Role Overview
Embeds analytics and data-driven decision making into business processes and operational workflows. Combines business acumen, statistical methods, machine learning techniques, and data visualization to solve complex business problems and generate actionable insights.
What You Will Do
Participates in the analysis, validation, and interpretation of data sets, analytics solutions, and user requirements. Collects, cleans, transforms, and validates data from multiple sources to support reporting, analytics, and machine learning initiatives.
Why It Might Be a Fit
Strong analytical thinking, problem-solving, and critical reasoning skills. Ability to communicate technical concepts and analytical insights to business stakeholders.
Requirements
- Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, Operations Research, Engineering, Analytics, or a related quantitative discipline.
- Experience with analytics, reporting, business intelligence, statistical analysis, data visualization, or machine learning projects through academic, internship, or professional work.
- Basic to intermediate SQL skills for data extraction, transformation, and analysis.
- Experience with Power BI or similar business intelligence and data visualization platforms.
- Knowledge of statistical analysis techniques including hypothesis testing, regression, forecasting, segmentation, and trend analysis.
- Familiarity with Python, R, or equivalent analytics programming languages.
- Understanding of machine learning concepts including classification, clustering, predictive modeling, and model validation.
- Familiarity with data preparation, ETL processes, and data quality management practices.
- Understanding of structured and unstructured data sources and data integration techniques.
Benefits
- Health & Wellbeing
- Personal & Professional Development
- Unconditional Inclusion
To apply for this job please visit hpe.wd5.myworkdayjobs.com.
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