Manager, Data Analytics

About the Role

Key Responsibilities

• Design tailored analytical solutions using SQL, Power BI, Python, R, and GenAI to solve strategic and operational problems.
• Embed with the business by working shoulder-to-shoulder with Finance leaders and stakeholders to understand their workflows, terminology, and priorities.
• Translate business needs into data insights by framing questions clearly, building models or dashboards, and translating findings into recommendations.
• Drive data product strategy by acting as a key voice of the business in influencing how our central data products evolve to better serve frontline teams.
• Communicate clearly and often by presenting technical and non-technical findings to a range of audiences, driving clarity and alignment.
• Create and maintain self-serve dashboards and custom reports to enable data-driven decision-making.
• Work closely with product, finance, operations, and data engineering teams on cross-functional projects.
• Leverage automation and AI to streamline repetitive tasks and unlock scale.
• Participate in sprint cycles or agile ceremonies where applicable to represent analytics priorities.

Requirements

• Bachelor's degree in a quantitative or analytical field (e.g., Economics, Business, Statistics, Mathematics, etc.) or equivalent practical experience.
• 1-3 years of professional experience in data analytics, data storytelling, or operations support (internships included).
• Strong SQL skills and experience working in cloud environments (BigQuery preferred).
• Proficiency with Power BI or similar BI platforms.
• Working knowledge of Python or R for data analysis, modeling, or automation.
• Strong communication skills, with the ability to distill complex analyses into actionable insights.

Nice to Have

• Experience applying Generative AI tools to business problems.
• Familiarity with healthcare, retail, or operations analytics.
• Experience with product analytics or influencing roadmap decisions.
• Exposure to experimentation, testing frameworks, or causal inference.

Qualifications

• Bachelor's degree in Mathematics, Engineering, Economics, Computer Science, or related field.
• 2 years' experience conducting mathematical or statistical research, analysis, and modeling in intelligence, corporate security, or related area OR 4 years' experience in the same fields.

Benefits & Perks

• Competitive pay with performance-based bonus awards.
• Health benefits including medical, vision, and dental coverage.
• Financial benefits such as 401(k), stock purchase, and company-paid life insurance.
• Paid time off including PTO, sick leave, parental leave, family care leave, bereavement, jury duty, and voting.
• Other benefits including short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement.
• Live Better U education benefit program covering tuition, books, and fees for various programs.