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Manager Causal Inference Jobs in Chicago, IL (NOW HIRING)

Expertise in observational causal inference, econometric, and statistical models * Demonstrated ... Proficiency in building and managing data pipelines for purposes of model development or analysis ...

Expertise in observational causal inference, econometric, and statistical models * Demonstrated ... Proficiency in building and managing data pipelines for purposes of model development or analysis ...

Senior Analyst, Marketing Science

Chicago, IL

$105.60K - $130.30K/yr

Responsible for managing advanced analytical marketing projects and collaborating with internal ... Proven experience designing, executing, and measuring causal inference studies, including geo-based ...

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Manager Causal Inference information

See Chicago, IL salary details

$29.9K

$107.7K

$121.6K

How much do manager causal inference jobs pay per year?

As of May 31, 2026, the average yearly pay for manager causal inference in Chicago, IL is $107,728.00, according to ZipRecruiter salary data. Most workers in this role earn between $117,400.00 and $120,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Manager of Causal Inference, and why are they important?

To thrive as a Manager of Causal Inference, you need a deep understanding of statistics, econometrics, and experimental design, typically supported by an advanced degree in a quantitative field. Proficiency with data analysis tools such as R, Python, SQL, and specialized causal inference libraries, along with experience using data visualization and project management platforms, is crucial. Strong leadership, communication, and critical thinking skills help you effectively guide teams and translate complex findings to stakeholders. These skills ensure rigorous, actionable insights that drive strategic decision-making and organizational impact.

How does a Manager of Causal Inference typically collaborate with cross-functional teams to drive impactful business insights?

Managers of Causal Inference frequently work alongside data scientists, product managers, engineers, and business leaders to design and execute experiments that reveal the true impact of business decisions. They translate complex statistical findings into actionable recommendations, ensuring stakeholders understand both the methodology and implications. Regularly, they lead discussions on experiment design, data collection strategies, and result interpretation, fostering a culture of evidence-based decision-making across the organization.

What does a Manager Causal Inference do?

A Manager Causal Inference leads teams that analyze data to determine cause-and-effect relationships, often in business, healthcare, or technology settings. They design experiments or use statistical methods to understand how different factors influence outcomes, helping organizations make data-driven decisions. This role typically involves managing projects, overseeing analysts or data scientists, and communicating findings to stakeholders. Strong expertise in statistics, data analysis, and leadership is essential for success in this position.
What are the most commonly searched types of Causal Inference jobs in Chicago, IL? The most popular types of Causal Inference jobs in Chicago, IL are:
What are popular job titles related to Manager Causal Inference jobs in Chicago, IL? For Manager Causal Inference jobs in Chicago, IL, the most frequently searched job titles are:
What job categories do people searching Manager Causal Inference jobs in Chicago, IL look for? The top searched job categories for Manager Causal Inference jobs in Chicago, IL are:
What cities near Chicago, IL are hiring for Manager Causal Inference jobs? Cities near Chicago, IL with the most Manager Causal Inference job openings:

Manager, Product and Marketing Analytics

Franki, Inc.

