Senior Product Data Analyst

San Francisco, California, United States

Checkr

Checkr platform uses AI to make background screening more efficient, speed up the hiring process, fill roles faster & drive more revenue. ✓ Start for free!

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About Checkr
Checkr builds people infrastructure for the future of work. We've designed a faster—and fairer—way to screen job seekers. Established in 2014, Checkr puts modern technology powered by machine learning in the hands of hiring teams, helping to hire great new people with an experience that’s fast, smooth, and safe. Checkr has over 100,000 customers including DoorDash, Coinbase, Lyft, Instacart, and Airtable. 

A career at Checkr means collaborating with brilliant minds, disrupting an industry, and opening channels of employment to often overlooked candidates. Checkr is recognized on Forbes Cloud 100 2024 List and is a Y Combinator 2024 Breakthrough Company.

About the team/role

As a Senior Product Analyst, you will work hand-in-hand with multiple business departments to develop complex models and effectively communicate their business impacts, ensuring Checkr maintains its leadership position in efficiency, quality, and other key metrics identified by you and pertinent stakeholders. 

This pivotal role falls under the Data Platform organization and you will report directly to the Head of Data Platform. Moreover, your strong partnership with Checkr's Product, Financial Planning & Strategy, Data Engineering, and cross-functional business teams will be the key to unlocking their potential through the strategic use of data and be the last mile for translation to impact on business. 

What you’ll do: 

  • Partner with business stakeholders to gain deep understanding of our products and customers
  • Develop models to inform decision making, optimize conversion, and drive growth within the company; This will include short term customer behavior prediction models and long term econometric models. 
  • Effectively communicate insights and recommendations from your models to a non-technical audience across all organizational levels
  • Collaborate closely with product owners and marketing teams to analyze the value of new features, enhancements, and projects as well as provide insights and hypothesis that will lead to experiment design in efforts of growth, retention, and expansion
  • Based on exploratory analysis, create customer profiles, develop metrics such as LTV and Churn based on these profiles
  • Analyze and recommend improvements to website performance by examining customer experience, conversion effectiveness, abandonment points, customer demographics, and website usability trends. 
  • Experimentation Evangelist - educate and promote a data driven culture through experimentation

What you bring: 

  • 4+ years of experience in a highly analytical role, with at least 3+ years in a product analytics/data science role, preferably in a Product Led Growth organization with a focus on growth OR Masters or PhD degree with 3+ years of demonstrated experience in a product led growth organization with a focus on growth optimization
  • Experience in synthesizing business problems and building models based on 
  • Advanced proficiency in SQL and A/B testing, as well as an understanding of data warehouse principles including data modeling; 
  • Experience in product-led growth A/B experiments involves understanding product metrics, formulating hypotheses, designing and implementing tests, analyzing results, and optimizing based on findings to drive key metrics like activation, retention, and revenue.
  • Proficiency in utilizing scalable packages/libraries for experimentation, power analysis, in-depth statistical analysis, causal inferencing and visualization in R or Python. 
  • Excellent analytical and problem-solving skills, with the ability to identify and prioritize growth opportunities based on data and experiment results
  • Strong written and verbal communication skills and the ability to distill complex analytical solutions into actionable insights and communicate business impact to non technical audiences
  • A demonstrated self-starter with excellent prioritization skills, able to drive projects to completion with minimal guidance.

What you’ll get

  • A fast-paced and collaborative environment
  • Learning and development allowance
  • Competitive compensation and opportunity for advancement
  • 100% medical, dental, and vision coverage
  • Up to $25K reimbursement for fertility, adoption, and parental planning services
  • Flexible PTO policy
  • Monthly wellness stipend, home office stipend

At Checkr, we believe a hybrid work environment strengthens collaboration, drives innovation, and encourages connection. Our hub locations are Denver, CO, San Francisco, CA, and Santiago, Chile. Individuals are expected to work from the office 2 to 3 days a week. In-office perks are provided, such as lunch four times a week, a commuter stipend, and an abundance of snacks and beverages. 

One of Checkr’s core values is Transparency. To live by that value, we’ve made the decision to disclose salary ranges in all of our job postings. We use geographic cost of labor as an input to develop ranges for our roles and as such, each location where we hire may have a different range. If this role is remote, we have listed the top to the bottom of the possible range, but we will specify the target range for an exact location when you are selected for a recruiting discussion. For more information on our compensation philosophy, see our website.

The base salary range for this role is $129,699 to $152,588 in San Francisco, CA.

Equal Employment Opportunities at Checkr

Checkr is committed to hiring talented and qualified individuals with diverse backgrounds for all of its tech, non-tech, and leadership roles. Checkr believes that the gathering and celebration of unique backgrounds, qualities, and cultures enriches the workplace.   

Checkr also welcomes the opportunity to consider qualified applicants with prior arrest or conviction records. Checkr’s commitment to diversity extends to hiring talented individuals in spite of a prior criminal history in accordance with local, state, and/or federal laws, including the San Francisco’s Fair Chance Ordinance.

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Tags: A/B testing Airtable CX Data warehouse Engineering Machine Learning PhD Python R SQL Statistics Testing

Perks/benefits: Career development Competitive pay Fertility benefits Flex vacation Gear Health care Home office stipend Snacks / Drinks Transparency Wellness

Region: North America
Country: United States

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