Descripción de la oferta
Job Summary
Todos los candidatos deben asegurarse de leer atentamente la siguiente descripción del puesto y la información antes de enviar su solicitud.
As a Data Analyst Senior, you will design, develop, and deploy robust analytical solutions to support key business decisions. You will leverage your expertise in SQL, Python, and Power BI to transform complex data into actionable insights, build scalable data models, and create compelling visualizations that empower business stakeholders.
Under the general direction of the Technical Leader and senior personnel, with moderate latitude for self-direction, work closely with data engineers, BI analysts, and product owners to deliver fast, efficient, and scalable data intelligence solutions for Werfen employees.
Key Accountabilities
Among 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 relationships
It is critical to be able to build relationships 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 advantage
Advanced 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 notebooks
Experience 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 Work
Effectively managing one's time and resources to ensure that work is completed
efficiently.
Emotional Intelligence Essentials
Establishing 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 Partnerships
Developing and leveraging relationships within and across work groups, including cross- functional groups, to achieve results.
Decision Making
Identifying 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 Improvement
Originating action to improve existing conditions and processes; identifying improvement opportunities, generating ideas and implementing solutions. xiphteb
Continuous Learning
Actively 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 application.
