📩 Interested candidates: Please share your updated 📞 Phone: +1 323-302-3474
Role : Data Business Analyst
Location: Pittsburg, CA (On-site/Hybrid — specify per company policy)
Employment Type: Part-Time
Type: Part-time (approx. 20 hours/week)
About the Role
We are seeking a detail-oriented Data Business Analyst to join our team on a part-time basis. In this role, you will bridge the gap between raw data and business decision-making, helping stakeholders understand trends, identify opportunities, and improve operational efficiency through data-driven insights.
Key Responsibilities
- Collect, clean, and analyze business data from multiple sources (CRM, ERP, spreadsheets, databases)
- Build and maintain dashboards and reports to track key business metrics and KPIs
- Partner with department leads to understand business needs and translate them into data requirements
- Identify trends, patterns, and anomalies in data to support strategic decision-making
- Prepare clear, concise summaries and presentations of findings for non-technical stakeholders
- Support ad hoc data requests and analysis for ongoing projects
- Recommend process improvements based on data insights
- Maintain data accuracy and integrity across reporting systems
- Document analysis methodology and data sources for repeatability
Required Qualifications
- Bachelor's degree in Business, Data Analytics, Statistics, Economics, Information Systems, or related field (or equivalent experience)
- 1–3 years of experience in a business analyst, data analyst, or similar role
- Proficiency in Excel/Google Sheets (pivot tables, formulas, VLOOKUP/XLOOKUP)
- Experience with SQL for querying and analyzing data
- Familiarity with data visualization tools (e.g., Tableau, Power BI, Looker, or Google Data Studio)
- Strong analytical and problem-solving skills
- Excellent written and verbal communication skills
- Ability to work independently and manage time effectively in a part-time schedule
Preferred Qualifications
- Experience with Python or R for data analysis
- Familiarity with CRM/ERP systems (Salesforce, NetSuite, SAP, etc.)
- Prior experience in [industry — e.g., retail, healthcare, logistics — customize as needed]
- Knowledge of statistical analysis methods