Data Analytics Manager

Central Insurance•Van Wert, OH

1d•Hybrid

About The Position

Central Insurance is seeking a Data Analytics Manager to lead a high‑impact team responsible for delivering data‑driven insights and advancing enterprise data capabilities. In this role, you will oversee the development of analytics solutions, data models, and data architecture that enable informed decision making and support key business initiatives across the organization. This position is ideal for a strategic leader who can translate complex business needs into actionable data solutions while developing talent and driving performance. You will help usher in the use of AI to enhance regulatory reporting and analytics, shaping how data is leveraged by ensuring consistency, quality, and innovation while building strong partnerships and fostering a high‑performing, collaborative team environment.

Requirements

Masters’ degree in Computer Science or related field and 2 years related experience
Or Bachelor’s degree in Computer Science or related field and 4 years related experience
Or 6 years related experience
Experience analyzing large structured and unstructured datasets
Experience defining data architectures to support data visualization tools
Experience defining data architectures to support semantic data layers
Experience with cloud environments
Experience with Big Data technologies
Understanding of leadership skills, including coaching, team-building, and conflict resolution
Project management skills including time and risk management, resource prioritization, and project structuring
Strong analytical and problem-solving skills
Strong verbal and written communication skills, including negotiation, presentation, and influence skills
Strong multi-tasking and prioritization skills
Proven ability to deliver on commitments
Comfortable working in a fast-paced, results-oriented environment
Business process acumen and ability to map processes to data models and architectures
Demonstrated ability to develop structured analysis that support data architecture design
Solid understanding of various database management systems
Working understanding of Agile methodologies and principles
Ability to understand Central Insurance’s policies and processes

Responsibilities

Oversees a team of Data Analysts responsible for assisting the enterprise Information Technology organization with construction of data warehouses by building and delivering data models and data mining applications for business units.
Analyze and validate financial data; identify trends, discrepancies, and anomalies
Lead the preparation and submission of regulatory reports accurately and on time
Establishes operational objectives, policies, procedures, and work plans and delegates assignments to the team(s)
Manage the data analysis and design of analytics products across a focused area of the Central Insurance business value stream to enable data driven business decisions that will drive performance and lead to the accomplishment of annual goals
Translate complex business requirements into data requirements and work with internal customers to define data requirement details based on expressed partner needs
Lead structured, end-to-end analysis to inform product strategy, data architecture, and reporting decisions
Analyze existing datasets and interfaces to understand and document current state data architectures
Design future state data architectures by applying data requirements, data profiles and business rules to current state architectures in alignment with best practices and standards
Drive data architecture that enforces consistency across the data landscape with an emphasis on single sources of truth
Perform extensive data profiling to understand data behavior and business rules
Thoroughly document data architecture solutions, business requirements, training material and business processes for both business and technical audiences
Drive adoption of and socialize data products with end users through user training
Leverage frameworks for repeatable validation of data integrity within data products supporting accurate and consistent reporting and analytics
Support standard methodologies in data analysis: data integrity, unit testing, data quality control, system integration testing, modeling, validation, and documentation
Adequately staff the Data Analytics team while adhering to the analytics budget
Lead and develop others by building skills through coaching, mentoring, and ongoing training & development
Foster strong and meaningful relationships within the team, across the organization, and with corporate partners
Meet with stakeholders to understand needs and provide insights that help meet profit, growth, and expense goals