Data Analytics Engineer Job Description
Data analytics engineer
provides stakeholders with regular dashboard of key insights and use data manipulation techniques to interrogate complex data sets.
Data Analytics Engineer Duties & Responsibilities
To write an effective data analytics engineer job description, begin by listing detailed duties, responsibilities and expectations. We have included data analytics engineer job description templates that you can modify and use.
Sample responsibilities for this position include:
Participate in R&D activities to support detail design activities as required by product specialists
Design and develop applications for descriptive, prescriptive , and predictive analysis, with the goal of discovering valuable insights from available data
Partner with IT to implement ETL solutions that effectively manage today’s data deluge
Collaborate with data stewards, statistical modelers, DBAs and business to understand data domain and design effective solutions
Lead design and implementation of vendor/contractor provided solutions
Adopt a FastWorks mindset to support Business data and analytics project
Gather and document business and system requirements
Analyze requirements to design and develop optimal BPM and BI solutions
Produce and document standards and best practices
Analyze design and develop a roadmap and implementation plan based upon a current vs
Data Analytics Engineer Qualifications
Qualifications for a job description may include education, certification, and experience.
Licensing or Certifications for Data Analytics Engineer
List any licenses or certifications required by the position: AWS, ITIL, SSL, ASQ, RDS, SQS, SNS, S3, LEAN, DP
Education for Data Analytics Engineer
Typically a job would require a certain level of education.
Employers hiring for the data 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, Mathematics, Statistics, Science, Information Systems, Technical, Education, Business, Computer Engineering
Skills for Data Analytics Engineer
Desired skills for data analytics engineer include:
Python
Current industry trends and techniques to formulate solutions within the context of assigned projects
Data tools
Enhancements
Manipulation
Techniques
R
Alteryx
Informatica
Java
Desired experience for data analytics engineer includes:
Bachelor’s degree or higher in a quantitative discipline such as Statistics, Mathematics, Engineering, Computer Science
Minimum of 5-7 years work experience with proven business experience in consulting, analytics, and modeling
Understanding of CRM initiatives, the media industry, and DCI’s business function
Knowledge of the data management eco-system including concepts of data warehousing, snowflake schemas and ETL
Ideally you have had experience, at professional or personal level, with Apache and Hadoop eco-system
Experience using SQL and traditional data warehouses
Data Analytics Engineer Examples
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Data Analytics Engineer Job Description
Job Description Example
Our innovative and growing company is hiring for a data analytics engineer. Please review the list of responsibilities and qualifications. While this is our ideal list, we will consider candidates that do not necessarily have all of the qualifications, but have sufficient experience and talent.
Responsibilities for data analytics engineer
- Refine and optimize the implemented data processing methods to provide more accurate results or remove inefficiencies
- Drive continuous improvements of the developed methods
- Prototype, program and help ship the next generation of SaaS products that lets users access data, services and data models seamlessly
- Build a scalable web services container architecture the various services including data access, data cataloging, search and discovery, data transformation
- Be responsible for the development of innovative, nonstandard approaches for knowledge discovery and parametric trending of structured and unstructured data and analysis to support advanced health management for complex aerospace systems
- Work as part of an Agile development team of engineers
- Work with Product Managers and technical staff in customer engagements to understand user needs and define requirements for the analytics development and productization
- Create System Functional Design Specifications & manage all system interfaces
- Lead project specific algorithm development
- Support development and calibration activities for all SPS Digital analytics applications
Qualifications for data analytics engineer
- 2+ years of experience in database development and tools such as data mining, OLAP, ETL, data modeling, complex SQL queries, performance tuning, and Oracle 11g+ PL/SQL database development (DDL, DML, stored procedures, ) required
- Experience planning and developing either business or IT initiatives (preference for both)
- Experience using a high level language/framework
- Skilled in implementation of logical and physical data models (including OLTP, Star, and Snowflake schema's) with knowledge of best practices
- Ability to produce high quality documentation of business and system requirements, system design, data architecture, and training materials
- Excellent communication skills with the ability to communicate appropriately at all levels of the organization
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Data Analytics Engineer Job Description
Job Description Example
Our company is looking for a data analytics engineer. Please review the list of responsibilities and qualifications. While this is our ideal list, we will consider candidates that do not necessarily have all of the qualifications, but have sufficient experience and talent.
Responsibilities for data analytics engineer
- Work with the Business Intelligence group to understand existing security data and identify data quality improvements
- Build key data sets to empower operational and exploratory analysis
- Automate and streamline data analysis where feasible
- Understand and define data and analysis requirements for reporting and operational needs
- Provide guidance and develop data standards and reporting best practices
- Maintain and support reports and dashboards running in production
- Significant interaction with HR functional stakeholders and their leadership to promote and guide the growth and maturity of advanced analytics
- Oversight of assigned IT development and support efforts
- Evaluation and application of technology options
- Completing all efforts within schedule and cost parameters
Qualifications for data analytics engineer
- Solid working experience with Java programming language and open source frameworks
- Ability to apply architectural principles to business solutions
- Extensive experience using planning and deploying either Business or IT initiatives (preference for both)
- Experience using high level language/framework
- Art data analytics services and solutions to support analysts with enhanced analytical capabilities and insights
- BS or MS in Computer Science, Engineering, Statistics, Mathematics
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Data Analytics Engineer Job Description
Job Description Example
Our company is growing rapidly and is searching for experienced candidates for the position of data analytics engineer. Thank you in advance for taking a look at the list of responsibilities and qualifications. We look forward to reviewing your resume.
