Analytics Engineer Resume Sample
Work Experience
- Loves logs - finding them, normalizing them, storing them, and deriving detective meaning from them
- Background work in data mining or data science
- Able and willing to review and take action on alerting
- Technical acumen sufficient to understand a threat's potential impact on a security control
- Experience collecting and managing IoC data and management tools, and applying IoCs to a security lifecycle
- Experience with the incident response process, including incident handling, and IR process improvement
- Involvement with Security program design and implementation on a technical level (system and application building)
- Threat Intelligence, IDS, and/or SIM tool selection, implementation, operation
- Assist in the design of custom analytics reports and database queries
- Collaborate on and lead the construction of new tools to handle future analytics needs
- Identify trends in user behavior using integrated analytics systems
- Provide ad hoc Customized Reports and Analysis to Project Lead
- Assist in the implementation of additional Analytics API calls for custom in-game events in the codebase
- Analyze key insight trends and build models that predict customer behavior, using statistical rigor to simplify and provide thought leadership to device product and marketing groups
- Analyze and recommend performance and capacity upgrades needed for customer-facing data systems and services
- Open source research experience, and knowledge of one or more applicable tools
- Deep understanding of logging and monitoring systems, including appropriately sourcing raw data and leveraging correlation
- Solid scripting ability, including a combination of Windows Powershell, Linux shell, Perl, and/or Python
- Splunk, Hadoop, and/or ELK expertise
- Previous tenure in a threat intelligence team, incident response team, and/or SoC
- Understanding of the investigative process, and ability to exercise sound judgement in resolving issues
- Strong Linux understanding
- Experience reviewing and resolving DLP alerts
- Maintain existing data analytics systems constructed with R and Python
Education
Professional Skills
- Strong datamining skills coupled with quantitative and analytical skills
- Strong data analytic skills and modeling experiences are mandatory
- Perform as a champion within the organization, possessing strong cross-functional collaboration and influencing skills
- Strong collaborator, analytical, problem solving and decision-making skills
- Demonstrated problem solving ability. Good follow-up skills, and the ability to meet deadlines on multiple projects/programs
- Strong oral / written communication and influencing skills
- Experience in a construction, manufacturing and/or research environment with related statistical analysis, data mining and technical leadership skills
How to write Analytics Engineer Resume
Analytics Engineer role is responsible for technical, analytics, organization, sql, maintenance, database, reporting, design, research, modeling.
To write great resume for analytics engineer job, your resume must include:
- Your contact information
- Work experience
- Education
- Skill listing
Contact Information For Analytics Engineer Resume
The section contact information is important in your analytics engineer resume. The recruiter has to be able to contact you ASAP if they like to offer you the job. This is why you need to provide your:
- First and last name
- Telephone number
Work Experience in Your Analytics Engineer Resume
The section work experience is an essential part of your analytics engineer resume. It’s the one thing the recruiter really cares about and pays the most attention to.
This section, however, is not just a list of your previous analytics engineer responsibilities. It's meant to present you as a wholesome candidate by showcasing your relevant accomplishments and should be tailored specifically to the particular analytics engineer position you're applying to.
The work experience section should be the detailed summary of your latest 3 or 4 positions.
Representative Analytics Engineer resume experience can include:
- Ensures use of new analytics applications & tools. Stays abreast of the fast-evolving space of Data Science in areas such as Big Data, AI/Machine Learning, and Predictive Analytics
- Demonstrate the ability to quickly, effectively, and accurately use data mining/analysis techniques to determine project benefits
- Proven experience as programming developer of tooling for doing the Advanced Analytics
- Demonstrated experience making and communicating risk-based decisions and recommendations based on imperfect historical data
- Strong technical experience in data scientist, big data analytic and cloud computing
- Proven experience in statistical tools, database and programming languages. Statistical software, SQL and tableau is an asset
Education on an Analytics Engineer Resume
Make sure to make education a priority on your analytics engineer resume. If you’ve been working for a few years and have a few solid positions to show, put your education after your analytics engineer experience. For example, if you have a Ph.D in Neuroscience and a Master's in the same sphere, just list your Ph.D. Besides the doctorate, Master’s degrees go next, followed by Bachelor’s and finally, Associate’s degree.
Additional details to include:
- School you graduated from
- Major/ minor
- Year of graduation
- Location of school
These are the four additional pieces of information you should mention when listing your education on your resume.
Professional Skills in Analytics Engineer Resume
When listing skills on your analytics engineer resume, remember always to be honest about your level of ability. Include the Skills section after experience.
