Senior Analytics Engineer: AI-Driven BI & Data Modeling (Hybrid)

CSC Generation Enterprise

San Jose (CA)

Hybrid

USD 90,000 - 130,000

Full time

8 days ago

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Benefits offered by this job

Remote work options
Private medical insurance
Life insurance
Additional paid time off
Monthly allowances
Employee discounts

Job summary

CSC Generation Enterprise is seeking a Senior Analytics Engineer to bridge raw data and business decisions across a portfolio of brands. You will model data, define metrics, and build semantic layers to deliver trusted insights that inform strategy and operations.

You’ll own end-to-end analytics, validate data, and partner with data engineering, product, and finance teams to accelerate analytics workflows using AI tooling while maintaining data quality and governance in a lean team.

Qualifications

  • Strong SQL and Python skills for building and debugging analytical models.
  • Experience with cloud data warehouses and data modeling.
  • Familiarity with ERP and web analytics data sources such as NetSuite and Google Analytics.
  • Solid understanding of ETL/ELT, data warehousing, and orchestration with Airflow.
  • Experience reconciling data across systems and aligning metrics/master data.
  • Rigorous data validation and governance mindset.
  • Proficiency with BI tools (Looker, Tableau, Power BI) and building semantic data models.
  • Fluency with AI coding and analysis tools, with critical validation of outputs.
  • Strong business acumen, KPI definition, and translating questions into analytics.
  • Proven ability to partner with data engineering, stakeholders, and external vendors.

Responsibilities

  • Write, review, and debug SQL and Python to build analytical data models.
  • Design semantic layers and reusable data models in BI tools.
  • Integrate and reconcile data across multiple systems and units.
  • Validate data rigorously and reconcile ERP and analytics discrepancies.
  • Scope feasibility and set delivery expectations for data requests.
  • Define KPIs and translate business questions into analyses.
  • Leverage AI tools to accelerate analysis while reviewing outputs.
  • Partner with data engineering and stakeholders to deliver insights and maintain data quality.

Skills

SQL
Python
KPIs definition
Stakeholder collaboration
AI tooling awareness
Data modeling

Tools

BigQuery
Snowflake
Redshift
Looker
Tableau
Power BI
Airflow
NetSuite
Google Analytics
Claude Code
Codex

Job description

CSC Generation Enterprise is seeking a Senior Analytics Engineer to bridge raw data and business decisions across a portfolio of brands. You will model data, define metrics, and build semantic layers to deliver trusted insights that inform strategy and operations.

You’ll own end-to-end analytics, validate data, and partner with data engineering, product, and finance teams to accelerate analytics workflows using AI tooling while maintaining data quality and governance in a lean team.

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