Senior Analytics Business Partner

Surescripts

1d•$141,700 - $173,100•Hybrid

About The Position

The Senior Analytics Business Partner helps create a data-driven culture by working with internal and external customers to define and prioritize value, align roadmaps, and deliver analytical solutions that address business needs. The role partners with the Data & Analytics team, business leaders, and customers to identify and communicate data-driven opportunities; educate the business on analytics value; elaborate and prioritize business ideas; translate those ideas for technical teams; facilitate feedback throughout development; and help ensure delivery of sustainable value. Surescripts uses a Flexible Hybrid Work model for most positions. Employees may work virtually and use offices as collaboration centers, with leadership alignment and agreement. Applicants must have valid U.S. work authorization without restrictions; the company does not provide immigration sponsorship or support academic training or work-study programs requiring employer endorsement. The position offers a base pay range of $141,700–$173,100 per year. Compensation may vary based on qualifications, skills, experience, and location. Benefits include comprehensive healthcare, including infertility coverage; paid time off; paid childbirth and parental leave; mental health days; pet insurance; and a 401(k) with company match and immediate vesting. The company also describes employee development opportunities, competitive compensation packages, and an innovative, collaborative work culture. The role may require attending meetings in and out of the office, travel, effective oral and written communication, and use of computers and standard office equipment, with or without reasonable accommodation. Mental demands include using judgment, withstanding moderate stress, and maintaining attention to detail, with or without reasonable accommodation.

Requirements

Bachelor’s degree or equivalent experience.
At least 5 years of experience in related, progressive roles.
At least 2 years of experience as a Product Owner, System Analyst, Business Analyst, Business Intelligence Analyst, or in a closely related role.
At least 2 years of experience driving projects independently.
Demonstrated expertise in the data and analytics life cycle.
Experience working with manager-level stakeholders and above to reconcile competing business priorities.
Experience presenting complex material to non-technical, non-specialized audiences.
Familiarity with database and reporting technologies.
Valid U.S. work authorization allowing unrestricted work in the U.S.; sponsorship is not available.

Nice To Haves

Experience designing or developing data and analytical solutions in healthcare IT.
Ability to condense complex technical information and tradeoffs into brief, concise business-level language.
Change management experience.
Experience with industry standards such as NCPDP, X12, HL7, or FHIR.
Experience with data visualization and analytical techniques.
Training or experience with software development life cycle processes, including Agile development.
Experience with Data Governance in a healthcare setting.

Responsibilities

Collaborate with stakeholders to shape data and analytics departmental roadmaps and vision, ensuring solutions align with corporate and departmental strategies and requirements.
Act as a liaison among departmental business owners, end users, and Data & Analytics engineering teams.
Serve as a subject matter expert in existing reporting capabilities.
Help the business understand Data Governance requirements and constraints that may affect requests.
Own prioritization and reconciliation of the end-to-end Data & Analytics development backlog, working with Data & Analytics Engineering Management and other Data Solutions Owners.
Lead cross-functional teams in identifying high-value business opportunities in data processes and efficiencies, clarifying requirements, and setting business expectations.
Document workflows, process diagrams, business use cases, business requirements, and other documentation needed to align solutions with business needs.
Apply user-centered design best practices to ensure requirements address end-user needs.
Assist Data & Analytics engineering teams with planning data delivery for rapid, incremental business value.
Work with engineering teams to decompose and size development projects.
Communicate milestones, progress, challenges, issues requiring escalation, and estimated timelines.
Manage final user acceptance testing of delivered data solutions and capture enhancement requests for future phases.
Work with technical subject matter experts and tech leads to develop detailed business and technical system requirements.
Provide input to continuously improve intake, prioritization, and delivery processes.