Senior Analytics Engineer

$145,600 - $151,840/Yr

Ihire - Summit, NJ

posted 2 months ago

Full-time - Senior
Summit, NJ
10,001+ employees
Administrative and Support Services

About the position

Innova Solutions is immediately hiring for a Senior Analytics Engineer. This position is crucial for performing data engineering, preprocessing, exploratory data analysis, and model development by interacting with a variety of databases. The Senior Analytics Engineer will be responsible for the ingestion, integration, and delivery of data across multiple platforms, ensuring the maintenance of data integrity and adherence to clean data principles. This role requires leading team code reviews and improving programming practices within the team. The Senior Analytics Engineer will independently coordinate and manage analytics projects across several departments and with cross-functional stakeholders. The ability to work on a global team and communicate effectively across various time zones is essential. Regular communication with team members to provide updates and collaborate on deliverables is expected. The engineer will be accountable for leading, documenting, and managing analytics User Requirement Specifications (URS) and User Acceptance Testing (UAT) through execution for Global Process Owners (GPO). Additionally, the role involves engaging colleagues who complete data-related activities and designing digital solutions that streamline access to analytics and data. Working closely with domain Subject Matter Experts (SMEs) to derive insights and value to improve manufacturing-related data transformations and initiatives is a key responsibility. The ideal candidate will display a high level of teamwork and collaboration both within and across functions, utilizing supervised or unsupervised methods to learn from vast amounts of unlabeled data to drive insights. The Senior Analytics Engineer will ensure lifecycle management of code is maintained through version control and associated repositories, developing high-quality analytical and statistical models, insights, patterns, and visualizations that can be used to improve decision-making in manufacturing operations. Documentation of all technical work, both within and outside of formal document management systems, is also a critical part of this role. The engineer will independently develop code and analytical models to automate data transformation and analysis.

Responsibilities

  • Perform 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.
  • Maintain and uphold data integrity and clean data principles.
  • Lead team code reviews and improve team programming practices.
  • Independently coordinate and manage analytics projects across several departments and with cross-functional stakeholders.
  • Communicate regularly with team members to provide updates and collaborate on deliverables.
  • Lead, document, and manage analytics URS and UAT through execution for GPO.
  • Engage colleagues who complete data-related activities.
  • Design and deliver digital solutions that streamline access to analytics and data.
  • Work with domain SMEs to derive insight and value to improve manufacturing-related data transformations and improvement initiatives.
  • Utilize supervised or unsupervised methods to drive insights from vast amounts of unlabeled data.
  • Ensure lifecycle management of code is maintained through version control and associated repositories.
  • Develop high-quality analytical and statistical models, insights, patterns, and visualizations to improve decision-making in manufacturing operations.
  • Document all technical work both within and outside of formal document management systems.
  • Independently develop code and analytical models to automate data transformation and analysis.

Requirements

  • 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, dashboarding) experience.

Benefits

  • Medical & pharmacy coverage
  • Dental/vision insurance
  • 401(k)
  • Health saving account (HSA)
  • Flexible spending account (FSA)
  • Life Insurance
  • Pet Insurance
  • Short term and Long term Disability
  • Accident & Critical illness coverage
  • Pre-paid legal & ID theft protection
  • Sick time
  • Employee Assistance Program (EAP)
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