Summary
Hexagon's Manufacturing Intelligence Division is seeking a Data Analyst with prior experienceor interest in the HR function. Familiarity with SuccessFactors and ERP systems is a strong advantage.
Hexagon is a global leader in digital reality solutions, combining sensor, software, and autonomous technologies to drive efficiency, productivity, quality, and safety across manufacturing, industrial, and infrastructure ecosystems. We are committed to empowering an autonomous, sustainable future, where economic growth does not come at the expense of the planet and its people.
Job Responsibilities
Job Description:
We are looking for a dynamic Data Analyst to design and build reports, metrics, and dashboards using tools such as SuccessFactors reporting tools, Power BI, Python, Pyramid, and Excel. The ideal candidate will manage the entire reporting lifecycle, from gathering requirements to delivering actionable insights. Additionally, the role will involve developing and implementing advanced analytics solutions, leveraging statistical techniques and predictive modeling to support strategic decision-making and drive the organization’s data-driven initiatives.
Core Areas of Responsibility/ Accountability
- Conduct in-depth data analysis to identify trends, patterns, and opportunities for optimization.
- Collaborate with cross-functional teams to interpret data, generate predictions, and deliver data-driven recommendations.
- Design and implement machine learning algorithms using Python to support data-driven decision-making.
- Provide data insights using Power BI, Python, SuccessFactors reporting tools (e.g., tiles, dashboards, and stories), and ERP reporting ensuring timely delivery of solutions.
- Conduct regular audits to ensure data integrity and maintain high-quality datasets, escalating data issues to appropriate data owners for resolution.
- Perform advanced Excel-based activities, including VLOOKUP, conditional formatting, pivot tables, macros, and VBA scripting.
Qualifications
Required Skills and Qualifications
- Proficiency in statistical analysis tools such as Python, R, or SAS.
- Extensive experience with reporting and visualization tools such as Power BI or Tableau.
- Strong understanding of machine learning algorithms and data mining techniques.
- Bachelor’s degree in Statistics, Data Science, or a related field.
Preferred Skills and Qualifications
- Master's degree in Data Analytics or a related discipline.
- Experience in predictive analytics and forecasting in a professional setting.
- Previous experience or interest in implementing advanced analytics within HR function.