About The Position

Join athenahealth as a Senior Business Analytics and Insight Associate, where you will play a key role in transforming healthcare data into actionable insights. You will collaborate closely with cross-functional teams to support data-driven decision-making and report directly to the Analytics Manager. The Analytics team at athenahealth is responsible for developing and supporting performance analytics that empower business and operations leaders across multiple divisions. This team leverages data to identify trends, optimize processes, and drive strategic initiatives that enhance healthcare delivery. As part of this team, you will contribute to building scalable analytics solutions and fostering a culture of continuous improvement through data.

Requirements

  • Bachelor's degree in a quantitative field such as Statistics, Mathematics, Computer Science, or related discipline.
  • 2+ years of experience in data analytics or a related role.
  • Proficiency in SQL for data querying and manipulation.
  • Experience with R and Python for statistical analysis and data visualization.
  • Strong analytical and problem-solving skills.
  • Ability to communicate complex data insights clearly to non-technical audiences.
  • Familiarity with data visualization tools and techniques is a plus.

Responsibilities

  • Develop and maintain SQL queries and scripts to extract and manipulate data from various sources.
  • Analyze complex datasets using R and Python to generate insights and predictions that support business objectives.
  • Collaborate with stakeholders to understand analytics needs and translate them into technical requirements.
  • Create clear and concise reports, dashboards, and visualizations to communicate findings effectively.
  • Support the design and implementation of data models and analytics frameworks.
  • Monitor data quality and troubleshoot data discrepancies to ensure accuracy and reliability.
  • Participate in cross-functional projects to enhance analytics capabilities and business outcomes.
  • Assist in the documentation of analytics processes and methodologies.
  • Contribute to the development of training materials for analytics tools and best practices.
  • Support ad hoc data requests and exploratory analyses as needed.
  • Engage in continuous learning to stay current with emerging analytics technologies and techniques.
  • Collaborate with IT and data engineering teams to improve data infrastructure.
  • Participate in team meetings and contribute ideas for process improvements.
  • Support compliance with data governance and privacy policies.

Benefits

  • Health and financial benefits.
  • Commuter support.
  • Employee assistance programs.
  • Tuition assistance.
  • Employee resource groups.
  • Collaborative workspaces.
  • Flexibility for work-life balance.
  • Sponsorship of events including book clubs, external speakers, and hackathons.

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What This Job Offers

Career Level

Mid Level

Industry

Publishing Industries

Education Level

Bachelor's degree

Number of Employees

5,001-10,000 employees

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