Senior Analytics Engineer Resume Sample
Lavada Terry
56027 Danyka River,
San Francisco,
CA
+1 (555) 553 6377
Work Experience
Senior Analytics Engineer
03/2017
-
PRESENT
Houston, TX
- Identify potential solutions and work alongside Development teams to determine technical feasibility and level-of-effort to implement
- Efficiently gather data using available tools to investigate game economies
- Analyze data using Excel or other statistical tools to ensure validity and accuracy of data being collected
- Identify new tools/improved processes to aid the Analytics team for each game in delivering data more efficiently
- Communicate infrastructure changes to affected teams and ensure successful adaptation of those changes
- Analyze and recommend performance and capacity upgrades needed for customer-facing data systems and services
- Leverage machine learning (supervised/unsupervised/reinforcement) techniques of network & system metrics to determine tuning recommendations to improve performance
- Defines analytics applications requirements and works with tools team to integrate into existing infrastructure
Senior Analytics Engineer, Optimization
04/2010
-
01/2017
Philadelphia, PA
- Provide guidance to the business on the fast-evolving space of Data Science in areas such as Big Data, AI/Machine Learning, and Predictive Analytics
- Leads project management for customer-facing performance and capacity related projects
- Implements performance and capacity reporting and methodology changes related to new systems and services
- Lead interaction with partner organizations/departments
- Leads customer-facing performance and capacity strategy review meetings, presentations, and training sessions
- Interfaces with the vendors’ senior technical staff/management on critical/escalated capacity issues
- Manages issue identification and resolution process, including escalations to senior management; serves as the senior focal point for performance and capacity-related issues
- Aligns current performance and capacity engineering and processes with industry best practices, monitors variances
- Develop and maintain capacity standards, policies and procedures documentation
Education
Florida State University - Panama City Campus
2005 - 2010
Bachelor's Degree in Computer Science
Professional Skills
- Excellent verbal and written communication skills as well as superior analysis and problem identification skills
- Strong follow-through, problem identification, analysis and problem solving skills
- Strong interpersonal and leadership skills GE Leadership program graduate, preferably DTLP, OMLP, EEDP (GE Internal only)
- A professional attitude with strong interpersonal and communication skills at different levels
- Strong change management skills; change agent required
- Proven experience in developing and deploying BI solutions including ETL and dashboard development is required
- Demonstrated experience developing on cloud platforms like AWS, Azure, GCP etc
How to write Senior Analytics Engineer Resume
Senior Analytics Engineer role is responsible for analysis, programming, design, analytical, manufacturing, training, integration, database, mac, java.
To write great resume for senior analytics engineer job, your resume must include:
- Your contact information
- Work experience
- Education
- Skill listing
Contact Information For Senior Analytics Engineer Resume
The section contact information is important in your senior 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 Senior Analytics Engineer Resume
The section work experience is an essential part of your senior 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 senior 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 senior analytics engineer position you're applying to.
The work experience section should be the detailed summary of your latest 3 or 4 positions.
Representative Senior Analytics Engineer resume experience can include:
- Strong Programming skills in Python or R, familiarity with REST APIs
- Demonstrate analysis and problem-solving skills
- Lead effectively through efficient use of project management techniques : planning,
- Solid programming experience in Python or R, Java or PHP
- Build high-impact dashboards and analytic tools to increase visibility and enable stakeholders to self-serve effectively. Assist and educate on interpretation
- Effectively take ownership of projects and deliver scalable solutions in a dynamic environment
Education on a Senior Analytics Engineer Resume
Make sure to make education a priority on your senior 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 senior 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 Senior Analytics Engineer Resume
When listing skills on your senior 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 senior analytics engineer skills:
- Solid T-SQL or PL/SQL Programming skills
- Exceptional analytical skills and ability to develop concise and effective stories that are supported by data
- Demonstrate the ability to quickly, effectively, and accurately determine analytics project benefits
- Demonstrated strong expertise in one or more programing languages (E.g. Go, Java, Python, etc.)
