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Information Technology 🏢 Full Time ⭐️ Verified

Senior Data Analyst

Innovate Omaha Corp
Omaha
Estimated Salary
USD 75.000 – USD 95.000
Live Update
20 Juli 2026
Deadline
20 Jul 2027

Job Description

Are you a data enthusiast looking to make a tangible impact in the heart of the Midwest? Innovate Omaha Corp is seeking a highly skilled and analytical Senior Data Analyst to join our dynamic team.

We are driven by data. Our mission is to leverage big data to optimize business processes, drive strategic decision-making, and unlock new revenue streams. If you have a passion for turning complex datasets into clear, actionable insights, we want to hear from you.

Why Join Us?
We offer a competitive benefits package, a collaborative culture, and the opportunity to work with cutting-edge technology in a fast-paced environment.

Responsibilities

  • Lead Data Strategy: Design and implement comprehensive data analysis strategies that align with business goals.
  • Advanced Reporting: Create interactive dashboards and reports using Tableau and Power BI to visualize complex data trends for stakeholders.
  • Data Mining & Cleaning: Extract, clean, and transform large datasets from various sources using SQL and Python.
  • Statistical Analysis: Conduct in-depth statistical analysis to identify patterns, correlations, and anomalies in data.
  • Stakeholder Communication: Collaborate with cross-functional teams to present findings and recommendations in a clear, concise manner.

Qualifications

  • Education: Bachelor’s degree in Mathematics, Statistics, Computer Science, or a related field.
  • Experience: Minimum of 4 years of professional experience in data analysis or business intelligence.
  • Technical Skills: Proficiency in SQL, Python (Pandas, NumPy), and visualization tools (Tableau, Power BI).
  • Database Knowledge: Strong understanding of SQL database structures and querying.
  • Problem Solving: Exceptional analytical skills with a keen eye for detail and accuracy.

Required Skills

SQL Python Tableau Power BI Data Analysis Statistical Modeling Data Warehousing

Ready to Take This Challenge?

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