/Data Science or related field undegrad or Masters equivalent
Position Type: Contract role(6 months)
Location: 100% remote
Pay rate: $98.58/hour on W2
INTERVIEW PROCESS
2 Teams interviews
Job Summary:
• This is a fantastic opportunity to be a part of a high visibility team delivering analytics to the C-Suite
• Team is strong, collaborates well, and already has a lot of processes built for getting data to produce future insights
• Huge priority for team projects – we are funded and have alignment / support from ExCo
• Visibility: CMO and CEO
Tools:
• Expert in SQL (preferably in a Snowflake environment)
• Window Functions, Aggregations, and CTEs
• Real-world application, not just in school
• Build new queries from scratch on unfamiliar data and verify accuracy and debug as necessary
• Experience creating dashboards preferably in PowerBI but also Tableau
• Strong in Python with working knowledge of R and SAS a plu s
• Data Wrangling and ETL experience a plus
• Usage of AI to streamline data analysis and reporting tasks
• Strong Excel skills that are demonstratable (Pivot tables, functions, visualizations)
• Competencies and Skills:
• Analytics background w/ experience in one or more of the following: decision/data science, business intelligence and/or data engineering.
• Analyst who can work under minimal supervision and complete tasks given to them from other teammates or leadership.
• Experience building financial models, forecasts, statistical models and cost-benefit analysis for business cases
• Needs to be able to know how to apply various data analysis techniques to gain insights about business problems (e.g. Why customers are leaving) and measure effectiveness of programs/projects.
• Ability to pull data in fragmented data environments, convert it to insights, and provide those insights to leadership to be presented on
• Curiosity / problem solving / critical thinking: needs to be creative about different ways to find data and analyze/build calculations
• Must be able to adapt on the fly to changing business priorities and show a willingness to collaborate with team and business partners
• Able to manage multiple projects at once with varying degrees of prioritization while communicating honestly about current workload
• Must perform collaborative work / analytics across team verticals, working with product, underwriting, channel data, IT, etc
• Experience with survey data specifically for customer experience (NPS, CSAT etc.) and other customer experience analytics like NRR, CLTV
• Solid problem-solving and ability to provide data analysis strategies for new or inflight proects
• Ability to communicate and summarize key insights with storytelling visualizations
• Communication skills: ability to build relationships with stakeholders and provide data-driven storytelling
• Insurance background or knowledge will be helpful but not necessary
• Statistical background having built forecasting models, regression models or similar
Background/Degrees: Statistics, Math, Business Analytics, Data Engineering/Data Science or related field undegrad or Masters equivalent
Skills
Information TechnologyIT Services and IT ConsultingHospitals and Health Care