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Information Technology 🏢 Full Time ⭐️ Verified

Senior Data Analyst - Tampa, FL (Flexible Hours)

TechNova Analytics
Tampa
Estimated Salary
USD 65.000 – USD 90.000
Live Update
27 Juli 2026
Deadline
27 Jul 2027

Job Description

Are you a data-driven professional looking for a role that values flexibility and impact? TechNova Analytics is seeking a talented Data Analyst to join our Tampa team. We pride ourselves on a modern, collaborative culture that allows you to thrive without the rigid 9-to-5 grind. If you have a passion for turning complex datasets into actionable business insights, we want to hear from you.

In this role, you will work closely with cross-functional teams to identify trends, optimize processes, and drive strategic decision-making. We offer a flexible schedule, competitive compensation, and opportunities for professional growth.

Responsibilities

  • Data Management: Collect, clean, and validate large datasets to ensure accuracy and integrity for reporting purposes.
  • Visualization: Create intuitive dashboards and reports using tools like Tableau, Power BI, or Looker to visualize key performance indicators (KPIs).
  • Statistical Analysis: Perform advanced statistical analysis and modeling to uncover hidden patterns and trends within the data.
  • Collaboration: Partner with stakeholders to understand business needs and translate them into data-driven solutions.
  • Process Improvement: Identify operational inefficiencies and propose data-backed strategies to improve business performance.

Qualifications

  • Education: Bachelor’s degree in Mathematics, Statistics, Computer Science, or a related field.
  • Experience: Proven experience (3+ years) as a Data Analyst or similar role.
  • Technical Skills: Proficiency in SQL for database querying and experience with Python or R for data manipulation.
  • Tools: Strong command of Excel and experience with visualization software (Tableau, Power BI, or Qlik).
  • Communication: Excellent verbal and written communication skills to present complex data findings to non-technical audiences.
  • Soft Skills: Strong problem-solving abilities and the ability to work independently in a flexible environment.

Required Skills

SQL Python Tableau Power BI Data Analysis Statistical Modeling Excel Data Visualization

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