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Information Technology 🏢 Full Time ⭐️ Verified

Data Analyst (Weekend Shift)

TechNova Analytics
Indianapolis
Estimated Salary
USD 75.000 – USD 95.000
New
Live Update
27 September 2026
Deadline
27 Sep 2027

Job Description

Join TechNova Analytics, a leading innovator in data intelligence, as a Weekend Shift Data Analyst. This role offers the unique opportunity to leverage cutting-edge analytics tools while enjoying a flexible weekend schedule. You'll transform complex datasets into actionable insights that drive strategic decisions for Fortune 500 clients. Our Indianapolis hub combines startup agility with enterprise resources, providing an ideal environment for data professionals seeking impact and work-life balance.

We offer competitive compensation, comprehensive benefits, and career advancement opportunities in a collaborative, tech-forward environment. As part of our data excellence team, you'll directly influence product development and business intelligence initiatives.

Responsibilities

  • Analyze large datasets using SQL, Python, and BI tools to identify trends and opportunities
  • Create interactive dashboards and reports using Tableau/Power BI for executive stakeholders
  • Collaborate with cross-functional teams to translate business questions into data solutions
  • Develop automated data pipelines to ensure data quality and accessibility
  • Present findings to leadership with clear, actionable recommendations
  • Maintain data integrity through rigorous validation and documentation practices
  • Support weekend-specific data operations and real-time monitoring

Qualifications

  • Bachelor's degree in Data Science, Statistics, Computer Science, or related field
  • 3+ years of experience in data analytics with SQL proficiency
  • Expertise in Python (Pandas, NumPy) and visualization tools (Tableau/Power BI)
  • Strong statistical analysis and problem-solving abilities
  • Experience working with large-scale datasets in cloud environments (AWS/GCP)
  • Ability to thrive in weekend shift schedule with flexible weekday availability
  • Excellent communication skills for translating technical insights to non-technical audiences
  • Proven track record of delivering data-driven business impact

Required Skills

SQL Python Tableau Power BI Data Visualization Statistical Analysis AWS Cloud Computing Data Pipelines Business Intelligence

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