Present the most important skills in your resume, there's a list of typical analytics engineer skills:
- Demonstrated experience utilizing advanced descriptive statistics and analysis techniques (such as forecasting, analysis of variance, t-tests, and categorical data analysis, nonparametric data analysis, cluster analysis, factor analysis and multivariate statistical analysis)
- Strong communication and interpersonal skills, identifying solutions to loosely defined business problems
- Excellent communication and problem solving skills; required
- Effective communication skills at varying levels within the organization
- Excellent communication and presentation skills to both technical and non-technical audiences
- Excellent English written and oral communication skills, able to translate complex concepts in a clear and concise way
List of Typical Experience For an Analytics Engineer Resume
Experience For Digital Analytics Engineer Resume
- Communicate effectively to key stakeholders and senior management to promote the value-add of EPC Metrics
- Experience leading agile teams, teaching and mentoring. Ability to manage multiple assignments simultaneously
- Two years’ experience with Java J2EE Middleware platforms, including Weblogic (Fusion), Websphere, JBoss, Tomcat, Glassfish
- Previous experience in data management
- Working knowledge of reliability improvement processes including Bad Actors, RCM, RAM, SIL analysis, RCFA, etc
- Developing and contributing to solutions to facilitate the Cimba vision
Experience For Lead Analytics Engineer Resume
- Understanding of compute/storage elasticity, concepts such as Spark, Hadoop, time-series data
- Understanding of database models
- Liaising with Quality/SQA departments as the project demands
- Understanding of wireless systems & protocols (Cellular, Wifi or Bluetooth) is a required
- Understanding of Visualization best practices
- Understanding of ROI
Experience For Principal Analytics Engineer Resume
- Tracking key performance indicators of wind turbine fleet – big data
- Understanding of digital properties and the tagging required to provide meaningful insights
- Provide guidance and recommend monitoring solutions for recurring and/or ongoing production incidents affecting our end users or supporting systems
- Use analytic software, report generating software, and analyzing/handling large data residing in large relationship databases
- Broad knowledge of advanced environment monitoring & management tools, performance modelling tools, capacity analysis tools, and other advanced modelling
Experience For Cost Analytics Engineer Resume
- Lead by example regarding software best practices, including code style and architecture, documentation, source control, and testing
- Works to build technical knowledge by taking advantage of internal team mentoring and attending professional development opportunities
- Explore standardized reporting depicted within dashboard incorporating various KPI monitoring of the second tier of support
- Understanding of Agile methodologies (preferably Scrum), UML, Object Orientated, Data Modeling, Process Modeling and/or other development methodologies
- Actively participates in customer-facing performance and capacity strategy review meetings, presentations, and training sessions
- Stays abreast of the fast-evolving space of Data Science in areas such as Big Data, AI/Machine Learning, and Predictive Analytics
- Enable class leading technical capabilities by influencing roadmap and design direction
- Operations systems development and maintenance programing. Develop reporting and analytics within SQL Server, Tableau and other tools
Experience For Senior Digital Analytics Engineer Resume
- Travel to customer sites for project meetings, software commissioning and user training
- Meet Project time lines by planning your work and communicating with Project team on requirements
- Create a dashboard showcasing the service desks functions to business, service owner, and internal reporting
- Communicate closely with the support leaders for finding within the reporting analysis
- We are passionate about helping researchers achieve their goals, which in turn adds new nodes to the ever-expanding graph of research information
- Proficiency in programming in C, C++, PERL, R or SQL Scripting an advantage
- Passionate about intuitive and engaging user interfaces, as well as new/emerging concepts and techniques in web design
- Familiarity with setting up A/B testing/personalization
- Join a small but dedicated team of engineers & architects building out our End to End Monitoring Platform
Experience For IoT Analytics Engineer Resume
- Develop Splunk queries and dashboards and advise operations and engineering teams on best practices in developing their own queries and dashboards
- Provide strategic tool(s) consulting to stakeholders to ensure current/future monitoring roadmaps align with Application strategies
- Join a small but dedicated team of engineers & architects managing our End to End Monitoring and Analytics Platform (Quantum)
- Establish reporting standards by role, region, and vertical. Apply data engineering to deliver automated solutions, where possible
- Work closely with Workflow, Data Engineering, and Software Engineering teams to drive initiatives on Operational efficiency
Experience For Lead Analytics Engineer for Power Plant Components Resume
- Competency in cross-disciplinary engineering fields, especially Mechanical Electrical, Instrumentation, Environmental, and Safety Engineering
- Collaborate with project teams to provide analytics expertise within customer-facing performance and capacity related projects
