At a Glance
- Tasks: Manage and optimise data dashboards to drive impactful decisions in healthcare research.
- Company: Join a leading healthcare tech company transforming patient outcomes with innovative solutions.
- Benefits: Enjoy hybrid work, unlimited PTO, comprehensive health coverage, and a supportive team culture.
- Other info: Collaborative environment focused on continuous learning and personal growth.
- Why this job: Make a real difference in clinical research while developing your data management skills.
- Qualifications: 4+ years in data management or analytics, strong SQL skills, and a passion for problem-solving.
The predicted salary is between 40500 - 49500 £ per year.
Iterative Health is a healthcare technology and services company powering the acceleration of clinical research to transform patient outcomes.
We built a leading performance-driven network of 100+ sites across the US, Europe, India, and Australia, conducting research directly in the communities where care is delivered across gastrointestinal, hepatology, obesity, and cardiology.
By combining deep clinical trial expertise with cutting-edge AI, we connect sponsors' scientific ambitions with high-performing research teams that expedite and expand access to novel therapeutics for patients in need.
Today, Iterative Health is headquartered in Cambridge, Massachusetts, and New York City with 250+ employees world-wide.
The Data Manager at Iterative Health will play a critical role in building and managing the data and dashboards that supports how we operate, make decisions, and scale the business.
This role will ensure our data is accurate, accessible, secure, well-governed, and effectively managed across our growing technology ecosystem.
Reporting to the Director of IT and working directly with Finance and other G&A leaders, the Data Manager will own and drive data management, governance, and quality practices across the organization.
This includes establishing scalable standards and processes, improving data integrity across systems, supporting data integrations and migrations, and creating greater visibility into how data is captured, managed, and used across the business.
This is an opportunity to build foundational data capabilities from the ground up, bring greater consistency and structure to our data environment, and help ensure Iterative Health has trusted data to support both day-to-day operations and long-term growth.
- Where You'll Drive Impact
- Build, maintain, and improve dashboards, reports, and analytics tools in Amazon Quick Sight, Metabase, Power BI and other BI platforms using data stored across our AWS environment.
- Partner with business teams to understand reporting and analytics needs, translate those needs into clear data requirements, and develop dashboards that make important business metrics easy to understand and act on.
- Write and optimize SQL queries to analyze data, create reporting datasets, troubleshoot issues, and support scalable dashboarding and analytics.
- Develop a strong understanding of our underlying data models and business processes to ensure dashboards and metrics accurately reflect how the organization operates.
- Define and maintain consistent business metrics, calculations, data definitions, and reporting logic across dashboards and teams.
- Validate dashboard outputs against source systems, identify data quality issues, and work with engineering, IT, and system owners to resolve discrepancies.
- Design dashboards that are intuitive, performant, and useful to both operational teams and leadership.
- Identify opportunities to automate recurring reporting and replace manual Excel- or spreadsheet-based processes with scalable dashboards and data products.
- Partner with data and engineering teams to improve reporting datasets, data models, and pipelines as new analytics needs emerge.
- Help establish standards and documentation for dashboards, metrics, data sources, and reporting logic so that analytics remain accurate and maintainable as Iterative Health grows.
- Support ad hoc analysis and other data and reporting priorities across the organization as needed.
- What You'll Bring
- 4+ years of experience in business intelligence, analytics, data analysis, reporting, or a related field.
- Strong communication skills and business sense. Able to communicate technical concepts to non-technical audiences with ease.
- Strong SQL skills and experience querying relational databases and working with large datasets.
- Experience building production dashboards and reports in BI tools such as Amazon Quick Sight, Metabase, Tableau, Power BI, Looker, or similar platforms.
- Experience translating business questions into metrics, analyses, datasets, and dashboards.
- Strong understanding of data visualization and dashboard design, including how to present complex information clearly and effectively.
- Ability to understand data models, relationships between datasets, and how data flows from source systems into reporting environments.
- Strong analytical and problem-solving skills, including the ability to investigate unexpected results and identify the root cause of data discrepancies.
- Strong attention to detail and a high level of ownership over the accuracy and reliability of reporting.
- Ability to communicate technical and analytical concepts clearly to non-technical stakeholders.
- Experience working cross-functionally with business, technology, and data teams.