- Demonstrated experience coding in one or more languages (e.g. Python, Matlab, C, C++, R, or Java)
- Experience with a proven track record of data analysis, reporting & visualization (Tableau, D3, etc.)
List of Typical Experience For a Senior Analytics Engineer Resume
1
Experience For Senior Analytics Engineer, Optimization Resume
- Proven experience in Hadoop development and data integration on Hadoop is required, preferably Hive, Spark etc
- Experience in BI/ Analytics Tools, 2 years of experience in Tableau or any BI tools is required
- Demonstrated skill in the use of one or more ML/DL frameworks (e.g. TensorFlow, Caffe2, Theano, Torch, CTPN, MXNet)
- Demonstrated experience with Design or Application of Failure Modes and Effects Analyses (FMEA) Techniques
- Skilled in design patterns, data structures & algorithms and experienced in using them in the language of choice
- Experience designing and developing J2EE applications using Spring, Hibernate/IBatis, and JMS using JVM-based languages (Java/Scala/Groovy)
- Some data crunching or numerical computing experience in a scripting language (Python, R, Julia, etc.)
2
Experience For Senior Analytics Engineer IoT Resume
- Hands-on experience in data cleansing, data mining, text analytics, and data wrangling
- Experience performing data analysis and profiling, and designing ETL systems/programs
- Experience using programming/scripting language such as Python or equivalent
- Strong technical expertise in at least two of the following Data driven and Physics based modeling, Optimization, Process modeling
- Experience creating UI mockups of data products, building prototypes in R Shiny or JavaScript
- Leads innovation by applying data analysis skill sets to develop cutting edge tools and solutions
- Professional experience focusing on data related technologies, business intelligence, data warehousing
- Experience using scripting languages, such as Python, Ruby, or Perl, to manipulate data, develop tools and automate process in UNIX environments
- Some years’ experience programming ETL programs using standard languages or tools (Informatica, Data Stage, Oracle or equivalent)
3
Experience For Senior Analytics Engineer Resume
- Experience with distributed data systems and computing frameworks like AWS, Hadoop, Spark, MapReduce, Pig, etc
- Experience in managing stakeholders in cross functional teams such as executive leadership, operations, product management, and technology
- Strong expertise in mining data to derive deep insights, build recommendations and present your findings
- Experience of developing highly scalable REST API services on Java platforms and open source technologies
- Experience of developing responsive web application and interfaces with html/JavaScript/JQuery UI frameworks such as Angular JS, Backbone, ExtJS
- Proven track record of data analysis, reporting & visualization (Tableau, D3, etc.)
4
Experience For Senior Analytics Engineer, Optimization Resume
- Emotional Intelligence, highly organized and efficient, able to balance competing priorities and execute accordingly
- Experience in developing enterprise class analytical insights on cloud/on-prem
- Develop data pipelines to calculate novel metrics and surface other insights across hundreds of prior AB tests
- Experience in at least two of these frameworks Pandas, SK-Learn, Keras, TensorFlow
- Demonstrated ability to learn new Information technologies and apply quickly
- Develop, verify, and validate predictive or prescriptive analytics
- Very Large database (VLDB) experience with complex data sets in multiple relational databases such Netezza, Vertica, or Exadata
- Experience in project management or Leadership program graduate (internal candidates)
- Demonstrated project management is required
5
Experience For Senior Analytics Engineer IoT Resume
- Demonstrated ability to synthesize data, interpret data, and process observations into actionable recommendations is required
- Demonstrated ability to work within a small, collaborative project team
- Strong Customer mindset and ability to understand commercial and product strategy
- Strong customer focus valuates decisions through the eyes of the customer
- Post-doctoral or industrial experience inventing and developing computer vision or medical image analysis algorithm
- Contribution to public domain codebases and/or significant github portfolio to demonstrate mastery and impact
6
Experience For Senior Analytics Engineer Resume
- Demonstrated awareness of real time analytics development and deployment
- Professional work experience in an analytics-focused role
- Understanding of RESTful and SOAP services framework
- Can do performance tuning of stored data in database and processing algorithm
- Use the best-of-bread statistical and machine learning software technologies such as Python, R, Stata and focus on building predictive and perspective models
