Mid Level Business Intelligence Analyst – Member Value

Role Overview

• 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.

Tech Stack

• Hadoop
• NoSQL
• SQL
• Tableau

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