- Guide business users in shaping needs into solutions that maximize strategic value
- Lead local and/or remote teams, as necessary, working on all phases of BI application development process
- Architect full solutions and take ownership as SME and Technical lead for on-going support and projects as assigned
- Monitor industry for emerging technologies and trends; provide appropriate recommendations to senior management
Experience For Analytics Engineer Intern Resume
- Accountable for delivering new, commercially re-usable physics based analytics to drive growth in asset, application and industry coverage
- Mentor other engineers in analytics, modeling and product development
- Proficiency in Python, Shell Scripting and macro’s
- Review data collected (P&IDs, datasheets, Design data, etc.) during the Project phase and communicate back to Project team and customer
- Make recommendations on findings & anticipate risks and prepare with mitigation plans during project execution
- Specify the instrumentation and monitoring equipment requirements to perform analysis of turbo machinery and related equipment requirement
- Contribute to team developing capability to provide remote surveillance of equipment installed at customer sites and remotely capture the operational data
- Develop and implement improvements in tools, methods, and processes that provide analysis and early indication of emerging changes of the equipment operation
Experience For Productivity & Analytics Engineer Resume
- Contribute to the development of remote monitoring diagnostic support services strategy
- Ensures timeliness and compliance with external reporting requirements of the business line, if applicable
- Be comfortable working with agile / scrum / kanban
- Pro-active and taking initiative
- Responsible for the architecture, design, development and implementation of SAP reporting solutions
Experience For M&D Analytics Engineer Power Digital Resume
- Develop standardized and ad-hoc reporting packages for operational review for the product owners and leadership teams
- Able to identify reporting industrialization potential, design the plan, build the solution and deploy the solution
- Knowledge of big data analytics and machine learning algorithms an advantage
- MS Excel and other statistical reporting tools
- Manage assigned tasks escalating issues to project/departmental managers
- M.S. or Ph.D. in Computer Science, Electrical Engineering, Applied Mathematics, Statistics, or equivalent
- Familiar with various ETL tools – for transforming different sources of data into analytics data stores
- Trained on analytics & usage of statistical modeling tools
List of Typical Skills For an Analytics Engineer Resume
Skills For Digital Analytics Engineer Resume
- Be conversant in all associated business processes and data, at the level of a data steward, prior to developing or validating analytics products or processes
- Demonstrated experience with statistical and modeling software tools
- Demonstrated ability to coordinate multiple projects/activities with competing priorities
- Demonstrated ability to implement plans with a defined rhythm, metrics and process to ensure strong focus and consistent execution.
- 2+ yrs.experience in prognostics with strong knowledge on reliability assessment tools
- Fluent English skills (oral & written) are needed
Skills For Lead Analytics Engineer Resume
- Proven experience in metrics analysis
- IT skills in application development and database management
- Learn quickly and develop skills as needed
- Prior experience within an academic medical center; desirable
- Demonstrates strong knowledge of the various data sources in the company's architecture
- Understanding of distributed computing principles and experience with the Hadoop ecosystem
- Familiar with statistical and machine learning techniques, including exploratory analysis, sampling, visualization, model building, and validation
- We believe strongly in team ownership, we are all involved in the planning of features at the beginning and own them through deployment and monitoring
- Experience performing data analysis and profiling, and designing ETL systems/programs
Skills For Principal Analytics Engineer Resume
- Experience modeling, communicating and making data-based recommendations based on complex or incomplete data sources
- Experience working in a fast-paced environment, managing multiple deliverables, and remaining flexible
- Experience managing multiple hosting environments including public and private cloud
- Experience with designing business experiments and measuring the impact of business actions
- Strong technical expertise in systems modeling including first principles and finite element methods, simulation and analytics
- Experience programming ETL programs using standard languages or tools (Informatica, Data Stage, Oracle or equivalent)
- Experience in advanced speech signal processing and state of the art machine learning techniques
- Experience in designing and developing ASP.NET based web applications
- Experience in developing API’s/ETL processes using Informatica PowerCenter, Informatica Cloud Services and Informatica Cloud Real Time
Skills For Cost Analytics Engineer Resume
- Strong understanding of best practices using Spark in Python and Scala
- Experience in developing code using Informatica or other ETL like technologies
- Experience working with enterprise reporting systems, data analytics
- Experience working as an Analytics Engineer or Data Scientist working with cross functional teams
- Demonstrated data science knowledge in understanding complex metrics/drivers related to laboratory testing and patient care
- Good working knowledge of applied statistics and machine learning techniques
