REGISTRIEREN

Jobbörse

Finde Jobs in deiner Nähe – ob vor Ort, hybrid oder remote.
  • Ähnliche Jobs zu: Lead Data Analyst, MyPay
XX
Lead Data AnalystDormont Manufacturing Company • New York, New York, United States
Jetzt Bewerben
XX

Lead Data Analyst

Dormont Manufacturing Company
  • US
    New York, New York, United States
  • US
    New York, New York, United States
Jetzt Bewerben

Über

We only sponsor employment visa for candidates who are authorized to work in the United States without sponsorship both now or in the future.
Key Responsibilities
Lead End-to-End Analyses
Partner with stakeholders to understand business priorities and translate them into analytical approaches
Design, test, and refine appropriate methodologies for complex analytical questions
Work directly with large, messy healthcare datasets, including medical and pharmacy claims
Build and maintain robust SQL queries and analytical datasets
Deliver Decision-Ready Insights
Develop clear visualizations and summaries that communicate findings to technical and non‑technical audiences
Translate complex analyses into actionable recommendations
Document methodologies, assumptions, and limitations to ensure transparency and repeatability
Collaborate Within the Team
Work closely with Data Scientists to support exploratory analyses, hypothesis generation, and interpretation of results
Partner with Analytics teammates to align definitions, methodologies, and data quality standards
Contribute through collaboration and shared problem‑solving
Drive Business Impact
Proactively identify opportunities where analytics can improve business outcomes
Support teams across the organization, including underwriting, product, account management, and cost containment
What We’re Looking For
A problem-solver with a natural sense of curiosity, analytic rigor, and a deep interest in understanding complex healthcare data
A collaborator with proven ability to work cross-functionally across many different stakeholders to create and deliver insights
A strong communicator who effectively shares information at the appropriate level across a wide variety of audiences
A self-starter with a demonstrated track record of owning projects from idea to execution
A critical thinker with demonstrated ability to be creative, strategic, and to apply strong business judgement
A translator who can turn complex analysis into actionable insights and recommendations for the business
Core Qualifications
8–10+ years’ experience in a healthcare-based analytics role, preferably in the health benefits space/insurance industry
Deep, hands‑on experience working with administrative healthcare data (medical and pharmacy claims)
Strong mathematical and statistical foundation, including comfort with quantitative reasoning, distributions, rates, and variability as applied to real-world healthcare data
Expert-level SQL skills, including building, optimizing, and validating complex analytical queries
Advanced proficiency in data visualization tools such as Tableau
Extensive experience in data cleaning, validation, and exploratory analysis using large, complex datasets
Strong understanding of analytical methods, including descriptive statistics, cohort analysis, risk assessment, trend analysis, and causal thinking
Strong analytic judgment: knowing which method to use, why, and when
Master’s degree in a quantitative/analytic field (or equivalent work experience)
Bonus Qualifications
Working knowledge of Python or R for analysis and data wrangling (advanced modeling not required)
Experience working with data from CRM systems, e.g., Salesforce
Familiarity with underwriting and actuarial risk assessments for healthcare insurance coverage
Familiarity with AWS Serverless Services and data tools, such as S3, Lambda, Glue, Sagemaker and EMR
Perks & Benefits
Fully paid medical, dental, and vision benefits
Flexible PTO
401k company contribution
Tuition reimbursement
Professional development allowance
Transportation allowance and daily parking reimbursement
Engaging hybrid work environment
Legal Disclaimers Disclosures: ParetoHealth is an Equal Opportunity Employer and does not discriminate on the basis of race, color, religion, gender, gender expression, age, national origin, disability, marital status, sexual orientation, or military status. These activities include, but are not limited to, hiring and firing of staff, selection of volunteers and vendors, and provision of services. We are committed to providing an inclusive and welcoming environment for all members of our staff, clients, volunteers, subcontractors, vendors, and clients.
#J-18808-Ljbffr
  • New York, New York, United States

Sprachkenntnisse

  • English
Hinweis für Nutzer

Dieses Stellenangebot stammt von einer Partnerplattform von TieTalent. Klick auf „Jetzt Bewerben”, um deine Bewerbung direkt auf deren Website einzureichen.