Senior Analytics Consultant
CPAL · Dallas, TX · Full-time
About CPAL
CPAL, the Child Poverty Action Lab, is a Dallas-based nonprofit research and development lab that uses data to rethink public systems, in service of cutting childhood poverty in Dallas by 50 percent within a generation. The organization works across five focus areas: Benefits Delivery, Maternal Health, Housing, Criminal Justice, and Public Safety.
What You'll Do
- Take an ambiguous ask and turn it into an answerable question by finding the decision behind the request.
- Interrogate unreviewed datasets before building on them, since most of the real risk in this job lives in data nobody has checked yet.
- Go beyond the literal ask, flagging what the requester needs to know and what the data can't support.
- Turn analysis into a short, decision-ready brief a program lead can use in front of a reporter, funder, or city partner.
- Use AI across research, coding, and QA while owning the final judgment, framing, and synthesis yourself.
- Document assumptions and sources so the next related question is cheaper to answer.
What You Bring
- 5+ years of applied analytical work, typically at a strategy, boutique data-science, or analytical consulting firm, or an equivalent unusual-early-responsibility trajectory (high-growth startup, agency, or civic org).
- A track record of answering questions, not just producing outputs, work that reads like "assessed whether X changed Y."
- Professional fluency in Python and working SQL; able to read and adapt existing R.
- Consultant-style pragmatism: picking the method that fits the question, the evidence, the timeline, and the stakes, and defending that choice.
- Daily working fluency with AI-assisted analytical tools, backed by concrete examples of overriding or correcting AI output.
- Not a fit for candidates whose experience centers on data pipelines, ETL/ELT, or BI dashboards without a track record of using that infrastructure to answer a specific analytical question.
- Strong plus: geospatial analysis and data visualization experience; a named method (a regression, a reliability coefficient, an effect size) tied to an actual finding.
Compensation and Benefits
- Competitive salary, dependent on experience.
- Health, dental, and vision insurance; retirement savings plan with employer match.
- Generous paid time off and holidays; professional development and learning support.
- CPAL is open to sponsoring candidates for this role.
Location: Dallas, TX. Dallas is preferred, with flexibility for the right candidate; remote-first candidates are considered, with occasional on-site time in Dallas.
How hiring works here
To apply for this role, you must create an account on provn.co and submit all required application artifacts. Resume only applications may be considered, but candidates who complete a full application are reviewed with priority.
Referrals are king for getting an interview. But what if you don't have a referral? Applying with Provn is designed to help you get more interviews. Instead of sending a cold resume into an ATS and waiting, you will complete a challenge built by CPAL and submit a short video walking through your approach. No time limit. No timers. No restrictions on AI usage. Show how you build with AI.
Why that works in your favor:
- You show how you actually build and ship with coding agents, instead of hoping a resume communicates your skill clearly.
- Your judgment with AI becomes visible, which no "proficient with AI coding agents" resume bullet can prove.
- One challenge puts you in front of the Strategic Analytics team, scored on the work. Priority without a referral!
The hiring manager reviews every completed submission, and strongest candidates go straight to an interview round. No referral needed. Performance over pedigree. Proof over polish.
For this role, the challenge is a significant part of your candidacy. If you have been looking for a foot in the door, a chance to show what you can do, if you have ever felt like all you needed was ten minutes with the hiring manager to prove yourself, this is that opportunity.
Applications close September 14, 2026.
Pay: $100,000.00 - $140,000.00 per year
Benefits:
- Dental insurance
- Health insurance
- Paid time off
- Vision insurance
Work Location: In person
