Director, Analytics

About the role

The Director, Analytics defines analytic strategy for complex customer engagements and shapes how insights support healthcare delivery. This leader translates raw healthcare data into actionable strategies that drive measurable improvements in care delivery and operational efficiency. They own the end-to-end analytical lifecycle, from problem framing through insight communication, ensuring every engagement is grounded in robust evidence. The role establishes methodological guardrails and performance frameworks that align analytics with contractual outcomes and business value. Close collaboration with senior leaders and direct reports ensures that data narratives influence high-stakes decisions. By harmonizing enterprise data architecture with healthcare objectives, this position turns ambiguity into clarity and options into decisions. The Director, Analytics builds a culture where rigorous analysis, clear communication, and measurable impact are standard.

Key facts

What you'll do

Clarify enterprise data architecture and reporting commitments to align analytics with contractual performance outcomes in healthcare environments.

Form strategic analytic partnerships with senior leaders and direct reports to influence business decisions and customer engagements through evidence-based recommendations.

Provide methodological direction for complex analytic workstreams, ensuring backend and frontend deliverables meet rigorous standards of quality and reproducibility.

Create and sustain a rigorous performance management framework to evaluate team effectiveness, identify gaps, and drive continuous improvement.

Design and oversee analytics workflows that integrate diverse data sources, enabling transparent and auditable insights for healthcare decision support.

Lead cross-functional initiatives that bridge clinical, operational, and technical teams to solve intricate problems in care delivery and patient outcomes.

Champion advanced technical capability with productionalized analytics engines, optimizing data pipelines and tooling for scalability and reliability.

Demonstrate executive presence through clear, compelling communication of analytical results to non-technical stakeholders, translating complexity into actionable guidance.

Own the end-to-end analytical process, from hypothesis generation and data exploration through storytelling and impact measurement in healthcare settings.

Champion data quality and governance practices that ensure insights are trustworthy, timely, and aligned with regulatory and operational realities.

Foster an environment of continuous learning within the analytics team, encouraging experimentation, peer review, and knowledge sharing around emerging methods.

Balance strategic vision with hands-on analysis, diving into data when necessary to validate findings, troubleshoot issues, and mentor team members.

Requirements

A Bachelor's degree is required for this role.

Demonstrated experience in healthcare domain and advanced technical capability with productionalized analytics engines is expected.

The ability to operate autonomously in ambiguous environments and lead cross-functional initiatives is required.

Executive presence and strong communication skills are necessary to influence senior leaders and manage team performance.

A strong portfolio of past analyses matters more than degrees in many hiring decisions, so tangible evidence of impact is essential.

You must be comfortable working with SQL, data visualization tools, and modern analytics platforms as core instruments of your craft.

This role demands comfort with statistical reasoning, experimentation interpretation, and translating business problems into data questions.

You must be able to navigate complex stakeholder landscapes, aligning priorities and building consensus across distributed teams.

Practical notes

This role is fully remote within the USA and operates as a full-time position with compensation in the range stated. The Director, Analytics is expected to support contractual commitments and measurable performance outcomes while leading a small analytics team. Typical interview steps

Data interviews commonly include a SQL or coding exercise, a statistics question, and a case study. Candidates may be asked to design a metric, interpret an experiment, or build a small model. Some companies give a take-home analysis. Expect questions about past projects and the business impact of your work. Interviewers often evaluate how you communicate uncertainty and business impact, not only the math. Bringing a clean write-up of a past analysis to the interview is well received.

Good to know

Data-driven healthcare solutions aim to improve care, boost revenue, and lower costs. Analytics platforms, SQL workflows, and business intelligence tools form the core technical environment for this role. Methodological rigor, executive presence, and cross-functional collaboration determine success. Enterprise data strategy and performance management at scale are supported by this position.

Questions to ask

Worth asking in any interview: how the team measures success, who the role works with daily, what the onboarding looks like, and what the company is trying to achieve this year. Asking what past hires did well is a strong final question. Keep the list short and pick the questions that matter most to you.

Career growth

Data careers grow toward senior analyst, staff data scientist, or data engineering lead. Many professionals specialize in machine learning, analytics, or infrastructure. Cross-functional work with product and engineering teams becomes more important at senior levels. The field changes quickly, so continuous learning is part of the job. Professionals who can translate numbers into decisions tend to advance fastest.

About the company

Arcadia Group Ltd was a British multinational retailing company headquartered in London, England. It was best known for being the previous parent company of British Home Stores (BHS), Burton, Dorothy Perkins, Debenhams, Evans, Miss Selfridge, Topman, Topshop, Wallis and Warehouse.