Lead Data Analyst

Job Description

Key Responsibilities: Serve as the main contact for project execution and collaboration across teams. Partner with consultants and business stakeholders to develop and refine hypotheses. Utilize Celonis process mining software to perform data analysis and build models. Rapidly develop and iterate on analytics models, incorporating feedback and refining outcomes with the data analytics team. Assess and understand client data and technology environments. Build, automate, and clean data models, maintaining data quality through rigorous standards. Establish quality benchmarks for data accuracy and create relevant quality checklists. Manage the deployment of final solutions and establish plans for ongoing support. Promote process intelligence to business stakeholders and foster strong business connections. Required Qualifications: 8-12 years of experience in analytics, including data analysis, visualization, and close collaboration with IT and business stakeholders. Hands-on experience with Celonis Platform for process mining and intelligence. Strong data handling skills, including insight extraction, benchmarking, and a solid understanding of process intelligence. Proven ability to create and deliver Celonis dashboards. Proficiency in reporting tools such as Tableau, Power BI, or Qlik. Excellent mathematical, analytical, and problem-solving skills. Experience with data exploration tools and SQL databases. Preferred Qualifications: Knowledge of accounting, financial reporting, and SAP backend tables. Proficiency in SQL and Python. Strong financial and business acumen. Techno-functional approach to problem-solving.