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# Senior Data Analytics

- **Company:** Futuremindz llc
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** 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, 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
- **Published:** November 14, 2026
- **Apply:** https://www.dice.com/job-detail/e39bcb73-6506-43d0-b87d-a1aebecc6e33

## About the Role

+ 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

## 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.