Data Analytics Engineer
7 hours ago
ROLES AND RESPONSIBILITIES
- SQL Proficiency for Analytics
○ Writes optimized queries to support BI workloads.
○ Uses window functions, CTEs, and subqueries for analytical transformations.
○ Tunes queries with a focus on speed for dashboards and reporting.
○ Adapts across SQL dialects (PostgreSQL, BigQuery, Snowflake, etc.).
- Data Modeling G Warehousing
○ Designs star/snowflake schemas for BI use cases.
○ Balances Kimball (analytics-oriented) and Inmon (integration) approaches.
○ Optimizes partitioning and clustering for query efifiiciency (rather than compute efficiency).
- BI Readiness G Reporting Support
○ Builds curated datasets for BI tools (Looker, Tableau, Power BI).
○ Collaborates with analysts to ensure usability of datasets.
- Data Quality G Validation
○ Implements automated testing in dbt or similar.
○ Familiarity with observability tools.
○ Ensures trustworthiness of analytics-layer tables.
- Pipeline Development (Analytics-Focused)
○ Orchestrates workflows with dbt, Airflow, or Fivetran.
○ Manages ELT with emphasis on transfiormation in the warehouse.
- Governance G Privacy (User-Facing Data)
○ Implements data masking and role-based access control for analysts.
○ Ensures compliance at the analytics layer.
QUALIFICATIONS
Education & Experience:
● Bachelor's degree in Business, Data Science, Information Systems, or related field; Master's preferred
● 3-5 years of experience in business analysis, data/analytics, or consulting roles with increasing scope
● Experience leading cross-functional data initiatives across multiple domains (e.g., marketing, operations, finance)
Preferred Certifications:
Data visualization or analytics platform certifications (Google Data Analytics Professional Certificate, Power BI Data Analyst Associate, Tableau Desktop Specialist, etc.)
Data storytelling, product thinking, or stakeholder engagement training is a plus
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