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Remote Data Analyst - Indianapolis, IN (WFH)

IndyTech Analytics
Indianapolis
Estimated Salary
USD 65.000 – USD 85.000
New
Live Update
14 Juli 2026
Deadline
14 Jul 2027

Job Description

Are you a detail-oriented analyst looking for a flexible work environment? IndyTech Analytics is seeking a skilled Remote Data Analyst to join our growing team in Indianapolis. This is a fully remote position that offers the freedom to work from anywhere while contributing to high-impact data projects that drive business strategy.

We are looking for a candidate who can translate complex data sets into actionable insights. If you thrive in a dynamic, remote-first culture and possess a passion for uncovering the stories behind the numbers, we want to hear from you.

Responsibilities

  • Data Management: Collect, clean, and transform large, complex datasets from various sources to ensure accuracy and integrity for analysis.
  • Visualization: Create interactive dashboards and reports using tools like Tableau or Power BI to visualize key performance indicators (KPIs) for stakeholders.
  • SQL & Coding: Write efficient SQL queries to extract data and utilize Python or R for advanced data manipulation and statistical analysis.
  • Reporting: Develop and present data-driven insights to management and cross-functional teams to support decision-making processes.
  • Process Improvement: Identify trends and anomalies in data to recommend process improvements and operational efficiencies.
  • Collaboration: Work closely with product managers and engineers to define data requirements and implement analytical solutions.

Qualifications

  • Education: Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, or a related field is required.
  • Experience: Minimum of 2-3 years of experience in data analysis, preferably in a remote or hybrid setting.
  • Technical Skills: Proficiency in SQL (PostgreSQL, MySQL), Python (Pandas, NumPy), and data visualization tools (Tableau, Looker, or Power BI).
  • Communication: Excellent verbal and written communication skills with the ability to explain complex data concepts to non-technical audiences.
  • Tools: Strong command of Microsoft Excel (VLOOKUP, Pivot Tables, Macros) and data cleaning techniques.
  • Soft Skills: Strong analytical thinking, attention to detail, and the ability to manage multiple projects in a remote environment.

Required Skills

SQL Python Tableau Data Visualization Data Cleaning Excel Statistical Analysis Remote Work

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