About the company
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Manager, Business Analytics based in the United States.
Responsibilities
- Serve as the analytics lead for Commercial, Finance, Operations, and related business functions, providing technical expertise and strategic analytical guidance.
- Act as a thought partner to operational and commercial leaders, helping prioritize analytics investments, establish success metrics, and measure business outcomes.
- Partner cross-functionally to ensure analytical solutions align with strategic priorities and generate measurable business value.
- Design, develop, and maintain scalable analytics solutions using SQL, Python, Snowflake, Tableau, Power BI, and modern cloud-based data platforms.
- Conduct statistical analysis, forecasting, segmentation, hypothesis testing, predictive modeling, and exploratory data analysis to support business planning and operational decision-making.
- Collaborate with Data Engineering, IT, and Master Data Management teams to define data requirements, improve data quality, optimize data pipelines, and strengthen enterprise data architecture.
- Develop and maintain semantic data models, reusable datasets, KPI frameworks, and standardized metrics aligned with analytics governance standards.
- Support enterprise data governance by validating source-system integrity, documenting metric definitions, monitoring data quality, and promoting consistency across reporting and analytics.
- Apply AI, machine learning, and advanced analytics techniques where appropriate to improve forecasting, automate decision support, and uncover new business opportunities.
- Translate complex analytical findings into clear narratives, insights, and recommendations that can influence leadership decisions and business strategy.
Requirements
- Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, Information Systems, Analytics, or another quantitative discipline.
- 6–8+ years of experience in advanced analytics, business intelligence, data science, revenue analytics, or a comparable technical analytical role.
- Expert-level SQL skills, including complex joins, window functions, common table expressions (CTEs), query optimization, and dimensional data modeling.
- Strong Python programming experience, including tools and libraries such as Pandas, NumPy, SciPy, StatsModels, Scikit-Learn, and data visualization frameworks.
- Strong understanding of data warehousing, ETL/ELT processes, data governance, and data quality management.
- Experience with cloud data platforms such as Snowflake, Redshift, Databricks, BigQuery, Azure Synapse, or similar technologies.
- Hands-on experience with Tableau, Power BI, or comparable business intelligence platforms, including dashboard development and performance optimization.
- Demonstrated ability to work with large and complex datasets and translate analysis into compelling business narratives, actionable insights, and recommendations.
- Ability to independently navigate ambiguous problems, prioritize analytical opportunities, and deliver high-impact solutions in a fast-paced environment.
- Experience in diagnostics, laboratory services, healthcare technology, life sciences, payer analytics, or related industries is preferred.
- Exposure to AI-enabled analytics, generative AI applications, workflow automation, or emerging analytics technologies is valued.
- Experience partnering with executive stakeholders and influencing strategic decisions through data-driven insights is preferred.
- Strong business acumen, communication, collaboration, problem-solving, and stakeholder-management skills.
Conditions
- Base salary range of $130,000–$145,000 USD, with final compensation determined by factors such as experience, skills, geographic location, industry background, and education.
- Eligibility for additional discretionary bonuses or incentives.
- Potential eligibility for restricted stock units as part of the total compensation package.
- Competitive employee benefits designed to support professional and personal well-being.
- Remote work opportunity within the United States.
- Purpose-driven environment focused on advancing healthcare and improving patient outcomes.
- Opportunities for career development and growth within a collaborative, innovative organization.