- Significant past experience with SQL, and general understanding of dimensional data modeling
- Good understanding of object oriented programming and software development best practices
Skills For Senior Digital Analytics Engineer Resume
- Experience managing and monitoring systems and infrastructure to ensure structural
- Hands on previous experience developing or supporting enterprise online
- Proven capability to deliver results by engaging various stakeholders and working with cross-functional teams
- We believe that researchers are our number one priority so we work hard to deliver value back to them with everything we do
- Experience performing statistical analysis, particularly predictive analysis
- Advanced experience with using Tableau Desktop and familiarity with Tableau Server
Skills For IoT Analytics Engineer Resume
- Excellent command of C or other programming language
- Experience in Product design, reliability- modeling & assessment
- Experience working with frameworks such as Spark, Hadoop, Hbase, Kafka
- Experience in an FDA regulated industry (Biotech, Pharma or Medical Device manufacturing)8968170428
- Experience in IBM Suite of Products, TM1, IBM Planning & Analytics
- Experience building data pipelines in Hadoop
- Experience leading the adoption of reliability and mechanical integrity principles, practices, processes, & tools
- Experience with enterprise dashboard and reporting platforms (e.g., Spotfire, Tableau, Qlikview, Salesforce)
Skills For Lead Analytics Engineer for Power Plant Components Resume
- Or more of experience in web analytics tagging/implementation with Adobe Analytics
- A proven grasp of one of the programming or statistics software languages such as T-SQL, R, Python, JavaScript. T-SQL and Python are required
- JIRA Administration or similar IT tracking administration experience is required
- Presentation and training experience is required
- Good working knowledge of BI tools such as Looker, Tableau, QlikView, etc
- Hands on experience with Service Oriented Architecture using REST Architectural Style
- Agile software development and testing experience
- Experience in leveraging data visualization tools such as the Microsoft Office suite, Tableau etc
Skills For Analytics Engineer Intern Resume
- Experience of turbomachinery performance and/or vibration monitoring equipment and analysis is preferable
- Demonstrates continual learning and improvement of knowledge and expertise in the health industry data standard as well as industry applications and tools
- Power BI experience including mobile solutions
- Experience with Hadoop tools including sqoop, Spark, and Hive
- Solid understanding of relational databases (Teradata, SQL Server, etc.)
- Experience in system engineering and IT support
Skills For Productivity & Analytics Engineer Resume
- Refinery, Chemical Plant or Complex Upstream Facilities experience including knowledge of key process technologies
- Demonstrates a passion for process improvement; is biased toward action
- Demonstrated ability to create, adapt, and execute plans to unstructured and/or complex problems.
- Experience with Cloud Platforms such as AWS, Azure, etc.
- Strong background in anomaly detection, diagnostics and prognostics techniques (theory and computational implementation)
- Skilled in advanced statistical and analytic methods and data visualization techniques
- Professional experience
Skills For M&D Analytics Engineer Power Digital Resume
- Strong personal interest in latest technology trends in the field of digitization and IT for data analytics
- Experience with big and fast data technologies
- Software development experience in Java, Scala or Python
- Experience with web or mobile analytics tools
- Experience with cloud platforms and services
List of Typical Responsibilities For an Analytics Engineer Resume
Responsibilities For Digital Analytics Engineer Resume
- Analyze new emerging technologies in the Systems Management monitoring space and translate functionality of the new technology into an effective IT vision and strategy
- Collaborate with other technologists across Global Technology and lines of business to assess current capabilities and bridge the gaps with legacy and future systems
- Provides strategic direction, IT engineering support and Discovery Zone platform roadmaps to improve performance for analytics professionals, data scientists and IT in the Ford’s ecosystem
- Excellent written and verbal communications, proven ability to develop and deliver
- Proven capability to perform data modeling and visualization to support decision making for projects and initiatives
- Experience in physics modeling
- Experience in Digital Analytics and proficient in Javascript, HTML, Jquery and other scripting languages
Responsibilities For Lead Analytics Engineer Resume
- Have the ability to interpret and analyse complex technical data, and a demonstrated competency in the use of a variety of computer applications
- Effective collaboration with the rest of FRO organization
- Highly experienced with R/Python/Matlab/SQL for implementation
- Experience with web application development platforms, tools and utilities
- Identifying the right internal partners and analytical solutions that could answer the business’s problems
- Hosting Vendors: System availability and performance, problem resolution, and data quality
- Provide technical design, coding, testing, implementation, maintenance, system and technical support for BI initiatives
Responsibilities For Principal Analytics Engineer Resume
- Key point of contact for data integration with other tools (i.e. CRM, Advertising vendors, Marketing Automation systems, etc.)
