Ibotta
Ibotta

50 Ibotta Data Analyst Jobs Hiring Near You

Data Engineer

Denver, CO · On-site

$117.90K - $141.50K/yr

Ibotta is looking for a software-focused Data Engineer to join our team and contribute to our ... Experience: 3+ years of software engineering experience with a focus on data engineering, analytics ...

Data Engineer

Denver, CO

$117.90K - $141.50K/yr

Ibotta is looking for a software-focused Data Engineer to join our team and contribute to our ... Experience: 3+ years of software engineering experience with a focus on data engineering, analytics ...

Senior Data Engineer

Denver, CO · On-site

$109.10K - $148.20K/yr

Ibotta is looking for a software-focused Sr. Data Engineer to join our team and contribute to our ... Experience: 5+ years of software engineering experience with a focus on data engineering, analytics ...

Senior Data Engineer

Denver, CO · On-site

$109.10K - $148.20K/yr

Ibotta is looking for a software-focused Sr. Data Engineer to join our team and contribute to our ... Experience: 5+ years of software engineering experience with a focus on data engineering, analytics ...

Senior Financial Analyst

Denver, CO · On-site

$95K - $105K/yr

Stay up-to-date on the latest trends in data analytics and financial modeling. * Embrace and uphold Ibotta's Core Values: Integrity, Boldness, Ownership, Teamwork, Transparency & A good idea can come ...

Ibotta is looking for a Data Science Manager, Marketing Analytics to join our fast-growing team. This position is located in Denver, Colorado, as a hybrid position requiring 3 days in office (Tuesday ...

Ibotta is looking for a Data Science Manager, Marketing Analytics to join our fast-growing team. This position is located in Denver, Colorado, as a hybrid position requiring 3 days in office (Tuesday ...

Senior Financial Analyst

Denver, CO · Hybrid

$95K - $105K/yr

Stay up-to-date on the latest trends in data analytics and financial modeling. * Embrace and uphold Ibotta's Core Values: Integrity , Boldness , Ownership , Teamwork , Transparency & A good idea can ...

Ibotta is seeking a Data Scientist to join our Client Data & Measurement team and contribute to our ... Analyze large and novel datasets to extract actionable insights to inform model development and ...

Establish automated processes to scale insights across Ibotta, and treat our data assets as ... Demonstrated analytical ability, conceptual thinking, and problem-solving skills * Demonstrated ...

Sales Compensation Analyst

Denver, CO · On-site

$88K - $97K/yr

Ibotta is seeking a Sales Compensation Analyst to join our innovative team and contribute to our ... data structures relevant to sales operations (accounts, opportunities, territories). About Ibotta ...

Ibotta is seeking a Sales Compensation Analyst to join our innovative team and contribute to our ... data structures relevant to sales operations (accounts, opportunities, territories). About Ibotta ...

Lead cross-functional teams in driving and delivering key data and analytics products and initiatives * Embrace and uphold Ibotta's Core Values: Integrity, Boldness, Ownership, Teamwork, Transparency ...

Establish automated processes to scale insights across Ibotta, and treat our data assets as ... Demonstrated analytical ability, conceptual thinking, and problem-solving skills * Demonstrated ...

Staff BI Developer

Denver, CO · On-site

$120K - $138K/yr

Ibotta is looking for a Staff Business Intelligence Developer to join our Core Data & Analytics team who will help empower our company to make data-driven decisions by providing the right data at the ...

next page

Showing results 1-20

Ibotta Jobs Information

What are the key skills and qualifications needed to thrive as a Data Analyst, and why are they important?

To thrive as a Data Analyst, you need strong analytical skills, proficiency in statistics, and a relevant degree such as in mathematics, statistics, or computer science. Familiarity with data analysis tools like SQL, Excel, Python or R, and experience with visualization platforms such as Tableau or Power BI are typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help analysts interpret data insights and present findings clearly to stakeholders. These skills are crucial for transforming raw data into actionable business insights that drive informed decision-making.

What are some common challenges Data Analysts face when working with large datasets, and how are they typically addressed?

