Business Analytics and Insight Associate

athenahealth is committed to creating a thriving ecosystem that delivers accessible, high-quality, and sustainable healthcare for all. The Business Analytics & Insight Associate will develop and support performance analytics, define and deliver reporting on key performance indicators, and engage in machine learning projects to enhance predictive analytics.

Responsibilities:

• Create and optimize KPI definitions and report on trends and performance on an ongoing basis, highlighting key insights to business partners and partner on defining opportunities to improve outcomes
• Produce standard metric reports and packages for ELT and BoD reviews on a monthly and quarterly basis
• Collaborate on machine learning initiatives to develop predictive models
• Assist in the evaluation and deployment of ML models into business processes to enhance decision-making and operational efficiency
• Deliver on ad hoc projects and analyses aimed at improving commercial or operational performance and key business results
• Support governance of metric definitions and associated datasets by owning ongoing documentation and socialization of changes
• Participate in initiatives to develop and mature the corporate reporting framework (anything from creating new metrics to defining datamart architecture)
• Actively participate in athena’s annual planning process. Develop forecast/budget models for key operational and growth performance measures, participate in goal-setting, identify cross-functional dependencies, etc
• Manage ongoing end-user training on business-facing dashboards and own delivery of enhancements/bug fixes

Requirements:

• Bachelor's degree preferred; equivalent experience in business intelligence will be considered
• 0–3 years of experience in business intelligence, data modeling/analysis, management consulting, corporate finance, or other analytical/business-strategy roles
• Proficiency with Microsoft Excel and other Office tools (Outlook, Word, PowerPoint) for analysis, reporting, and stakeholder communication
• Strong analytical skills and a demonstrated desire to tackle unstructured or distributed data to uncover insights and drive action
• Excellent verbal and written communication skills, with experience presenting data to non-analytical audiences
• Experience working in or supporting B2B SaaS or other high-tech customer organizations
• Technical coursework or experience with programming languages and query tools (e.g., Python, R, SQL)
• Experience with statistical modeling, machine learning techniques, data mining/modeling, and/or financial modeling
• Experience with BI and visualization tools (e.g., Power BI, Tableau)