Senior Advanced Analytics & Insights Manager at Definitive Healthcare US

Framingham, Massachusetts, United States -

Full Time

Start Date

Immediate

Expiry Date

11 Oct, 26

Salary

199800.0

Posted On

13 Jul, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

SQL, Python, Data Science, Healthcare Analytics, Life Sciences Analytics, Statistical Modeling, Data Wrangling, Segmentation, Forecasting, Real-World Data Analysis, Data Engineering, Cloud Data Platforms, PowerPoint, Excel, Stakeholder Management, Mentoring

Industry

Information Services

Description

About Definitive Healthcare: At Definitive Healthcare (NASDAQ: DH), we’re passionate about turning data, analytics, and expertise into meaningful intelligence that helps our customers achieve success and shape the future of healthcare. We empower them to uncover the right markets, opportunities, and people—paving the way for smarter decisions and greater impact. Headquartered just outside of Boston, Massachusetts, Definitive Healthcare operates across North America, Europe, and India, supporting a growing global client base of more than 2,400 customers since our founding in 2011. We’re also a great place to work. In 2024 and 2025, we earned multiple workplace honors, including Built In’s 100 Best Places to Work in Boston (both years), a Stevie Bronze Award for Great Employers, and recognition as a Great Place to Work in India. We foster a collaborative, inclusive culture where diverse perspectives drive innovation. Through programs like DefinitiveCares and our employee-led affinity groups we strive to promote connection, education, and inclusion. About the Role We are looking for a Senior Advanced Analytics & Insights Manager with 5+ years of experience to support high-impact analytics work across healthcare and life sciences. This is a hands-on role for someone who can work directly with complex healthcare datasets, apply data science methods, write strong SQL and Python, and translate analytical outputs into clear business recommendations. The ideal candidate will combine technical execution with consulting-style problem solving. They should be comfortable owning analytical workstreams, guiding junior team members, partnering with business stakeholders, and delivering client-ready insights across use cases such as patient journeys, market assessment, targeting, segmentation, forecasting, real-world data analysis, and commercial strategy. What You’ll Do Lead analytics workstreams from business question definition through data analysis, modeling, interpretation, and final delivery. Work hands-on with large healthcare and life sciences datasets, including claims, provider, patient, market, commercial, or other real-world data. Write efficient SQL to extract, join, transform, validate, and analyze large datasets. Use Python for data wrangling, automation, statistical analysis, modeling, and repeatable analytical workflows. Apply appropriate data science techniques such as segmentation, forecasting, classification, regression, clustering, propensity modeling, or other statistical methods. Translate ambiguous client or business asks into structured analytical approaches, assumptions, outputs, and timelines. Build clear, client-ready deliverables in PowerPoint, Excel, dashboards, or other reporting formats. Perform QA on data, code, methodology, and outputs to ensure accuracy and defensibility. Support basic data engineering tasks such as dataset creation, data cleaning, feature generation, pipeline logic, and workflow automation. Work with cloud-based data platforms, notebooks, compute servers, and shared analytics environments. Mentor analysts and junior data scientists on SQL, Python, analytical methods, documentation, and quality control. Partner with cross-functional teams across analytics, product, engineering, consulting, and client-facing functions. What You'll Bring 5+ years of experience in data science, advanced analytics, healthcare analytics, life sciences analytics, analytics consulting, or a related quantitative role. Bachelor’s degree in Data Science, Statistics, Computer Science, Engineering, Mathematics, Economics, Public Health, or a related quantitative field. Strong hands-on SQL experience, including complex joins, CTEs, aggregations, window functions, data validation, and performance-aware querying. Strong hands-on Python experience using libraries such as pandas, NumPy, scikit-learn, statsmodels, or similar tools. Experience working with large, complex datasets and turning them into actionable insights. Practical understanding of data science methods and when to apply them to business problems. Basic understanding of data engineering concepts such as ETL/ELT, data pipelines, data models, data quality checks, and reusable workflows. Experience working in cloud-based or server-based analytics environments such as Databricks, Snowflake, AWS, Azure, GCP, or similar platforms. Strong communication skills with the ability to explain technical work to nontechnical stakeholders. Ability to manage multiple priorities, work independently, and maintain strong attention to detail. Preferred Qualifications Experience in healthcare, life sciences, pharma, medtech, payer/provider analytics, commercial analytics, or real-world evidence. Experience with healthcare claims, EHR/EMR, provider, patient, HCP/HCO, prescribing, sales, market access, or similar datasets. Experience with scripting, Git/version control, notebooks, scheduled jobs, or workflow automation. Experience with Power BI, Tableau, Looker, Sigma, or similar BI tools. Exposure to cloud data platforms, scalable compute environments, or production-oriented analytics workflows. Compensation and Benefits The salary range for this position is $107,100 - $199,800 per year, which represents the base pay the company reasonably and in good faith expects to pay for this role. Actual pay within this range will be determined based on factors such as relevant experience, skills, and qualifications. Depending on the position, employees may also be eligible to participate in a company bonus or commission plan. All employees are eligible for a comprehensive benefits package, including medical, dental, and vision coverage, unlimited paid time off, and participation in the company’s 401(k) plan with employer contribution. Why we love Definitive, and why you will too! Industry leading products Work hard, and have fun doing it Incredibly fast growth means limitless opportunity Flexible and dynamic culture Work alongside some of the most talented and dedicated teammates Definitive Cares, our community service group, gives all of us a chance to give back Competitive benefits package including great healthcare benefits and a 401(k) match What our Employees are saying about us on Glassdoor: “Great Work atmosphere, great work life balance, excellent company to work for, amazing top notch product, incredible customer service, lots of tools to help you succeed.” -Business Development Manager “Great team. Amazing growth. Employees are treated very well.” -Research Analyst “I have waited 36 years to work at a dream job for a dream company and I am so happy to have finally got there.” -Profile Analyst If you don’t fit all of these qualifications, but believe you’re still a great fit, feel free to apply and tell us why in your cover letter. If you are a California, Colorado, New York City or Washington resident and this role is a remote role, you can receive additional information about the compensation and benefits for this role, which we will provide upon request. Definitive Hiring Philosophy Definitive Healthcare is an equal opportunity employer that celebrates diversity and is committed to creating an inclusive workplace with equal opportunity for all applicants and teammates. Our goal is to recruit the most talented people from a diverse candidate pool regardless of race, color, religion, age, gender, gender identity, sexual orientation or any other status. If you’re interested in working in a fast growing, exciting working environment – we encourage you to apply! Privacy Your privacy is important to us. Please review our Candidate Privacy Notice which tells you how we use and process your personal information. Please note: All communications regarding the hiring process at Definitive Healthcare will come directly from one of our corporate recruiters or coordinators using an @definitivehc.com email address. We do not advertise open roles on Facebook and will never request money transfers or ask candidates to purchase equipment with a promise of reimbursement. If you receive any suspicious communication, please contact careers@definitivehc.com to verify your status in the application process.

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Responsibilities

Lead advanced analytics workstreams by applying data science methods to complex healthcare and life sciences datasets. Translate analytical outputs into clear business recommendations and client-ready deliverables while mentoring junior team members.