Business Data Analyst

Job Title: Business Data Analyst Level 2 Workforce & Operations Reporting
Location: San Diego, CA (Hybrid: Minimum 3 days on-site; Tuesday, Thursday + 1 flex day)
Position Type: 12-Month Contract (Possibility to extend up to 18 months)

We are seeking a hands-on Business Data Analyst. In this role, you will work on the back-end supporting capacity planners across different lines of business. Approximately 80% of your time will be dedicated to creating, automating, and maintaining repeatable operational reports and managing ad-hoc data requests to enable capacity planners to focus on strategic workforce management.

Key Responsibilities

• Data Extraction & Querying: Write efficient SQL queries within a Databricks environment to pull and process large operational datasets.
• Report Automation & Visualization: Build, maintain, and update operational reports and dashboards using Qlik Sense or Tableau.
• Planner Support: Support multiple capacity planners across various lines of business with data reporting, ad-hoc queries, and quantitative analysis.
• Metrics Analysis: Work with contact center metrics, volume trends, and handle times to support 18-month down to day-of planning.
• Cross-Functional Collaboration: Partner closely with internal workforce management teams and planners on-site in San Diego.

Required Qualifications

• Experience: 4+ years of experience in quantitative analysis and data reporting.
• Core Technical Stack:
  • Strong expertise in SQL (e.g., querying in Databricks, PostgreSQL, or MySQL).
  • Hands-on experience with Databricks for data retrieval.
  • Proven visualization experience using Qlik Sense (preferred) or Tableau.
• Education: Bachelor's or Master's degree in a quantitative field (Computer Science, Statistics, Applied Mathematics, Econometrics, Operations Research).
• Communication: Strong ability to communicate data insights and technical details clearly to both technical and non-technical team members.

Preferred / Bonus Qualifications

• Prior experience analyzing data within a Contact Center or Workforce Management (WFM) environment.
• Knowledge of big data technologies (e.g., Hadoop, Hive, HBase, Vertica) or high-level scripting languages (Python, R) is a bonus, though not required.

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