Senior Business Data Analyst

You are a driven and motivated problem solver ready to pursue meaningful work. You strive to make an impact every day & not only at work, but in your personal life and community too. If that sounds like you, then you've landed in the right place.

The Hartford is looking for a driven and motivated Sr. Business Data Analyst to join our Middle Markets & Large Commercial Data Science team. The candidate will be part of our growing Data Science community providing analytical solutions to The Hartford’s portfolio of data assets. Our challenging business problems require our team members to be excellent problem solvers and have a robust skill set beyond technical requirements. We’re looking for someone energized to be a part of our purpose by providing clever ideas, delivering thoughtful solutions, and harnessing new-age technology.

The Hartford is proud to offer a hybrid work location model that is designed to support flexibility.

Overview of the Position

The Middle Markets and Large Commercial(MLC) Data Science team is committed to exploring new ways to use data and analytics to solve business problems.  The team utilizes a wealth of data, both internal and external, and predictive analytics in order to enhance claim outcomes, processes and the customer experience. 

As a Sr. Business Data Analyst, you will be an established thought leader through close partnerships with expert resources to aid in the design, development, and implementation data assets for a wide range of new initiatives in MLC. The role involves heavy data exploration, proficiency with SQL and Python, knowledge of service-based deployments and APIs, and the ability to discover and learn quickly through collaboration.  There is a need to think analytically and outside of the box while questioning current processes and continuing to build on the individual’s business acumen.

There will be a combination of team collaboration and independent work efforts.  This role involves interaction with data science partners as well as Middle and Large Commercial, Enterprise Data Office and IT partners. We seek candidates with strong quantitative background and excellent analytical and problem-solving skills. This position combines business and technical skills involving interaction with business customers, data science partners, internal and external data suppliers and information technology partners.

Responsibilities

• Identify and validate internal and external data sources for availability and quality. Work with SME’s to describe and understand data lineage and suitability for a use case.
• Performs requirements planning, monitoring and requirements management.
• Independently performs rigorous data analysis, data discovery and data profiling using industry standard querying tools to support business requirements development that are complete, clear, unambiguous, well written and appropriate to audience. 
• Maintains data mapping documents, bus matrix and/or other data design artifacts that define business data requirements and transformation rules. 
• Act as liaison and advisor/consultant between Data Science, MLC business, EDO,  and IT stakeholders providing thought leadership. 
• Acts as a change leader to help and drive implementation of industry best practices.
• Provides support and consulting by answering questions, researching possible solutions to complex problems, and fostering open communication between the customer and development team.  
• Identifies logical, relevant business, data relationships between complex topics in the broader context of own project or functional area.
• Identifies choices and improvement opportunities to better align own work with the direction and strategic priorities of the broader organization.

Qualifications

Candidates must have the technical skills to transform, manipulate and store data, the analytical skills to relate the data to the business processes that generates it, and the communication skills to document & disseminate information regarding the availability, quality, and other characteristics of the data to a diverse audience. These varied skills may be demonstrated through the following:

• Bachelor’s degree or equivalent experience in a related quantitative field.
• 3+ years experience with Agile work methodology.
• Experience accessing and retrieving data from disparate large data sources, by creating and tuning SQL queries. Understanding of data modeling concepts, data warehousing tools and databases.
• Experience with database technologies, specifically Snowflake, Oracle, and Apache Hive a plus.
• A working knowledge of the AWS platform a must.
• Ability to analyze data sources and provide technical solutions. Strong exploratory and problem-solving skills to check for data quality issues.
• Determine business recommendations and translate into actionable steps.
• Self-starter with curiosity and a willingness to become a data expert.
• Demonstrate a passion to both learn new skills and lead discovery of the data research.
• Results oriented with the ability to multi-task and adjust priorities when necessary. 
• Ability to work both independently and in a team environment with internal customers.
• Ability to articulate and train technical concepts regarding data to both data scientists and partners.
• Insurance Industry and/or knowledge of Actuarial Lifecycle a plus.
• Must be authorized to work in the U.S. without company sponsorship.

Compensation

The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford’s total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is:

$94,240 - $141,360

Equal Opportunity Employer/Females/Minorities/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age

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