- Build analytical applications using Hadoop eco system using packaged or open source technologies
- Hands-on with scripting and using nix systems
7
Experience For Senior Analytics Engineer, Optimization Resume
- Create intellectual property by writing invention disclosures and filing patents
- Establish working relationships with technical and business counterparts
- Lead and participate in process improvement initiatives leveraging analytics
- Lead productization of developed applications with engineering partners
- Understand end to end analytics stacks from data collection, clean-up, storage, processing, visualization
- Able to set up and run code reviews, can spot performance related issues during code review
- Utilizes advanced analytics methodologies to provide guidance based on findings within the Engineering orgnization
- Perform data acquisition, data cleansing, feature extraction, data management, etc
- Find ways to automate and scale repeating ad-hoc requests
8
Experience For Senior Analytics Engineer IoT Resume
- B.S. or M.S. in Computer Science, MIS, Engineering or related quantitative fields
- Comfortable with ETL and data warehousing concepts
- Frame loose business problems, turning them into actionable insights
- Comfort in a fast-paced, constantly evolving, deadline-driven environment
- Conduct exploratory data analyses using descriptive statistics and other methods and generate visual summaries of data and outcomes
- Transition quality analytics from manual reporting to automated web based visual and analytics platform reports
- Provide research and statistical analysis for investigating quality related issues and business decisions
- Develop the source to target mapping documents and ETL code to load data from source to target systems
9
Experience For Senior Analytics Engineer Resume
- Develop workflows and ETL using Hive scripts, Sqoop, Pig, oozie, Spark and other utilities on Hadoop
- Partner with IT groups such as CIT, Engineering, Product, Security, and Infrastructure on project delivery activities
- Support QA, UAT and performance testing phases of development cycle and implement DevOps principles from development to deployment to production
- Participates in analysis of multiple aspects of the BI lifecycle from requirements to data analysis, report analysis, and understanding of business processes
- Assists in analysis of BI Reporting architecture and report creation, analysis of guided analytics, and other BI solutions
- Ensures a standardized and consistent approach relating to BI participation and implementation of Data Governance, Business Intelligence (BI) and Analytics
- Transform and leverage data to power intuitive visualizations that tell compelling stories or enable self-serve exploration and discovery of new insights
- Proficiency in at least one JVM-based programming language such as Java, Scala
10
Experience For Senior Analytics Engineer, Optimization Resume
- Our culture is unique and we live by our values, so it's worth learning more about Netflix Culture
- Ad hoc analytics and reporting
- Apply theoretical or experiential knowledge on machine learning to solve industrial problems
- Awareness of the development and application of data and analytics models based on physics or empirical machine learning on industrial equipment and processes
- Familiarity with machine learning libraries such as scikit-learn, SparkML
- Comfort self-managing on projects that are often cross-functional and ambiguous
- Data processing at scale (Scala, Hive or Java)
- An understanding of dimensional warehouse data models
List of Typical Skills For a Senior Analytics Engineer Resume
1
Skills For Senior Analytics Engineer, Optimization Resume
- Good communication skills and teamwork spirit. Willing to learn and adapt quickly
- Develop and implement prototypes and solutions and demonstrate applications to real world problems by quick prototyping and validation
- Experience with Experience with data visualization tools such as Tableau, Cognos,
- Programming and/or scripting experience in Python, Spark
- Understanding of HANA 2.0 architecture and has experience with building Hana data models
- Experience in developing machine learning packages with modern programming languages e.g. Python, R, MATLAB etc
2
Skills For Senior Analytics Engineer IoT Resume
- Demonstrate technical leadership in building foundation for AI and Machine Learning for power plant operations & scheduling
- Experience designing Machine Learning algorithms or heuristics
- Experience performing statistical analysis and using tools such as SAS, R, or equivalent
- Database experience with OLTP, OLAP data models, developing and debugging PL/SQL and Greenplum/PostgreSQL
- Strong background in deep learning and modeling techniques (RNN, CNN, DNN, ANN, DBN etc.)
