Lead Data Analyst

Yesterday

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Mindoula

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2015

⚕️ Healthcare Insurance

🧘 Wellness

Description

• Guide your team in developing impactful data visualizations and reports, while establishing standards for how we present findings to leadership and stakeholders. • You'll also be hands-on in creating complex analyses and dashboards for our highest-priority initiatives. • Lead the expansion of our business intelligence capabilities, both by writing key SQL scripts yourself and by teaching others how to become self-sufficient with our tools. • Direct the development of our core SQL queries and data pipelines, combining hands-on development with ensuring your team follows best practices for data accuracy and scalable solutions. • Shape the direction of our exploratory analyses, diving deep into the data yourself while helping your team identify which business and clinical questions matter most. • Set quality standards for data validation across projects, actively participate in complex validations, and mentor team members in developing robust validation processes. • Build strong partnerships with department leaders to understand their needs, while helping your team learn how to translate business requirements into effective analyses. • Create and maintain clear documentation standards, fostering a culture of knowledge sharing and establishing processes that help your team work more effectively together.

Requirements

• Bachelor's in a relevant field such as Statistics, Mathematics, Computer Science, or a related quantitative discipline; Master's degree preferred. • Proven experience (7+ years) in data analytics, with 3+ years leading analytics teams or major initiatives, preferably in healthcare. • Deep expertise in SQL and experience implementing business intelligence solutions across an organization, with strong knowledge of relational databases (e.g., MySQL, PostgreSQL). • Advanced proficiency in data visualization tools such as Tableau, Power BI, Looker, or SuperSet, with experience training others and establishing visualization standards. • Strong programming skills in scripting languages (e.g., Python, R) for data manipulation and analysis, with the ability to review and improve team members' code. • Track record of leading complex analytical projects and coaching teams to deliver meaningful insights that drive business decisions. • Experience establishing and maintaining data validation frameworks and teaching best practices to ensure data quality across a team. • Outstanding communication skills, with demonstrated success presenting to executive stakeholders and building relationships across departments. • Proven ability to prioritize competing demands, delegate effectively, and guide team members while maintaining high standards for deliverables.