Armada Analytics Jobs in Usa

Consultant, Commercial Analytics Manager

Summary

Our mid-sized, growing pharmaceutical client is seeking a Data Analyst professional who is highly motivated and a strategic individual responsible for supporting the commercial success of our clients pharmaceutical brands. This role combines advanced analytics, data visualization, and storytelling to generate actionable insights that influence brand strategy and leadership decision-making. The ideal candidate will bring strong analytical capabilities, expertise in pharmaceutical data, and a collaborative mindset to drive performance across the organization.

Responsibilities

• Translate complex analytics into clear, actionable insights.
• Develop compelling, data-driven narratives to support brand strategy and executive decisions.

Power BI Development

• Design, build, and maintain interactive, user-friendly dashboards to track brand and portfolio performance.
• Continuously enhance visualizations based on evolving business needs.

Ad-Hoc Analytics & Creative Problem Solving

• Conduct deep-dive analyses to support new brand launches and optimize in-line brands.
• Apply creative thinking to uncover insights and solve complex business questions.

Portfolio Performance Management

• Monitor and analyze KPIs across a portfolio of assets.
• Identify trends, risks, and opportunities to inform strategic decisions.

Vendor Management

• Coordinate with external analytics vendors to ensure timely, high-quality deliverables.

Cross-Functional Collaboration

• Partner closely with Marketing, Sales, Market Access, Forecasting, Finance, and Market Research teams to inform brand strategy and tactical execution.

Data Integrity & Industry Awareness

• Ensure data accuracy, consistency, and integrity across all reports and tools.
• Stay abreast of industry trends, competitive intelligence, and evolving analytical methodologies.

Qualifications/Experience:

• 3+ years of experience in pharmaceutical data science, brand analytics, or commercial analytics, with at least 2 years in the pharmaceutical or life sciences industry.
• Experience with specialty pharmacy data and related analytics.
• Strong command of pharma data sources (e.g., IQVIA, Symphony, Komodo, claims data, specialty pharmacy, field activity data).
• Proficiency in data visualization & analytics tools (Power BI, Tableau, Excel, SQL, Python, or SAS).
• Preferred: Experience in nephrology, rare disease, oncology, or specialty pharmacy distribution.
• Education: Bachelor’s degree in Business, Statistics, Economics, Life Sciences, Computer Science, or a related field.

Term & Start

• 12 month contract – possible option to extend.
• Start 2-3 weeks from an offer.
• Remote with ability to go onsite 1 X per week in Princeton, NJ
• Benefits available (Medical, Dental, Vision, 401k

How you move is why we're here. Now more than ever.

Get back to what you need and love to do. The possibilities are endless... Now more than ever, our guiding principles are helping us in our search for exceptional talent - candidates who align with our unique workplace culture and who want to maximize the abundant opportunities for growth and success. If this describes you then let's talk! HSS is consistently among the top-ranked hospitals for orthopedics and rheumatology by U.S. News & World Report. As a recipient of the Magnet Award for Nursing Excellence, HSS was the first hospital in New York City to receive the distinguished designation. Whether you are early in your career or an expert in your field, you will find HSS an innovative, supportive and inclusive environment.

Working with colleagues who love what they do and are deeply committed to our Mission, you too can be part of our transformation across the enterprise.

Emp Status: Regular Full Time

Work Shift: Day (United States of America)

Compensation Range: $128,500.00 - $196,375.00. In addition, this position will be eligible for additional benefits consistent with the role. The salary of the finalist selected for this role will be determined based on various factors, including but not limited to: scope of role, level of experience, education, accomplishments, internal equity, budget, and subject to Fair Market Value evaluation. The hiring range listed is a good faith determination of potential compensation at the time of this job advertisement and may be modified in the future.

The Hospital for Special Surgery Data & Analytics team is seeking a Director with a dedicated focus on supporting the Payer Strategy & Contracting function. In this role, you will report into the Data & Analytics team while serving as the primary data partner to leaders and team members in Payer Strategy. You will be responsible for translating business priorities into data-driven solutions, serving as a subject matter expert, driving automation, and delivering reporting, analytics, and insights that enable payer strategy and contracting initiatives and negotiations.

