Home Job Details
T
Information Technology 🏢 Full Time ⭐️ Verified

Data Analyst (Weekend Shift)

TechNova Solutions
Dallas
Estimated Salary
USD 75.000 – USD 95.000
New
Live Update
12 September 2026
Deadline
12 Sep 2027

Job Description

Join TechNova Solutions, a leading innovator in data-driven technology, as a Weekend Shift Data Analyst. This high-impact role offers the unique opportunity to work during weekend hours while transforming complex datasets into actionable business intelligence. You'll collaborate with cross-functional teams to optimize operations and drive strategic decisions in our Dallas headquarters. Enjoy competitive compensation, flexible scheduling, and career growth in a dynamic environment.

Responsibilities

  • Analyze large datasets using SQL, Python, and advanced BI tools to identify trends and opportunities
  • Create interactive dashboards and visualizations using Tableau/Power BI for executive stakeholders
  • Develop automated reporting pipelines to ensure real-time data accessibility
  • Collaborate with engineering teams to improve data collection methodologies
  • Present findings to leadership with clear, data-backed recommendations
  • Maintain data quality standards through rigorous validation protocols

Qualifications

  • Bachelor's degree in Data Science, Statistics, Computer Science, or related field
  • 3+ years of experience in data analysis with weekend shift availability
  • Expert proficiency in SQL, Python (Pandas/NumPy), and Excel
  • Strong experience with data visualization tools (Tableau/Power BI)
  • Proven ability to translate complex data into business insights
  • Familiarity with cloud platforms (AWS/Azure/GCP) data services
  • Excellent communication and presentation skills

Required Skills

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

Ready to Take This Challenge?

Make sure your resume is ready. Submit your application now before the deadline.

Apply Now

Related Jobs

Similar job recommendations for you

View All