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Information Technology 🏢 Full Time ⭐️ Verified

Night Shift Data Analyst

DataInsights Solutions
Indianapolis, IN
Estimated Salary
USD 65.000 – USD 85.000
New
Live Update
29 September 2026
Deadline
29 Sep 2027

Job Description

Join our dynamic analytics team as a Night Shift Data Analyst and transform raw data into strategic insights that drive business growth. This critical role offers the flexibility of overnight hours while working with cutting-edge technologies to solve complex challenges. At DataInsights Solutions, we empower our analysts with autonomy, competitive compensation, and a collaborative culture focused on innovation. If you're a detail-oriented professional passionate about turning data into actionable decisions, this is your opportunity to excel in a supportive environment.

Responsibilities

  • Analyze large datasets to identify trends, anomalies, and business opportunities using SQL, Python, and statistical tools
  • Create interactive dashboards and reports using Tableau/Power BI to visualize key performance indicators
  • Collaborate with cross-functional teams to deliver data-driven recommendations for operational improvements
  • Monitor data quality, troubleshoot discrepancies, and implement validation protocols
  • Support ad-hoc analysis requests and present findings to stakeholders through clear documentation
  • Automate reporting processes to enhance efficiency and accuracy of data delivery
  • Stay updated on industry trends and emerging analytics technologies

Qualifications

  • Bachelor's degree in Data Science, Statistics, Computer Science, or related field (or equivalent experience)
  • 3+ years of experience in data analysis with proven SQL proficiency
  • Strong skills in data visualization tools (Tableau/Power BI) and programming (Python/R)
  • Familiarity with ETL processes and data warehousing concepts
  • Exceptional problem-solving abilities with attention to detail
  • Ability to work independently during overnight hours (10 PM - 6 AM)
  • Experience with statistical analysis and machine learning fundamentals
  • Excellent communication skills for translating technical insights to non-technical stakeholders

Required Skills

SQL Python Tableau Power BI Data Visualization Statistical Analysis ETL Data Warehousing Machine Learning

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