• Work closely with the Contracting team to provide analytical support for all contracting efforts, including payer contracting, bundled payment contracting, pay-for-performance contracting, and other emerging reimbursement methodologies.
• Create and maintain models and data products to evaluate the financial success and impact of new contracts, opportunities, and policy changes, building automated processes that can be reused and scaled across multiple contracts and scenarios.
• Partner with the Payer Strategy & Contracting team to drive automation design and manage automated reporting solutions, transitioning existing manual processes into scalable, repeatable workflows within the enterprise data lakehouse.
• Collaborate across the Data & Analytics team to align payer strategy data needs with the broader enterprise data strategy.
• Serve as a subject matter expert in payer strategy analytics, acting as the primary liaison between the Payer Strategy & Contracting team and the Data & Analytics organization.
• Mentor junior analysts, building technical and analytical capabilities while fostering knowledge of payer strategy and contracting.

• Bachelors degree in Data Science, Finance, Economics, Health Administration, or related field (Masters preferred).
• 7+ years Provider/Payer contracting experience.
• Strong understanding of payer contracting concepts, reimbursement methodologies, and healthcare financial drivers.
• Advanced experience with APR-DRG, MS-DRG, Ambulatory Surgery Center groupers, APC, APG, and RBRVS reimbursement methodologies.
• Proficiency in SQL and experience working with enterprise data platforms.
• Demonstrated ability to automate reporting and analytic workflows.
• Knowledge of hospital operations, health/insurance benefit plans, revenue cycle claims systems and complex reimbursement methodologies.
• Proven track record of developing models to evaluate financial impact of contracts, policy changes, or new opportunities.
• Strong communication skills with the ability to translate complex analytics into clear, actionable insights for non-technical stakeholders.
• Experience mentoring or managing analysts, with a focus on developing both technical and business acumen.
• Comfort working cross-functionally particularly with finance, contracting, and technical data teams.

Hospital for Special Surgery is the world's leading academic medical center focused on musculoskeletal care. You will sit at the nexus of data science, clinical excellence, and strategic innovationhelping shape initiatives that improve patient outcomes on a global scale, all within a collaborative, flexible, and inclusive work environment.

Non-Discrimination Policy: Hospital for Special Surgery is committed to providing high quality care and skilled, compassionate, reliable service to our community in a safe and healing environment. Consistent with this commitment, Hospital for Special Surgery provides care, admits, and treats patients and provides all services without regard to age, race, color, creed, ethnicity, religion, national origin, culture, language, physical or mental disability, socioeconomic status, veteran or military status, marital status, sex, sexual orientation, gender identity or expression, or any other basis prohibited by federal, state, or local law or by accreditation standards.

Position Overview

Analytics, Decision Sciences, and Research work as a team, which is uniquely capable of delivering a smartly blended solution by tapping a broad set of analytical skills. The Manager is tasked with partnering with key internal and client teams to oversee measurement, insights and performance optimization deliverables. The ideal candidate can push beyond the obvious answers and quickly use the data, tools, analysis techniques and resource partners to get to the root of story. The Manager is a subject matter expert, but also eager in the desire to learn and further develop the discipline.

Responsibilities

• 
  
• Ownership of ongoing analytics and measurement programs for media planning and investment solutions
  
• Work with internal and client stakeholders to development measurement plans including establishing campaign performance benchmarks, media goals, and statistical framework
  
• Manage dashboard and insights programs across campaigns, competitive intelligence, audience analytics
  
• Ownership of brand health survey research programs (insights development, presentations, optimization recommendations) including coordination with external measurement partners such as comScore, Research Now, and Kantar
  
• Responsible for client communication including reporting, requests and questions
  
• Manage timelines for dashboards and other client insights deliverables
  

Required Skills and Experience

• 
  
• Strong understanding of advertising measurement and analytics, with the ability to provide meaningful insight to the client as well as internal teams
  
• Experience developing insights from third-party ad serving and digital analytics/attribution tools: DoubleClick, Adobe Analytics, Google Analytics, Visual IQ, etc.
  
