Data Analyst – Analytics & Strategy
Role Overview
The Data Analyst owns recurring reporting while investigating open-ended business questions through ad hoc analysis and project work.
The role balances reliable, increasingly automated reporting with cross-company analysis that supports major decisions.
The work is used by executives, the board, teams across the company, and external partners; accuracy and attention to detail are important.
Key Skills for This Role
Full Job Posting
Role overview
The Data Analyst owns recurring reporting while investigating open-ended business questions through ad hoc analysis and project work.
The role balances reliable, increasingly automated reporting with cross-company analysis that supports major decisions.
The work is used by executives, the board, teams across the company, and external partners; accuracy and attention to detail are important.
Reporting, maintenance, and automation
- Own and maintain recurring reports and Tableau dashboards used by executives and teams.
- Monitor data refreshes and pipelines, troubleshoot issues, and keep stakeholders informed when problems occur.
- Automate manual or repetitive reporting using SQL, scripting, and AI tools.
- Build and maintain data transformation pipelines in Snowflake for reporting and analysis.
- Document reports, metric definitions, and data logic so colleagues can support the work.
- Validate data and check work to ensure published numbers are reliable.
Analysis and projects
- Partner with stakeholders to understand the business questions behind requests.
- Turn loosely defined requests into specific questions, scoped analyses, and clear timelines.
- Help develop data products that inform teams and guide their decisions.
- Build Tableau dashboards from requirements gathering and data modeling through final design.
- Apply statistical techniques to uncover trends, patterns, and correlations, explain performance, and identify opportunities.
- Present findings in plain language with clear recommendations and explain data implications and limitations to stakeholders.
- Use AI tools to accelerate analysis, explore approaches, and prototype solutions; share learnings with the team.
Qualifications
- 2–4 years of experience in data analytics, business intelligence, or a related role.
- Strong SQL skills and experience with a cloud data warehouse such as Snowflake.
- Hands-on Tableau dashboard development from scratch, including data modeling, calculations, and visual design.
- Experience building or maintaining data transformation pipelines.
- Regular practical use of AI tools and curiosity about their effect on analytics.
- Strong written and verbal communication, including explaining technical findings to non-technical audiences.
- Ability to clarify ambiguous requests, manage several priorities, and keep stakeholders updated.
- High attention to detail and commitment to accuracy in executive and board reporting.
- Bachelor’s degree in a quantitative field such as analytics, statistics, economics, computer science, or business, or equivalent experience.
- Collaborative, accountable approach and ability to work across teams in a fast-moving environment.
Additional preferred experience
- Experience with dbt or a similar transformation tool is a plus.
- Python for data processing, automation, or analysis is a plus.
- Experience in retail, fashion, direct sales, or another consumer business is a plus.
- Familiarity with performance marketing and acquisition platforms is a plus.
About CAbi
CAbi is a women’s retail clothing company focused on apparel, connection, community, and opportunities for its Stylists and clients.
The company describes its culture as collaborative, entrepreneurial, and people-first.
Compensation
- The listed salary range is $75,000–$85,000 per year.
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