Ibotta is seeking an Associate Decision Scientist, Marketing Analytics to join our analytics team. In this role, you will be responsible for providing actionable and data-driven recommendations to internal stakeholders and collaborating across various functions to analyze customer behavior.
Responsibilities
- Work with Marketing Analytics team members and the Marketing team in analyzing customer behavior to uncover key actionable insights about Ibotta users
- Collaborate with teams from a wide variety of functions including Marketing, Finance, Revenue/ Sales, Product Engineering, Machine Learning and other Analytics teams
- Run statistical analysis and create predictive models based on past user purchases and behavior
- Learn to design, implement, and analyze controlled experiments to determine the impact of new approaches and performance of our tactics
- Learn how to produce concise and impactful presentations of data and insights to Marketing and company leadership, condensing complex topics and findings in a clear and concise fashion
- Represent the Marketing department on company wide data related task forces. Be vocal and represent our stakeholders needs as well as communicate back key learnings, findings or procedures
- Collaborate with business stakeholders to provide insightful reporting and dashboards along with automating workflows and self serve analytics solutions
- Automate workflows and data pipelines for to enable quicker insights
- Embrace and uphold Ibotta’s Core Values: Integrity, Boldness, Ownership, Teamwork, Transparency, & A great idea can come from anywhere
Skills
- 1+ years of real world work experience in an analytical function. Experience with marketing or a related function in a consumer-facing or B2B industry a plus
- Bachelor's degree in Analytics, Statistics, Economics or a related field required. Advanced analytics or statistics degree or preferred. A combination of additional relevant work experience with relevant technical boot camp or technical training may substitute for specific degree requirements
- Exposure to basic marketing and consumer concepts such as user acquisition/ retention and segmentation
- Experience collecting, delivering and analyzing large, multi‐dimensional data sets
- Experience using SQL to extract insights or answer specific questions from large or complex datasets
- Knowledge of statistical analysis methods, experimental design, and hypothesis testing
- High level of attention to detail and drive for accuracy
- Are an intellectually curious, conceptual thinker who uses creative or abstract problem-solving skills to measure obscure outcomes, or diagnose difficult issues
- Ability to effectively communicate in a clear and concise fashion, both written and verbally, with a wide range of job roles, including both technical and business focused colleagues
- Excellent time and project management skills to balance competing priorities and project work
- Are proactive, collaborative and driven to deliver in a dynamic, fast-paced environment
- Are eager to form strong relationships with a variety of other data professionals including BI developers, Analytics Engineers and other Data or Decision Scientists
- Work to develop full command of a defined set of analytical outputs that add value to Marketing
- Exposure to or training in some or all of the following: Python/R for Data analysis including libraries such as Pandas, numpy and sklearn
- Knowledge of spreadsheet tools like Excel or Googlesheets
- Github for version control
- Database concepts and cloud computing platforms such as AWS
- Business Intelligence Tools (e.g., Looker/ Tableaux)
- Marketing Specific or Web/App related analytical tools and such as Google Analytics, Mobile Measurement Platforms
- Data pipelines and ETL/ELT processes including data exploration, wrangling and cleaning/ preparation for analysis
- Machine Learning (ML) modeling for classifications, predictions or forecasting
Benefits
- Flexible time off
- Benefits package (including medical, dental, vision)
- Lifestyle Spending Account
- Employee Stock Purchase Program
- 401k match
- Paid parking
- Snacks
- Occasional meals
Company Overview
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