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Senior Data Analyst - Remote (Sacramento, CA)

Apex Analytics Solutions
Sacramento
Estimated Salary
USD 75.000 – USD 110.000
New
Live Update
6 Mei 2026
Deadline
6 Mei 2027

Job Description

Are you a data enthusiast ready to drive strategic decision-making from the comfort of your home in Sacramento?

Apex Analytics Solutions is looking for a highly skilled Senior Data Analyst to join our dynamic remote team. We are revolutionizing how businesses leverage data to optimize performance and uncover hidden opportunities. If you have a knack for transforming raw numbers into actionable business intelligence, we want to hear from you.

In this role, you will act as the bridge between complex data sets and executive strategy. You will work closely with cross-functional teams to identify trends, build predictive models, and deliver comprehensive reporting dashboards that empower our stakeholders to make informed decisions.

Responsibilities

  • Data Collection & Cleaning: Gather, integrate, and clean massive datasets from various sources to ensure high-quality input for analysis.
  • Statistical Analysis: Conduct in-depth statistical analysis to identify patterns, correlations, and anomalies within the data.
  • Dashboard Creation: Design and maintain interactive data visualizations using tools like Tableau or Power BI to track key performance indicators (KPIs) and growth metrics.
  • Report Generation: Produce clear, concise, and compelling reports for stakeholders, translating complex data findings into business recommendations.
  • Process Improvement: Collaborate with engineering and product teams to improve data pipelines and enhance data governance frameworks.
  • Strategic Insight: Proactively identify business problems and propose data-driven solutions to drive operational efficiency and revenue growth.

Qualifications

  • Education: Bachelor’s degree in Mathematics, Statistics, Computer Science, Economics, or a related field.
  • Experience: 3-5+ years of professional experience in data analysis or business intelligence.
  • Technical Skills: Proficiency in SQL for data extraction and manipulation; strong experience with Python or R for advanced analytics.
  • Visualization: Expert level knowledge of data visualization tools such as Tableau, Power BI, or Looker.
  • Communication: Excellent verbal and written communication skills with the ability to explain technical concepts to non-technical audiences.
  • Tools: Familiarity with ETL processes, cloud data warehouses (e.g., AWS Redshift, Google BigQuery), and version control systems.

Required Skills

SQL Python Tableau Power BI Data Visualization Statistical Analysis Data Mining Excel Business Intelligence ETL Redshift BigQuery

Ready to Take This Challenge?

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