• Experience with statistical analysis, including test design and sample requirements
  
• Proficiency with at least one statistical software package such as R and Python.
  
• Proven ability to digest and explain complex ideas to a diverse group of stakeholders; including data visualization/dashboards using tools such as Tableau and Datorama
  

Desired Skills and Experience

• 
  
• 4-5 years analytical experience, preferably in the advertising or media industry
  
• General programming experience (SQL, Python, Excel VBA, etc.)
  
• High proficiency in Microsoft Office suite (Excel, PowerPoint)
  
• Ability to work under pressure and manage multiple priorities
  
• Must be a team player but also can work individually
  
• Experience developing custom measurement solutions; including survey design and fielding
  

We offer a Total Rewards package that includes medical and dental coverage, 401(k) plans, flex spending, life insurance, disability, employee discount program, employee stock purchase program and paid family benefits to support you and your family.

The salary range for this position is posted below. Where an employee or prospective employee is paid within this range will depend on, among other factors, actual ranges for current/former employees in the subject position, market considerations, budgetary considerations, tenure and standing with the Company (applicable to current employees), as well as the employee's/applicant's skill set, level of experience, and qualifications.

It is our policy to provide equal employment opportunities to all employees and applicants for employment without regard to race, color, ethnicity, gender, age, religion, creed, national origin, sexual orientation, gender identity, marital status, citizenship, genetic information, veteran status, disability, or any other basis prohibited by applicable federal, state, or local law.

Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties, or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice.

The employer will make reasonable accommodations in compliance with the American with Disabilities Act of 1990. The job description will be reviewed periodically as duties and responsibilities change with business necessity. Essential and other job functions are subject to modification. Reasonable accommodations may be provided to enable individuals with disabilities to perform the essential functions.

For applicants to jobs in the United States: In compliance with the current Americans with Disabilities Act and state and local laws, if you have a disability and would like to request an accommodation to apply for a position with Mediabrands, please email .

Staff Data Scientist – Sales Analytics

Location: San Francisco (Hybrid)

Salary: $200–250k base + RSUs

This fast-growing Series E AI SaaS company is redefining how modern engineering teams build and deploy applications. We’re looking for a Staff Data Scientist to drive Sales and Go-to-Market (GTM) analytics, applying advanced modeling and experimentation to accelerate revenue growth and optimize the full sales funnel.

About the Role

As the senior data scientist supporting Sales and GTM, you will combine statistical modeling, experimentation, and advanced analytics to inform strategy and guide decision-making across our revenue organization. Your work will help leadership understand pipeline health, predict outcomes, and identify the levers that unlock sustainable growth.

Key Responsibilities

• Model the Business: Build forecasting and propensity models for pipeline generation, conversion rates, and revenue projections.
• Optimize the Sales Funnel: Analyze lead scoring, opportunity progression, and deal velocity to recommend improvements in acquisition, qualification, and close rates.
• Experimentation & Causal Analysis: Design and evaluate experiments (A/B tests, uplift modeling) to measure the impact of pricing, incentives, and campaign initiatives.
• Advanced Analytics for GTM: Apply machine learning and statistical techniques to segment accounts, predict churn/expansion, and identify high-value prospects.
• Cross-Functional Partnership: Work closely with Sales, Marketing, RevOps, and Product to influence GTM strategy and ensure data-driven decisions.
• Data Infrastructure Collaboration: Partner with Analytics Engineering to define data requirements, ensure data quality, and enable self-serve reporting.
• Strategic Insights: Present findings to executive leadership, translating complex analyses into actionable recommendations.

