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Client Engagement Manager
Brown & Brown InsuranceBusiness Intelligence Analyst leveraging data analytics to drive business solutions in pharmaceutical transactions. Collaborating with stakeholders to create data visualizations and insights.
Tech Stack
Tools & technologiesSQLTableau
About the role
Key responsibilities & impact- Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.
- Analyze and synthesize data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies.
- Develop custom data models & algorithms and create data visualizations (reports and dashboards) to support user stories and drive actionable insights.
- Drive discussions on data and insights, context, and implications with business and technology partners.
- Identify, design, and implement internal process improvements & best practices such as automation of manual processes, optimization of data models and re-design of visualization for greater scalability.
- Implement observability tools that will allow for tracking of data quality, users & performance and to enable strategic planning of product enhancements & process improvements.
- Perform root cause analysis on logic changes & bug identification to identify opportunities for product improvement.
- Create and maintain product-related documentation (e.g. project plans, business & technical requirement documents, etc.).
- Communication of technical specifications to ensure that proper and optimized techniques, queries, and final deliverables are understood and incorporated into data and analytics processes.
- Comply with and adhere to all regulatory compliance areas, policies and procedures (including HIPAA requirements), and "leading practices".
- Responsible for mentorship of junior team members.
- Serve as technical liaison to business users.
- Contribute to innovative strategies by exploring, investigating, and implementing new data-centric analytics representing industry changes.
Requirements
What you’ll need- B.S. Computer Science, Business Analytics or similar field.
- 5+ years of relevant working experience within data analytics field.
- Adept in Tableau or similar data visualization and analytics tools.
- Working SQL knowledge and experience with relational databases & query authoring (SQL).
- Maintain in-depth understanding of relevant data analytics best practices and display expertise with tools needed to debug and diagnose issues.
- Ability to thrive in a fast-paced environment, responding quickly to oversight and following instruction closely, while anticipating needs and developing efficiencies on repeat tasks.
- Must be able to adapt to change in direction and priorities in a project and deadline-oriented environment.
- Strong sense of project ownership and the ability to manage high project volume effectively.
- Excellent problem-solving, critical thinking and analytics skill with the ability to work in a cross-functional team.
- Quick self-motivated learner who can initiate and drive new projects in anticipation of management and client goals and objectives with little or no supervision.
- Outstanding verbal and written communication skills with experience in developing and maintaining effective, collaborative working relationships with clients and internal stakeholders.
- Self-directed and comfortable supporting the business needs of multiple teams, systems and products.
- A drive to learn and master new technologies and techniques.
Benefits
Comp & perks- Health Benefits : Medical/Rx, Dental, Vision, Life Insurance, Disability Insurance
- Financial Benefits : ESPP; 401k; Student Loan Assistance; Tuition Reimbursement
- Mental Health & Wellness : Free Mental Health & Enhanced Advocacy Services
- Beyond Benefits : Paid Time Off, Holidays, Preferred Partner Discounts and more.
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
data analysisdata modelingalgorithm developmentdata visualizationSQLroot cause analysisprocess improvementautomationdata quality trackingdebugging
Soft Skills
communicationproblem-solvingcritical thinkingproject ownershipadaptabilityself-motivationcollaborationmentorshiptime managementinitiative