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Information Technology 🏢 Full Time ⭐️ Verified

Senior Data Analyst (DA)

Apex Data Solutions
San Francisco
Estimated Salary
USD 110.000 – USD 160.000
Live Update
9 Juli 2026
Deadline
9 Jul 2027

Job Description

Are you a strategic thinker with a passion for uncovering actionable insights? Apex Data Solutions is seeking a highly skilled Senior Data Analyst (DA) to join our dynamic team in San Francisco. In this pivotal role, you will bridge the gap between complex data sets and business strategy, empowering our stakeholders to make data-driven decisions that accelerate growth.

As a key member of our analytics team, you will design, implement, and maintain robust data pipelines and reporting frameworks. We pride ourselves on a culture of innovation and precision, offering you the opportunity to work with cutting-edge tools and collaborate with cross-functional teams across the globe.

Why Join Us?

  • Competitive compensation package ($110k - $160k).
  • Comprehensive health, dental, and vision insurance.
  • Flexible remote work options and generous PTO.
  • Professional development and certification reimbursement.

Key Responsibilities:

  • Analyze complex datasets to identify trends, correlations, and opportunities for business improvement.
  • Design and develop interactive dashboards and visualizations using tools like Tableau or Power BI to monitor KPIs.
  • Collaborate with product managers and engineering teams to define data requirements and ensure data quality.
  • Build and optimize SQL queries and ETL processes to support real-time reporting needs.
  • Conduct A/B testing and statistical analysis to validate product changes and marketing strategies.
  • Communicate complex analytical findings to non-technical stakeholders in a clear, actionable format.

Qualifications:

  • Bachelor’s degree in Computer Science, Statistics, Mathematics, or a related field (Master’s degree preferred).
  • 3+ years of professional experience as a Data Analyst or Data Scientist.
  • Strong proficiency in SQL (PostgreSQL, MySQL, or Snowflake) and Python (Pandas, NumPy).
  • Expertise in data visualization tools such as Tableau, Power BI, or Looker.
  • Experience with big data technologies and cloud platforms (AWS, Azure, or GCP) is a plus.
  • Exceptional problem-solving skills and the ability to work in a fast-paced, agile environment.
  • Strong verbal and written communication skills.

Responsibilities

  • Analyze complex datasets to identify trends, correlations, and opportunities for business improvement.
  • Design and develop interactive dashboards and visualizations using tools like Tableau or Power BI to monitor KPIs.
  • Collaborate with product managers and engineering teams to define data requirements and ensure data quality.
  • Build and optimize SQL queries and ETL processes to support real-time reporting needs.
  • Conduct A/B testing and statistical analysis to validate product changes and marketing strategies.
  • Communicate complex analytical findings to non-technical stakeholders in a clear, actionable format.

Qualifications

  • Bachelor’s degree in Computer Science, Statistics, Mathematics, or a related field (Master’s degree preferred).
  • 3+ years of professional experience as a Data Analyst or Data Scientist.
  • Strong proficiency in SQL (PostgreSQL, MySQL, or Snowflake) and Python (Pandas, NumPy).
  • Expertise in data visualization tools such as Tableau, Power BI, or Looker.
  • Experience with big data technologies and cloud platforms (AWS, Azure, or GCP) is a plus.
  • Exceptional problem-solving skills and the ability to work in a fast-paced, agile environment.
  • Strong verbal and written communication skills.

Required Skills

SQL Python Tableau Power BI Data Visualization Statistical Analysis ETL Data Warehousing A/B Testing AWS PostgreSQL Snowflake

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