Data Analyst – Analytics & Strategy

cabi•Long Beach, CA

About The Position

cabi is seeking a Data Analyst to own recurring reporting and investigate open-ended business questions. Approximately half of the role focuses on maintaining accurate, reliable core reporting and making it increasingly automated; the other half involves ad hoc analysis and project work with teams across the company. The analyst will translate loosely defined requests into clear analyses and recommendations, with a high level of accuracy for work used by executives, the board, and external partners. The role also uses AI tools to improve the speed and effectiveness of analytics work. The position maintains recurring reports and Tableau dashboards, monitors data refreshes and pipelines, builds data transformation pipelines in Snowflake, and documents reporting and data logic. It also partners with stakeholders to develop data products, create dashboards, apply statistical techniques to business questions, and communicate findings and limitations in plain language. The salary range is $75,000–$85,000, with potential eligibility for a bonus of up to 10%.

Requirements

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 experience building Tableau dashboards 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 potential in analytics.
Excellent written and verbal communication skills, including explaining technical findings to non-technical audiences.
Ability to clarify ambiguous requests and turn them into focused analyses.
High attention to detail, including catching errors, sanity-checking figures against business context, and maintaining accuracy for executive and board reporting.
Ability to manage several priorities at once and keep stakeholders informed.
Bachelor's degree in a quantitative field such as analytics, statistics, economics, computer science, or business, or equivalent experience.
Collaborative mindset and eagerness to work across teams in a fast-moving environment.
Strong teamwork, ownership, and accountability.

Nice To Haves

Experience with dbt or a similar transformation tool.
Python for data processing, automation, or analysis.
Experience in retail, fashion, direct sales, or another consumer business.
Familiarity with performance marketing and acquisition platforms such as Google Analytics, Meta, Instagram, and TikTok.
Familiarity with Tableau Server or Tableau Cloud administration.

Responsibilities

Own and maintain recurring reports and Tableau dashboards used by executives and teams across the company.
Monitor data refreshes and pipelines, troubleshoot issues, and keep stakeholders informed when problems occur.
Identify repetitive reporting tasks and automate them using SQL, scripting, and AI tools.
Build and maintain data transformation pipelines in the Snowflake cloud data warehouse.
Document reports, metric definitions, and data logic.
Validate data and check work to ensure published figures are trustworthy.
Partner with stakeholders to understand the business questions behind requests.
Turn ambiguous requests into specific questions, scoped analyses, and clear timelines.
Help develop data products that inform teams and guide decision-making.
Design and build Tableau dashboards, from requirements gathering and data modeling through final design.
Apply statistical techniques to identify trends, patterns, and correlations, explain performance, and identify opportunities.
Present findings in plain language with clear recommendations and explain what the data means for stakeholder decisions, including its limitations.
Use AI tools to accelerate analysis, explore approaches, prototype solutions, and share learnings with the team.
Manage multiple priorities and keep stakeholders updated on progress.
Support colleagues and take ownership and accountability for the team's work.