Data Analyst, Workforce Insights
Listing checked November 7, 2026 · pay as published by Braintrust
Key details
- Pay
- $40–50/hr
- Location
- Remote
- Job type
- contract
- Posted
- November 7, 2026
Overview
Dayforce runs a Human Capital Management platform covering payroll, benefits, workforce and talent management, and this contract seat sits inside its WorkWell research series. WorkWell pairs millions of internal data points with input from outside experts to surface trends across pay, leave, retirement and scheduling. Your job is to turn that structured data into Power BI reports and visuals, prep the underlying sets with SQL or Python, and write the findings up for blogs and whitepapers. The work feeds employer guidance and public discussion of human capital topics, so clear writing matters as much as clean queries.
What You'll Do8
- Build reports and dashboards in Power BI that surface trends across pay, leave, retirement and scheduling data.
- Prepare and shape datasets by writing scripts in SQL or Python before analysis.
- Lead internal analysis for the WorkWell research series and interpret what the numbers show.
- Translate statistical findings into plain language for blogs, whitepapers and other publications.
- Apply statistical concepts to draw conclusions backed by evidence rather than assumption.
- Guard personal information throughout the analysis workflow and follow data privacy practices.
- Develop working command of Dayforce internal datasets and outside research to guide your analysis.
- Present insights to internal and external audiences with differing levels of technical background.
Requirements10
- Hands-on SQL skills for querying and preparing structured data.
- Python or a comparable scripting language for data prep work.
- Power BI experience, including DAX and Power Query.
- Solid grasp of statistical concepts and the ability to interpret statistics correctly.
- Data management experience across structured datasets.
- Working knowledge of data privacy and the protection of personal information.
- Familiarity with human resources processes and procedures.
- Knowledge of core human capital management topics.
- A learning mindset and comfort building expertise in new internal datasets.
- Strong written and verbal communication for audiences inside and outside the company.
Preferred Qualifications4
- Background in I-O Psychology
- Background in Economics
- Experience with Databricks using SQL, Python or R
- Knowledge of historical workforce trends in the U.S. and Canada
Who Should Apply
Analysts with strong SQL and Power BI skills who enjoy turning workforce data into published research. HR or HCM domain familiarity helps, and a background in I-O Psychology or Economics fits the WorkWell topic set. Writers who can explain statistics to non-technical readers will do well here.
Salary Insight
This contract role pays $40.00 to $50.00 per hour. That range lines up with mid-level analyst contract work in the U.S. market, where Power BI and SQL depth plus domain knowledge in HR or HCM tends to land candidates near the top of the band.
Pay and demand for Data Engineering roles
Market estimates from live NearSkill listings — separate from this job's published terms.
This role · as published
$40–50/hr
Taken from the listing itself.
Typical pay · estimated
$75/hour
Median of 276 similar roles that publish pay · 35 publish only a top rate; those count at the rate they gave
Most Data Engineering roles pay $54–$95 per hour. This role's pay sits below that range.
Rates shown per hour. Yearly and monthly pay converted; one-time fees and non-USD pay are not included.
- Live similar roles
- 387
- Listed in last 30 days
- 215
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- 85%
Hiring most right now: micro1 (119) · Turing (53) · Mercor (43)
Most requested skills · share of roles
- python24%
- sql10%
- excel10%
- business analysis8%
Figures from Data Engineering roles live on NearSkill when this page loaded. A role can close before you apply, so check the listing itself.
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