Senior Business Analyst at MEDEANALYTICS INC

, , United States -

Full Time

Start Date

Immediate

Expiry Date

05 Jan, 26

Salary

120000.0

Posted On

07 Oct, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Client-Facing Consulting, Business Analyst, Healthcare Data Sets, Python, SQL, Cloud Data Platforms, Data Integration Protocols, JIRA, Microsoft Suite, Data Modeling, Analytics Design, Exploratory Data Analysis, Troubleshooting, Data Quality, Client Satisfaction, Technical Specifications

Industry

Software Development

Description

Founded in 1993, MedeAnalytics is an innovation-focused company. Over the past three decades, we have worked tirelessly to reimagine healthcare through the power of data—and helped thousands of organizations achieve their potential along the way. Leveraging state-of-the-art analytics and data activation, MedeAnalytics delivers actionable insights that support payers, providers, employers, and public entities as they navigate the complex healthcare landscape. Using artificial intelligence and machine learning alongside the most advanced data orchestration in the industry, we empower organizations to optimize their resource allocation, experience superior patient outcomes, and achieve population health management goals. And that’s just the beginning. With a deep understanding of the complex challenges facing the healthcare industry, MedeAnalytics offers a comprehensive suite of solutions to address key areas such as: Population Health Management: Gain insights into patient populations, identify at-risk individuals, and implement targeted interventions to improve health outcomes. Value-Based Care: Optimize care delivery, reduce costs, and enhance patient satisfaction by aligning with value-based care models. Revenue Cycle Management: Streamline revenue cycle processes, improve reimbursement rates, and minimize denials. And more… MedeAnalytics is committed to delivering cutting-edge technology and exceptional customer service. Our team is passionate about transforming healthcare and making a positive impact on the lives of patients. The Senior Business Analyst is a critical client-facing role that will implement cloud-based big data analytic solutions for MedeAnalytics’s healthcare payer and provider clients. This role blends strategic consulting, technical data integration, and dimensional modeling to help clients unlock the full value of their data in cloud-based analytics platforms. You will guide clients through landing data in the cloud (e.g., via SFTP, API, S3 buckets), trace data lineage, join disparate datasets, and design metrics, cubes, and dimensions that align with their business models. You will play a key role in onboarding new clients, translating business requirements into scalable data solutions, and ensuring a smooth transition into our analytics ecosystem. In addition to leading implementations, you will serve as a trusted partner post-go-live, supporting clients’ day-to-day analytics needs, troubleshooting data issues, and identifying opportunities for optimization and enhancement. As a senior contributor, you will be looked upon to drive internal optimizations, efficiencies, and strategic initiatives, contributing to product and platform evolution, process improvement, and cross-functional collaboration. Key Responsibilities: Client Leadership & Strategy Act as the primary point of contact for client onboarding, production support and analytics strategy. Conduct client-facing meetings to gather and document detailed business requirements. Translate business needs into technical specifications and data requirements. Recommend optimal metrics, dimensions, and cube structures tailored to payer or provider use cases. Build collaborative partnerships with internal and external stakeholders. Data Integration & Technical Enablement Guide clients through secure data ingestion using SFTP, REST APIs, and AWS S3 buckets. Collaborate with engineering teams to ensure successful data landing and transformation in cloud platforms (AWS, Snowflake, Trino). Join and reconcile disparate datasets and trace data lineage from source to target. Collaborate with technical team members to develop or enhance Python scripts used in data validation, transformation, and automation. Maintain thorough documentation of client-specific configurations and data flows. Analytics Design & Modeling Design dimensional models and OLAP cubes for healthcare analytics (e.g., cost/utilization, risk adjustment, quality). Support dashboard/report development using tools like Tableau, Power BI, or Looker. Perform exploratory data analysis to uncover insights and support client decision-making. Post-Go-Live Support & Optimization Respond promptly to client inquiries in a professional manner. Troubleshoot data issues and coordinate resolution across engineering and testing teams. Identify opportunities for optimization in data pipelines, reporting structures, and metric definitions. Lead internal initiatives to improve onboarding processes, data quality, and client satisfaction. Essential Skills, Experience and Education: Bachelor’s degree or equivalent experience required. Minimum 5 years client-facing consulting, Business Analyst, or Client Service experience; SaaS experience strongly preferred. Strong understanding of healthcare industry terminology (e.g., ACGs, diagnosis codes, claims, transactions). Experience working with healthcare data sets and/or provider network systems. Proficiency in Python (e.g., pandas, requests, boto3) and SQL. Experience with cloud data platforms (AWS, Snowflake, Trino). Familiarity with data integration protocols (SFTP, REST APIs, cloud storage). Experience with JIRA or other ticket-based tracking systems. Skilled in Microsoft Suite (Excel, Word, PowerPoint, SharePoint, Teams). Excellent oral and written communication skills. Additional Information: MedeAnalytics believes in fair and equitable pay. A reasonable estimate of the base salary range for this role is $100,000 – $120,000 USD. While this position is not bonus-eligible, it is part of our comprehensive total rewards program, which includes competitive benefits and opportunities for professional growth. Please note that actual compensation for all roles may vary within the range, or be above or below the range, based on factors including, but not limited to, education, training, relevant work experience, professional achievements/qualifications, skill level, business need, location and will be finalized at the time of offer. Benefits Include: Comprehensive Medical, Dental, and Vision Coverage – Effective the first of the month following your start date Company-Paid Life & AD&D Insurance, plus Short-Term and Long-Term Disability (STD/LTD) Company-Paid Employee Assistance Program (EAP) premium tier for your wellbeing 401(k) Plan with company match Paid Holidays and Paid Time Off (PTO) Accruals Employee Referral Bonus Program Professional Development Opportunities to support your growth And More! We are committed to equal employment opportunity regardless of race, color, ethnicity, ancestry, religion, national origin, gender, sex, gender identity or expression, sexual orientation, age, citizenship, marital or parental status, disability, veteran status, or other class protected by applicable law. We are proud to be an equal opportunity workplace. ** At this time, we are unable to provide or transfer sponsorship; candidates must be authorized to work in the country where this position is located and cannot require sponsorship now or in the future. At MedeAnalytics we deeply value each and every one of our committed, inspired and passionate team members. If you're looking to make an impact doing work that matters, you're in the right place. Help us shape the future of healthcare by joining #TeamMede. MedeAnalytics does not utilize any outside vendors/agencies. Please no unsolicited phone calls or invites.

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Responsibilities

The Senior Business Analyst will implement cloud-based big data analytic solutions for healthcare clients, guiding them through data integration and analytics strategy. This role involves onboarding new clients, translating business requirements into data solutions, and providing ongoing support post-implementation.