Manager, business analytics

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.

This role is a highly technical individual contributor position focused on turning complex data into actionable business insights and measurable outcomes. You will serve as a strategic analytics partner to Commercial, Finance, Operations, and other business functions, influencing decisions through advanced analytics and data-driven recommendations. The position sits at the intersection of business intelligence, data science, data engineering, and operational strategy. You will design scalable analytical solutions using modern cloud data platforms, statistical methods, programming, and visualization technologies. The role also offers the opportunity to strengthen enterprise data quality, governance, reporting standards, and analytical capabilities. You will work closely with technical and business stakeholders in a fast-paced, purpose-driven environment where analytics directly supports operational performance and revenue growth. This is a remote opportunity within the United States.

Accountabilities:

• 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.

Benefits

• 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.

How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best!

Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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