Lead Analytics Engineer

2 weeks ago


Summit, New Jersey, United States ECLARO Full time

Position Overview:

The role of the Senior Analytics Engineer involves a flexible work arrangement, allowing for collaboration with various Client locations. The position entails a significant on-site presence to foster teamwork and project execution.

Essential Skills:

- Proficient in SQL with over 5 years of experience

- At least 2 years of hands-on experience with dbt

- Extensive background (5+ years) in relational database management

- A Master's degree in Computer Science, Chemical Engineering, Biostatistics, or a related field with a minimum of 6 years of industry experience, or a PhD in a similar discipline with at least 3 years of relevant experience

- Intermediate proficiency in Python programming

- Experience in data visualization tools such as Tableau or similar

Key Responsibilities:

  • Conduct data engineering tasks, including preprocessing, exploratory data analysis, and model development by engaging with diverse databases
  • Oversee the ingestion, integration, and dissemination of data across various platforms
  • Ensure the maintenance of data integrity and adherence to clean data principles
  • Lead team code reviews and enhance programming practices within the team
  • Independently manage and coordinate analytics projects across multiple departments and with cross-functional stakeholders
  • Collaborate effectively with a global team, communicating across different time zones
  • Regularly update team members and collaborate on project deliverables
  • Accountable for leading and documenting analytics User Requirement Specifications (URS) and User Acceptance Testing (UAT)
  • Guide and engage colleagues involved in data-related tasks
  • Design and implement digital solutions that facilitate access to analytics and data
  • Work closely with subject matter experts to extract insights and enhance manufacturing data transformation initiatives
  • Exhibit strong teamwork and collaboration skills across functions
  • Utilize supervised or unsupervised learning techniques to derive insights from extensive unlabeled data
  • Experience in processing unstructured text data
  • Maintain lifecycle management of code through version control and associated repositories
  • Create high-quality analytical and statistical models, insights, and visualizations to support decision-making in manufacturing operations
  • Document all technical work comprehensively, both within and outside formal document management systems
  • Independently develop code and analytical models to automate data transformation and analysis processes


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