Senior Analytics Engineer
4 weeks ago
Description:
Job Description: Position location can be anywhere near a Client location within NJ. Any site can be utilized and 50% on-site requirement.
Top Skills:
-Advanced SQL skills (5+ years)
-2+ years' experience working with dbt
-5+ years working with relational databases
-MS in Computer Science, Chemical Engineering, Biostatistics or similar with 6 years industry experience or PhD in Computer Science, Chemical Engineering, Biostatistics or similar with 3 years industry experience
-Intermediate python skills
- Intermediate visualization (tableau, dash boarding) experience
Responsibilities
- Performs data engineering, preprocessing, exploratory data analysis, and model development by interacting with a variety of databases
- Responsible for ingestion, integration and delivery of data across multiple platforms
- Works to maintain and uphold data integrity and clean data principles
- Responsible for leading team code review and improving team programming practices
- Responsible for independently coordinating and managing analytics projects across several departments and with cross functional stakeholders
- Ability to work on a global team and communicate across several time zones
- Communicates with team members regularly to provide updates and collaborate on deliverables.
- Accountable for leading, documenting and managing analytics URS and UAT through execution for GPO
- Lead and engage colleagues who complete data related activities
- Design and deliver digital solutions that streamline access to analytics & data
- Work with domain SMEs to derive insight and value to improve manufacturing related data transformations and improvement initiatives.
- Displays a high level of teamwork and collaboration both within and across functions
- Utilizes supervised or unsupervised methods, learning from vast amounts of unlabeled data to drive insight
- Experience working with unstructured text
- Ensures life cycle management of code is maintained through version control and associated repositories.
- Develops high quality analytical and statistical models, insights, patterns, visualizations, that can be used to improve decision making in manufacturing operations.
- Responsible for documentation of all technical work both within and outside of formal document management systems
- Independently develops code and analytical models to automate data transformation and analysis
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