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Information Technology 🏢 Full Time ⭐️ Verified

Senior Data Analyst | Indianapolis, IN

Quantum Analytics
Indianapolis
Estimated Salary
USD 85.000 – USD 115.000
Live Update
8 Juli 2026
Deadline
8 Jul 2027

Job Description

Quantum Analytics is a forward-thinking technology firm headquartered in the heart of Indianapolis. We are seeking a highly skilled and analytical Senior Data Analyst to join our dynamic team. In this pivotal role, you will act as a key partner to business stakeholders, translating complex datasets into clear, actionable insights that drive strategic growth.

Our commitment to innovation means you will be working with cutting-edge tools and methodologies, empowering you to make a tangible impact on our company's direction. If you are passionate about uncovering stories within data and thrive in a fast-paced, collaborative environment, we want to hear from you.

Responsibilities

  • Drive Strategic Insights: Analyze complex datasets to identify trends, patterns, and opportunities that inform high-level business decisions.
  • Visualize Success: Design and maintain interactive dashboards (Tableau, PowerBI) that provide real-time visibility into key performance indicators (KPIs).
  • Data Governance: Ensure data accuracy, integrity, and consistency across all reporting systems through rigorous cleaning and transformation processes.
  • Stakeholder Collaboration: Partner with product, sales, and marketing teams to define data requirements and deliver tailored analytical solutions.
  • Process Optimization: Automate reporting workflows and develop statistical models to improve operational efficiency and forecasting accuracy.

Qualifications

  • Experience: 3-5+ years of professional experience in data analysis, business intelligence, or a related technical field.
  • Technical Proficiency: Advanced SQL skills (Querying, Joins, Stored Procedures) and proficiency in Python or R for data manipulation.
  • Visualization Tools: Expert-level knowledge of Tableau, PowerBI, or Looker.
  • Education: Bachelor’s degree in Mathematics, Statistics, Computer Science, or a related quantitative discipline.
  • Communication: Exceptional ability to communicate complex data findings to non-technical audiences effectively.

Required Skills

SQL Python Tableau PowerBI Excel Data Modeling A/B Testing Statistics Data Visualization

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