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Information Technology 🏢 Full Time ⭐️ Verified

Senior Data Analyst - Immediate Hire

TechNova Solutions
Omaha
Estimated Salary
USD 85.000 – USD 110.000
New
Live Update
18 September 2026
Deadline
18 Sep 2027

Job Description

Join TechNova Solutions as a Senior Data Analyst and become the driving force behind data-driven decision making in our fast-paced tech environment. We're seeking an immediate hire to transform complex datasets into actionable insights that propel our innovation forward. This role offers unparalleled growth opportunities within one of Omaha's leading tech companies, where your expertise will directly impact product development and business strategy. If you thrive in dynamic settings and possess a passion for turning numbers into narratives, this is your moment to shine.

Responsibilities

  • Analyze large datasets using SQL, Python, and R to identify trends and opportunities
  • Develop interactive dashboards and visualizations using Tableau/Power BI
  • Collaborate with cross-functional teams to deliver data-driven recommendations
  • Design and implement A/B testing frameworks for product optimization
  • Automate reporting workflows to enhance efficiency and accuracy
  • Present findings to executive stakeholders with clear, compelling narratives
  • Maintain data integrity through rigorous validation and quality checks

Qualifications

  • Bachelor's degree in Data Science, Statistics, Computer Science, or related field
  • 3+ years of professional data analysis experience
  • Expert proficiency in SQL, Python (Pandas, NumPy), and statistical analysis
  • Advanced skills in data visualization tools (Tableau, Power BI, or D3.js)
  • Strong business acumen with experience translating data into strategic insights
  • Proven ability to manage multiple projects in deadline-driven environments
  • Excellent communication skills with ability to articulate complex concepts to non-technical audiences

Required Skills

SQL Python R Tableau Power BI Data Visualization Statistical Analysis A/B Testing Business Intelligence Data Mining

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