9 дней назад
Senior Manager, Advanced Analytics
127 171 - 180 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Manager, Advanced Analytics (Python/SQL/PySpark): Leading advanced analytics projects, developing production-ready algorithms, and delivering data models and strategic recommendations for complex business and technical problems with an accent on scalable data processing, statistical analysis, and KPI development. Focus on designing rule-based algorithms, validating analytical solutions, resolving data quality issues, and guiding cross-functional teams toward data-driven decisions.
Location: 811 Excellence Dr., Bentonville, Arkansas 72716, United States; onsite
Salary: $127,171–$180,000 per year
What you will do
- Own complex analytics projects from initial planning through implementation, managing risks, priorities, performance standards, and contingency plans.
- Lead advanced analytics initiatives addressing complex business and technical problems and provide strategic recommendations to senior leadership.
- Develop, implement, test, and validate data models, prototypes, rule-based algorithms, and production-ready solutions.
- Build scalable analytical workflows and data models for large datasets, reporting, KPI development, and data-driven decision-making.
- Collaborate with software engineering, category management, and other cross-functional partners on algorithms, prototypes, and analytics strategies.
- Manage, mentor, and develop associates while building a team-based work environment and setting performance expectations.
Requirements
- Master’s degree or equivalent in Business, Finance, Accounting, Statistics, or a related field plus 2 years of experience in data analytics or a related field; or bachelor’s degree or equivalent plus 4 years of relevant experience.
- Experience designing and implementing rule-based algorithms for batch or real-time API deployment.
- Experience with Tableau or Power BI, SQL, Python, PySpark, BigQuery, cloud-based databases, and data warehouses.
- Experience using CI/CD tools such as JFrog and Airflow and version control systems such as Git.
- Experience applying regression analysis, hypothesis testing, multivariate analysis, anomaly detection, and outlier analysis.
- Experience with data cleaning and preprocessing, root cause analysis, KPI validation and optimization, and ad hoc business analysis.
Culture & Benefits
- Full-time employment.
- Equal opportunity employer.
- Drug-free workplace with a zero-tolerance policy for illegal drugs and alcohol.
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