About You

• Experience: 6+ years in data science or advanced analytics roles, with significant time spent in B2B SaaS or developer tools environments.
• Technical Depth: Expert in SQL and proficient in Python or R for statistical modeling, forecasting, and machine learning.
• Domain Knowledge: Strong understanding of sales analytics, revenue operations, and product-led growth (PLG) motions.
• Analytical Rigor: Skilled in experimentation design, causal inference, and building predictive models that influence GTM strategy.
• Communication: Exceptional ability to tell a clear story with data and influence senior stakeholders across technical and business teams.
• Business Impact: Proven record of driving measurable improvements in pipeline efficiency, conversion rates, or revenue outcomes.

• Degree in Chemistry, Biochemistry, Immunology, Biology, or a related field.
• Master’s with 2+ years of experience or BS with 4+ years of experience.
• Strong understanding of analytical method development, including molecular and cell based assays.
• Demonstrated ability to design, execute, and analyze experiments with excellent communication and problem solving skills.
  
  

• Develop and optimize analytical methods for in process testing, product release, and product characterization, including qPCR, ddPCR, ELISA, and ELISpot.
• Lead method development, qualification, validation, and tech transfer activities with CDMOs and external QC partners.
• Troubleshoot analytical challenges and ensure accurate documentation in electronic lab notebooks.
• Collaborate with CMC leadership on regulatory submissions and represent Analytical Development in internal and external project meetings.
  
  

Title: Google Analytics Analyst

Work Location: Bridgewater, NJ

Position Type: Contract

Duration: Long Term

Job Description:

Google Analytics (GA4) Specialist – Key Responsibilities:

GA4 Implementation & Integration

Lead end-to-end GA4 implementations, including event architecture, tagging strategy, and integrations via Google Tag Manager or server-side tagging. Ensure accurate data collection across web and mobile platforms, including cross-domain and cross-platform tracking setups.

Universal Analytics (UA) Knowledge & Migration Support

Apply strong knowledge of Universal Analytics to support historical data interpretation, migration planning, and validation of GA4 tracking against legacy UA benchmarks.

Data Validation, Testing & Consent Management

Perform integration testing, QA, and troubleshooting of analytics implementations, including event validation, cross-domain tracking, and consent-aware deployments. Work with cookie consent platforms such as OneTrust and implement consent mode and privacy-compliant tracking strategies.

Dashboarding, Reporting & Insights

Build and maintain dashboards and reports using GA4, Looker Studio, or other BI tools. Translate complex data into clear, actionable insights for marketing, product, and leadership teams.

Analytics Governance, Certifications & Best Practices

Maintain tracking documentation, data governance standards, and ongoing optimization initiatives. Stay current with industry best practices and hold relevant certifications such as Google Analytics Certification (GA4), Google Tag Manager fundamentals, and other recent digital analytics or measurement certifications.

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.

Locations: United States

About the job you’re considering

We are seeking a dynamic and experienced Delivery , Solutioning, Senior Pre-Sales & Go-to-Market (GTM) expert to drive our SAP Data & Analytics practice growth. This role combines strategic market planning with hands-on pre-sales and solutioning expertise. You will collaborate closely with sales, delivery, marketing, and alliance teams to create compelling value propositions and win strategic SAP deals focused on data and analytics (including SAP Datasphere, SAC, BTP, MDG, BDC, BODS/Syniti and related technologies)

You Role:

Go-to-Market Strategy:

• Develop and execute GTM strategies for SAP Data & Analytics offerings
• Identify high-growth areas (e.g., S/4HANA migrations, Data Governance, Datasphere adoption, BDC, AI/ML on SAP data)
• Collaborate with SAP alliance and marketing teams on campaigns, events, and solution launches
• Track market trends, competitor offerings, and customer needs to refine strategy

Pre-Sales & Solutioning:

• Lead pre-sales engagements including discovery, RFP responses, solution design, orals and client presentations
• Conduct client workshops and articulate value propositions across industries and SAP landscapes
• Design and propose end-to-end SAP Data & Analytics architectures leveraging BTP, Datasphere, SAC, HANA, MDG, BDC etc.
• AI in everything we do – must have experience in proposing AI-based solutions for the entire solution portfolio (ability to draw the solution architecture and estimate the staffing and cost)
• Create reusable solution accelerators, demos, and sales collateral with delivery teams

