Healthcare Data Analyst leading analytics projects to detect fraud for CMS. Collaborating with teams and utilizing data science for impactful solutions.
Responsibilities
Manage analytics and machine learning projects from kick-off to completion, ensuring their analytic rigor and include actionable results to detect and deter FWA
Guide junior team members in the completion of technical tasks while remaining hands on to analyze claims data and conduct advanced statistical analyses when needed
Use predictive modeling to increase and optimize efficiencies, process improvements, and other business outcomes
Partner with subject matter experts to deliver quality, actionable findings
Present complex analytics and insights in a comprehensible manner to a range of audiences (technical/non-technical) and to various levels of leadership
Identify opportunities for leveraging Medicare and Medicaid data to drive insightful FWA solutions
Advocate for and help implement best practices in data management and analytics to drive continuous improvement
Effectively communicate with team members while working remotely
Perform additional duties as assigned
Requirements
Bachelor of Arts/Bachelor of Science degree with an analytical or technical focus (i.e., Statistics, Computer Engineering, Applied Mathematics) or related area
Minimum of 5+ years of Medicid experience and conducting advanced analyses utilizing healthcare claims data for the use of fraud detection.
Ability to understand, simplify and explain data in business terms to technical and non-technical audiences
Proficiency in SQL and Python, with familiarity with R or Python for data science (including machine learning)
Familiarity with Databricks and/or Snowflake
Benefits
Our benefits package for all US-based employees includes a variety of medical plan options, some with Health Savings Accounts
dental plan options
vision plan
a 401(k) plan offering the ability to contribute both pre and post-tax dollars up to the IRS annual limits and receive a company match.
To encourage work/life balance, GDIT offers employees full flex work weeks where possible and a variety of paid time off plans, including vacation, sick and personal time, holidays, paid parental, military, bereavement and jury duty leave.
GDIT typically provides new employees with 15 days of paid leave per calendar year to be used for vacations, personal business, and illness and an additional 10 paid holidays per year.
The GDIT Paid Family Leave program provides a total of up to 160 hours of paid leave in a rolling 12 month period for eligible employees.
To ensure our employees are able to protect their income, other offerings such as short and long-term disability benefits, life, accidental death and dismemberment, personal accident, critical illness and business travel and accident insurance are provided or available. We regularly review our Total Rewards package to ensure our offerings are competitive and reflect what our employees have told us they value most.
Analyste des données clients chez EDC, société d’État aidant les entreprises canadiennes à réussir à l’étranger. Modernisation des pipelines, tableaux de bord et solutions analytiques marketing.
Customer Data Analyst modernizing EDC’s customer data ecosystem at Canada’s export - finance Crown corporation. Building Microsoft Fabric pipelines, Power BI assets, and marketing analytics solutions.
Senior Data Analyst building trusted financial metrics, dbt models, and Looker dashboards for Jane’s clinic - management SaaS platform. Partnering with Finance and Payments to guide critical decisions.
Digital media specialist improving campaign tracking, reporting and analytics at a Toronto marketing technology lab. Automating insights with AI while maintaining data quality and measurement accuracy.
Data Analytics Intern analyzing new features and updates for Montreal - based mobile gaming studio Ludia. Building data modules, dashboards, and insights to optimize game operations.
Senior Data Analyst transforming Sun Life insurance and financial - services data into actionable marketing insights. Building SQL, Python, AWS, Adobe Analytics, reporting, and dashboard solutions.
Student Data Analyst supporting Sun Life’s financial security mission through stakeholder insights and Tableau KPI reporting. Building data analysis skills during a four - month hybrid campus placement.
Analyste de données principal modernisant les plateformes et pipelines de données d’EDC, société financière publique canadienne. Traduction des besoins opérationnels en modèles, règles de transformation et récits utilisateurs.
Senior Data Analyst modernizing enterprise data capabilities at Export Development Canada. Translating business requirements into data models, mappings, pipelines and Agile delivery artifacts.