Job Description
We are seeking a detail-oriented and analytical Part-Time Data Analyst to join our dynamic team in San Jose, California. In this role, you will play a crucial role in interpreting complex datasets and translating them into actionable business intelligence that drives our strategic initiatives. You will collaborate with cross-functional teams to identify trends, optimize processes, and support high-level decision-making.
Our ideal candidate is passionate about data, possesses a keen eye for detail, and thrives in a fast-paced, innovative environment. If you are looking for a flexible opportunity to leverage your skills in a premier tech hub, we want to hear from you.
Responsibilities
- Analyze Complex Data Sets: Extract, clean, and analyze large volumes of data to identify trends, patterns, and actionable insights for business growth.
- Dashboard Creation: Design, develop, and maintain interactive dashboards using tools like Tableau or Power BI to visualize key performance indicators (KPIs).
- Stakeholder Collaboration: Work closely with product managers, marketing teams, and executives to understand data requirements and deliver reports that meet business needs.
- Data Integrity: Ensure data accuracy and consistency by performing rigorous data validation and quality checks.
- Report Generation: Create comprehensive monthly and quarterly reports that summarize findings and present recommendations to senior leadership.
- Process Improvement: Identify opportunities for automation and process optimization within existing data workflows.
Qualifications
- Education: Bachelor’s degree in Computer Science, Information Systems, Statistics, Finance, or a related field is required.
- Technical Skills: Proficiency in SQL for data querying and experience with Python or R for data manipulation.
- Visualization Tools: Strong working knowledge of data visualization tools such as Tableau, Power BI, or Looker.
- Experience: Minimum of 2-3 years of experience in data analysis, business intelligence, or a related analytical role.
- Communication: Excellent verbal and written communication skills with the ability to explain complex data concepts to non-technical stakeholders.
- Attention to Detail: A strong commitment to data accuracy and detail-oriented work style.