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Job Description

As a Data Analyst, he/she will gather requirements, create and maintain data extraction processes, and analyze patterns or trends in complex datasets. You will interpret results to provide stakeholders with clear, data-driven insights that address current business questions, support investments, product development lifecycles, and other critical business needs. Working in a fast-paced and evolving environment, you will collaborate with cross[1]functional teams, prioritize multiple projects, and help ensure that analytical best practices are consistently applied. You will work alongside a multidisciplinary team of business, technical, and clinical professionals to deliver quality data insights supporting either the Digital, Translational or Clinical Trials business unit.

Additional responsibilities:

Gather Requirements: Work with stakeholders to clarify project objectives, discover data sources, and

document needs.

Data Querying & Profiling: Write moderate-to-advanced SQL queries to extract relevant information from

diverse databases.

Data Cleaning & Validation: Identify and remediate data quality issues, ensuring the accuracy and integrity of

results.

Pattern Identification: Use statistical or basic scripting methods (e.g., Python) to detect trends or anomalies in

datasets.

Reporting & Visualization: Produce dashboards, slide decks, or other visual reports summarizing analytical

findings for stakeholder presentations.

Translate Business Questions: Communicate effectively with non-technical and technical audiences to clarify needs and align on key analytical goals.

Present Insights: Summarize and present results through clear, concise visuals and written narratives,

ensuring stakeholders can readily understand the business impacts.

Collaborative Engagement: Work in partnership with Product Managers, Clinicians, and other Data Analysts to

refine data solutions that fulfill project objectives.

Independent Project Management: Plan and monitor tasks and timelines for your projects using tools such as

Jira, escalating risks and constraints to leadership as needed.

Cross-Functional Collaboration: Contribute to team meetings, agile ceremonies, and milestone reviews,

offering input on improving data workflows or identifying new data sources.

We are a company committed to creating inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity employer that believes everyone matters. Qualified candidates will receive consideration for employment opportunities without regard to race, religion, sex, age, marital status, national origin, sexual orientation, citizenship status, disability, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to [email protected] . The EEOC "Know Your Rights" Poster is available here (https://www.eeoc.gov/sites/default/files/2023-06/22-088\_EEOC\_KnowYourRights6.12ScreenRdr.pdf) .

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Skills and Requirements

Must Haves:

- Bachelors Degree (e.g., in Mathematics, Statistics, Economics, Finance, Computer Science or related)

- At least 3 years of experience in data extraction, interpretation and reporting with:

o SQL: Ability to write efficient queries to extract and manipulate data from large, complex datasets.

o Python (or similar scripting language): Ability to perform data exploration, cleaning, and automation

o Data Visualization tools: (e.g., Tableau, Power BI) Experience with Agile principles and development methodology

Prior experience in querying databases and working with healthcare datasets (clinical or payer)

Familiarity with broader data science practices (e.g., machine learning concepts)

Exposure to cloud-based environments or ETL tools null

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal employment opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment without regard to race, color, ethnicity, religion,sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military oruniformed service member status, or any other status or characteristic protected by applicable laws, regulations, andordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request to [email protected].