13 Senior Analytics Engineer Jobs in Summit, NJ
Eclaro is Hiring a Senior Analytics Engineer Near Summit, NJ
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.
- 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.
- 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.
- Advanced SQL skills (5 years).
- 2 years’ experience working with DBT.
- 5 years working with relational databases.
- M.S. in Computer Science, Chemical Engineering, Biostatistics or similar with 6 years industry experience or Ph.D. in Computer Science, Chemical Engineering, Biostatistics or similar with 3 years industry experience.
- Intermediate Python skills.
- Intermediate visualization (Tableau, Dashboarding) experience.
- Ability to work on a global team and communicate across several time zones.
- Experience working with unstructured text.
- Dashboard development experience (Tableau, Spotfire, and DASH).
- Proficient in writing and developing analytical and machine learning models using python modules including Pandas, NumPy, Scikit-learn, and TensorFlow.
- Experiencing 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.
- 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.
- Strong background and demonstrable experience in Natural Language Processing and Computational Linguistics.
- Scrum experience.
- Familiar with NET / SAP.
- Knowledge of deep learning methods for NLP (quantitative area of study, Computer Science).
- Experience working with the Pharmaceutical Industry.
- Experience working with ERP systems.
- 401k Retirement Savings Plan administered by Merrill Lynch
- Commuter Check Pretax Commuter Benefits
- Eligibility to purchase Medical, Dental & Vision Insurance through Eclaro
Paul QuibuyenChristian.Quibuyen@eclaro.com6466952942Paul Quibuyen | LinkedInEqual Opportunity Employer: Eclaro values diversity and does not discriminate based on Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.
Job Summary
Contractor
Retail
$130k-160k (estimate)
08/29/2024
02/23/2025
eclaro.com
LICHTENVOORDE, GELDERLAND
500 - 1,000
1999
L. F. W. LUTTIKHOLD-KRABBENBORG
<$5M
Retail
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The job skills required for Senior Analytics Engineer include SQL, Python, Data Engineering, Data Warehouse, Computer Science, Analysis, etc. Having related job skills and expertise will give you an advantage when applying to be a Senior Analytics Engineer. That makes you unique and can impact how much salary you can get paid. Below are job openings related to skills required by Senior Analytics Engineer. Select any job title you are interested in and start to search job requirements.
The following is the career advancement route for Senior Analytics Engineer positions, which can be used as a reference in future career path planning. As a Senior Analytics Engineer, it can be promoted into senior positions as a Database Engineer IV that are expected to handle more key tasks, people in this role will get a higher salary paid than an ordinary Senior Analytics Engineer. You can explore the career advancement for a Senior Analytics Engineer below and select your interested title to get hiring information.
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