Business Intelligence Analyst

Thrivent•Minneapolis, MN

2d•Hybrid

About The Position

We exist to help people achieve financial clarity. At Thrivent, we believe money is a tool, not a goal. Driven by a higher purpose at our core, we are committed to providing financial advice, investments, insurance, banking and generosity programs to help people make the most of all they’ve been given. At our core, we are a membership-owned fraternal organization, as well as a holistic financial services organization, dedicated to serving the unique needs of our clients. We focus on their goals and priorities, guiding them toward financial choices that will help them live the life they want today—and tomorrow. Job Summary The Business Intelligence Analyst is a mid-level position with responsibility for obtaining, developing and analyzing data, prove/disprove hypotheses, and develop insights. The individual in this role will be expected to consult with costumers to develop business requirements and provide possible solutions and approaches to their analytic needs. While expected to exhibit a significant amount of independence in interacting with business partners and in preparing analyses, the role works under the general direction of their leader and also trains, mentors, and provides work direction to associate analysts. Develops an understanding of Thrivent’s products, systems, and processes. This role will be a part of Finance & Actuarial Division’s Actuarial Services Product Team - F&A Portfolio. This BI Analyst role will be part of a product team (comprised of business intelligence analysts and engineers) that will partner directly with our Finance & Actuarial Division actuaries and leaders.

Requirements

Minimum of a bachelor's degree in economics, quantitiative business analysis, applied mathematics, statistics, management information systems, actuarial science, or equivalent experience required.
3+ years of experience in financial services and/or research and analytics or 2+ years of experience in the actuarial field.
Intermediate skill in using analytics tools (such as SAS, SPSS, Minitab, R, etc.) in a corporate environment.
Intermediate skill in design and execution of complex statistical modeling and testing involving linear and non-linear regression techniques (e.g. CHAID, CART, ANOVA, MANOVA, LOGISTIC, TTEST etc.)
Intermediate skill with relational databases, data warehousing, data mining and OLAP.
Experience in experimental design and impact assessment.
Strong attention to detail, excellent organizational, planning and problem solving skills.
Able to work with a sense of urgency on multiple projects at the same time.
Demonstrated ability to work independently, within a stated objective.
Ability to utilize technology to create reports and/or secure information necessary for decision making in a manner that is readily consumable by customers.

Responsibilities

Collaborates with technical resources, business resources, and business owners to: 1) define specific hypothesis/questions to evaluate and analyze, or 2) gather, develop, validate and analyze data and data requirements in support of business operations.
Conducts moderately complex SQL queries and works with other data extraction, reporting and analytic tools to validate and/or develop analysis and reporting to provide insight.
Develops plans to evaluate hypothesis/questions and measure performance.
Produce and maintain models and data using a variety of corporate software tools.
Partners with business, IT and customers to ensure that the design, execution, presentation, and distribution of actionable insights or data streams can be readily implemented and meets management requirements.