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Senior Data Analytics

Futuremindz llc
United States
1 day ago
Apply on www.dice.com
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
9 years minimum
Working hours
Regular working hours
Job source
www.dice.com

Tech stack

A/B Testing Adaptable Database Systems Airflow Amazon Web Services Microsoft Azure BigQuery Computer Programming Extract Transform Load (ETL) Data Warehousing Python (Programming Language) Machine Learning NumPy
+14 more
Performance Tuning Query Optimization Power BI Tableau (Software) Data Processing Google Cloud Sql Optimization Snowflake Data Build Tool (dbt) Pandas Information Technology Data Analytics Looker Analytics Amazon Redshift

Job description

  • 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.

Requirements

  • 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

Apply for this position

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Apply on www.dice.com
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