Sales Enablement:

• Support SAP sales and account teams with opportunity shaping and deal closure
• Build and manage a pipeline of opportunities and drive them through the sales lifecycle
• Educate internal teams on SAP data and analytics offerings and GTM playbooks

Thought Leadership:

• Represent the company in SAP events, webinars, and industry forums
• Publish blogs, whitepapers, and thought leadership content on data and analytics trends in SAP ecosystem
• Orchestrate solutions using AI

Required skills:

• 15+ years of experience in SAP ecosystem with deep expertise in Data & Analytics (either deep delivery experience of multiple global deployments or deep pre-sales experience)
• Strong knowledge of Data migration tools and methodology, Data Quality, SAP Datasphere, SAP BTP, SAC, MDG, SAP BDC and integration with non-SAP tools
• Strong knowledge of AI and how to design/deliver AI-native solutions in the Data and Analytics space
• Proven track record in pre-sales, GTM planning, and enterprise solutioning
• Experience working in or with consulting and services organizations
• Ability to engage C-level stakeholders with business and technical messaging
• Excellent communication, storytelling, and proposal writing skills
• Experience working with SAP alliance teams is a plus

The base compensation range for this role in the posted location is: $121,500 - $268,170

Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.

The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.

These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.

It is not typical for candidates to be hired at or near the top of the posted compensation range.

In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.

Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include:

• Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave
• Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)
• Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
• Life and disability insurance
• Employee assistance programs
• Other benefits as provided by local policy and eligibility

Important Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini’s discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation.

Disclaimers

Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect. We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.

This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.

Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.

Click the following link for more information on your rights as an Applicant in the United States. is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.

About the Job:

The Applied Analytics Analyst serves as the technical anchor of the Strategic Resource Group. This role is responsible for translating complex business and market questions into structured, executable data outputs using Trilliant Health’s proprietary claims, provider directory, and price transparency datasets.

The Applied Analytics Analyst owns feasibility validation, analytical methodology design, and data integrity across research initiatives and pre-sales support. This individual combines strong technical proficiency with healthcare domain expertise and plays a critical role in standardizing how recurring strategic questions are answered across the organization.

You are our ideal candidate if you:

• Design and execute complex SQL queries and data builds from Trilliant’s data warehouse
• Capture and maintain documentation outlining how and why analytical frameworks are applied to support consistency and institutional knowledge retention
• Validate data integrity and identify gaps, missingness, structural limitations, or edge cases
• Own technical feasibility assessments for research and pre-sales opportunities
• Develop repeatable analytical frameworks for common strategic use cases
• Support research initiatives through structured dataset construction and methodological validation
• Create reusable datasets, templates, and documentation to reduce institutional knowledge concentration
• Maintain high standards of quality control and analytical rigor across all deliverables
• Interface effectively with Sales, SRG, Research, Product, and Data Engineering teams
• Respond to ambiguity with structured problem solving and professional judgment

Technical Skills:

• Advanced proficiency in SQL and experience querying large data warehouses
• Experience working in Databricks or similar environments preferred
• Strong proficiency in Excel and PowerPoint
• Familiarity with Tableau or other BI tools
• Experience working with complex healthcare claims datasets required

Other Skills:

• Strong analytical and critical thinking skills
• Ability to synthesize large datasets into structured outputs
• Excellent documentation and organizational skills
• Strong written and verbal communication skills
• Ability to work independently with minimal supervision
• High attention to detail and commitment to data quality

Position Location:

This position is onsite in Brentwood, TN

*We are unable to provide visa sponsorships for this role.

About Trilliant Health:

Trilliant Health is a high-growth, healthcare technology company. We are on a mission to be the most trusted advisor, dependable partner and provider of analytic insights to key stakeholders in the health economy enabling them to maximize return on invested capital. We do that by providing education and expertise through thought leadership, evidence-based strategy, and predictive analytics. We are looking to grow our team as we strive to influence positive change in healthcare by disrupting the status quo and promoting improved decision-making.