- Build automation tools using API’s
- Interact with customer during meetings to clarify technical queries about the software, solution and requirements for successful delivery of product
- Provide communication to Product Support and project manager during project implantation stage
- Actively participates in budget and monthly operating review sessions
- Statistical data mining to uncover trends, co-relations and ultimately root causes
Responsibilities For Cost Analytics Engineer Resume
- Generate all periodical performance reporting for internal groups and external clients
- Design, Develop and Test Dashboards and Apps meeting user requirements
- Detailed knowledge of core internet protocols including, but not limited to TCP/IP, DNS
- Proficient in programming languages such as C++, Python. PHP, etc
- Be forward thinking and lead strategy for data collection and implementation projects that advance our analytics practice
- Knowledge of data modeling tools like SAS, R
- MS or higher in Industrial, Chemical, Mechanical Engineering or Operations Research with a specialization in data science, analytics and related areas
Responsibilities For Senior Digital Analytics Engineer Resume
- Gather functional requirements working with key stakeholders
- Graduate degrees in Mathematics, Electrical /Mechanical/Petroleum/Chemical Engineering, or Physics
- Thorough understanding of data management, data organization, and database design
- Makes key decisions for the working group related to day-to-day processes
- Fluency in the use of database systems such as MERIDIUM, MAXIMO, SAP, IMPACT-ERM, etc. and familiarity with the underlying data models
- BS in Engineering or Science related discipline
- Aid service towers in onboarding their services into the platform
Responsibilities For IoT Analytics Engineer Resume
- Work across ecommerce store, digital marketing, content creation, operations, and more
- Build and integrate robust data processing pipelines for enterprise-level business analytics
- Proper engineering: Develop accurate, actionable custom solutions for firm-wide business areas and clients
- Create and optimize database objects (tables, stored procedures, views, etc.) necessary to support reporting systems
- Access data from multiple sources and multiple formats for use in developing reports
- Someone who is not intimidated by challenges; thrives even under pressure; is passionate about their craft; and hyper focused on delivering exceptional results
- Knowledge of Matlab and at least one other programming language / tools like R, JMP, Python or
- Expert knowledge in process simulation tools such as, AspenPlus, Hysys, UniSIM and working knowledge of design softwares
Responsibilities For Lead Analytics Engineer for Power Plant Components Resume
- Proficient in MATLAB, Python and system modeling tools
- Consult with client groups to assess user needs and requirements
- Follow release cycles and implement on-time delivery of bug fixes, change requests and enhancements
- Monitor processes, system audits, Dashboard Reporting and Presentation Layer functioning and performance and proactively fix issues as found. Support performance of systems
- Translate structured and unstructured business questions into data analytic problems; create appropriate analyses, collaborate with business users to create a working solution using the best fit technology platform
Responsibilities For Analytics Engineer Intern Resume
- Experience with relational databases such as MySQL or PostgreSQL
- Have deep Expertise or Specialization in Energy Markets optimization, Smart Grid and Distributed Energy Resources
- Champion the Analytics Capabilities of their domain cross-functionally and to GE BUs and external customers
- Manage strategic Innovation that ties to business and product strategy
- Represent GE Digital as leaders in Analytics expertise at external customers, businesses, industry conferences
- Partner with customers to design highly complex optimization algorithms
- Have awareness of SDLC and methodologies like Lean/Agile/XP, CI, Software and Product Security, Sociability, Documentation Practices, refactoring and Testing Techniques.
- Participate in BI R&D and lead the execution of prototypes, pilots, and proofs-of-concept key to the maturation of the company’s BI capabilities
Responsibilities For Productivity & Analytics Engineer Resume
- Drive strategy for enterprise-grade analytics capability development for Oil & Gas industry
- Champion technical analytic solutions across the Oil & Gas industry and develop specifications and standards
- Manage strategic innovation that ties business and product strategy
- Accountable for IP portfolio management and stewardship in alignment to data science and analytic strategy and vision
- Be able to influence from a technical standpoint across the function and business and shape the digital product landscape. Ability to influence at the senior leadership level is key
- Provide hands-on implementation of statistical methods and related analytical tools to capitalize on improvement opportunities independently and without appreciable direction
- Discover entitlement opportunities utilizing data mining and analysis techniques
- Partner with CDO team/Business Analysts in understanding and converting business requirements into solutions
Responsibilities For M&D Analytics Engineer Power Digital Resume
- Develop N-Tier web applications using Microsoft .NET framework, HTML, CSS, JavaScript, and Web APIs
- Develop/Support single page applications using AngularJS
- Develop integrations with Informatica MDM via SIF call’s and consuming data services
- Maintain and enhance existing software applications to ensure uninterrupted global production and service operations
- Apply advanced statistical principles to the evaluation and solution of technical problems