Senior Data Analytics

Job Tittle : Senior Data Analytics
Exp : 12+ years
Visa : and USC
Remote
Job Type : W2

• Strategic Leadership & Stakeholder Management: Partner directly with VPs, directors, and department heads to translate vague business goals into concrete analytical roadmaps and KPI frameworks.
• Advanced Data Modeling & Architecture: Design, build, and optimize scalable data models, star schemas, and dimensional tables in data warehouses (e.g., Snowflake, BigQuery, Redshift).
• Deep-Dive & Predictive Analysis: Move past descriptive reporting into diagnostic, predictive, and prescriptive analysis using statistical methods, A/B testing, or machine learning basics.
• Mentorship & Governance: Establish data governance best practices, conduct code/query reviews, and mentor junior and mid-level analysts.
• Cross-Functional Influence: Champion data-driven cultures across product, marketing, finance, or operations to shape company-wide strategies.

• Technical Stack:
  • Advanced SQL: Window functions, Common Table Expressions (CTEs), query optimization, and performance tuning.
  • Programming: Proficiency in Python or R for automation, statistical analysis, and data manipulation (pandas, NumPy).
  • BI & Visualization: Expert-level mastery in Tableau, Power BI, or Looker, including custom data modeling.
  • Data Warehousing & ETL: Experience with cloud platforms (AWS, Google Cloud Platform, Azure), dbt (data build tool), and orchestration tools like Airflow.
• Analytical & Business Acumen: Deep understanding of experimental design, statistical significance, and translating data into financial or operational impact.
• Soft Skills: Executive communication, conflict resolution, project management, and cross-functional leadership.
• Experience: Typically 9 to 12+ years of hands-on experience in data analytics or business intelligence, often with a Bachelor’s or Master’s degree in a quantitative field (Statistics, Computer Science, Economics, Mathematics