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Information Technology 🏢 Part Time ⭐️ Verified

Data Analyst (Part-Time)

Apex Analytics Solutions
San Francisco
Estimated Salary
USD 45.000 – USD 65.000
Live Update
20 Juli 2026
Deadline
20 Jul 2027

Job Description

Are you a detail-oriented professional looking for a flexible opportunity to make a tangible impact in the tech hub of the world? Apex Analytics Solutions is currently seeking a talented Part-Time Data Analyst to join our team in San Francisco. In this pivotal role, you will leverage your analytical prowess to transform raw data into actionable business intelligence, helping drive strategic decisions for our growing client portfolio.

We value work-life balance and are looking for a candidate who thrives in a collaborative environment while having the autonomy to manage their schedule effectively. If you have a passion for uncovering stories within data and possess the technical skills to back it up, we want to hear from you.

Responsibilities

  • Extract, clean, and transform large datasets from multiple sources to ensure high data integrity and accuracy.
  • Develop and maintain interactive dashboards and visualizations using Tableau or Power BI to monitor key performance indicators (KPIs).
  • Write complex SQL queries to retrieve specific data sets and support ad-hoc analytical requests from stakeholders.
  • Collaborate with marketing and product teams to identify trends, optimize campaign performance, and improve user engagement metrics.
  • Perform statistical analysis and data modeling to provide actionable insights and forecast future trends.
  • Document data processes and create technical documentation for internal teams.

Qualifications

  • Bachelor’s degree in Computer Science, Statistics, Mathematics, or a related quantitative field.
  • 2+ years of professional experience in data analysis, preferably within the technology or finance sector.
  • Proficiency in SQL and experience with at least one data visualization tool (Tableau, Looker, or Power BI).
  • Advanced skills in Microsoft Excel, including pivot tables, VLOOKUP, and macros.
  • Strong understanding of statistical concepts and data analysis methodologies.
  • Excellent written and verbal communication skills to present findings to non-technical audiences.

Required Skills

SQL Python Tableau Power BI Excel Data Visualization Statistical Analysis Business Intelligence Data Cleaning ETL

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