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Information Technology 🏢 Full Time ⭐️ Verified

Senior Data Analyst - Sacramento, CA | Remote/Hybrid

Apex Data Solutions
Sacramento
Estimated Salary
USD 90.000 – USD 130.000
Live Update
15 Juli 2026
Deadline
15 Jul 2027

Job Description

Are you a strategic thinker with a passion for transforming raw data into actionable business insights? Apex Data Solutions is looking for a Senior Data Analyst to join our dynamic team in Sacramento, CA. We are proud to offer a flexible work environment with remote options and hybrid schedules, allowing you to balance your professional growth with your personal life.

In this role, you will partner with cross-functional teams to drive decision-making processes, optimize business performance, and uncover new revenue opportunities. If you are ready to take your career to the next level in a thriving tech hub, we want to hear from you.

Responsibilities

  • Data Strategy & Modeling: Design, develop, and maintain complex data models and ETL processes to ensure data integrity and accessibility.
  • Advanced Analytics: Perform deep-dive statistical analysis, A/B testing, and predictive modeling to support key business initiatives.
  • Visualization: Create intuitive, interactive dashboards (Tableau, Power BI) that provide real-time insights to stakeholders.
  • SQL Optimization: Write and optimize complex SQL queries to retrieve, clean, and manipulate large datasets efficiently.
  • Reporting: Deliver comprehensive monthly and quarterly reports that highlight trends, risks, and growth opportunities.
  • Collaboration: Work closely with product managers and engineers to translate business requirements into technical solutions.

Qualifications

  • Education: Bachelor’s degree in Computer Science, Statistics, Mathematics, or a related field (Master’s preferred).
  • Experience: 4+ years of experience in data analysis, business intelligence, or a related role.
  • Tech Stack: Strong proficiency in SQL, Python (Pandas/NumPy), and visualization tools like Tableau or Power BI.
  • Soft Skills: Excellent communication skills with the ability to explain complex data concepts to non-technical audiences.
  • Tools: Experience with big data technologies (Spark, Hadoop) is a plus.

Required Skills

SQL Python Tableau Power BI Excel ETL Data Modeling A/B Testing Statistics

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