Lead Data Analytics

Not accepting resumes from third parties

Perm Opportunity (client does not sponsor now or in the future)

Onsite in Nevada (open to candidates who can relocate)

We re looking for a Lead Data Analytics professional to turn data into real-time insights that shape customer experiences, improve app performance, and drive smarter business decisions. This role is ideal for someone who thrives in a fast-moving environment, thinks critically under pressure, spots patterns quickly, and knows how to turn complex data into clear, actionable recommendations.

What You ll Do

• Own and optimize key performance indicators (KPIs) from initial definition through ongoing measurement and improvement.
• Build, maintain, and evolve dashboards and analytics that provide actionable insights to Developers, Product teams, and Leadership.
• Analyze customer behavior, application performance, and experimentation results, including A/B tests, to identify what s working and what needs to change.
• Identify trends, anomalies, risks, and opportunities quickly and translate findings into meaningful actions.
• Turn complex datasets into clear, compelling stories that help stakeholders understand the why behind the numbers and make confident decisions.
• Partner closely with Design, Product, Engineering, and Management in a collaborative, rapid-iteration environment.
• Challenge assumptions and uncover new opportunities through data-driven problem solving.

Qualifying candidates will have:

• Strong analytical instincts with the ability to think independently, solve ambiguous problems, and make sound decisions.
• Comfort working with incomplete, evolving, or imperfect data in a fast-paced environment.
• Demonstrated ability to influence business and product decisions, rather than simply report results.
• Bachelor s degree in Statistics, Applied Mathematics, Data Science, or a related quantitative field.
• Strong proficiency in SQL, Tableau or Power BI, Excel, and Python or R.
• Hands-on experience with A/B testing, experimentation, and performance measurement.
• Excellent communication skills, with the ability to explain complex analytical findings to both technical and non-technical audiences.