Lead Analyst, People Analytics

About the role

The Crown Is Yours As a Lead Analyst on the People Analytics team, you’ll be a key player in shaping data-driven talent decisions across DraftKings. You’ll tackle complex analytical problems that impact how we attract, retain, and grow our people.

Responsibilities

• Act as a strategic partner to senior People leaders, translating complex data into clear, actionable insights that shape workforce decisions and drive confident, actionable recommendations.
• Lead exploratory and predictive analyses to anticipate talent trends, uncover emerging risks, and inform forward-looking strategies.
• Equip leaders to navigate tradeoffs, assess risks, and understand likely outcomes to drive confident, data-backed decisions.
• Design, evolve, and maintain decision-oriented dashboards that highlight key people metrics used across the business.
• Collaborate with People Tech and data teams to ensure accuracy, consistency, and usability of people data across systems like Workday, survey platforms, and planning tools.
• Shape AI-enabled insights that elevate the usability and impact of our analytics platforms.
• Own end-to-end analytics initiatives by embedding success metrics, developing hypotheses, and presenting outcomes that clearly demonstrate impact.
• Mentor other analysts and embed measurable success metrics into people programs to evaluate outcomes and foster a culture of analytical excellence.

Requirements

At least 6 years of experience in people analytics, data analytics, or a related field.

Bachelor’s Degree in a quantitative field such as Mathematics, Statistics, Computer Science, or Economics.

Advanced SQL and Excel skills; proficiency in Tableau or similar visualization tools.

Experience with Python or R is a plus.

Strong communication skills, with the ability to tailor insights to executive and non-technical stakeholders.

Demonstrated ability to influence decisions and shape strategy through data storytelling and insight framing.

Comfort working in ambiguity and guiding stakeholders through tradeoffs and risk evaluation.

Experience working cross-functionally in fast-paced, data-rich environments.

Qualifications

Master’s degree in a quantitative field such as Mathematics, Statistics, Computer Science, or Economics.

Experience with advanced statistical modeling and machine learning techniques.

Experience with data warehousing and ETL processes.

Experience with data visualization tools such as Power BI or Looker.

Skills

• Advanced SQL and Excel skills
• Proficiency in Tableau or similar visualization tools
• Experience with Python or R
• Strong communication skills
• Ability to influence decisions and shape strategy through data storytelling and insight framing
• Experience working cross-functionally in fast-paced, data-rich environments

Benefits

Our benefits package includes:

• Health insurance
• Retirement savings plan
• Flexible spending accounts
• Employee assistance program
• Parental leave
• Generous paid time off

Pay

The US base salary range for this full-time position is 125,600.00 USD - 157,000.00 USD, plus bonus, equity, and benefits as applicable.

Schedule

This is a full-time position.