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Data Analyst

InnovateData Solutions
Dallas, TX
Estimated Salary
USD 75.000 – USD 95.000
New
Live Update
27 September 2026
Deadline
27 Sep 2027

Job Description

Join InnovateData Solutions as a Data Analyst and become the driving force behind our data-driven decision-making revolution. We're seeking a passionate individual to transform complex datasets into actionable insights that shape our business strategy. In this pivotal role, you'll collaborate with cross-functional teams to identify opportunities, optimize operations, and deliver compelling visualizations that influence executive decisions. Our Dallas-based team thrives on innovation, collaboration, and continuous learning – we offer competitive benefits, professional development opportunities, and a dynamic work environment where your analytical skills will make a tangible impact.

Responsibilities

  • Design, develop, and maintain complex SQL queries to extract, clean, and analyze large datasets from multiple sources
  • Create interactive dashboards and visualizations using Tableau/Power BI to communicate key performance metrics and trends
  • Conduct ad-hoc statistical analysis to identify patterns, anomalies, and opportunities for business improvement
  • Collaborate with product and marketing teams to define KPIs and track campaign performance
  • Present findings to stakeholders through clear, concise reports and data storytelling presentations
  • Automate reporting processes using Python or R to enhance efficiency and scalability
  • Maintain data integrity and governance standards across all analytical outputs

Qualifications

  • Bachelor's degree in Data Science, Statistics, Computer Science, or related field (Master's preferred)
  • 3+ years of experience in data analysis with proven track record of delivering actionable insights
  • Expert proficiency in SQL and experience with relational databases (PostgreSQL, MySQL)
  • Advanced skills in data visualization tools (Tableau, Power BI, or Looker)
  • Strong knowledge of statistical analysis methods and experimental design
  • Proficiency in Python (Pandas, NumPy) or R for data manipulation and analysis
  • Experience with cloud platforms (AWS, Azure, or GCP) and data warehousing concepts
  • Exceptional communication skills with ability to translate technical findings for non-technical audiences

Required Skills

SQL Tableau Python Data Visualization Statistical Analysis Business Intelligence Data Cleaning AWS Excel

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