Google Analytics Ga4 Data Jobs

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Sr. Data Scientist, Rental - Google Analytics

Caterpillar Chicago, IL

Chicago, IL

Today

$113k - $183k/yr Full time Analytics Business Analytics Business Intelligence

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Job Description

At Caterpillar, this onsite role will help turn digital behavioral signals into insights that support rental growth and stronger customer outcomes. As a Senior Data Scientist focused on Google Analytics, you will use hands-on measurement and analytics to improve engagement, lead generation, and business performance.

Role scope

You will work on advanced site analytics and digital performance, using GA4 and related analytics capabilities to drive Rental revenue and customer growth. The position emphasizes building BI and analytics foundations that align with organizational goals while supporting improved dealer operations and product utilization.

Responsibilities

Promote a data-driven product development culture to optimize digital investments, increasing Rental revenue and expanding the customer base through enhanced dealer operations and improved product utilization.
Partner with senior leadership, product owners, and the RU Strategy team to develop and execute the R&U BI/Analytics roadmap in alignment with organizational priorities.
Perform deep analysis of complex business data to deliver insights that support strategic initiatives and operational efficiency.
Collect and document BI and analytics business requirements, defining KPIs and metrics.

Requirements

Hands-on proficiency with Google Analytics (GA4), BigQuery, Python, and SQL.
Experience with GA4 data governance, site performance insights, conversion analysis, lead value estimation, attribution modeling, and causal inference.
Strong skills in BI tooling plus Python and SQL, including Google Analytics (GA4) and BigQuery.
Working knowledge of Python and analytics libraries such as NumPy, SciPy, and pandas.
Proven experience with advanced statistical analysis, including regression, hypothesis testing, and ANOVA (typically 3+ years).
Hands-on experience with machine learning techniques including clustering, logistic regression, random forests, SVMs, and neural networks.
Experience with data visualization tools such as Power BI or Tableau.
Strong problem-solving, consultative approach, interpersonal skills, and data storytelling.
Self-motivated mindset with a commitment to continuous learning in analytics.
Extensive knowledge of analysis techniques and tools, including identifying root causes of organizational problems and creating alternative solutions.
Deep understanding of machine learning principles, technologies, and algorithms, including the ability to develop, implement, and deliver ML-related systems, products, and services.
Extensive knowledge of applying Python to solve business challenges, including using tools and platforms to write and modify programming languages.
Extensive knowledge of data management systems, including the ability to access, search, extract, and format data for further use.

Technologies

Google Analytics (GA4)
BigQuery
Python
SQL
NumPy
SciPy
pandas
Power BI
Tableau

Location and employment details

Location: Chicago, IL (onsite)
Relocation Assistance: NOT available
Visa Sponsorship: NOT available now or in the future

Compensation and benefits

Compensation: $112,710.00 - $183,140.00

Medical, dental, and vision benefits
Paid time off plan (Vacation, Holidays, Volunteer, etc.)
401(k) savings plans
Health Savings Account (HSA)
Flexible Spending Accounts (FSAs)
Health Lifestyle Programs
Employee Assistance Program
Voluntary Benefits and Employee Discounts
Career Development
Incentive bonus
Disability benefits
Life Insurance
Parental leave
Adoption benefits
Tuition Reimbursement
Benefits also apply to part-time employees

Application requirements

Any offer of employment is conditioned upon the successful completion of a drug screen.

Posting dates

October 13, 2026 - October 25, 2026

Experience and education

Minimum experience: 6 years
Education: Bachelor’s or higher degree in a quantitative discipline such as Data Science, Data Analytics, Computer Science, Enginee

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