Chicago, IL • On-site

$130K - $150K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 20 days ago


Job description

About the Role
Franki is looking for a Manager, Product & Marketing Analytics to build and scale the measurement engine behind our growth. You'll own analytics across product, marketing, and rewards-shaping how we measure performance, run experiments, and optimize incentives like cashback and Adventures/Gigs. In this role, you'll define our company-wide measurement strategy, lead causal inference and experimentation, and develop predictive models (LTV, churn, MMM, propensity) that guide roadmap, channel mix, and budget decisions.
This is a hands-on, high-influence role blending deep analytical work in SQL/Python with strategic leadership. Your insights will drive repeat behavior, shape reward economics, and ensure we grow efficiently while keeping costs and liabilities within guardrails.
Note: Candidates residing in our preferred locations; CA will be given first consideration.
What you'll do:
  • Lead the end-to-end analytics program across product, marketing, and rewards, setting the measurement strategy and operating model for the company.
  • Build and maintain source-of-truth dashboards, core metrics, and instrumentation standards in partnership with Data Engineering.
  • Run robust experimentation at scale-A/B tests, geo/holdouts, matched markets-and drive causal measurement using CUPED, uplift modeling, and other advanced methods.
  • Own funnel, cohort, retention, and rewards analytics (cashback, Adventures/Gigs, action incentives); identify leaks, quantify opportunities, and propose optimized reward structures.
  • Stand up omnichannel marketing measurement across lifecycle, partners/affiliates, paid social/search, and influencers; lead incrementality and attribution frameworks.
  • Develop LTV, payback, forecasting, and rewards economics models to guide roadmap, budget allocation, portfolio mix, and CAC/LTV guardrails.
  • Publish weekly and monthly executive readouts with decision-ready insights; influence prioritization, staffing, and budget decisions.
  • Ensure data quality and integrity through tracking requirements, validation, anomaly detection, and fraud/abuse monitoring (velocity, collusion, partner attribution, CPA integrity).
  • Build self-serve semantic layers and Looker dashboards that enable teams to independently answer key questions.

You're a good fit if you have...
  • BS/BA in a quantitative field (Statistics, Economics, Computer Science, Engineering, Data Science) or equivalent; MS a plus.
  • 3+ years in product, growth, or marketing analytics, incentives/loyalty analytics, or data science, with 1+ years in a lead or ownership role.
  • Advanced SQL and Python (pandas, statsmodels, causal inference); experience building scalable dashboards and pipelines in BigQuery and Looker.
  • Expertise in experimentation design: A/B tests, CUPED, geo/holdouts, power analysis, uplift modeling; familiarity with experimentation platforms like Eppo, Statsig, or LaunchDarkly.
  • Strong analytics and modeling skills: LTV, propensity, churn/survival, MMM, budget/payout optimization, and causal inference methods.
  • Product and marketing analytics experience: funnels, retention, cohorting, lifecycle measurement, attribution, channel mix/ROAS, and audience targeting.
  • Strong product sense with the ability to translate complex data insights into clear, actionable recommendations that drive product and growth decisions.

Bonus points if you have...
  • Comfortable operating at both altitude (strategy, exec forums) and depth (hands-on SQL/Python).
  • Excellent written storytelling; exec-ready visuals and clear recommendations.
  • Ability to manage multiple high-stakes initiatives simultaneously; thrive in a fast-paced startup.
  • Collaborate effectively across time zones.

Why Join Franki...
  • Own a high-impact function within a growing startup
  • Help shape how the brand connects with users, creators, and restaurant partners
  • Move fast, test ideas, and lead with creativity
  • Join a collaborative, ambitious team that values autonomy and original thinking
  • Competitive compensation and 100% covered healthcare, dental, and vision benefits for employees

Perks & Benefits
Remote work: Our team works remotely across the US but primarily PST time zone; we travel together several times a year for company kick-offs and mid-year meetings.
PTO: 15 days per year, plus additional PTO between Christmas and the end of the year (25th Dec - 31st Dec). Additionally, we recognize 11 public holidays per year.
Medical, Dental & Vision: We cover 100% of Medical, Vision, and Dental insurance costs for employees.
401(k)
Equipment: Computer & technology equipment applicable to your role.
Monthly Stipend: $20 (Tax-free) to cover home office expenses
Hi, We're Franki
Going out should feel good - not expensive. Franki is the app that helps people discover great restaurants, get cash back just for going, and earn even more for sharing. We're building a smarter way to eat, drink, and explore your city - one that helps local restaurants thrive and makes the experience more rewarding for everyone.
We're a fast-moving, high-ownership team that values creativity and execution. The category is dynamic and fun, and we're building a brand that reflects that energy. If you're the kind of person who has big ideas and makes them happen, we'd love to hear from you.
The pay range for this role is:
130,000 - 150,000 USD per year (Los Angeles, CA)

About franki

Sourced by ZipRecruiter

Industry

Technology, communication and media

Company size

11 - 50 Employees

Headquarters location

Long Beach, CA, US

Year founded

2018