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Information Technology 🏢 Full Time ⭐️ Verified

Entry-Level Data Analyst

InnovateTech Solutions
Indianapolis
Estimated Salary
USD 55.000 – USD 75.000
New
Live Update
2 September 2026
Deadline
2 Sep 2027

Job Description

Join our dynamic team at InnovateTech Solutions, a leading tech company revolutionizing data-driven decision-making in Indianapolis! We're urgently seeking passionate Entry-Level Data Analysts to transform raw data into actionable insights. This is your gateway to launching a career in analytics with mentorship from industry experts and exposure to cutting-edge technologies. Enjoy competitive benefits, flexible work arrangements, and a collaborative culture that values innovation. Apply today to become part of our mission to power smarter business decisions through data excellence!

Responsibilities

  • Analyze complex datasets to identify trends, patterns, and opportunities for business optimization
  • Create compelling visualizations using Tableau, Power BI, and other BI tools
  • Develop SQL queries to extract, clean, and manipulate data from multiple sources
  • Collaborate with cross-functional teams to deliver actionable insights
  • Build and maintain automated reporting dashboards for stakeholders
  • Support A/B testing initiatives and statistical analysis projects
  • Document data processes and maintain data quality standards

Qualifications

  • Bachelor's degree in Data Science, Statistics, Computer Science, or related field
  • 0-2 years of experience with data analysis or relevant internships
  • Proficiency in SQL and experience with database management systems
  • Strong knowledge of Excel, including advanced functions and pivot tables
  • Familiarity with data visualization tools (Tableau, Power BI, or similar)
  • Basic understanding of statistical analysis and machine learning concepts
  • Excellent problem-solving skills and attention to detail
  • Ability to communicate complex findings to non-technical stakeholders

Required Skills

SQL Excel Tableau Power BI Data Visualization Statistical Analysis Data Cleaning Python R Business Intelligence

Ready to Take This Challenge?

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