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Information Technology 🏢 Full Time ⭐️ Verified

Urgent Hire: Data Analyst - Indianapolis, IN

TechCorp Solutions
Indianapolis
Estimated Salary
USD 85.000 – USD 110.000
New
Live Update
1 Oktober 2026
Deadline
1 Okt 2027

Job Description

Join our elite data team at TechCorp Solutions – a leading innovator in AI-driven analytics! We're urgently seeking a Data Analyst to transform raw data into actionable insights for Fortune 500 clients. If you're passionate about solving complex problems with data and thrive in a fast-paced environment, this is your moment to make an immediate impact. Enjoy competitive compensation, flexible work arrangements, and the opportunity to shape the future of data science.

Responsibilities

  • Analyze complex datasets using SQL, Python, and R to identify business trends and opportunities
  • Create interactive dashboards and visualizations using Tableau and Power BI
  • Collaborate with cross-functional teams to define KPIs and reporting frameworks
  • Develop predictive models to forecast market behaviors and optimize operations
  • Present findings to executive stakeholders through compelling data narratives
  • Maintain data integrity through rigorous validation and quality control processes
  • Drive A/B testing initiatives to validate hypotheses and improve product performance

Qualifications

  • Bachelor's degree in Data Science, Statistics, Computer Science, or related field
  • 3+ years of professional data analysis experience in tech or e-commerce
  • Expert proficiency in SQL, Python (Pandas/NumPy), and statistical modeling
  • Advanced skills in data visualization tools (Tableau, Power BI, D3.js)
  • Strong business acumen with ability to translate data into strategic recommendations
  • Experience with cloud platforms (AWS/GCP/Azure) and big data technologies
  • Proven track record of delivering insights that drive revenue growth or cost reduction

Required Skills

Data Analysis SQL Python R Tableau Power BI Statistical Modeling Data Visualization Business Intelligence Predictive Analytics AWS

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