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Information Technology 🏢 Full Time ⭐️ Verified

Senior Data Analyst (Remote/Hybrid)

Apex Innovations
Austin
Estimated Salary
USD 85.000 – USD 125.000
Live Update
16 Juli 2026
Deadline
16 Jul 2027

Job Description

About the Role:
We are seeking a results-oriented Senior Data Analyst to join our elite team in Austin, TX. In this pivotal role, you will drive data-driven decision-making processes across the organization. We offer a hybrid work model and a competitive compensation package for top-tier talent.


Why Join Us?
• Competitive salary and equity package
• Flexible remote work options
• Comprehensive health benefits and professional development budget
• Collaborative and innovative work culture

Responsibilities

  • Strategic Analysis: Design and implement complex data models and architectures to support advanced business intelligence initiatives and reporting needs.
  • Stakeholder Collaboration: Partner with cross-functional teams to identify key performance indicators (KPIs) and uncover actionable insights that drive revenue growth.
  • Data Integrity: Ensure the accuracy, consistency, and quality of data by performing rigorous cleaning, validation, and ETL processes.
  • Visualization: Create compelling, interactive dashboards (Tableau/PowerBI) that transform raw data into clear, visual narratives for executive leadership.
  • Process Optimization: Streamline data workflows and automate reporting processes to increase operational efficiency.

Qualifications

  • Experience: 3+ years of proven experience in data analysis, business intelligence, or data science.
  • Technical Skills: Strong proficiency in SQL for complex querying, Python or R for scripting, and experience with data visualization tools (Tableau, Power BI, or Looker).
  • Education: Bachelor’s degree in Computer Science, Statistics, Mathematics, or a related quantitative field.
  • Communication: Excellent verbal and written communication skills with the ability to translate complex data findings into strategic business recommendations.
  • Tools: Familiarity with cloud platforms (AWS, Azure, or GCP) and big data technologies (Spark, Hadoop) is a plus.

Required Skills

SQL Python Tableau Power BI Data Visualization ETL Statistics Business Intelligence

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