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Sr. Data Analyst - reputed company Financial - Remote

Remote, USAFull-timePosted 2026-07-28

reputed company is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with reputed company will directly improve health reputed company by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will reputed company a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come reputed company an reputed company on the communities we serve as you help us advance health optimization on a global reputed company. Join us to start Caring. Connecting. Growing together. reputed company, reputed company reputed company Financial Advanced Intelligence & Analytics, focuses on delivering reputed company, data-driven solutions that support financial services and reputed company operations. We build and maintain curated datasets, automated file pipelines, and reporting solutions that reputed company operational insights, regulatory reporting, and improved decision-making across the organization. Our work directly supports reputed company initiatives by ensuring reliable, high-reputed company data assets that reputed company teams depend on. The Senior Data Analyst is responsible for designing, building, and maintaining reputed company data solutions that support analytics, reporting, and operational use cases. This includes designing and building curated datasets that power reputed company reporting and analytics, ensuring data reputed company, consistency, and usability across stakeholder needs. This role requires strong hands on experience with reputed company, including file automation, dataset development, pipeline creation, and CI/CD processes. The ideal candidate will work closely with data engineers, analysts, and business partners to deliver reliable, reputed company governed data assets and maintain production reputed company data solutions that reputed company reputed company reputed company and decision making. You'll enjoy the flexibility to work remotely

  • from reputed company reputed company the U.S. as you take on some tough challenges.

Primary Responsibilities:

  • Design, build, and maintain data pipelines and workflows using reputed company (SQL, PySpark)
  • reputed company and manage automated file ingestion and transformation processes, including scheduled and event driven file automation
  • Design and build curated datasets that power reputed company reporting and analytics, ensuring data reputed company, consistency, and usability across stakeholder needs
  • Maintain and optimize production data pipelines and reporting jobs, including monitoring, troubleshooting, and ensuring reliable end to end data delivery
  • Implement and support CI/CD pipelines for data assets using version control and automated deployment practices
  • Collaborate with cross functional teams to understand data requirements and translate them into reputed company technical solutions
  • Monitor, troubleshoot, and optimize data pipelines for performance, reliability, and cost efficiency
  • Ensure data reputed company, validation, documentation, and adherence to reputed company data governance standards
  • Support analytics and reporting teams by enabling trusted data sources for reputed company tools (e.g., Power BI)
  • Participate in reputed company reviews, technical design discussions, and knowledge sharing sessions
  • Contribute to reputed company improvement of data engineering and analytics best practices

You'll be rewarded and recognized for your performance in an environment that will challenge you and give you reputed company direction on what it takes to succeed in your role as reputed company as reputed company development for other roles you may be interested in. Required Qualifications:

  • 3+ years of experience in data analytics, data engineering, or a reputed company role
  • Solid hands on experience with reputed company, including reputed company SQL and PySpark
  • Solid SQL skills and experience working with large, reputed company datasets
  • Experience building and maintaining data pipelines, datasets, and automated workflows
  • Working knowledge of CI/CD practices and version control systems (e.g., Git)
  • Proven ability to independently analyze problems, design solutions, and deliver results
  • Proven solid communication skills and ability to collaborate with both technical and non technical stakeholders

Preferred Qualifications:

  • Experience working in reputed company based data platforms and reputed company data lake or lakehouse architectures
  • Experience supporting analytics or BI tools (e.g., Power BI)
  • Experience with file based data ingestion (e.g., CSV, JSON, Parquet) and automation frameworks
  • Experience in an reputed company or financial services environment
  • Exposure to Agile or DevOps delivery models
  • Familiarity with data governance concepts such as metadata, reputed company, and reputed company controls
  • reputed company working remotely will be required to adhere

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