Senior Data Analyst
About The Position
The Senior Data Analyst will support our Insurance Sales, Service, and Operations teams. This individual will utilize data analytics, analysis, & reporting to provide key stakeholders with the information needed to make strategic business decisions and develop unique solutions to enhance our Agency's growth. The primary duties of the Senior Data Analyst are to: Establish data analytics processes, roles, quality criteria, and performance metrics to support Agency leadership in achieving performance objectives. Identify, develop, and implement scalable data strategy, self-service tools, and workflow automation. Analyze and report data associated with sales, service and operational effectiveness, member retention, and project/product performance. Identify and evaluate the business value of new and existing data sources and uncover significant trends that will affect the organization in optimizing business decisions. Ensure the quality and accuracy of data results and analytic methods through the establishment of testing and validation procedures and best practices. Participate in the evaluation of new technology, and vendor selection processes. Prioritize, scope, and recommend enterprise integrations and key performance indicators (KPIs) for projects across multiple business lines. Participate in project plans, timelines, and deliverables, and manage Agency resources. Advocate for data analytics practices and technology to senior stakeholders. Select and implement (or oversee implementation) all data analytics tools and frameworks. Execute quality controls and testing for ensuring project deliverables meet user expectations. Working with Enterprise counterparts to assure the Agency complies with the data governance framework.
Requirements
- Bachelor's degree (BS/BA) or equivalent in Insurance, Business Administration, or related field, with at least 4 years experience in an analytics or technical project management environment, or the equivalent combination of education and work experience.
- Proficient in analytics tools such as SQL, Excel, R, Tableau or PowerBI, Python, Adobe, or Google Analytics.
- Proficiency with call center data analytics and analysis (speech, text, cross-channel, predictive, and performance).
- Conduct in-depth analyses of data to identify trends, patterns, and relationships, and summarize findings clearly and concisely for both technical and non-technical audiences.
- Exceptional analytical, communication, critical thinking, and problem-solving capabilities
- Work with project teams to understand the business objectives of each project and ensure that data analytics is used to its fullest potential to achieve these goals
- Develop detailed reports and presentations to communicate results of data analysis to key stakeholders, providing recommendations for further action based on findings
Responsibilities
- Establish data analytics processes, roles, quality criteria, and performance metrics to support Agency leadership in achieving performance objectives.
- Identify, develop, and implement scalable data strategy, self-service tools, and workflow automation.
- Analyze and report data associated with sales, service and operational effectiveness, member retention, and project/product performance.
- Identify and evaluate the business value of new and existing data sources and uncover significant trends that will affect the organization in optimizing business decisions.
- Ensure the quality and accuracy of data results and analytic methods through the establishment of testing and validation procedures and best practices.
- Participate in the evaluation of new technology, and vendor selection processes.
- Prioritize, scope, and recommend enterprise integrations and key performance indicators (KPIs) for projects across multiple business lines.
- Participate in project plans, timelines, and deliverables, and manage Agency resources.
- Advocate for data analytics practices and technology to senior stakeholders.
- Select and implement (or oversee implementation) all data analytics tools and frameworks.
- Execute quality controls and testing for ensuring project deliverables meet user expectations.
- Working with Enterprise counterparts to assure the Agency complies with the data governance framework.
Benefits
- The starting base compensation for this position is $69,370 to $100,000 annually.
- Actual pay will be adjusted based on experience, geographic location, and other job-related factors as permitted by law.
- This position is eligible to participate in our Annual Bonus Program with a target bonus percentage of 5%.
- 8 Paid Company Holidays
- Nearly 4 weeks of Paid Time Off
- 401(k) plan with company match up to 7%
- Medical, Dental, Vision & Prescription Coverage
- Tuition reimbursement
- Complimentary AAA Membership
- FREE Life Insurance
- Medical, Dental, and Vision plan options
- Up to 2 weeks Paid parental leave
- 401k plan with company match up to 7%
- 2+ weeks of PTO within your first year
- Paid company holidays
- Company provided volunteer opportunities + 1 volunteer day per year
- Free AAA Membership
- Continual learning reimbursement up to $5,250 per year
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Number of Employees
101-250 employees
