Analytics and Reporting - Senior Analytics Engineer - TechDigital Group : Job Details

Analytics and Reporting - Senior Analytics Engineer

TechDigital Group

Job Location : Summit,NJ, USA

Posted on : 2025-05-09T00:57:20Z

Job Description :
Analytics and Reporting - Senior Analytics Engineer

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, dashboarding) 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.
  • Independently coordinates and manages 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.

    • Requirements:

  • MS in Computer Science, Chemical Engineering, Biostatistics or similar with 3-6 years industry experience or PhD in Computer Science, Chemical Engineering, Biostatistics or similar with 3 years industry experience.
  • Dashboard development experience (Tableau, Spotfire, DASH).
  • Proficient in writing and developing analytical and machine learning models using python modules including pandas, numpy, scikitlearn, and tensorflow. Experience developing and implementing MLOps pipelines.
  • Experience building analytical and statistical models to answer key business questions.
  • Experience using git via the command line.
  • Strong understanding of core statistical concepts to solve real world problems.
  • Intermediate to advanced proficiency (3+ years post academia experience as an independent contributor designing and delivering data solutions) in SQL.
  • Experience interacting with various data warehouses and large-scale, complex datasets using ETL and BI tools and platforms.
  • Self-motivated to identify and propose Client methodologies that will drive increased efficiency.
  • Demonstrate expert knowledge in machine learning and rule-based systems as applied to computational linguistics and natural language processing, as well as development and execution of annotation tasks with teams of experts.
  • Proficiency in mathematics with the skill to translate complex mathematical algorithms into usable computational methods.
  • Experience with data mining and analysis techniques across disparate data sources.
  • Experience working in LINUX/UNIX environments.
  • Experience interacting with PostgresSQL, Oracle, Impala Cloudera, Okera or similar databases.
  • Experience with JupyterLabs, Anaconda, and RStudio.
  • Intermediate proficiency with python.
  • Experience developing visualizations using a variety of methods (plotly, matplotlib, seaborn).
  • Experience working within Domino Data Lab projects.
  • Technical knowledge of performance tuning and query optimization across large data sets.
  • Experience with data cataloguing and enablement through APIs.
  • Experience with a variety of computer science languages (C++, Java, html/css).
  • Exposure to bioprocess engineering/cell therapy data.
  • Knowledge of GxP requirements (preferably related to data and code management).
  • Experience with Program/Project Management. SCRUM experience highly desired.

    • Preferred:

  • Familiar with NET/SAP.
  • Knowledge of deep learning methods for NLP (quantitative area of study, Computer Science, preferred).
  • Strong background and demonstrable experience in Natural Language Processing and Computational Linguistics is required.
  • Experience working with the pharmaceutical industry.
  • Experience working with ERP systems.
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