- Extensive experience manipulating and analyzing complex data with SQL and other tools such as Python or R
- Extensive experience manipulating and analyzing complex data with SQL (Hive / Presto / Spark) and other tools such as Python or R
3
Skills For Senior Analytics Engineer Resume
- Strong interest in learning AB testing and data science
- Experience in Python, Shell/ Perl scripting, scheduling and version control technologies is required
- Experience in real time data ingestion using Kafka/Spark Streaming is nice to have
- Experience in Advanced Analytics, Machine learning and data mining is nice to have
- Experience in data acquisition, data cleansing and parsing required
- Experience in developing Dashboards/Scorecards on Spotfire and other similar Data Visualization tools
- Demonstrated ability to develop and apply data and analytics models based on physics or empirical machine learning on industrial equipment and processes
4
Skills For Senior Analytics Engineer, Optimization Resume
- Experience in Computer Vision and AI/Deep Learning technologies
- Demonstrated ability on Machine and process problem analysis and troubleshooting
- Significant past experience with SQL, dimensional data modeling, relational and columnar databases
- Experience in creating web-based data visualizations
- Extensive Tableau experience is required, including viz development, complex dashboard actions, and optimizations
5
Skills For Senior Analytics Engineer IoT Resume
- A strong understanding of dimensional warehouse data models
- Experience developing tools with a web framework (like Django or Flask) is necessary
- Extensive experience writing SQL on RDBMS or a distributed environment (Oracle, Teradata, MySQL, Hive etc.)
- Experience in RDBMS (Oracle and SQLServer) is required and knowledge of emerging technologies (noSQL/Graph Database/Time Series) is nice to have
- Experience in writing complex SQL and Hive QL queries is required
- Experience in Payment Processing is beneficial
- Experience or knowledge of dimensional data modeling
- Experience with SDI and SDA data workflow building, installation, configuration and Sybase IQ
6
Skills For Senior Analytics Engineer Resume
- Relevant experience as a Lead Analytics Engineer or Senior Analytics Engineer
- Validates new tools and methodologies
- Designing, implementing and supporting a self-service data exploration platform
- Understanding of industrial equipment and process operations, especially in the areas of equipment monitoring, asset performance management, and digital twin
- Understanding of Reliability Centered Maintenance (RCM) principles or other such Industry Maintenance and Operating practices
- Integrating multiple data sources and transforming data
- Implementing and maintaining a set of mission critical KPI’s for the business
7
Skills For Senior Analytics Engineer, Optimization Resume
- Developing and promoting advance analytics models in order to tackle business problems across the organization
- Communicating capability and product improvements to appropriate engineering and quality functions
- Understanding of industrial equipment and process operations, especially in the areas of powerplant, and process control
- Working knowledge of databases like Redshift, Snowflake, Postgres
- Analyzing data in Hive / Presto / Spark / relational databases
- Working knowledge of Macroeconomic concepts
8
Skills For Senior Analytics Engineer IoT Resume
- Building visualisations on internal and external data sets to help our users understand the data
- Understanding of business case creation and ability to communicate project value
- Understanding of industrial equipment and process operations, especially in the areas of maintenance and process control
- Have pride – Ensure messy data isn’t our weakness by implementing and refining robust data management, linking, and auditing technologies
- Develop and test data engineering solutions including data modeling, data quality and semantic/meta data development
9
Skills For Senior Analytics Engineer Resume
- Work with data engineers on extracting, cleansing, and integrating data from various sources
- DevOps, monitoring, alerting, and fixing
- Knowledge of statistical/hypothesis testing, sampling theory required
- Functional & Technical knowledge of business processes in Manufacturing business (Global Supply Chain, Engineering, Finance, etc.)
