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Data Analysis
Senior Business Intelligence Analyst
@Thrivent Financial for Lutherans
[Hiring] Senior Business Intelligence Analyst @Thrivent Financial for Lutherans
Apr 01, 2025 - Thrivent Financial for Lutherans is hiring a remote Senior Business Intelligence Analyst. 💸 Salary: $92,538 - $125,199 per year. 📍Location: USA.
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Role Description
The Senior Business Intelligence Analyst is a fully-qualified 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 divisional leaders to develop business requirements and provide possible solutions and approaches to their analytic needs. This role is expected to exhibit a significant amount of independence in interacting with business leaders and be proactive about opportunities to further analysis that will help the business achieve its goals.
This role will be a part of Finance & Actuarial Division’s local Data Enablement Product Team - F&A Portfolio.
- Collaborate with technical resources, business resources, and business owners to define specific hypothesis/questions to evaluate and analyze, or gather, develop, validate and analyze data and data requirements in support of business operations.
- Conduct complex SQL queries and work with other data extraction, reporting and analytic tools to validate and/or develop analysis and reporting to provide insight.
- Develop plans to evaluate hypothesis/questions, measure performance, and/or produce models and data.
- Partner 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.
- Lead medium to large sized projects and collaborate, train, and mentor other analysts as needed.
- Perform complex modeling, data mining and analysis projects that inform and support corporate stakeholders.
- Evaluate/model data utilizing accepted advanced statistical methods.
- Perform regular procedures such as preparing scheduled reports.
- Work with a diverse business community to document as-is and to-be business processes.
Qualifications
- Bachelor's degree in applied mathematics, statistics, management information systems, actuarial science, or equivalent experience required.
- 5+ years of experience in financial services and/or research and analytics or 4+ years of experience in the actuarial field.
- Advanced skill in using analytics tools (such as SAS, SPSS, Minitab, R, etc.) in a corporate environment.
- Advanced 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.).
- Advanced skill with relational databases, data warehousing, data mining and OLAP.
- Advanced skill in experimental design and impact assessment.
- Solid business acumen working with insurance or investment environments.
- Demonstrated ability to tailor key insights and messages appropriately for audience (senior leader, line manager, etc.).
- Ability to work at both a conceptual and detail level with strong statistical data analysis skills, problem solving and decision making skills.
- Able to translate strategic business logic into technical report requirements and schema design.
- Efficient and effective communications skills with key business partners, tailored to client needs and expectations.
- Effective in leading less experienced resources in large project work, providing assistance in consulting, design, implementation, and/or communication.
Requirements
- 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 leadership.
Benefits
- Various bonuses (including, for example, 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, and other employee benefits.
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| 📍 | Be aware of the location restriction for this remote position: USA |
| ‼ | Beware of scams! When applying for jobs, you should NEVER have to pay anything. Learn more. |
Back to Remote jobs >
Data Analysis
Data Analysis
|
Salary
💸
$92,538 - $125,199 per year
|
Remote
Location
USA
|
|
Job Type
full-time
|
Posted
Apr 01, 2025
|
️
| 📍 | Be aware of the location restriction for this remote position: USA |
| ‼ | Beware of scams! When applying for jobs, you should NEVER have to pay anything. Learn more. |