Data Analysts often encounter challenges such as data quality issues, missing or inconsistent values, and slow processing times when handling large datasets. These challenges are typically addressed by implementing data cleaning routines, using advanced data management tools, and leveraging programming languages like Python or R for efficient data manipulation. Collaboration with database administrators and IT teams is also common to ensure data integrity and optimize data storage solutions. Staying updated with best practices in data wrangling and visualization helps Data Analysts deliver accurate and actionable insights.

What does a Data Analyst do?

A Data Analyst is responsible for collecting, processing, and analyzing data to help organizations make informed business decisions. They use statistical tools and software to interpret data sets, identify trends, and create visual reports. Data Analysts often collaborate with other departments to provide actionable insights and support strategic planning. Their work helps organizations optimize operations, track performance, and solve business problems using data-driven approaches.

How much does an entry level data analyst make?

Entry-level data analysts typically earn between $55,000 and $70,000 annually, depending on the industry and location. Starting salaries may be higher with relevant skills in SQL, Excel, and data visualization tools like Tableau or Power BI.

What jobs make $3,000 a month without a degree?

Data analysts can sometimes earn around $3,000 per month with relevant skills in data visualization, Excel, and basic statistical tools, even without a formal degree. Entry-level roles or freelance work in data analysis, digital marketing, or customer support may also reach this income level, especially with experience and certifications. However, salaries vary based on location, industry, and skill level.

Will AI replace a data analyst?

AI tools can automate routine data processing and basic analysis tasks, but data analysts are essential for interpreting complex data, making strategic decisions, and providing context. The role of a data analyst involves skills like critical thinking, domain knowledge, and communication that AI cannot fully replicate. Therefore, AI is more likely to augment rather than replace data analysts in the foreseeable future.

What is the difference between Data Analyst vs Data Scientist?

AspectData AnalystData Scientist
Required CredentialsBachelor's degree in statistics, mathematics, or related field; often certifications in data analysis toolsBachelor's or master's in computer science, statistics, or related; often advanced certifications or degrees
Work EnvironmentBusiness settings, focusing on data reporting and visualizationResearch and development environments, focusing on predictive modeling and complex algorithms
Employer & Industry UsageRetail, finance, healthcare, and marketing companiesTech firms, research institutions, and large enterprises

While both roles analyze data, Data Analysts primarily focus on interpreting existing data to generate reports and insights, whereas Data Scientists develop predictive models and advanced algorithms to forecast trends and solve complex problems.

What are the most popular categories at Ibotta?
Infographic showing various Data Analyst job openings at Ibotta in the United States as of May 2026, with employment types broken down into 100% Full Time. Highlights an 68% Physical, 10% Hybrid, and 22% Remote job distribution.
Data Engineer

Data Engineer

Ibotta

Denver, CO • On-site

$117.90K - $141.50K/yr

Other

Medical, Dental, Vision, Retirement

This job post has expired today. Applications are no longer accepted.


Job description

Ibotta is looking for a software-focused Data Engineer to join our team and contribute to our mission to Make Every Purchase Rewarding. As a key contributor within the Data Platform Organization, you will join our newly formed Data Intelligence Squad to make Ibotta's data AI-ready.
We are looking for a highly motivated data engineer who cares about the craft of clean, well-governed data and understands why it matters more than ever in an AI-driven environment. You'll work on the data contract and metadata standards that underpin everything the squad builds, the compliance tooling that keeps Ibotta's data estate clean and auditable, and the pipelines that feed our AI readiness scoring system. You'll grow into LLM application development and semantic layer work as the team evolves.
This position is located in Denver, Colorado as a hybrid position requiring 3 days in office (Tuesday, Wednesday, and Thursday). Candidates must live in the United States.
Not based in Denver? We will offer a relocation bonus to help make your move to the Mile High City a smooth one.
What you will be doing:

