Business / Data Analyst / Data Scientist

Overview

Do you have a passion for transforming raw data into actionable business intelligence? Are you enthusiastic about collaborating with stakeholders to dissect complex datasets and empower organizations to make informed, data-backed decisions? If so, this is a compelling opportunity to join Intetics, an international IT firm, as a Business / Data Analyst / Data Scientist, working on a global analytics initiative centered on workforce planning and enterprise intelligence.

Key Responsibilities

• Collect and review business requirements directly from stakeholders to understand needs.
• Convert these business needs into clear functional and analytical specifications.
• Conduct detailed data profiling and analytics on enterprise datasets to maintain and ensure data quality and integrity.
• Design and develop key performance indicators (KPIs), comprehensive reporting structures, and advanced analytical models.
• Execute forecasting, scenario analysis, and statistical assessments to support strategic decisions.
• Validate and verify the accuracy of dashboards, reports, and other analytics outputs.
• Work in close collaboration with both the business stakeholders and technical teams to deliver comprehensive data solutions.

Candidate Requirements

• Proven experience in gathering business requirements and facilitating stakeholder engagement sessions or workshops.
• Excellent analytical and problem-solving aptitude.
• Proficient in writing SQL queries for data extraction and analysis.
• Hands-on experience utilizing Python or R for conducting analytical tasks.
• Skilled at data profiling methods and assessing data quality benchmarks.
• Familiarity with forecasting techniques, scenario planning, and statistical data analysis.
• Strong communication skills that enable explaining analytical results effectively to both technical experts and business users.

Additional assets

• Exposure to Strategic Workforce Planning methodologies.
• Experience handling analytics related to HR, Payroll, Finance, or Budgeting.
• Familiarity with Monte Carlo simulations or sensitivity analysis techniques.
• Experience with dashboard prototyping, particularly using Power BI.