Senior Insights Analyst (Healthcare)

Overview

The Senior Insight Analyst is part of our Operational Insights team and will lead the analysis of complex data sets to provide actionable insights and strategic recommendations that drive business growth and optimize performance. This is a key role in guiding the data analysis process, mentoring junior analysts, and collaborating with stakeholders across the organization to identify opportunities and implement data-driven solutions. This position would act as a subject matter expert on the team.

Analysts contribute to the organization's success by providing insights and recommendations that inform strategic decision-making and drive business growth. The insights team operates as an internal consulting group to supply, manage, and analyze overpayment recovery data for use in assigning actions needed, as well as recommending organizational efficiency improvements across all post-production areas.

Responsibilities

Mentoring:

• Provide strategic guidance and mentorship to junior analysts, fostering their professional growth and development.
• Act as a subject matter expert on data analysis techniques, tools, and methodologies, providing guidance and training to colleagues as needed.
• Create and document training materials based on key functionality across the application. Monitor standard operating procedures for revisions.

Data Analysis and Interpretation:

• Utilize advanced analytical techniques to uncover trends, patterns, and correlations within large and diverse data sets.
• Interpret analysis results and translate them into actionable recommendations for business stakeholders.
• Interpret data to identify business trends, conduct root cause analysis of business problems/bottlenecks, or suggest areas for process improvement.
• Design and implement data visualization dashboards and reports to effectively communicate insights to stakeholders at all levels of the organization.
• Conduct deep-dive analysis and root cause investigations to address complex business challenges and opportunities.
• Lead the development and execution of data analysis projects, from data collection to insights generation and presentation.
• Generate actionable insights by synthesizing data analysis findings with industry knowledge and business context.

Market Research and Competitive Analysis:

• Conduct market research to identify industry trends, consumer behavior, and competitive landscape
• Perform competitive analysis to benchmark against industry peers and identify opportunities for differentiation.
• Stay current with emerging trends and best practices in data analysis, business intelligence, and industry-specific knowledge.
• Lead the evaluation and adoption of new tools, technologies, and methodologies to enhance the efficiency and effectiveness of the analytics function.

Cross-functional Collaboration:

• Collaborate with cross-functional teams including marketing, sales, product development, and finance to understand business objectives and priorities.
• Work closely with business stakeholders to define analytical requirements and tailor insights to meet their needs.
• Collaborate with cross-functional teams to understand business objectives, identify key performance indicators (KPIs), and prioritize analytical initiatives.
• Present findings, recommendations, and insights to senior leadership and key stakeholders in a clear, concise, and compelling manner.
• Solicit requirements and Service Level Agreements (SLAs) from key stakeholders for ad hoc and/or complex reporting requests.

Data Governance and Compliance:

• Adhere to data governance policies and ensure compliance with data privacy regulations and industry standards.
• Safeguard sensitive data and ensure appropriate access controls are in place to protect data integrity and confidentiality.

Qualifications

• Bachelor’s degree in business administration, Economics, Statistics, Mathematics, Computer Science, or related field is required, or an equivalent combination of education and/or relevant experience.
• Minimum of 5 years of related experience.
• Proven experience in data analysis, business intelligence, or a related field, with a minimum of 5 years of relevant experience.
• Expertise in data manipulation, statistical analysis, and data visualization techniques, with proficiency in tools such as SQL, Python, R, Tableau, or Power BI.
• Experience with data governance, data quality management, and data security best practices.
• Strong leadership and mentoring skills, with the ability to effectively guide and support a team of analysts.
• Excellent comm