- Ability to manage multiple reporting and analytics priorities in a fast-moving environment.
- Bachelor's degree in Computer Science, Information Systems, Data Analytics, Business Analytics, or a related field preferred.
- Nice to Have
- Hands-on experience with Amazon Quick Sight and/or Metabase.
- Experience working with data and databases hosted in AWS.
- Familiarity with AWS data services such as RDS, Redshift, Athena, S3, or related technologies.
- Experience creating reporting-ready datasets or semantic layers for use across multiple dashboards.
- Experience with data modeling, ETL/ELT pipelines, or modern data warehouses.
- Experience working with healthcare, life sciences, clinical research, or other regulated data.
- Experience building executive-level and operational dashboards used to manage business performance.
- Experience automating reporting processes or migrating reporting from Excel and other manual workflows into BI platforms.
- Familiarity with Python or other scripting languages for data analysis and automation
What You Bring to the Team
- Bachelor's degree in Information Systems, Computer Science, Data Management, Business Analytics, or a related field, or equivalent experience.
- 5+ years of experience in data management, data governance, business systems, data operations, or a related field.
- Experience developing and implementing data governance and data quality processes.
- Strong understanding of data structures, data lifecycle management, data integration, and data architecture concepts.
- Experience working across multiple business systems and understanding how data moves between systems.
- Strong analytical and problem-solving skills with the ability to identify root causes and develop practical solutions.
- Excellent communication and stakeholder management skills, with the ability to work effectively with both technical and non-technical audiences.
- Strong organizational skills and attention to detail, particularly when managing complex datasets and cross-functional initiatives.
- Experience with data management, reporting, BI, or data governance tools.
- Preferred Qualifications
- Experience in healthcare, clinical research, health technology, or another highly regulated environment.
- Experience with HIPAA, SOC 2, or other data privacy and security frameworks.
- Experience with enterprise applications such as HRIS, ERP, CRM, ATS, or clinical systems.
- Experience with SQL, data visualization tools, or modern data platforms.
- Experience supporting data migrations, system implementations, or M&A integrations.
- Experience establishing data governance programs in a growing organization.
- How We Work
- Collaborative and low-ego team environment
- High ownership and accountability culture
- Fast-paced and highly iterative growth environment
- Open communication and continuous learning mindset
- Mission-driven organization focused on improving patient outcomes
- Comfortable navigating evolving business priorities and opportunities
Benefits That Support You
We believe great teams do their best work when they feel supported — professionally and personally.
- Hybrid work environment with in-office collaboration two days per week in either our NYC , Southlake or Boston office
- Comprehensive medical, dental, and vision coverage, with up to 80% of premiums covered by Iterative Health
- Mental health and wellness support through Spring Health
- Health HSA or FSA options, and commuter FSA contributions supported by Iterative Health
- Unlimited PTO, 12 company holidays, and a company-wide shutdown between Christmas and New Years
- 401(k) program with a company match of up to 3% (up to $3,000 annually)
- Weekly in-office lunch benefit every Tuesday
- New York pay range
- $125,000
- $160,000
- USD
At Iterative Health, we’re actively working towards creating an environment that is representative of the diversity of patients our technology serves.
We are focused on building an equitable and inclusive culture, and by extension, hiring process.
If you require any accommodations to make the application process or interviewing experience more accessible to you, please contact Candidate Accommodations@iterative. health.
Data Manager in Cambridge employer: Iterative Health
At Iterative Health, we pride ourselves on being an exceptional employer that fosters a collaborative and low-ego work culture, where every team member is empowered to take ownership and drive impactful change in clinical operations. Our hybrid work environment, comprehensive benefits including unlimited PTO, and commitment to professional development ensure that our employees feel supported both personally and professionally. With a mission-driven focus on improving patient outcomes, we offer unique opportunities for growth and innovation in the heart of New York City or Boston, making us an ideal place for those looking to make a meaningful impact in healthcare.
StudySmarter Expert Advice🤫
We think this is how you could land Data Manager in Cambridge
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Iterative Health!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Manager at Iterative Health.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Iterative Health.
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We think you need these skills to ace Data Manager in Cambridge
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Iterative Health, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Iterative Health. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Iterative Health
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Iterative Health!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
