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Senior Analytics Developer Jobs in Firestone, CO

Programmers.io

Lead Data Insight Analyst

Denver, CO · On-site

Looking for a senior analytics lead who can drive insights and influence decisions. Key Requirements: * Strong analytics and insight generation * SQL and Python expertise * Reporting and ...

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Senior Analytics Developer information

See Firestone, CO salary details

$16

$66

$93

How much do senior analytics developer jobs pay per hour?

As of Aug 25, 2026, the average hourly pay for senior analytics developer in Firestone, CO is $66.09, according to ZipRecruiter salary data. Most workers in this role earn between $56.11 and $74.13 per hour, depending on experience, location, and employer.

What is a senior analytics developer?

A Senior Analytics Developer is a professional who designs, builds, and maintains complex data analytics solutions to help organizations make data-driven decisions. They are responsible for developing advanced data models, creating dashboards and reports, and ensuring data quality and accuracy. Typically, they work with large datasets, use programming languages like SQL or Python, and collaborate closely with data scientists, business analysts, and other stakeholders. Senior Analytics Developers also mentor junior team members and help set best practices for analytics projects. Their work is crucial in providing actionable insights that drive business strategy.

How does a senior analytics developer typically collaborate with other teams during a data project?

Senior Analytics Developers frequently collaborate with cross-functional teams such as data engineers, business analysts, and product managers. They work closely with data engineers to ensure data pipelines are robust and with business stakeholders to translate complex analytics findings into actionable insights. Regular meetings and agile ceremonies are common to align on project goals, troubleshoot challenges, and refine deliverables. This collaborative environment ensures analytics solutions are both technically sound and aligned with business priorities.

What are the key skills and qualifications needed to thrive as a senior analytics developer, and why are they important?

To thrive as a Senior Analytics Developer, you need expertise in data analysis, programming (such as Python or SQL), and a strong understanding of statistical methodologies, typically supported by a degree in computer science, mathematics, or a related field. Familiarity with advanced analytics platforms (like Tableau or Power BI), big data tools (such as Hadoop or Spark), and relevant certifications (e.g., Microsoft Certified Data Analyst) is often required. Strong problem-solving abilities, attention to detail, and effective communication skills help you translate complex data insights into actionable business solutions. These skills and qualifications are crucial for delivering high-impact analytics projects that drive decision-making and business growth.

What is the difference between Senior Analytics Developer vs Data Analyst?

AspectSenior Analytics DeveloperData Analyst
Required CredentialsBachelor's/Master's in Data Science, Analytics, or related field; often certifications in SQL, Python, or TableauBachelor's degree in Statistics, Mathematics, or related field; certifications in Excel, SQL, or data visualization tools
Work EnvironmentDevelops complex analytics solutions, works with data engineering teams, and builds dashboardsAnalyzes data sets, prepares reports, and visualizes data for business insights
Employer & Industry UsageUsed in tech, finance, and consulting firms for advanced analytics projectsCommon across various industries for business reporting and decision-making

In summary, a Senior Analytics Developer focuses on creating advanced analytics solutions and dashboards, often requiring programming skills and technical expertise. A Data Analyst primarily interprets data, prepares reports, and visualizes insights for business teams. While both roles work with data, the Senior Analytics Developer typically handles more complex technical tasks.

Senior Analytics Developer jobs near you
Infographic showing various Senior Analytics Developer job openings in Firestone, CO as of August 2026, with employment types broken down into 1% Internship, 87% Full Time, 9% Part Time, and 3% Contract. Highlights an 78% Physical, 7% Hybrid, and 15% Remote job distribution, with an average salary of $137,462 per year, or $66.1 per hour.

Senior Analytics Engineer, Product Analytics

Ibotta, Inc

Denver, CO • On-site

Full-time

Medical, Dental, Vision, Retirement

Re-posted 2 days ago

Job description

Ibotta is seeking a Senior Analytics Engineer to serve as the technical backbone of our Product Analytics team in our mission to Make Every Purchase Rewarding.
In this senior, high-ownership role, you will build scalable pipelines, set engineering standards, and establish the data foundations that power product decisions across Ibotta. Operating horizontally across diverse domains; from consumer products, to client surfaces, to semantic layers; you will elevate data quality, empower decision scientists and data scientists, and enable self-service analytics at scale.
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:
  • Design, build, and orchestrate production data pipelines that power dashboards and automate the team's internal analytical processes; the core, front-and-center focus of this role
  • Manage the team's data infrastructure: Databricks Asset Bundles (DABs), Airflow, the ongoing Airflow-to-DABs migration, and other platform migrations; infra support is available, but ideally you can operate independently
  • Own tracking-event source-of-truth tables and build rollup tables for new tracking and business events (the team owns all tracking events; some need rollups, some are good as-is)
  • Implement and utilize engineering best practices and methods to provide quality curated data sets
  • Stand up CI/CD (GitHub Actions) and automated testing for analytics code and pipelines
  • Own data quality, reliability, and governance: schema validation, data contracts, anomaly detection (Monte Carlo or processes you build yourself) to catch issues early, plus PI discovery, classification, and tagging
  • Optimize and aggregate raw data into a consumable format for downstream users in Decision Science and Business Intelligence
  • Build and maintain Looker / LookML dashboards, some of which our pipelines rely on for orchestration
  • Set patterns and examples for a largely self-service team, and actively coach and mentor newer members on best practices and engineering standards
  • Manage stakeholders across the org: connect the dots, sequence competing requests, and know when to wait for readiness versus push ahead to enable the team
  • Collaborate with Data Engineering to streamline our ETL processes and warehouse environment
  • Work cross-functionally across the entire organization to democratize our data strategy and foster data literacy
  • Integrate AI into engineering workflows. We build Claude skills and plugins to automate, standardize, and assist our day-to-day work and enable the team to gain speed and accuracy.
  • Monitor, maintain, and modernize existing data services
  • Embrace and uphold Ibotta's Core Values: Integrity, Boldness, Ownership, Teamwork, Transparency & A good idea can come from anywhere

What we are looking for:
  • 5+ years in Analytics, Data, or Software Engineering
  • Bachelor's degree in Computer Science, Analytics, Statistics, Economics or related field required
  • Hands-on experience building production pipelines using Python, expert SQL, Spark, Airflow, and cloud data warehouses (Databricks preferred)
  • Demonstrated practice with automated testing, CI/CD (GitHub Enterprise/Actions), data validation, and anomaly detection
  • Proven ability to establish self-service patterns, set engineering standards, mentor team members, and manage cross-functional priorities in an Agile environment
  • Direct proficiency across Databricks (including DABs), Looker / LookML, Airflow, and GitHub Enterprise for rapid autonom
  • Experience with semantic layers, data contracts, event-driven architecture, and AI-assisted tooling (Claude, Cursor, Copilot, Databricks Genie)
  • Exposure to product experimentation (A/B testing), decision science, or e-commerce/fintech domains
  • A growth mindset grounded in clear communication, continuous learning, iterative product delivery, and healthy technical debate

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.
Additional Details:
  • 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: $127,000 - $147,000. 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.

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