- Thrive in a fast-paced environment while having a well-organized working method
- Basic understanding of statistics, probability and machine learning algorithms
- Foster culture of using an analytical approach to problems solving
- Partner closely with Product managers, designers & engineers to drive Product decisions and solve Netflix’s most challenging and rewarding problems
- Develop software algorithms and tools using Machine Learning techniques for segmentation, analysis and interpretation of greyscale cellular image data
10
Skills For Senior Analytics Engineer, Optimization Resume
- Expeience in delivering solutions using Hive scripts, Sqoop, Pig, oozie, Spark and other utilities on Hadoop
- Database technologies including any of the following: SQL Server, Oracle, Teradata
- BI Tool technologies including any of the following: Power BI, Tableau, SSAS, SSRS, MicroStrategy, Cognos
- Perform exploratory data analyses for discovering insights or setting development directions
- Works to think analytically and critically to take ownership of reporting standardization and automating efforts
- Machine learning, statistical analysis, time series analysis, and deep learning
- Knowledge of SAS programing language required
- Proficient in modeling and simulation tools like MATLAB, Python, R
List of Typical Responsibilities For a Senior Analytics Engineer Resume
1
Responsibilities For Senior Analytics Engineer, Optimization Resume
- Have a strong bias for action and quick iteration as opposed to perfection
- Demonstrated ability to write Python and C++ code for quick demonstration of ideas as well as robust, efficient, scaled-up software systems
- Conduct exploratory data analysis using descriptive statistics and other methods and generate visual summaries of data and outcomes
- Lead accelerated NPI development of physics aided AI and Machine Learning driven software solutions for OPM, Power digital product suite
- Actively participate in the team’s software development lifecycle (agile-based)
- Define, develop, test and operationalization of analytical solutions based on client’s needs
2
Responsibilities For Senior Analytics Engineer IoT Resume
- Coach and mentor others in the analysis, design, test and/or integration required to define and support the implementation and validation of analytics that meet business needs
- Assure proper documentation of technical data generated to substantiate the assigned components
- Review other person’s deliverables and provide status of the team to key stakeholders
- Leverage strong engineering & analytics background to develop meta and hybrid models for industrial components and processes. Engage technical experts across the business for knowledge capture into the solution
- Build data products by closely partnering with data scientists on the team to rapidly turn novel ideas into web apps and dashboards
- Own and continuously improve developed data products
- Automate common analytical workflows for AB test analysis
- Understand the challenges of the product experimentation space to identify opportunities and drive forward solutions
3
Responsibilities For Senior Analytics Engineer Resume
- Establish partnerships with Operations & Technology squads (Engine/Propulsion Mech., Controls) to establish effective prioritization, evaluation, and execution of analytics projects
- Build a deep domain expertise of GE and GE Transportation’s technical capabilities
- Communicate process to all levels of the organization
- Program manage important initiatives as required
- Establishes and maintains collaboration with other internal teams for Tools and SDKs uses to apply for the application of production and proprietary algorithms
- Owns requirement analysis completely along with the team
- Participates in the development Business Platform and systems to improve reliability, cost and customer value
- Can handle design of multiple related modules
- Very proficient across all eng process
4
Responsibilities For Senior Analytics Engineer, Optimization Resume
- Ensures that all the team members are compliant on company standards
- Guides other team members on best practices
- Champions and strives to implement most of the relevant BKMs
- Suggests and implements corrective and preventive actions for bugs and MI's
- Able to document details of functionality, design and architecture of a components
- Lead inspections on test documentation and all other project documentation
5
Responsibilities For Senior Analytics Engineer IoT Resume
- Strives to automate all manual effort in the project life cycle
- Sees opportunities and sets new processes
- Promote Machine Analytics vision and results in the organization
- Responsible for identification and implementation of process related continuous improvement activities
- Foster culture of ownership and accountability
- Ensures activities are aligned with MAKE and QA Analytics strategy
- Keep up to date on new developments and technologies in assigned disciplines
- Gather and understand customer requirements through interview and convert them into technical documentation
- Implement algorithms for prototype and work with professional service team in scalable solutions
6
Responsibilities For Senior Analytics Engineer Resume
