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Information Technology 🏢 Part Time ⭐️ Verified

Data Analyst (Weekend Shift)

TechNova Innovations
Louisville
Estimated Salary
USD 28 – USD 35
New
Live Update
4 September 2026
Deadline
4 Sep 2027

Job Description

Join TechNova Innovations, a cutting-edge tech leader, as a Weekend Data Analyst! We're urgently seeking analytical talent to transform raw data into actionable insights during our high-impact weekend operations. This is your chance to work with industry-leading tools in a dynamic, flexible environment while making a real business impact.

As a key member of our data-driven team, you'll collaborate with cross-functional stakeholders to uncover trends, optimize processes, and drive strategic decisions. We offer competitive compensation, professional development opportunities, and a culture that values innovation and work-life balance. Apply today to join our mission of shaping the future of data analytics!

Responsibilities

  • Analyze complex datasets using SQL, Python, and R to identify business trends and opportunities
  • Create compelling data visualizations using Tableau and Power BI for executive presentations
  • Develop automated reporting dashboards to track KPIs and operational metrics
  • Collaborate with engineering teams to improve data pipeline quality and accessibility
  • Conduct A/B testing and statistical analysis to inform product optimization
  • Document analytical processes and maintain data integrity standards
  • Present findings to stakeholders through clear, concise data narratives

Qualifications

  • Bachelor's degree in Data Science, Statistics, Computer Science, or related field
  • 3+ years of experience in data analysis with proficiency in SQL and Python
  • Expertise in data visualization tools (Tableau/Power BI) and Excel advanced functions
  • Strong statistical analysis and problem-solving abilities
  • Experience working with large datasets and cloud platforms (AWS/GCP)
  • Excellent communication skills with ability to translate technical insights for non-technical audiences
  • Proven ability to meet deadlines in fast-paced, weekend-shift environments

Required Skills

SQL Python Tableau Power BI Data Visualization Statistical Analysis Excel AWS Data Mining

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