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Urgently Hiring: Data Analyst in Houston, TX

InnovateData Analytics
Houston, TX, USA
Estimated Salary
USD 75.000 – USD 95.000
New
Live Update
25 September 2026
Deadline
25 Sep 2027

Job Description

Join InnovateData Analytics as a Data Analyst and transform raw data into actionable business intelligence. We're urgently seeking a detail-oriented professional to drive data-driven decision-making in our fast-paced Houston headquarters. Enjoy competitive compensation, comprehensive benefits, and relocation assistance to relocate to the vibrant Energy Capital of the World. Collaborate with cross-functional teams to uncover trends, optimize processes, and deliver impactful insights that shape our strategic direction. If you're passionate about solving complex problems with data and thrive in a collaborative environment, we want to hear from you!

Responsibilities

  • Analyze complex datasets to identify trends, patterns, and anomalies using SQL, Python, and statistical tools
  • Create interactive dashboards and visualizations using Tableau/Power BI to communicate findings to stakeholders
  • Develop and maintain automated data pipelines for efficient reporting and analysis
  • Collaborate with product and marketing teams to define KPIs and track performance metrics
  • Present data-driven recommendations to senior leadership to inform strategic decisions
  • Ensure data quality through rigorous validation and troubleshooting processes
  • Stay current with industry trends and emerging analytics technologies

Qualifications

  • Bachelor's degree in Data Science, Statistics, Computer Science, or related field (Master's preferred)
  • 3+ years of experience as a Data Analyst or similar role
  • Expert proficiency in SQL and at least one programming language (Python/R)
  • Strong experience with data visualization tools (Tableau/Power BI)
  • Proven ability to translate complex data into actionable business insights
  • Experience with statistical analysis and hypothesis testing
  • Excellent communication skills with ability to present to non-technical audiences
  • Experience working with large datasets and cloud platforms (AWS/GCP)

Required Skills

SQL Python Tableau Power BI Data Visualization Statistical Analysis Data Warehousing ETL Processes Machine Learning

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