Senior Data Analyst

We are looking for a Senior Data Analyst to join our small but mighty data team. You will use data to tell stories uncover trends and drive decisions across Product Engineering Growth and Marketing. You’ll create dashboards run analyses and translate insights into clear recommendations that improve user engagement and health outcomes while helping to establish internal AI use cases and guidelines.

Applicants who live within 35 miles of either the Burlington NC or Durham NC location will follow a hybrid schedule. This schedule includes a minimum of three in-office days per week at an assigned location either Burlington or Durham supporting both collaboration and flexibility.

Duties and Responsibilities:

·Lead analytical initiatives across the product and marketing domains — from framing hypotheses to delivering insights that drive measurable business and health impact.

·Design and maintain core dashboards and KPIs that track engagement retention and conversion throughout the user journey.

·Perform deep-dive analyses to uncover behavioral trends identify growth levers and optimize key funnels (e.g. onboarding retention or paid conversions).

·Collaborate closely with data and analytics engineers to ensure robust scalable and well-modeled data sets for reporting and analysis.

·Develop and standardize reporting frameworks that enable leadership and stakeholders to make evidence-based decisions quickly.

·Champion data quality and governance by defining trusted metrics validating new data sources and documenting analytical logic.

·Partner with marketing teams to evaluate campaign performance test new acquisition channels and refine targeting strategies.

·Translate complex analytical findings into clear actionable insights for both technical and non-technical audiences.

·Leverage AI to create compelling stories from data

·Collaboratively establish internal AI guardrails for ethical use

Requirements:

·Advanced SQL skills and proficiency with a BI or visualization tool (e.g. Looker Tableau).

·Hands-on experience working with modern data stacks (e.g. Python Redshift BigQuery).

·Comfort working with large event-driven datasets and user-level behavioral data.

·Proven ability to design and interpret A/B tests and experimentation frameworks.

·Strong understanding of marketing analytics concepts — attribution LTV CAC and retention analysis.

·Excellent communication skills: ability to translate complex analyses into simple actionable recommendations

·Familiarity with Python or R for data analysis

·Experience with AI enhanced platforms (Copilot AutoML etc....)

Minimum Education and Experience Required:

·4–7 years of experience in data & analytics

·Bachelor’s Degree

Preferred Qualifications:

·4–7 years of experience in analytics preferably in a clinical digital health consumer tech or SaaS environment.

·Experience using AI to augment analysis storytelling and stakeholder engagement

Working Conditions:

·Ability to be fully remote (US) given availability between core hours of 10am ET and 4pm ET; preference is given to candidates within a reasonable distance from Ovia/Labcorp hubs including Ovia’s metro Boston location Long periods of sitting/standing behind computer <10% Travel

Application Window closes 1/9/2026

Pay Range: $90000 - 115000

All job offers will be based on a candidate’s skills and prior relevant experience applicable degrees/certifications as well as internal equity and market data.

Benefits: Employees regularly scheduled to work 20 or more hours per week are eligible for comprehensive benefits including: Medical Dental Vision Life STD/LTD 401(k) Paid Time Off (PTO) or Flexible Time Off (FTO) Tuition Reimbursement and Employee Stock Purchase Plan.  Casual PRN & Part Time employees regularly scheduled to work less than 20 hours are eligible to participate in the 401(k) Plan only.  For more detailed information please click here .

Labcorp is proud to be an Equal Opportunity Employer:

Labcorp strives for inclusion and belonging in the workforce and does not tolerate harassment or discrimination of any kind. We make employment decisions based on the needs of our business and the qualifications and merit of the individual. Qualified applicants will receive consideration for employment without regard to race religion color national origin sex (including pregnancy childbirth or related medical conditions) family or parental status marital civil union or domestic partnership status sexual orientation gender identity gender expression personal appearance age veteran status disability genetic information or any other legally protected characteristic. Additionally all qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law.

We encourage all to apply

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