Data Analyst

Support the preparation, cleansing, and transformation of process event data for analysis and modeling. Assist in exploratory data analysis (EDA) to identify trends, patterns, and anomalies in process data. Contribute to data visualization, dashboards, and reports to communicate insights using tools such as Power BI, Tableau, or Plotly Dash. Collaborate with data scientists to design and test features and metrics for process performance and prediction models, gaining exposure to analytical design principles and learning from implementation feedback. Participate in the creation and maintenance of process data models and pipelines, ensuring data quality and consistency. Work with cross-functional teams to integrate data from multiple enterprise systems (e.g., SAP, Salesforce, ServiceNow) for process analysis. Support process mining initiatives by preparing event logs and assisting with analyses on platforms like Celonis EMS or SAP Signavio. Contribute to documentation, testing, and quality assurance for analytical deliverables. Develop foundational understanding of Responsible AI and Explainable AI (XAI) concepts. 0 2 years of experience in data analytics or data science, including exposure to data preparation, analysis, or visualization. Basic understanding of machine learning or statistical techniques applied to structured or event data. Experience with Python, SQL, and data manipulation libraries (e.g., pandas, NumPy). Exposure to data visualization tools and frameworks such as Power BI, Tableau, Plotly Dash, or Matplotlib/Seaborn. Familiarity with process event or behavioral data and understanding of event logs (case IDs, activities, timestamps) is desirable. Exposure to process-mining platforms (e.g., Celonis EMS, SAP Signavio, or PM4Py) is an advantage. Knowledge of data quality, ETL concepts, or pipeline design is preferred. Enthusiasm to learn AI/ML, process analytics, and MLOps practices in enterprise environments. Bachelor s or Master s degree in Computer Science, Data Science, Engineering, Mathematics, or a related quantitative field. Proficiency in Python and SQL for data analysis and transformation.