
Director, Data – Reporting Strategy
Stratis Group
full-time
Posted on:
Location Type: Remote
Location: United States
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Job Level
About the role
- Provide direct support to clients and internal client-facing teams on projects related to data, analytics, or reporting for healthcare and life sciences.
- Facilitate requirement gathering and documentation for data and reporting projects. Participate in brainstorming sessions with clients to design KPIs, dashboards, and performance measurement frameworks aligned to client program objectives.
- Facilitate use of customer journeys, program business rules, and organizational goals and objectives to create measurable KPIs, metrics, and insights
- Lead discussions with clients to explain data, metrics, insights, and potential next steps.
- Design end-to-end analytical solutions across areas such as as data sourcing/flows, integration, tokenization, mastering, modeling, data access-control, visualization, report generation, and dashboard design.
- Connect disparate data sources agnostic of tools and or source formats (e.g., claims, patient services, hub operations, specialty / retail pharmacy, CRM, telephony, IVR, financial systems) into coherent analytic views to generate insights.
- Transform data to be able to analyze connected data sets using Extraction Transformation and Load Tools such as Knime, Pipeline Pilot, Alteryx etc.
- Create prototypes and wire-frames to facilitate ideation. Develop dashboards and reports using tools such as Tableau, Power BI, Domo, etc.
- Support project leaders & engagement managers with planning, scope definition, and time or resource allocation. Provide timely communication on status of deliverables.
- Plan and manage agendas, scheduling, and communication for data and report related deliverables in client, and internal project working group meetings.
- Lead preparation of slide decks with results of analytical findings using visuals that speak for themselves, or proof of concepts / models to enable implementation of analytical and dashboard solutions or metrics.
- Stay abreast with landscape of Healthcare Analytics, new technology or toolkits available for analytical solutions, new data sets and partnership opportunities to build novel capabilities to help clients.
- Identify, recommend and implement improvements that enhance productivity, clarity, and collaboration across departments and with clients.
Requirements
- Background in Pharmaceutical Consulting or Healthcare services
- Strong understanding of Market Access, Commercial, Trade & Distribution, and Patient Services function in Pharma.
- 10-12 years of experience developing analytical solutions and generating insights using healthcare data such as claims, patient services programs, specialty & retail pharmacy distribution etc.
- Knowledge of dashboard and reporting tools such as Power BI, Tableau, Thoughtspot, Domo, QuickBase, etc.
- Knowledge of SQL and ability to use ETL tools like Knime, Alteryx, PipelinePilot, etc.
- Ability to automate workflows using Python, R, SQL, PowerShell, etc.
- Knowledge of statistical methods, machine learning algorithms, and AI agentic workflows is preferred.
- Demonstrated success in supporting cross-functional client-facing workstreams
- Outstanding project management, organizational, and communication skills.
- Experience preparing materials for executive and client audiences (decks, reports, dashboards). Demonstrated ability to create compelling stories with PowerPoint or insights with reports / visuals.
- Comfortable working independently in a fast-paced, remote-first environment.
- Experience working directly with clients and supporting high-stakes external initiatives.
- Strong emotional intelligence, confidentiality, and ability to manage relationships at all levels.
- Proficiency in Microsoft Office Suite, Dropbox, project tracking software, and virtual collaboration tools.
Benefits
- Health insurance
- 401(k) matching
- Paid time off
- Flexible work arrangements
- Professional development
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
data analyticsreportingKPI designdata integrationdata modelingdata visualizationETLstatistical methodsmachine learningworkflow automation
Soft skills
project managementorganizational skillscommunication skillscross-functional collaborationemotional intelligencerelationship managementindependent workclient-facing skillsproblem-solvingcreativity