Data Analyst
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 2d ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 7d ago
The date the source published, not the day we noticed it (2026-09-25). Last seen at its source 2h ago.
We have tracked this listing since 25 Sep 2026 (6 days). The employer's own board has carried it every time we have read it, most recently 2 hours ago.
Is it remote?
Marked remote on the employer's board
Their board carries a remote setting on this posting — a field they filled in, not wording we read. The location field names somewhere specific, which is usually where the team or the entity sits.
Who may apply?
United States
The description agrees: it names United States.
What the ad says
…remote within the US Limited travel Limited physical demands…
Pay not stated
Similar roles pay $105k–182.2k/yr
Middle 50% of 1115 listings that do state pay — Operations · all levels · United States · USD/year. This employer has published no salary; this is what comparable listings we hold disclose, never converted between currencies or periods. How this is calculated.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
-
workable employer's own board first seen 6d ago · last seen 2h ago
The listing
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