Data Analyst

Key Responsibilities:

Design, Develop, and Maintain BI Dashboards & Templates:

• Design, develop, and optimize dashboards using Power BI, Looker Studio, Tableau, or similar tools.
• Create interactive reports that translate productivity data into operational insights for ActivTrak customers.
• Support data integration with third-party systems to enhance reporting capabilities.

Data Quality Control:

• Partner with engineers to validate data accuracy, integrity, and consistency.
• Implement data validation processes to maintain high-quality analytical outputs.

Perform Advanced Analytics:

• Conduct deep analysis of workforce and productivity trends using SQL and Python.
• Deliver data-driven recommendations that empower customers to optimize performance and decision-making.

Facilitate Internal Ad-hoc Data Requests:

• Support cross-functional teams (HR, Operations, Product) by querying key datasets from Google BigQuery.
• Ensure timely and accurate responses to ad-hoc data needs.

Enhance Productivity Metrics:

• Collaborate on the development and refinement of productivity measurement frameworks.
• Align metrics with evolving business goals and customer needs.

Skills & Experience:

Bachelor's degree in a quantitative field such as Data Analytics, Business Analytics, Statistics, Mathematics, Economics, Computer Science, or a related discipline.

Minimum 3 years of experience in:

• SQL (advanced queries and optimization)
• BI tools (Tableau, Power BI w/ DAX & PowerQuery, Looker Studio, or Qlik)
• Python API Integrations
• Data analysis, metrics development, and cross-functional reporting
• ETL and Data Warehousing
• AppScripts & PowerShell

Hands-on experience with Google BigQuery and Google Cloud Platform.

Strong storytelling and communication skills to influence stakeholders at all levels.

Self-starter with a growth mindset and attention to detail.

Excellent communication skills with both technical and non-technical audiences.

Ability to deal with ambiguity and collaborate with different teams towards mutual goals.

Motivated by an interest in developing the best possible solutions.

Preferred Experience in Workforce Analytics.

Work Environment:

Position is remote within the US.

Limited travel.

Limited physical demands.