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CSC Generation is an AI-enabled multi-brand platform that acquires and transforms legacy businesses into profitable, digital-first consumer-centric enterprises. The company owns and operates 13+ brands including Sur La Table, Backcountry, and One Kings Lane, generating $1B+ in revenue with over 2,000 employees across North America.
You will serve as a Senior Analytics Engineer, bridging business teams, analytics, and engineering to build trusted, reconciled data assets across CSC's diverse portfolio. This role goes beyond routine reporting—you'll own the analytical layer between raw data and business decisions, modeling data, defining metrics, building semantic layers, and partnering with stakeholders to turn ambiguous questions into clear, validated answers.
Key responsibilities include:
- Writing, reviewing, and debugging SQL and Python code (including AI-generated code) to build and maintain analytical data models across the portfolio
- Designing and maintaining semantic layers and reusable data models in BI tools (Looker, Tableau, Power BI) as the single source of truth for business metrics
- Integrating and reconciling data across multiple systems and business units, aligning metric definitions and master data such as customers and products
- Validating data rigorously, identifying plausible but incorrect results, and reconciling discrepancies across ERP, web analytics, and other sources
- Scoping technical feasibility, effort, and trade-offs for new data requests from business teams
- Defining KPIs and translating business questions into analytical approaches with actionable recommendations
- Leveraging AI tools (Claude Code, Codex) to accelerate analysis, coding, and documentation while critically reviewing outputs
- Partnering with data engineering, business stakeholders, and external vendors to deliver insights and maintain data quality
This is a lean team environment where you will own a lot, move fast, and make decisions with full end-to-end responsibility. Success in the first 6–12 months means delivering reconciled cross-brand metrics that stakeholders trust, establishing reusable data models in the BI layer, and demonstrating measurable acceleration of analytics workflows through AI tooling.
The role reports to the Director of Finance & Business Intelligence and offers cross-functional impact across marketing, finance, operations, and merchandising. You will work primarily remotely with an in-person interview requirement at the Escazu office.
REQUIREMENTS:
- Strong SQL and Python skills, with the ability to write, review, and debug code efficiently, including AI-generated code
- Experience with cloud data warehouses (BigQuery, Snowflake, Redshift) and data modeling
- Familiarity with ERP and web analytics data sources (NetSuite, Google Analytics)
- Solid understanding of ETL/ELT pipelines, data warehousing, and orchestration tools (Airflow)
- Experience integrating and reconciling data across multiple systems or business units, including aligning metric definitions and master data
- Rigorous approach to data validation and governance with strong instinct for identifying inaccurate results
- Proficiency with at least one modern BI tool (Looker, Tableau, Power BI), including building semantic layers or reusable data models
- Fluency with AI coding and analysis tools, with judgment to critically validate their outputs
- Strong business acumen with experience defining KPIs and translating business questions into analytical approaches
- Proven ability to partner with data engineering, business stakeholders, and external vendors, setting realistic expectations on delivery
PREFERRED QUALIFICATIONS:
- Solid foundation in statistics and experimentation (A/B testing, hypothesis testing)
- Experience building AI-assisted workflows or enabling a team to adopt AI tools for analytics
- Experience in e-commerce, retail, or marketing analytics (affiliate, attribution)
