Data Analytics Engineer

Remote - US, United States

Novanta

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Build a career powered by innovations that matter!  At Novanta, our innovations power technology products that are transforming healthcare and advanced manufacturing—improving productivity, enhancing people’s lives and redefining what’s possible.  We create for our global customers engineered components and sub-systems that deliver extreme precision and performance for a range of mission-critical applications—from minimally invasive surgery to robotics to 3D metal printing.

Novanta is one global team with over 26 offices located in The Americas, Europe and Asia-Pacific.  Looking for a great place to work?  You have found it with a culture that embraces teamwork, collaboration and empowerment.  Come explore Novanta.

Company Overview

Build a career powered by innovations that matter!  At Novanta, our innovations power technology products that are transforming healthcare and advanced manufacturing improving productivity, enhancing people’s lives and redefining what’s possible.  We serve as a trusted technology partner to medical and advanced industrial original equipment manufacturers (OEMs) worldwide, engineering components and sub-systems that deliver extreme precision and performance for a range of mission-critical applications from minimally invasive surgery to robotics to 3D metal printing.

Novanta is a global organization with offices located throughout EMEA, The Americas and Asia Pacific.  Novanta is a publicly traded company on NASDAQ under symbol NOVT.

Business Overview

Novanta’s Corporate and Shared Services teams play an important role in executing the company’s strategic mission and operations. Included in Corporate and Shared Services are the business functions including Finance, Accounting, Human Resources, Information Technology, Legal, Compliance, Corporate Development and Corporate Marketing. The Corporate and Shared Services teams work closely with all Novanta business units to support operating initiatives contributing to the organization’s financial success.

Summary

You will analyze data requirements and design effective data solutions and models, and implement data management frameworks to ensure a consistent, scalable, and secure analytics development environment.

Primary Responsibilities

  • Drive data and analytics architecture.
  • Design database systems, data models, and other data architecture.
  • Define reference architecture and perform data mapping.
  • Collaborate with data governance experts to drive data discoverability, standardization compliance, and quality.
  • Develop and maintain complex data models for business data analysis and reporting purposes.
  • Collaborate with stakeholders and cross-functional teams to understand data requirements and design appropriate data models that align with business needs.
  • Evaluate and recommend data modeling tools and technologies to improve efficiency and accuracy of data modeling processes.
  • Create and maintain data dictionaries and metadata repositories to ensure consistency and integrity of data models.
  • Identify and resolve data model performance issues to optimize database performance and enhance overall system functionality.
  • Document and communicate data model designs and standards to ensure understanding and compliance across the organization.
  • Stay current with industry best practices and trends in data modeling and incorporate new techniques and methodologies into our data modeling processes.

General Tasks

  • Maintain strict compliance with the quality, environmental and occupational health and safety regulations and implementation of the
  • Job Description – Position Title instructions of the quality, environmental management and/or occupational health and safety officer.

Required Experience, Education, Skills, Training and Competencies

  • Expert knowledge with Snowflake, Mulesoft experience desirable.
  • Strong understanding of SQL and data modeling concepts
  • Proficiency in data modeling tools such as Erwin or Visio
  • Ability to create and maintain conceptual, logical, and physical data models
  • Familiarity with data warehousing and ETL processes
  • Knowledge of industry best practices for data modeling and database design
  • Excellent communication and documentation skills.
  • Strong analytical and problem-solving skills
     

Travel Requirements   

  • Travel as needed
     

Physical Requirements

  • Lifting up to 10 pounds
  • Mobility to work in a standard office setting and to use standard office equipment, including a computer.
  • Ability to use vison to read computer screen and read printed materials
     

(*) Common European Framework of Reference for Languages (CEFR)

Novanta is proud to be an equal employment opportunity and affirmative action workplace. We consider all qualified applicants without regard to race, color, religion, sex (including pregnancy), sexual orientation, gender identity or expression, national origin, military and veteran status, disability, genetics, or any other category protected by federal law or Novanta policy.

Please call +1 781-266-5700 if you need a disability accommodation for any part of the employment process.

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Tags: Architecture Data analysis Data Analytics Data governance Data management Data Warehousing Engineering ETL Finance Industrial Robotics Snowflake SQL

Perks/benefits: Career development

Regions: Remote/Anywhere North America
Country: United States

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