24 часа назад
SR Data Scientist (Rental GA4)
112 710 - 183 140$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
SR Data Scientist (Rental GA4): Transforming GA4 behavioral and clickstream data into actionable insights that improve site performance, digital investments, Rental revenue, and customer growth with an accent on conversion analysis, data governance, and measurement solutions. Focus on building scalable analytics with GA4, BigQuery, Python, and SQL, applying machine learning and causal inference, and translating complex data into business recommendations.
Location: Chicago, Illinois; this position will be based in Chicago.
Salary: $112,710.00–$183,140.00 per year
Company
is a Fortune 100 manufacturer of construction and mining equipment, engines, turbines, locomotives, and digital and analytics solutions.
What you will do
- Transform GA4 behavioral and clickstream data into insights that improve site performance, digital investments, Rental revenue, and customer growth.
- Define, track, and analyze core site metrics, conversion funnels, and digital customer journeys.
- Identify opportunities to improve engagement, lead generation, product utilization, and business outcomes.
- Collaborate with senior leadership, product owners, and the Rental and Utilization Strategy team on the BI and analytics roadmap.
- Gather business requirements, define KPIs and metrics, and deliver accurate analysis for strategic and operational decisions.
- Develop scalable measurement and analytics solutions using machine learning, Python, SQL, GA4, and BigQuery.
Requirements
- Six or more years of professional experience in quantitative analysis or data management with a bachelor's degree or equivalent experience; alternatively, a master's degree with one to three years of relevant experience.
- Proficiency in BI tools, Python, SQL, GA4, and BigQuery.
- Experience with AWS services, cloud ELT/ETL, and Snowflake.
- Knowledge of machine learning, data visualization, Power BI, and Tableau.
- Strong analytical, consultative, interpersonal, communication, and data storytelling skills.
- Visa sponsorship is not available, and relocation is not available.
Nice to have
- Advanced statistical methods including regression, hypothesis testing, ANOVA, and statistical process control.
- Practical machine learning experience with clustering, logistic regression, random forests, SVMs, or neural networks.
- Experience with NumPy, SciPy, pandas, data lakes, and automation techniques.
- Advanced technical problem-solving skills and continuous learning in analytics.
Culture & Benefits
- Work with a global Fortune 100 company and emerging technologies.
- Medical, dental, and vision benefits, subject to plan eligibility.
- Paid time off, parental leave, adoption benefits, and disability and life insurance.
- 401(k), HSA, FSA, incentive bonus, and employee discounts.
- Career development and tuition reimbursement programs.
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