Analytics Engineer Senior

Salary

The salary range for this position is: $99,160 - $189,530.

As a dedicated Analytics Engineer Senior, you will analyze complex business problems and issues using data from internal and external sources to provide insight to analysts and decision makers. Identifies and interprets trends and patterns in datasets to locate influence. Builds specifications for reports and analysis based on business needs and required or available data elements. May participate in consultation to users and lead multi-functional teams to address business issues. Prototypes’ solutions for displaying information based on business needs.

We offer a flexible work environment that requires an individual to be in the office 4 days per week. This position can be based in one of the following locations: San Antonio, TX, Plano, TX, Phoenix, AZ, Colorado Springs, CO, Charlotte, NC, Chesapeake, VA or Tampa, FL. Relocation assistance is not available for this position. This position can work remotely in the continental U.S. with occasional business travel.

What you'll do:

Leads and participates in gathering sophisticated and often outstanding business requirements by partnering with customers to define the business problem and data needs.
Applies a sophisticated 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.
Strategically partners and works 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 standard processes - 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 improve the impact of the final data visualization product (dashboard, report, insight, or analysis).
Acts as a trusted data visualization advisor to the team member/end-user to drive business value. Provides system thinking to influence relevant data, information, and application architecture decisions.
May serve as an Agile champion who is responsible for the methodology, execution, and team education on standard processes.
May provide internal team leadership by providing mentorship on business intelligence tools, techniques, and processes.
Actively participates in industry, COE, or other discipline-relevant groups/panels to stay on top of industry trends and share standard processes with team.
Ensures risks associated with business activities are effectively identified, measured, supervised, and controlled in accordance with risk and compliance policies and procedures.

What you have:

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 (in addition to the minimum years of experience required) may be substituted in lieu of degree.
6 years of data & analytics experience
OR
a minimum of 4 years of data & analytics experience and up to 2 years of progressive functional business relevant experience within the respective industry of responsibility (i.e., P&C, Bank, Finance, Marketing etc.) for a total of 6 years combined experience.
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 and 4 years of experience in data/analytics or functional business experience within the respective industry of responsibility (i.e., P&C, Bank, Finance, Marketing, etc.)
Demonstrated experience in the identification of innovative ways to address moderately complex business problems and solutions.
Advanced 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, expert ability to use or build business knowledge through important partnerships at the individual contributor, leadership, and EMG levels.
Demonstrated expert-level communication skills with the ability to deliver presentations to all levels of management.
Demonstrated the ability to embed intuitive story telling within the business intelligence solutions and platforms including concise presentation of complex technical details.

What sets you apart:

US military experience through military service or a military spouse/domestic partner.
Expert in SQL development.
Advanced experience in data modeling and development.
Intermediate experience with DDLC and SDLC.
Intermediate experience building logical data models for relational databases.
Intermediate experience querying P&C Data Assets such as, but not limited to, Claims, ADS/SDS, Billing, Guidewire.
Intermediate experience utilizing Enterprise data assets like call data, digital data, IVR, C3i, chat, survey, Member data.
Experience capturing requirements to build Omni-channel data assets that support modeling the end-to-end Member and IP journey.
Experience identifying and documenting Critical Data Elements.
Experience utilizing SQL to perform exploratory data analysis to prototype data requirements into data assets.

The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job.

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