Sr Business Insights Analyst (Property Claims)

Assurant•Atlanta, GA

1d•$74,600 - $124,700•Hybrid

About The Position

The Property Claims Business Intelligence Analyst analyzes and recommends technical solutions for complex projects to meet the needs of Claims and other impacted business areas. Will be responsible for defining and delivering the BI Strategy and ensure the successful delivery of Business Intelligence Solutions and Executive / Operational dashboards. The BI analyst will be a motivated self-starter building strong relationships with the business, IT and BI teams.

Requirements

Must have 3+ years of insurance claims experience
3+ years of direct client engagement experience and providing user insights directly to leadership
4+ years in business intelligence experience
3+ years of Business Intelligence Metrics & Reporting experience using Power BI
Intermediate knowledge of MS SQL – required for query, profiling and testing
Requires advanced knowledge of MS Word, Excel, and Access
Experience with Data Warehousing/Data Marts
Bachelor’s degree in Data Analytics, Business, or related field

Nice To Haves

Requires ability to communicate effectively both orally and in writing to management, team members, business and technology professionals
Requires the ability to work within tight time constraints on multiple complex risk projects or portions of higher risk projects
Requires the ability to collect, organize and process complex data and information from multiple sources, verify its accuracy, and effectively develop alternatives and logical relationships
Requires the ability to plan daily work activities to maintain a high level of personal productivity
Requires the ability to understand a customer’s business environment and to provide appropriate solutions
Must work with BI team to develop technical solutions and implement on-going business objectives consistent with the organization’s data analysis strategy
Quality is essential for the data maintained by the incumbent, since it is used by other members of the unit in support of the key enterprise strategy of claims management
Effectively interact with all levels of internal and external personnel to develop efficient specifications that meet customer requirements

Responsibilities

Acts as the customer / IT liaison during analysis, requirements definition and design activities
Develop and maintain an understanding of the business, business strategies and roadmap
Collaborates with business stakeholders to define and document business requirements and with technical staff to develop solution alternatives
Ensure that the project and service delivery teams and the business representatives have a clear expectation of reporting deliverables including priorities and timescales
Ability to set and achieve analytical and project objectives with minimal supervision, exhibit initiative, and motivation
Ensure that current and future reporting service requirements are identified, understood and documented
Support data processing activities to maintain, enhance, and implement effective and efficient solutions that meet business requirements
Assist in identifying and acquiring relevant data from external sources (e.g., XACT, DXC, Kwikwork) and guiding integration into internal systems as part of corporate initiatives such as system integrations, business acquisitions, and assumptions
Participate in data validation and user acceptance testing (UAT) to ensure data accuracy and alignment with business requirements
Collaborate with technical teams to clarify data needs and review outputs for quality and accuracy before delivery to customers
Provides support for business applications and data access needs, including managing user access to reporting platforms (e.g., DWH) and identifying, researching, and escalating data issues to the appropriate technical teams (e.g., DWH or DB2)
Trains others on the use of automated reports and supports knowledge transfer when work is transitioned (e.g., to GCC)
Assists in compiling and communicating system or business process changes as needed
Data Collection: Obtain relevant data from various sources, including databases
Analyze data and identify trends, patterns, and anomalies
Prepare detailed reports and presentations that summarize findings and provide actionable recommendations