Associate Decision Scientist, Marketing Analytics

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