Vaxess is developing a pipeline of next-generation therapeutics on our novel micro-array patch platform. With only five minutes of wear-time on the skin, the Vaxess’ patch combines room temperature stability with simplified application to dramatically alter the way that drugs are delivered. Vaxess is committed to enabling products that are not only more effective, but also more accessible to patients around the world.

The Role

We are seeking a talented, collaborative, and highly motivated individual with expertise analytical methods highly focused on HPLC and QC operations to join our core team of scientists and engineers. The Senior Scientist will execute Quality Control testing, and associated operations and contribute to analytical testing to ensure compliance with cGMP requirements. This is a unique opportunity to be part of an emerging early-phase clinical company bringing innovative technology to the global market.

Key Responsibilities

• Lead the design, development, optimization, and execution of HPLC-based analytical methods (e.g., RP-HPLC, SEC, IEX) to support in-process, release, and stability testing.
• Develop, qualify, validate, and characterize GMP-compliant purity, SEC, and content methods for intermediates and drug products, with a strong emphasis on chromatographic workflows.
• Author and execute cGMP method qualification and validation protocols, prepare reports, and perform/oversee routine QC testing.
• Serve as Subject Matter Expert for chromatography methods during investigations of deviations, OOS/OOT events, assay failures, and other non-conformance issues.
• Provide technical leadership in HPLC troubleshooting, instrument maintenance coordination, data integrity practices, and chromatographic data review.
• Independently author method SOPs, analytical protocols, technical reports, and contribute to regulatory submissions.
• Maintain rigorous laboratory documentation and complete, audit-ready analytical records.
• Collaborate effectively with QC, Manufacturing, Process Development, and Regulatory teams to enable program success across phases.
• Thrive in a fast-paced, cross-functional environment with excellent communication and organizational skills.

Qualifications

• Ph.D. in Analytical Chemistry, Biochemistry, or related field with a minimum of 4 years (10 years for Senior Scientist) in the biotech/pharmaceutical industry; or M.S. with commensurate experience.
• Demonstrated in-depth expertise in HPLC, including method development, troubleshooting, system suitability design, chromatographic theory, and data interpretation.
• Hands-on experience with multiple chromatographic techniques (RP-HPLC, SEC, IEX, affinity, gradient optimization, detector setup/maintenance).
• Proven success developing and validating GMP analytical methods and supporting GMP operations.
• Experience with complementary analytical techniques such as UV-Vis, LC-MS, CE, ELISA, or other functional assays is beneficial.
• Experience working in a QC or cGMP laboratory environment with strong understanding of data integrity requirements (ALCOA+).
• Strong organizational skills, precision in documentation, and ability to manage multiple analytical workflows simultaneously.
• Excellent oral and written communication skills.
• Commitment to collaborative work within interdisciplinary project teams.

At Vaxess, we’re bringing together exceptional talent to drive our product development forward. We value collaboration, curiosity, and a dynamic work environment. To apply, please submit your CV/resume to .

Company Description

Spiras Health delivers personalized healthcare services at home, focusing on patients at high risk of emergency events or hospitalizations. By addressing the unique needs of individuals with chronic diseases, multiple health conditions, and other social determinants of health, Spiras Health enhances quality of life and reduces healthcare costs. Through collaboration with health plan providers and care management teams, the company employs local Clinical Care Teams to deliver tailored home-based care. Leveraging innovative technology, Spiras Health ensures efficient and effective program delivery. For more information, visit .

