Independently participates in gathering complex business requirements by partnering with customers to define the business problem and data needs.
Utilizes an intermediate understanding of multiple data structures and sources to lead the development and implementation of business intelligence solutions, which may include data visualization, data transformation, or data collection.
Works closely with IT execution teams on the development of analytic infrastructures, data engineering, or related business intelligence efforts.
Includes collaborating on the design and implementation of technical standards and governance practices.
Applies data visualization best practices - often selecting the right data 'tool for the job' - to identify and interpret trends or patterns while following standard Enterprise branding.
Understands the value of prototyping, usability, and the end-user experience to maximize the impact of the final data visualization product (dashboard, report, insight, or analysis).
Acts as a trusted data visualization advisor to the stakeholder/end-user in order to drive business value.
Develops advanced knowledge to influence relevant data, information, and application architecture decisions.
Actively participates in industry, COE, or other discipline-relevant groups/panels to keep abreast of industry trends and share best practices with team.
Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures.

Requirements

Bachelor's degree in quantitative analytics field such as Economics, Finance, Statistics, Mathematics, Actuarial Sciences, Operations Research, Data and/or Business Analysis, Data Science or other business-related discipline; OR 4 years of related experience in statistics, mathematics or quantitative analytics or related experience (in addition to the minimum years of experience required) may be substituted in lieu of degree.
4 years of experience in data/analytics or functional business experience within the respective industry of responsibility (i.e.P&C, Bank, Finance, etc.) OR advanced degree in quantitative analytics field such as Economics, Finance, Statistics, Mathematics, Actuarial Sciences, Operations Research, Data and/or Business Analysis, Data Science or other quantitative discipline with 2 years experience in data/ analytics or functional business experience within the respective industry of responsibility (i.e.P&C, Bank, Finance, etc.).
Experience identifying and implementing innovative approaches to address business problems and solutions.
Experience developing business deliverables that leverage business intelligence platforms, data management platforms, or SQL-based languages (Tableau, Business Objects, Snowflake, Hadoop, Netezza, NoSQL, ANSI SQL, or related).
Proven ability to build business knowledge through meaningful partnerships at the individual contributor, leadership, and EMG levels.
Demonstrated advanced communication skills with the ability to deliver presentations to all levels of management.
Demonstrated ability to embed intuitive story telling within business intelligence solutions.

Benefits

comprehensive medical, dental and vision plans
401(k)
pension
life insurance
parental benefits
adoption assistance
paid time off program with paid holidays plus 16 paid volunteer hours
various wellness programs
career path planning and continuing education

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

data visualizationdata transformationdata collectiondata engineeringdata architectureSQLTableauBusiness ObjectsSnowflakeHadoop

Soft Skills

communicationcollaborationproblem-solvingstorytellingadvisoryrisk managementuser experienceinfluencepresentation skillspartnership building