Associate Decision Scientist, Marketing Analytics jobs in United States
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Ibotta · 3 days ago

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.

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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

Qualification

SQLStatistical analysisPython/RBusiness Intelligence ToolsData pipelinesA/B testingPresentation skillsAttention to detailProject managementCommunication skillsCollaboration

Required

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

Preferred

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

Ibotta is a web and mobile application.

Funding

Current Stage
Public Company
Total Funding
$92.92M
Key Investors
Koch Disruptive TechnologiesNotable CapitalJames Clark
2024-04-18IPO
2019-08-06Series D
2017-08-04Series D· $25M

Leadership Team

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Luke Swanson
Chief Technology Officer
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Matthew Puckett
Chief Financial Officer
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Company data provided by crunchbase