Data Operations Analyst II

R1 RCM

. Own complex client implementations from a data perspective - acquiring, importing, validating data and preparing proprietary systems and platforms ready for go-live.

Posted 5/6/2026full-timeRemote • New Jersey • 🇺🇸 United StatesMid-LevelSenior💰 $65,500 - $121,106 per yearWebsite

Tech Stack

Tools & technologies

SQLSSIS

About the role

Key responsibilities & impact

Own complex client implementations from a data perspective - acquiring, importing, validating data and preparing proprietary systems and platforms ready for go-live.
Engage with internal project team members during implementation projects.
Manage the relationship between client IT to collaboratively work towards data that meets data specifications.
Apply a deep understanding of healthcare data to solve problems for internal and external stakeholders.
Serve as a technical mentor to Data Operation Analysts on the team.
Data research and analysis – writing queries, analyzing results, and identifying trends.
Create reports around system performance (rules engine), client data trends and other business needs.
Communicate/present research results to non-technical stakeholders (both internal and external).
Script and automate data-related processes.
Resolve data duplication, ensure data received satisfies operational requirements spanning multiple service lines and solutions.
Perform analysis of data acquired into Data Lake.
Stakeholder management, request handling.
Utilize Salesforce for tracking work and deliverables.

Requirements

What you’ll need

Demonstrated ability to learn and master new tools and processes.
Ability to identify problems and ideate on how to improve/fix issues impacting the team and/or clients.
Intellectual curiosity.
Analytical and problem-solving skills.
SQL (or similar) and SSIS mastery.
Ability to partner and collaborate closely with both internal and external project/operational stakeholders and provide excellent communication to both technical and nontechnical stakeholders and teams.
Familiarity/comfortability managing data pipelines.
Ability to apply best practices and contribute to documentation.
Detail-oriented, organized, exercise good judgement, ability to manage multiple projects and prioritize own work.
Identify/escalate issues to other teams (e.g., Product/Engineering) in a collaborative way.

Benefits

Comp & perks

Competitive benefits package
Annual bonus plan at a target of 10.00%

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

SQLSSISdata analysisdata validationdata automationdata researchdata pipeline managementreport creationdata duplication resolutionData Lake analysis

Soft Skills

analytical skillsproblem-solving skillscommunication skillsstakeholder managementdetail-orientedorganizational skillsjudgmentcollaborationintellectual curiosityability to prioritize