  • Data Contract and Metadata Standards: Implement and maintain data contract specifications that codify table ownership, schema expectations, and quality thresholds; enforce standards through automated validation in the deployment pipeline; collaborate with data owners to improve metadata coverage across the team's data estate
  • AI Readiness Scoring: Contribute to an automated scoring pipeline that evaluates data assets on their readiness for AI and analytical use; build and maintain the jobs that collect quality signals and surface scores to data teams
  • AI Governance and Compliance: Support the discovery and classification of sensitive data across the data estate; maintain tagging and lineage automation frameworks; help translate data access and privacy policies into practical guardrails in partnership with the platform team; monitor AI usage across the company, defining new avenues for AI assistance
  • AI Trust and Reliability: Build the systems that make people actually trust what the AI tells them about our data, such as query accuracy checks, guardrails that keep AI tools on certified data, and clear attribution so users can see where an answer came from; make sure we have the monitoring in place to catch problems before they erode confidence.
  • Semantic Layer Contributions: Build and maintain the semantic framework that make data assets more legible to both people and AI systems, adding descriptions, context, and query guidance that improve the accuracy of natural language queries; work with analysts and domain experts to capture and formalize business definitions
  • AI-Augmented Development: Proactively leverage AI tools (e.g., Claude, Databricks Genie) to accelerate development, maintain code quality, and explore new approaches to data engineering problems
  • Cross-team Collaboration: Partner with adjacent teams to onboard data assets into the AI-ready platform, document processes and contribute to the team's shared knowledge base
  • Embrace and uphold Ibotta's Core Values: Integrity, Boldness, Ownership, Teamwork, Transparency, and A good idea can come from anywhere.
What we are looking for:
  • Experience: 3+ years of software engineering experience with a focus on data engineering, analytics engineering, or backend development.
  • Data Engineering Fundamentals: Proficiency in Python and SQL, knowledge of Databricks, and familiarity with medallion architecture (bronze/silver/gold) or similar layered data design patterns.
  • Semantic Modeling: Experience implementing semantic layers to ensure AI agents utilize governed, consistent metric definitions rather than querying raw tables directly
  • Data Governance: Understanding of data governance concepts (metadata standards, data ownership, schema enforcement, access control) and experience keeping data assets clean and well-documented.
  • Data Quality Fundamentals: Experience with schema validation, data freshness monitoring, data observability tooling, or similar quality practices.
  • AI Tooling: Experience using and/or building LLMs, NQLs, and other AI-related toolings, especially in relation to data analytics. Proficiency in AI-assisted coding platforms (Claude, Copilot, Cursor, etc.) a plus.
  • Education: Bachelor's degree in Computer Science, Engineering, or a related field.
Experience with the following a strong plus:
  • Experience with data catalog, metadata management, or data transformation tooling
  • Exposure to data privacy, classification, or compliance requirements in a data context
  • Familiarity with configuration-as-code or automated deployment workflows
  • Experience with data observability or data quality monitoring
  • Agile development experience
About Ibotta ("I bought a...")
Ibotta (NYSE: IBTA) is a leading performance marketing platform allowing brands to deliver digital promotions to over 200 million consumers through a network of publishers called the Ibotta Performance Network (IPN). The IPN allows marketers to influence what people buy, and where and how often they shop - all while paying only when their campaigns directly result in a sale. American shoppers have earned over $2.6 billion through the IPN since 2012. The largest tech IPO in history to come out of Colorado, Ibotta is headquartered in Denver, and is continually listed as a top place to work by The Denver Post and Inc. Magazine.
To learn more about what our Tech teams are doing day to day, visit Building Ibotta on Medium.com.
  • This position is located in Denver, CO and includes competitive pay, flexible time off, benefits package (including medical, dental, vision), Employee Stock Purchase Program, and 401k match. Denver office perks include paid parking, snacks and occasional meals.
  • Base compensation range: $110,000 - $126,000. Total compensation for this role also includes a variable component in addition to base salary. Equity is included in overall compensation package. This compensation range is specific to the United States labor market and may be adjusted based on actual experience.
  • Ibotta is an Equal Opportunity Employer. Ibotta's employment decisions are made without regard of race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, sexual orientation, or any other legally protected status.
  • Applicants must be currently authorized to work in the United States on a full-time basis.
  • Applicants are accepted until the position is filled.
  • For the security of our employees and the business, all employees are responsible for the secure handling of data in accordance with our security policies, identifying and reporting phishing attempts, as well as reporting security incidents to the proper channels.

Recruiting Agency Notice
Ibotta does not accept agency resumes and is not responsible for any fees related to unsolicited resumes. Please do not forward resumes to any Ibotta employees.
#LI-Hybrid
#BI-Hybrid