Data Scientist / Product Data Analyst - (3-5 years exp) $65/hr W2

Data Analytics Engineer / BI Engineer / Data Engineer

We are looking for a hands-on Data Analytics Engineer, BI Engineer, Data Engineer, or Analytics Developer to own and support critical workforce management reporting pipelines and dashboards. This role focuses on maintaining production data products, ensuring reporting reliability, and supporting forecasting and capacity planning operations.

What You'll Work On

Own production Qlik dashboards and underlying data pipelines

Maintain and optimize ETL/ELT workflows, data models, and reporting schemas

Troubleshoot pipeline failures, data quality issues, schema drift, and race conditions

Validate reporting accuracy and reconcile data discrepancies during system migrations

Support workforce planning, forecasting, capacity planning, and operational reporting

Create documentation, runbooks, lineage mapping, and knowledge transfer artifacts

Monitor production environments and handle issue triage, escalation, and defect management

Partner with Data Science, Analytics, and business stakeholders to improve reporting reliability

Required Tech Stack

• SQL
• Databricks or similar Lakehouse/Data Lake platforms
• Qlik Sense / QlikView
• ETL & Data Pipelines
• Data Modeling
• Data Warehousing
• Data Quality & Validation
• Production BI Reporting
• Dashboard Development
• Pipeline Debugging

Preferred Experience

• Contact Center Analytics
• Workforce Management (WFM)
• Forecasting & Capacity Planning
• Staffing Analytics
• Handle Rate Metrics
• Forecast vs Actual Reporting
• Pipeline Orchestration Tools (Superglue or similar)
• Data Migration & Ownership Transitions

Ideal Background

• 3+ years of experience in Data Engineering, Analytics Engineering, BI Development, or Production Reporting
• Strong SQL and troubleshooting skills
• Experience supporting business-critical dashboards and data pipelines
• Comfortable working in production environments with evolving requirements

Data Analytics Engineer, Analytics Engineer, Data Engineer, BI Engineer, Business Intelligence Engineer, BI Developer, Qlik Developer, Qlik Sense Developer, Reporting Engineer, Reporting Analyst, Data Analyst, Senior Data Analyst, Business Intelligence Analyst, Analytics Consultant, ETL Developer, Data Warehouse Developer, Production Data Engineer, Workforce Analytics Engineer, Workforce Management Analyst, Capacity Planning Analyst, Reporting Developer, Data Operations Engineer

Tech Stack: SQL, Advanced SQL, Databricks, Delta Lake, Data Lake, Lakehouse, Qlik, Qlik Sense, QlikView, ETL, ELT, Data Pipelines, Pipeline Development, Pipeline Debugging, Data Modeling, Data Warehousing, Dashboard Development, Business Intelligence, BI Reporting, Data Quality, Schema Management, Production Support, Data Validation, Data Governance, Data Lineage, Reporting Automation, Workforce Reporting, Superglue, Pipeline Orchestration

Important Work Areas: Workforce Management, WFM Analytics, Capacity Planning, Demand Forecasting, Supply Forecasting, Forecasting Analytics, Forecast vs Actual Analysis, Contact Center Analytics, Call Center Analytics, Handle Rate Analysis, Production Reporting, Dashboard Ownership, Data Product Ownership, Data Operations, Reporting Reliability, Production Support, Incident Management, Defect Management, Root Cause Analysis, Schema Drift Resolution, Race Condition Troubleshooting, Data Migration, Knowledge Transfer, Operational Analytics, Business Operations Analytics, Reporting Infrastructure, Workforce Planning