BI Analyst Consultant, Money Canvas
at Thrivent
Remote, Oregon, USA -
Start Date | Expiry Date | Salary | Posted On | Experience | Skills | Telecommute | Sponsor Visa |
---|---|---|---|---|---|---|---|
Immediate | 27 May, 2024 | Not Specified | 01 Mar, 2024 | 7 year(s) or above | R,Project Work,Sas,Olap,Economics,Spss,Testing,Analytics,Data Mining,Research,Business Acumen,Impact Assessment,Business Analysis,Manova,Anova,Statistics,Relational Databases,Statistical Modeling,Design,Financial Services,Applied Mathematics,Cart | No | No |
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US Citizen | Student Visa |
H1B | CPT |
OPT | H4 Spouse of H1B |
GC Green Card |
Employment Type:
Full Time | Part Time |
Permanent | Independent - 1099 |
Contract – W2 | C2H Independent |
C2H W2 | Contract – Corp 2 Corp |
Contract to Hire – Corp 2 Corp |
Description:
The BI Analytics Consultant is a strategic thought leader tasked with identifying strategic or tactical insights crucial to organizational goals, strategies, plans, and results. A key aspect of this role involves proactive collaboration with senior business leaders to identify topical areas and hypotheses requiring evaluation. Additionally, the consultant plays a vital role in furnishing insights to corporate leaders for making fact-based decisions. Moreover, the consultant is responsible for partnering with, training, mentoring, and providing work direction to other BI Analysts across the organization as needed.
In addition to these responsibilities, the ideal candidate for this role will need to possess an entrepreneurial mindset and be adaptable to wearing multiple hats. This individual will also work on Money Canvas, a money coaching service designed to empower individuals to gain clarity on their finances and find motivation to spend less and save more.
REQUIRED JOB QUALIFICATIONS
- Minimum of a bachelor’s degree in economics, quantitative business analysis, applied mathematics, statistics, management information systems, or equivalent experience required. Master’s degree preferred.
- 7+ years of experience in financial services and/or research and analytics
- Expert skill in using analytics tools (such as SAS, SPSS, Minitab, R, etc.) in a corporate environment.
- Expert 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.)
- Expert skill with relational databases, data warehousing, data mining and OLAP.
- Expert skill in experimental design and impact assessment.
- Significant business acumen working with insurance or investment environments.
- Advanced 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.
- Expert ability 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.
Responsibilities:
- Proactively defines specific hypothesis/questions to evaluate and analyze based on Thrivent’s strategies and goals
- Lead large / highly complex projects and train, mentor, and provide work direction to other BI Analysts
- Collaborates with senior leaders and business process owners to define specific hypothesis/questions and develops plans to deliver actionable insight
- Conducts highly complex SQL queries and works with other data extraction, reporting and analytic tools to validate and/or develop analysis and reporting to provide actionable insight
- Performs investigations to identify, acquire, enhance, and/or develop new data sources, both internal and external, which will enhance the enterprise BI environment
- Identify new ongoing data needs and requirements and champion the establishment of new systems and data in partnership with IT and appropriate business areas.
- Performs highly complex modeling, data mining and analysis projects that inform and support corporate stakeholders. Evaluate/model data utilizing accepted advanced statistical methods
- Provides clear, concise, and proactive communication supported by actionable insights with senior leadership
- Work with a diverse business community to document as-is and to-be business processes
REQUIREMENT SUMMARY
Min:7.0Max:12.0 year(s)
Information Technology/IT
Analytics & Business Intelligence
Software Engineering
Graduate
Economics quantitative business analysis applied mathematics statistics management information systems or equivalent experience required
Proficient
1
Remote, USA