Description

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, Databricks Lakehouse)
Write and optimize SQL/PySpark queries within Databricks notebooks to support reporting and analysis needs
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
Hands-on experience with Databricks (notebooks, SQL warehouses, or Delta Lake) for querying and analyzing large datasets
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
Exposure to the Databricks Lakehouse Platform, including PySpark/Spark SQL, Unity Catalog, or building notebooks for data transformation and reporting
Understanding of ETL/ELT pipelines and data warehousing concepts
Familiarity with CRM/ERP systems (Salesforce, NetSuite, SAP, etc.)

Key Skills

Education

Any Graduate