Who We Are:  Excellence, Innovation, Passion, Compassion, Communication

Spiras Health is a value-based, nurse practitioner led clinical provider of care-at-home and other health-related services to individuals with complex and polychronic needs. Spiras’ comprehensive approach to care delivery includes a combination of home-based services, telehealth, two-way digital communications, and remote patient monitoring. Proprietary predictive modeling identifies and assesses individuals with an elevated probability of avoidable costs. Spiras Health then develops actionable plans of care, addresses barriers including social determinants of health and delivers high quality patient care in collaboration with the patient’s treating physicians. Spiras’ innovative multi-modal care approach delivers improved satisfaction and clinical metrics as well as financial savings to its partners, through a geographically and economically scalable delivery model. Our culture is anchored on a promise of full accountability and integrity in everything we do.

How We Serve:

The Senior Data Analyst, in partnership with the Chief Financial Officer and Chief Commercial Officer, will design and develop market and opportunity analysis, monitor and measure contract performance, and model operational strategies and initiatives. Additionally, this role offers opportunity to engage with senior management and business unit leaders, contributing key insights that inform strategic decision making that ultimately supports the company’s growth.

Job Summary:

The Sr Analyst - Data & Analytics owns the integrity, analysis, and interpretation of payer claims data to support performance measurement, utilization management, and value-based care initiatives. This role is hands-on and accountable for claims QA, utilization metrics, and analytics outputs used by clinical, operations, and executive stakeholders.

This is an individual contributor role with strong technical depth in payer claims data and healthcare analytics platforms, including MedeAnalytics.

Key Responsibilities

Claims Data Quality & Governance

• Own QA processes for medical and pharmacy claims data, including eligibility, provider, diagnosis, procedure, and financial fields
• Identify, quantify, and resolve data anomalies (e.g., lag, duplication, missing claims, inconsistent coding)
• Partner with data engineering, vendors, and payers to remediate data quality issues
• Define and maintain claims data validation rules and documentation

Analytics & Utilization Management

• Analyze and report on core utilization metrics, including:
• Inpatient admits / 1,000
• ED visits / 1,000
• Readmissions
• PMPM cost trends
• Length of stay
• Avoidable admissions
• Apply payer benchmarks (national, regional, risk-adjusted where applicable) to contextualize performance
• Support matched cohort, pre/post, and trend analyses
• Translate claims data into actionable insights for clinical and operations teams

Platform Ownership (MedeAnalytics)

• Serve as a power user and analytics owner of the MedeAnalytics platform
• Build, validate, and QA dashboards, reports, and analytic views
• Ensure alignment between platform outputs and internal data models
• Act as internal SME for MedeAnalytics capabilities and limitations

Stakeholder & Team Collaboration

• Partner closely with:
• Clinical leadership
• Operations
• Finance
• Growth
• Present findings to senior leadership in clear, non-technical language

Required Qualifications

• 5–8 years of healthcare analytics experience
• Deep experience working with payer medical and pharmacy claims data
• Strong understanding of utilization metrics and healthcare cost drivers
• Hands-on experience with MedeAnalytics (required)
• Advanced SQL/SAS skills; experience with data visualization tools (Tableau, Power BI, or equivalent)
• Proven ability to QA complex healthcare datasets
• Bachelor’s degree in Analytics, Statistics, Health Informatics, or related field

Preferred Qualifications

• Experience supporting value-based care, MA, D-SNP, or ACO programs
• Familiarity with HEDIS, Stars, or CMS reporting concepts
• Experience with risk adjustment (HCCs)

Physical Requirements:

• Prolonged periods of sitting at a desk and working on a computer.
• This job operates in a hybrid professional environment free from noise and distraction. This role routinely uses standard office equipment such as computers and phones.
• The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. 
• Specific vision abilities required by this job include close vision, distance vision, color vision, peripheral vision, depth perception and ability to adjust focus. 
• While performing the duties of this job, the employee is regularly required to talk and hear.
• This position requires the ability to occasionally lift office products and supplies, up to twenty pounds.

EEOC STATEMENT:  

• All qualified candidates will receive consideration for employment without regard to age, race, color, national origin, gender (including pregnancy, childbirth or medical conditions related to pregnancy or childbirth), gender identity or expression, religion, physical or mental disability, medical condition, legally protected genetic information, marital status, veteran status, or sexual orientation.