Job description
We’re looking for a detail-oriented and strategic Data Analyst to join our data-driven team. You’ll transform complex datasets into clear, actionable insights that drive performance improvements across the business. This role requires strong analytical capabilities, technical proficiency in data tools, and the ability to clearly communicate insights to both technical and non-technical audiences.
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.
Requirements
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.
Benefits
Work Environment:
Position is remote within the US
Limited travel
Limited physical demands
Originally posted on Himalayas
Who can apply
Eligible countries: United States. Accepted UTC offsets: UTC-10, UTC-9, UTC-8, UTC-7, UTC-6, UTC-5, UTC+14. Review the full description for employer-specific work authorization, residency and schedule requirements.