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Product Data Analyst Jobs
Company | Kenvue |
Address | Skillman, NJ, United States |
Employment type | FULL_TIME |
Salary | |
Category | Retail Health and Personal Care Products |
Expires | 2023-08-25 |
Posted at | 9 months ago |
- Intellectually curious about new technologies and are constantly learning in Data, AI & Cloud space
- What is expected of you?
- Owners (of their work) and get things done
- Collaborative – as engineers and as business problem-solvers
- Looking for a long-term home to build a career (where you can love your life and your work)
- Create production-ready data workflows including automation, CI/CD pipelines and ensure data quality and availability
- Expert at ETL and ELT strategies for both unstructured and structured data to allow efficient analytics and modelling
- Demonstrate intellectual curiosity and collaborate with innovation and delivery teams to build data engineering expertise using structured and alternate data sources
- Drive effective teamwork, communication, collaboration and adoption across Supply Chain, Commercial and R&D peers and vendor partners
- Working in an agile development team to iteratively deliver system updates and product releases.
- Act as a Coach and Mentor to drive Automation, DevOps and industry best practices to developing Data and Analytics solutions
- Develop a solid understanding of the business, strategic direction, overall organizational goals and individual user needs.
- Work with Data modelers, solution and data architects to design and implement proof of concept solutions and Big Data Analytics solutions by integrating diverse data sources, model and harmonize and develop data assets consumption patterns that deliver on the desired customer experiences.
- Create data warehouse solutions using Snowflake and other Cloud data warehouse solutions
- Collaborating with the Product Owners and Business Partners to review product requirements and user stories, propose viable implementation options, and define specific software tasks.
- Provide oversight and management of development activities and ensure consistent standards are being adhered to.
- Excellent written and oral communication skills
- Knowledge and expertise of data modeling techniques and standard methodologies (Relational, Dimensional), plus any experience with data modeling tools (eg. Power Designer).
- A minimum of bachelor’s degree in a technology-related field (e.g. Computer Science, Engineering, etc.) or commensurate hands-on experience is required.
- Experience with DevOps, Continuous Integration and Continuous Delivery. Developing and deploying pipelines preferred.
- Outstanding SQL skills and experience performing deep data analysis on multiple database platforms.
- Strong expertise in all aspects of data movement technologies (ETL/ELT) and experience with schedulers.
- 3-5 years or more of related experience in data engineering, data profiling/analysis, data warehouses, and data lakes. Specialist understanding and experience in methodologies like data warehousing, data visualization and data integration.
- Proven track record of working in collaborative teams to deliver high-quality data solutions in a multi-developer agile environment following design & coding standard methodologies.
- Solid experience with Azure data warehousing and related technologies (Databricks, ADF, SQL DW, Power BI, ADLS, etc.) or other Cloud Data warehousing services.
- Competitive Benefit Package
- Learning & Development Opportunities
- Paid Company Holidays, Paid Vacation, Volunteer Time, Summer Fridays & More!
- Employee Resource Groups
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