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Information Technology 🏢 Full Time ⭐️ Verified

Senior Data Analyst

InnovateTech Solutions
Charlotte
Estimated Salary
USD 85.000 – USD 110.000
New
Live Update
23 September 2026
Deadline
23 Sep 2027

Job Description

Join our award-winning analytics team in Charlotte and transform complex data into actionable business insights. InnovateTech Solutions is seeking a passionate Senior Data Analyst to drive strategic decision-making through advanced data modeling, visualization, and storytelling. You'll collaborate with cross-functional teams to optimize operations, identify growth opportunities, and deliver impactful reports that shape our company's future.

Responsibilities

  • Design and implement scalable data pipelines using SQL, Python, and cloud platforms (AWS/GCP)
  • Create compelling visualizations and dashboards using Tableau/Power BI for executive stakeholders
  • Analyze large datasets to uncover trends, anomalies, and predictive insights
  • Partner with product and marketing teams to measure campaign effectiveness and ROI
  • Develop statistical models to forecast market trends and customer behavior
  • Present findings to leadership teams through clear, data-driven narratives
  • Maintain data integrity and governance frameworks across all analytics projects

Qualifications

  • Bachelor's degree in Data Science, Statistics, Computer Science, or related field (Master's preferred)
  • 5+ years of professional data analysis experience with SQL and Python
  • Expert proficiency in Tableau or Power BI with portfolio of complex dashboards
  • Strong statistical modeling skills (regression, clustering, time-series analysis)
  • Experience with cloud data warehouses (BigQuery, Redshift, Snowflake)
  • Proven ability to translate technical findings into business recommendations
  • Excellent communication skills with ability to present to non-technical audiences
  • Experience in e-commerce, SaaS, or fintech industries preferred

Required Skills

SQL Python Tableau Power BI AWS Statistical Modeling Data Visualization Data Pipeline Development

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