Business Intelligence Analyst, Strategic Performance Analytics
Thrivent - Minneapolis, MN
posted 3 months ago
About the position
The Business Intelligence Analyst is a mid-level position at Thrivent, responsible for obtaining, developing, and analyzing data to provide insights that support business operations. This role involves consulting with customers to understand their analytic needs and developing business requirements to address those needs. The analyst will work independently while also collaborating with business partners and technical resources to define specific hypotheses or questions for evaluation. The position requires a strong understanding of Thrivent's products, systems, and processes, as well as the ability to train and mentor associate analysts. In this role, the analyst will conduct moderately complex SQL queries and utilize various data extraction, reporting, and analytic tools to validate and develop analyses. They will be responsible for producing and maintaining models and data using corporate software tools, ensuring that actionable insights or data streams are designed, executed, presented, and distributed effectively to meet management requirements. The analyst will also develop plans to evaluate hypotheses and measure performance, contributing to the overall strategic performance analytics of the organization.
Responsibilities
- Collaborate with technical resources, business resources, and business owners to define specific hypotheses/questions to evaluate and analyze.
- Gather, develop, validate, and analyze data and data requirements in support of business operations.
- Conduct moderately complex SQL queries and work with data extraction, reporting, and analytic tools to validate and develop analysis and reporting.
- Develop plans to evaluate hypotheses/questions and measure performance.
- Produce and maintain models and data using a variety of corporate software tools.
- Partner with business, IT, and customers to ensure the design, execution, presentation, and distribution of actionable insights or data streams meet management requirements.
Requirements
- Minimum of a bachelor's degree in economics, quantitative 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.
Nice-to-haves
- Strong attention to detail, excellent organizational, planning, and problem-solving skills.
- Ability to work with a sense of urgency on multiple projects simultaneously.
- Demonstrated ability to work independently within a stated objective.
- Ability to utilize technology to create reports and/or secure information necessary for decision-making.
Benefits
- Various bonuses (including annual or long-term incentives)
- Medical, dental, and vision insurance
- Health savings account
- Flexible spending account
- 401k
- Pension
- Life and accidental death and dismemberment insurance
- Disability insurance
- Supplemental protection insurance
- 20 days of Paid Time Off each year
- Sick and Safe Time
- 10 paid company holidays
- Volunteer Time Off
- Paid parental leave
- EAP
- Well-being benefits
- Other employee benefits
