Job Description
Apex Data Solutions is a premier technology firm at the forefront of data innovation. We are seeking a highly analytical and detail-oriented Senior Data Analyst to join our part-time team in San Francisco. This role offers the unique flexibility of part-time work while allowing you to drive significant impact within a world-class organization.
As a Data Analyst at Apex, you will be responsible for translating complex datasets into actionable business intelligence. You will work closely with cross-functional teams to uncover trends, optimize processes, and inform strategic decision-making. If you are passionate about data and want to contribute to top-tier tech innovation without a full-time commitment, we want to hear from you.
Responsibilities
- Conduct In-Depth Data Analysis: Extract, clean, and analyze large datasets to identify patterns, trends, and correlations that drive business growth.
- Develop Interactive Dashboards: Create and maintain compelling visualizations using tools like Tableau or Power BI to present findings to stakeholders.
- SQL & Database Management: Write complex SQL queries to retrieve data and ensure data integrity across various systems.
- Statistical Modeling: Apply statistical techniques to predict future trends and support forecasting models.
- Report Generation: Generate comprehensive reports and executive summaries that highlight key performance indicators (KPIs).
- Collaboration: Partner with product managers and engineers to define data requirements and improve data collection processes.
Qualifications
- Education: Bachelor’s degree in Statistics, Mathematics, Computer Science, or a related field.
- Experience: 3+ years of professional experience in data analysis or a related role.
- Technical Skills: Proficiency in SQL, Python (Pandas, NumPy), and experience with data visualization tools (Tableau, Looker, or Power BI).
- Analytical Mindset: Strong ability to interpret complex data and translate it into clear, concise business insights.
- Communication: Excellent verbal and written communication skills for presenting data to non-technical audiences.
- Flexibility: Ability to work part-time hours while maintaining high productivity and meeting deadlines.