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Senior Data Analyst

InnovateTech Analytics
Pittsburgh
Estimated Salary
USD 85.000 – USD 110.000
New
Live Update
5 September 2026
Deadline
5 Sep 2027

Job Description

Join InnovateTech Analytics, a leading data intelligence firm transforming industries through cutting-edge analytics. We're seeking a passionate Senior Data Analyst to drive data-driven decision-making across our client portfolio. This hybrid role combines deep technical expertise with strategic business acumen in a collaborative, fast-paced environment.

Our Pittsburgh-based team thrives on innovation, offering competitive benefits, professional development stipends, and flexible work arrangements. You'll work with Fortune 500 clients in healthcare, finance, and technology sectors.

Responsibilities

  • Develop and maintain complex SQL databases to extract, transform, and analyze large datasets
  • Create compelling data visualizations using Tableau and Power BI for executive stakeholders
  • Design statistical models to identify market trends and predict customer behavior
  • Collaborate with cross-functional teams to define KPIs and implement tracking systems
  • Present analytical findings to senior leadership through executive dashboards
  • A/B test optimization strategies to improve conversion rates by 15%+
  • Maintain data integrity through automated validation protocols

Qualifications

  • Bachelor's degree in Statistics, Mathematics, Computer Science, or related field
  • 5+ years of professional data analysis experience with SQL proficiency
  • Expert knowledge of Python (Pandas, NumPy) and R for statistical analysis
  • Advanced Tableau/Power BI certification with portfolio of 10+ complex dashboards
  • Experience with cloud platforms (AWS/GCP) and big data technologies (Spark)
  • Strong business acumen with ability to translate analytics into actionable insights
  • Excellent communication skills with experience presenting to C-level executives

Required Skills

SQL Python Tableau Power BI Statistical Analysis Data Visualization AWS Machine Learning

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