Data Analyst Senior
Role details
Job location
Tech stack
Job description
solutions for Werfen employees. Key AccountabilitiesAmong others, you will:Work with the team and business stakeholders to identify requirements, define models, and kickstart new analytics initiatives.Develop and maintain complex, scalable data models with SQL and Python within our enterprise data platform.Have deep knowledge of datasets within the data platform, serving as subject matter expert for data availability, lineage, and quality. Provide guidance to stakeholders regarding data assets and usage.Select and apply the appropriate analytical methodologies and data modeling techniques to address specific business needs.Leverage creative solutions, analytics, and visualization/ reporting techniques to enhance knowledge and drive actionable insights that deliver ROI.Champion, promote, and practice data modeling best practices, code quality, and documentation.Works with limited oversight of the technical leader. Networking/Key relationshipsIt is critical to be able to build relationships
Requirements
based in trust within the organization as the function is to respond to the internal customer needs while taking into consideration the overall corporate strategy. Minimum Knowledge & Experience required for the position:5 years of relevant work experience in a similar role in a large company. With experience from multiple projects.Experience with manufacturing, logistics, R&D and production quality data is an advantageAdvanced SQL including window functions, CTEs, and query optimization.Strong proficiency in Python for data analysis, manipulation, and automation, including popular libraries and tools such as Pandas, SciPy, Seaborn, Jupyter/iPython notebooksExperience in Power BI, Qlik or other dashboarding software.Experience developing, testing, and deploying data transformation pipelines using dbt.Preferred:AWS, Microsoft Azure cloud computing, or similar.Familiarity with DataOps principles.Familiar with Agile methodologies.Git software versioning. Skills & Capabilities:We expect you to demonstrate proficiency in data analysis and have a keen interest in understanding various business domains. We will also need you to be able to communicate data concepts to non-technical colleagues. You are fluent in English both orally and in writing.Strong analytical and problem-solving skills, with keen attention to detail.Skilled in extracting insights from complex datasets.Excellent time management and prioritization abilities.You have good presentation skills.You can communicate well within the team and with stakeholders.You can analyze business requirements in dialogue with internal stakeholders.You can collaborate directly with external consultants and vendors.You are a team player willing to share knowledge, ideas, and banter. Travel requirements:5% of time. Individual Contributor Core Competencies:Managing WorkEffectively managing one's time and resources to ensure that work is completedefficiently.Emotional Intelligence EssentialsEstablishing and sustaining trusting relationships by accurately perceiving and interpreting own and others' emotions and behavior; leveraging insights to effectively manage own responses so that one's behavior matches one's values and delivers intended results.Building PartnershipsDeveloping and leveraging relationships within and across work groups, including cross- functional groups, to achieve results.Decision MakingIdentifying and understanding problems and opportunities by gathering, analyzing, and interpreting quantitative and qualitative information; choosing the best course of action by establishing clear decision criteria, generating and evaluating alternatives, and making timely decisions; taking action that is consistent with available facts and constraints and optimizes probable consequences.Continuous ImprovementOriginating action to improve existing conditions and processes; identifying improvement opportunities, generating ideas and implementing solutions.Continuous LearningActively identifying new areas for learning; regularly creating and taking advantage of learning opportunities; using newly gained knowledge and skill on the job and learning through their