- Design, apply and continuous improve a structured process for efficiency and quality
- Provide supporting technical materials, education and in-person expertise during commercial cycles. Evangelize the portfolio capabilities by presenting to customers (internal and external) and user groups where applicable
- Drive repeatability in solution component architectures. Foster an environment that encourages innovation, creative risk taking, speed and agility designing
- Be responsible for providing technical leadership and defining, developing, and evolving analytics software in a fast paced and agile development environment using the latest software development technologies and infrastructure
- Work in an agile team and develop software products and generic reusable frameworks on the IOT platform for analytics product development
- Develop and manage a backend store that includes Hadoop, Oracle and Postgres based data bases
7
Responsibilities For Senior Analytics Engineer, Optimization Resume
- Drive implementation of web data solutions for EMEA, including collaboration with API CoE, Information Security, OKTA team, Experian Support Teams and Business Development Managers
- Influence and create new design, architecture, standards and methods for large-scale distributed systems
- Understand third party products and components in data management and analytics
- Troubleshoot and root cause defects through logs and code analysis
- Partner closely with leadership on our payments, partnerships, business development, and product management teams to deliver insights through ad hoc analysis, modeling and/or dashboards that drive key decisions globally
8
Responsibilities For Senior Analytics Engineer IoT Resume
- Build dashboards and visualizations that enable stakeholders to self-serve metrics and trends effectively. Assist and educate on interpretation
- Be a strategic partner and work with business stakeholders to define high impact analytical problems and find innovative ways to solve these problems with data
- Examples of past projects include payment method fraud prediction, estimating the value of a dedicated Netflix button on remotes, optimizing the set of payment methods offered by country, understanding adoption of Netflix on Oculus VR
- Research and develop key metrics and performance indicators. How do we measure the impact of marketing dollars that a partner company spends to promote Netflix? What is the value of implementing Dolby Atmos audio?
- Translate analytic insights into concrete, actionable recommendations for business or product improvement, and communicate these findings
- Expertise in Big Data technologies (Hadoop, Spark, Hive, Presto etc.)
- Write ad-hoc data pipelines and ETLs for self-use
- Work independently, multitask, and drive your own projects
- Research and develop the best metrics to measure user engagement
9
Responsibilities For Senior Analytics Engineer Resume
- Present your insights and tools to all levels and functions of the company, clearly and concisely
- Tell stories with data, as well as visualize it with a variety of tools like Tableau, R Shiny, D3, etc
- Work with GE’s Big Data Platform as well as external datasets; also extract, transform, and aggregate all incoming data with a mission of discovering hidden insights, which in turn can provide GE the competitive advantage as well as address critical business problems
- Work with internal customers to capture data and analytics requirements; effectively collaborate and communicate findings
- Work in a technical environment to develop and deploy diagnostic, predictive and prescriptive models
- Experience with advanced analytics techniques (e.g., decision tree, logistic regression, hierarchical regression, neural network, random forest, etc.)
10
Responsibilities For Senior Analytics Engineer, Optimization Resume
- Work with GE’s Big Data platform as well as external datasets; also extract, transform, and aggregate all incoming data with a mission of discovering hidden insights, which in turn can provide GE Power Services business with the competitive advantage as well as address critical business problems
- Work with internal business team and stakeholders to capture data and analytics requirements; effectively collaborate and communicate findings; translate insights into business outcomes
- Leverage imaging physics to enhance algorithmic performance
- Develop software algorithms and tools for analysis and interpretation of greyscale cellular image data
- Leverage your computer vision expertise to invent and implement algorithms for detection and characterization, recognition, structural and semantic understanding, and inference from images and image ensembles
- Employ software libraries, tools, practices to implement efficient, scalable, and reusable solutions
- Team with image hardware, control system developers to jointly develop solutions
- Prepare easy to access and understand data, analysis and graphical reports for all product quality related data sources
- Work with customers, engineers, and other data scientists to develop and validate analytics within well-defined projects to address customer needs and opportunities
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