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Decision Scientist – Client Analytics
| Company | ibotta |
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| Location | Denver, CO, USA |
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| Salary | $83000 – $99000 |
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| Type | Full-Time |
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| Degrees | Bachelor’s |
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| Experience Level | Mid Level |
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Requirements
- 3+ years of experience in an analytical function
- Bachelor’s degree in Analytics, Statistics, Economics or related field
- Experience and proficiency working with data analysis tools (e.g., SQL (Databricks), Python/R, Excel, Powerpoint, Git/GitHub etc. Python or R preferred but not required)
- Experience with BI & other analytics tools (e.g., Looker, Tableau, Mode, Power BI, etc.)
- Exposure to Data pipelines and ETL/ELT processes
- Solid experience in the collection, analysis, and delivery of large, multi‐dimensional data sets and building visualizations that turn data into meaningful business insights
- Experience identifying, validating, documenting, and UATing events-based data for business utility in the data lake to help answer strategic questions
Responsibilities
- Analyze large datasets to extract actionable insights to inform business decisions and understand consumer behavior to support the decision-making process
- Use SQL, Excel and BI tools with some opportunity to partner with data scientists and other members of the Ibotta analytics community on projects needing the use of Python, R and other advanced analytics tools
- Formulate solutions addressing major business challenges and innovation opportunities
- Develop a deep understanding of Ibotta’s data ecosystem and analytics tools
- Bring proactive insights into our key business metrics through curiosity, dedication, and ongoing investment in understanding our products
- Contribute to creating best practices and efficient processes for the team
- Initiate and drive collaboration with stakeholders and cross-functional teams to define project scope, responsibilities, and expectations
- Build and maintain dashboards, reports, and other analytics deliverables
Preferred Qualifications
- are proactive, collaborative and driven to deliver in a dynamic, fast-paced environment
- are comfortable continually asking questions of our data and business
- translate measurement outcomes into technical specifications and ambiguous business questions into structured data problems
- use solid business sense to tie analytical outputs to actionable recommendations
- are an intellectually curious, conceptual thinker who uses creative problem-solving skills to go beyond the symptoms of a problem and diagnose root causes
- analyze, visualize, communicate and automate complex learnings, distilling them into digestible form for a broad set of stakeholders
- have solid interpersonal skills, collaborate across functional areas, manage stakeholder expectations, and support key initiatives from start to finish under guidance of your manager
- demonstrate empathy for stakeholders, functional partners, clients and users
