Business / Data Analyst / Data Scientist
Summary
Analyzes enterprise data to build forecasting models and KPIs that guide workforce planning and organizational decisions using SQL, Python/R, and Power BI.
Are you passionate about turning data into meaningful business insights? Do you enjoy working closely with stakeholders, analyzing complex datasets, and helping organizations make data-driven decisions? Would you like to contribute to an international analytics initiative focused on workforce planning and enterprise intelligence? Then we have an exciting opportunity for you!
The international IT company Intetics is looking for a Business / Data Analyst / Data Scientist to join our team.
The role involves gathering business requirements, analyzing enterprise data, developing analytical models, and supporting decision-making through data-driven insights. You will collaborate with business stakeholders and technical teams to deliver reporting, forecasting, scenario modeling, and analytical solutions that support strategic workforce planning and organizational development.
Requirements
Responsibilities:
- Gather and analyze business requirements from stakeholders.
- Translate business needs into functional and analytical specifications.
- Analyze and profile enterprise data to ensure quality and consistency.
- Develop KPIs, reporting frameworks, and analytical models.
- Perform forecasting, scenario modeling, and statistical analysis.
- Validate dashboards, reports, and analytical outputs.
- Collaborate with business and technical teams to deliver data-driven solutions.
Requirements
- Experience gathering business requirements and conducting stakeholder workshops.
- Strong analytical and problem-solving skills.
- Practical experience with SQL for data analysis.
- Experience using Python or R for analytical tasks.
- Experience with data profiling and data quality assessment.
- Knowledge of forecasting, scenario modeling, or statistical analysis.
- Ability to communicate analytical findings to both technical and business audiences.
Nice to Have:
- Experience with Strategic Workforce Planning.
- Experience with HR, Payroll, Finance, or Budgeting analytics.
- Experience with Monte Carlo simulations or sensitivity analysis.
- Experience prototyping dashboards using Power BI.