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ibotta

Cash-back shopping rewards app for brands

Decision Scientist - Strategic Partner, Marketing Analytics

Data ScienceConfirmed live in the last 24 hours
Full-timeDenver, CO, USA

About the Job

Requirements

  • At least 3 years of real-world work experience in an analytical function.
  • A bachelor's degree in Analytics, Statistics, Economics, or a related field is required.
  • An understanding of general business concepts is required.
  • Technical proficiency with data analysis tools and languages, including Databricks, SQL, Python or R, PySpark, Spark, Git or GitHub, and Excel or Google Suite.
  • Experience with business intelligence and visualization tools such as Looker.
  • Experience creating customer-facing slide presentations that convey complex data in compelling, simple formats.
  • Experience with marketing-specific or web/app analytical tools, such as Google Analytics and mobile measurement platforms.
  • Experience with data pipelines and ETL/ELT processes, including data exploration, wrangling, and preparation for analysis.
  • Ability to integrate artificial intelligence into analytics workflows productively.
  • Experience building accurate and performant forecasting and data models, including time-series modeling, forecasting, and seasonality.
  • Experience developing predictive models for strategic business decision-making.
  • Experience with classification modeling and techniques for personalizing customer experiences.
  • Proficiency in applied statistical analysis methods, experimental design, and hypothesis testing.
  • Experience collecting, delivering, and analyzing large, multidimensional datasets.
  • Strong communication skills, including developing data summaries, visualizations, and other storytelling methods.
  • Attention to detail and a drive for accuracy.
  • Demonstrated success leveraging analytical tools and approaches to generate business value.

Responsibilities

  • Analyze customer behavior and trends with Analytics, Strategic Partner Development/Business Development, Consumer Marketing, User Acquisition, and Communications Marketing teams to uncover actionable insights about users.
  • Analyze performance trends and uncover actionable insights that enable business growth.
  • Collaborate with Finance, Revenue/Sales, Product Engineering, Machine Learning, and other Analytics teams.
  • Provide insight and thought leadership on performance metrics, attribution methodologies, and consumer statistics such as lifetime value to customer acquisition cost and churn.
  • Conduct statistical analysis and create predictive models based on past user purchases and behavior.
  • Design, execute, and analyze controlled experiments to determine the impact of new approaches and the performance of tactics.
  • Present data and insights to Marketing and company leadership, communicating complex topics and findings clearly and concisely.
  • Represent the Marketing department on company-wide data-related task forces, advocate for stakeholder needs, and communicate key learnings, findings, and procedures.
  • Collaborate with business stakeholders to provide reporting and dashboards, automate workflows, and develop self-service analytics solutions.
  • Automate workflows and data pipelines to enable faster insights.
  • Uphold Ibotta's core values.

Desired Qualifications

  • Experience with Marketing (Consumer or B2B), Retail/CPG, or a related industry.
  • Experience with consumer marketing tactics and concepts, such as customer lifetime value and lifecycle, user acquisition, and retention, or experience in Retail/CPG industries.

About the Company

ibotta

Cash-back shopping rewards app for brands

Ibotta is a shopping rewards platform that connects brands with millennial shoppers and offers cash-back for purchases. The app tracks what people buy and pays them cashback, while brands pay for featured placements and targeted campaigns to increase purchase velocity, conversions, and incremental sales. It stands out by reaching a large, engaged millennial audience with data-driven marketing that measures what extra sales come from campaigns. Its goal is to boost incremental sales, grow market share in retail and consumer goods, and build customer loyalty by rewarding everyday shopping.

Company size
501-1,000
Company stage
IPO
Headquarters
Denver, CO
Founded
2012

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