Responsibilities for data analytics engineer
- Explore and examine data from a variety of angles using appropriate profiling techniques to understand the data and determine hidden weaknesses, trends, and/or opportunities
- Assist in the evaluation of tools for doing visual and quantitative analysis, tools and techniques for deploying predictive and prescriptive solutions
- Plan, implement, automate, evaluate and maintain security requirements in partnership with InfoSec
- Understand and recommend OS settings to provide an optimal environment for data services (Linux SysAdmin experience is necessary)
- Of the Movement Planner business from early customer engagement through
- Design, develop, implement, and evolve franchise-specific data pipelines
- Work with the franchise team as technical lead and primary technical resource
- Plan and coordinate franchise-specific technical projects
- Innovate in a more agile environment and summarize ideas/approaches to the Core Data team for validation and potential integration into core data infrastructure
- Ensure no deviation from core data
Qualifications for data analytics engineer
- Should have developed code using object-oriented analysis and programming languages such as C++, Java, J2EE and Scala
- Should be well versed in responsive web application development, mobile environments development and technologies such as Spring (Core, Boot, REST, JDBC, Security, AOP), XML, Apache Maven, Applications servers, virtual machines in remote environment
- Should be proficient in developing MEAN stack applications using javascript frameworks like AngularJS/Backbone.js & Node.js
- Should have Core web development expertise in JavaScript, Ajax, HTML5 & CSS3, Bootstrap
- Good to have experience in developing interactive charts/graphs using Highcharts, HighStocks or D3.js
- Good to have experience in ORM technologies like Hibernate and RDBMS MySQL and SQL performance analysis and tuning
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Data Analytics Engineer Job Description
Job Description Example
Our innovative and growing company is searching for experienced candidates for the position of data analytics engineer. Please review the list of responsibilities and qualifications. While this is our ideal list, we will consider candidates that do not necessarily have all of the qualifications, but have sufficient experience and talent.
Responsibilities for data analytics engineer
- Data integration, build, improve and follow up analysis model
- Track the latest data analysis and data mining technology and results
- Provide support on requirement development and assist in documenting requirements
- Support the team in developing analytic data sources for use by data scientists, research, and business users
- Execute rapid development of new data and analytic work tracks with fast iteration over quick sprints
- Provide support in breaking down business problems into solvable components by assessing the requirements and/or business implications to arrive at recommended solutions, with minimal supervision
- Help develop and deliver the data infrastructure required to support needs of predictive modeling and analytics with minimal supervision
- Help execute the development of new concepts and proof of concept designs
- Utilize a multidisciplinary approach to Data Analytic problems combining technical expertise with analytics and business knowledge
- Work with Data Scientists and business partners on embedded cross functional teams
Qualifications for data analytics engineer
- Experience with various BI Platforms (OBIEE, Tableau, MicroStrategy)
- Must have superior communication skills - both oral and
- BSc level in a technical discipline or the equivalent level of knowledge, or
- Degree or equivalent in Mathematics, Statistics, Physics or similar
- Passion for challenges solving
- Collaborative, open approach with ability to work both independently and as part of a multi-country team
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Data Analytics Engineer Job Description
Job Description Example
Our innovative and growing company is hiring for a data analytics engineer. To join our growing team, please review the list of responsibilities and qualifications.
Responsibilities for data analytics engineer
- Create custom code/scripting to support optimization and analytics projects with focus on big data file manipulation and statistical analysis
- Appropriately evaluate and tune models to insure business objectives are achieved
- Act as a primary technical liaison between the Blizzard Analytics teams and the Core Data / Tools and Technology teams
- Act as a primary technical liaison between the MLG Analytics teams and the Core Data / Tools and Technology teams
- Manipulate and analyze complex data from varying sources and recommend ways to apply the data
- Present and communicate complex analytical data and results to varying audiences with a keen understanding of the needs of the audience
- Plan, implement, evaluate and maintain security requirements in partnership with InfoSec
- Support integration of disparate data sources into analytical data sets including system logs and databases
- Analysis of datasets and development of statistical models
- Support the development of machine learning models
Qualifications for data analytics engineer
- Hands on experience with continuous integration and continuous deployment tools including Chef, Jenkins
- Fast executor with a track record of delivering complex projects on time
- 5+ years of Data extraction/modeling experience, including ETL experience in traditional data (MSSQL, Oracle etc) and Big data platform using Hadoop ecosystem (Spark, Hive, NiFi, Sqoop, Flume )
- Masters in Mathematics/Statistics/Engineering/Information Technology/Computer Science or related field with 0-3 years experience is required in data analytics and machine learning algorithm development and testing
- Deep experience with at least one RDBMS platform, and advanced SQL skills in at least one dialect (Oracle, Teradata, MySQL)
- Experience with at least one BI reporting tool (Tableau, MicroStrategy, Business Objects, Pentaho)