Data Analyst, ACO

Overview

This role is remote with occasional time onsite. The selected candidate must live and work from one of the New England states (ME, NH, VT, MA, RI, CT)

The Data Analyst is responsible for independently delivering high-quality data products and insights to support ACO’s operational and strategic goals. This role requires proficiency in data analysis, visualization, and reporting, as well as the ability to collaborate with stakeholders and the ED&A team. The Analyst works on multiple projects simultaneously, ensuring deliverables are completed on time and meet business needs. This role involves gathering requirements, developing dashboards, and contributing to the creation of reusable analytic assets to support decision-making. This role also provides training to ACO management team.

Healthcare experience or familiarity with healthcare data is preferred.

Located in Boston and the surrounding communities, Dana-Farber Cancer Institute is a leader in life changing breakthroughs in cancer research and patient care. We are united in our mission of conquering cancer, HIV/AIDS and related diseases. We strive to create an inclusive, diverse, and equitable environment where we provide compassionate and comprehensive care to patients of all backgrounds, and design programs to promote public health particularly among high-risk and underserved populations. We conduct groundbreaking research that advances treatment, we educate tomorrow's physician/researchers, and we work with amazing partners, including other Harvard Medical School-affiliated hospitals.

Responsibilities

• Manage multiple projects independently, ensuring tasks are completed on time and within scope.
• Collaborate with stakeholders to gather business requirements, define project charters and impact assessments.
• Identify data sources and develop technical data design requirements.
• Create wireframes and develop visualizations using Tableau and other BI tools.
• Write SQL queries to extract and transform data.
• Conduct quality assurance (QA) and user acceptance testing (UAT) in collaboration with stakeholders.
• Provide training and materials on Tableau, Excel, and data analysis best practices.

Qualifications

• Bachelor's degree required in related field.
• Master's degree preferred.
• 3-5 years of relevent experience.
• Tableau certification within the first 6 months of hire.

KNOWLEDGE, SKILLS, AND ABILITIES REQUIRED:

• Strong analytical, organizational, and time management skills.
• Excellent attention to detail and accuracy.
• Effective communication skills for formal presentations and stakeholder engagement
• Strong interpersonal skills for collaboration across departments and stakeholders at all levels.
• Ability to manage multiple projects and adapt to changing circumstances in a fast-paced environment.

Pay Transparency Statement

The hiring range is based on market pay structures, with individual salaries determined by factors such as business needs, market conditions, internal equity, and based on the candidate’s relevant experience, skills and qualifications.

For union positions, the pay range is determined by the Collective Bargaining Agreement (CBA)

$35.96/hr - $41.87/hr

At Dana-Farber Cancer Institute, we work every day to create an innovative, caring, and inclusive environment where every patient, family, and staff member feels they belong. As relentless as we are in our mission to reduce the burden of cancer for all, we are committed to having faculty and staff that offer multifaceted experiences. Cancer knows no boundaries and when it comes to hiring the most dedicated and diverse professionals, neither do we. If working in this kind of organization inspires you, we encourage you to apply.

Dana-Farber Cancer Institute is an equal opportunity employer and affirms the right of every qualified applicant to receive consideration for employment without regard to race, color, religion, sex, gender identity or expression, national origin, sexual orientation, genetic information, disability, age, ancestry, military service, protected veteran status, or other characteristics protected by law.