Analyst-Data Science

Role overview

Responsibilities

• Turn complex colleague data into clear insights, reports, and recommendations for leaders.
• Contribute to an analytical Centre of Excellence by identifying new approaches and improving team ways of working.
• Support high-quality actionable insights across the analytical lifecycle, from business questions and data preparation through analysis, visualization, and communication.

Qualifications

• Bachelor’s or Master’s degree in Statistics, Economics, Mathematics, Engineering, Data Science, or another relevant analytical discipline.
• 1–2 years applying quantitative analysis, statistical methods, or data visualization to business problems in a complex organization.
• Proficiency with SQL, Python, R, or equivalent analytical tools, and experience working with enterprise data platforms; LUMI familiarity is essential.
• Understanding of distributions, regression, confidence intervals, correlation, statistical significance, p-values, and hypothesis testing.
• Experience developing reports, dashboards, or visualizations using Tableau, Power BI, or equivalent technologies.
• People Analytics or HR data experience is preferred.
• Strong analytical curiosity, attention to detail, communication, collaboration, and ability to manage multiple priorities and ambiguous questions.

Analytical skills

• Quantitative analysis, statistical methods, data interpretation, and visualization.
• Data storytelling for technical and nontechnical audiences.

Workplace arrangements

• Company benefits information describes flexible working models that may be hybrid, onsite, or virtual depending on role and business need; no specific arrangement is stated for this role.

Benefits

• Benefits include competitive base salary, bonus incentives, retirement savings match, financial coaching, medical, dental, vision, life and disability coverage, and paid parental leave.
• The company also describes flexible working models and onsite wellness centers depending on location.