Analytics Engineer Job Description
Analytics Engineer Duties & Responsibilities
To write an effective analytics engineer job description, begin by listing detailed duties, responsibilities and expectations. We have included analytics engineer job description templates that you can modify and use.
Sample responsibilities for this position include:
Analytics Engineer Qualifications
Qualifications for a job description may include education, certification, and experience.
Licensing or Certifications for Analytics Engineer
List any licenses or certifications required by the position: AWS, ITIL, VCP, LEAN, DP, III, IAT, GE, CISSP, CEM
Education for Analytics Engineer
Typically a job would require a certain level of education.
Employers hiring for the analytics engineer job most commonly would prefer for their future employee to have a relevant degree such as Bachelor's and Master's Degree in Computer Science, Engineering, Statistics, Mathematics, Technical, Education, Information Systems, Science, Math, Technology
Skills for Analytics Engineer
Desired skills for analytics engineer include:
Desired experience for analytics engineer includes:
Analytics Engineer Examples
Analytics Engineer Job Description
- Provide periodic updates to Analytical tools, Bug fixes and Maintenance of Dashboards, visualizations, templates
- Provide technical support to End users – Global service
- Develop and Improve data collection tools, methods and processes
- Establish Training material/user guide and train the end user
- Act as SPOC (Single Point of Contact) for Analytical developments for Business
- Support VPDC Management with data Analysis
- Collect customer feedback and Develop case stories, Maintain Best Practices
- Provide multivariate analysis (MVA) modeling for improved process understanding and robustness
- Support the development of dashboards and automated reporting capabilities for process and product robustness
- Research and track material yield by monitoring SAP systems, comparing historical results, generating lot specific reports, and alerting management to any issues
- Strong understanding of Database Administration, Users, Roles, Partitioning, Indexes, built in vendor objects
- Excellent collaboration and teamwork – ability to work cross functionally and cross culturally
- Awareness of Big Data Solutions for un-structured and multi-structured data
- Experience with SAS, R or its equivalent (statistical modelling and statistical analytics)
- Experience with Enterprise/Reference data models
- Distributed data systems, Hadoop preferred
Analytics Engineer Job Description
- Research time, operator, and equipment requirements by material and customer to generate accurate cost estimates for the processing of each material
- Perform other pertinent responsibilities as needed to improve quality, drive compliance, and increase customer satisfaction
- Construct and maintain batch sheet templates by material and customer to ensure that floor operations match the expectations for cost, safety, product yield, and environmental compliance
- Assist Operations/Engineering in building and maintaining additional visual management displays across CCM
- Develop APIs for sharing insights into laboratory process and genotyping data
- Implement analytical models developed by data science teams in enterprise data platforms
- Use internet of things (IoT) best practices to expose new information from laboratory automation systems
- Assist with LIMS development and maintenance, as needed
- As part of a cross-disciplinary development team, identify user requirements, test software code, document new functionality, and measure usage and adoption
- Support the development of data fluency across MBT
- JavaScript/JQuery/HTML5 UI development
- SAS Base including Data Step
- SAS Macros including the ability to design and write flexible and reusable code using SAS Macros
- Enterprise Guide
- SAS Graph software including the creation of data in charts, graphs, and maps drill down
- Real world experience in object-oriented programming, preferably C++/C#
Analytics Engineer Job Description
- Translate structured and unstructured business questions into data analytic problems
- Monitor industry for emerging technologies and trends
- Develop Java related analytics software applications
- Develop apps & new user-facing features
- Develop data ingestion mechanism using tools like Spring XD for Extracting Transforming &
- Build the future
- Become legendary
- Understand (but never accept) the limitations of existing infrastructure
- Identify opportunities and create new detection algorithms
- Guide engineers on the team to develop high quality software
- Strong knowledge of design patterns and their use
- Strong theoretical foundation in data structures and algorithms
- Working experience of R&D and or Engineering company is preferred
- Exposure to Wind Turbine/Heavy Machinery Industry domains is advantage
- Familiar with Linux, Matlab, Maven, Spring and common Java technologies desired
- Practical experience in handling BigData and using Oracle or other relational databases to manage multi-Terabyte scale data
Analytics Engineer Job Description
- Collaborate closely with platform and UI engineers for end to end design and implementation of the analytic functions and features
- Leverage strong engineering & analytics background to design and develop new estimation and prognostic algorithms
- Mentor other engineers in the domain of Estimation & Prognostics
- Maintain direct communication with multiple teams Latin America clients
- Work in the area of big data (deep learning) for predictive maintenance
- Build prototypes to validate proof-of-concepts and collaborate with business units to adopt them to drive growth and create long term value
- Lead thorough discovery discussions with clients to understand both overt and latent pains with particular focus on data analysis and use
- Teaching and learning systems
- Institutional data solutions
- Communication systems (virtual classrooms, notification systems )
- Attention to detail with the ability to see the bigger picture and achieve the proper balance between 100% accuracy and timeliness
- Network - including Session Initiation Protocol, SS7, MSC, SMS, STP
- Programmatic Thinking - including Python, PERL, HTML, XML/JSON, HADOOP/CLUSTER, NFV/SDN
- Experience with the use of and scripting in different software packages like Matlab, SAS, JMP, Minitab, Umetrics SIMCA, and Accelyrs Discoverant is an advantage
- Minimum of a Bachelor’s Degree in Computer Science, Engineering, Information Systems, or other related field
- Experience developing full-stack web applications in Java, Node.js, or Python
Analytics Engineer Job Description
- Develop and deliver custom presentations to key decision makers to address their business issues and needs
- Set up product presentations and evaluation environments and oversee evaluation process
- Help architect and design data analytics suite in Google Analytics and other digital analytics tools using standards and best practices
- Be hands on to provide and code functionality and frameworks of the app analytics when needed
- Help standardize and avoid fragmentation of the analytics across different business units and needs as required
- Collaborate with product, technical, business intelligence, CRM and other business groups to create effective analytics verification structure
- Maintain deep understanding of business requirements to provide strategic analytics integration decision to best position the business in the future
- Help visualize the data information to convey a story from data
- Analyze and identify patterns in the analytics to best advise data driven smart decision
- Maintain understanding of analytics suite and designs across business units
- Experience with the AWS ecosystem, Git, and Docker
- Understanding of and experience with agile software development concepts
- Prior experience with the Spring MVC framework
- Prior experience with the R programming language
- Prior experience with additional cloud computing platforms, such as Google Cloud or Microsoft Azure
- Develop data models for our analytic data warehouse