Analytics Engineer Resume
Summary : As a Analytics Engineer, worked with the data governance team and implement data quality checks and maintain data catalogs. Used Orchestration, logging, and monitoring tools to build resilient pipelines.
Skills : Certified Six Sigma Green Belt From ISE SJSU. Proficient In, Familiar With Basic HTML5 And CSS Concepts.
Description :
- Designed and created insightful, intuitive and effective data visualizations as well as influence business decisions.
- Used Tableau to provide an easy to understand interface for end users to quickly identify key insights within their data.
- Developed Tableau workbooks from multiple data sources using Data Blending.
- Created Custom SQL Queries within Tableau to enhance data.
- Defined best practices for creating Tableau dashboards by matching requirements to the charts to be chosen, color patterns as per user's needs, standardizing dashboard's size, look and feel etc.
- Developed visualizations by working directly with the end users to ensure the product provides valuable analytics for Executive decision support control Involved in creating database objects like tables, views, procedures, triggers, and functions using Toad for MySQL to provide definition, structure and to maintain data efficiently.
- Developed POCs by building reports and dashboards using Tableau to demonstrate quick wins.
Experience
7-10 Years
Level
Management
Education
M.S. In Industrial
Analytics Engineer Resume
Objective : As a Analytics Engineer, collaborated with Data Analyst, Data Scientists, Machine Learning Engineers to identified and transformed data for ingestion, exploration, and modeling.
Skills : MS Excel, Oracle JDE, SAP ERP, Tableau.
Description :
- Assigned as an IT/Analyst resource to assist Enterprise Analytics team toward a transition to Hadoop/Datameer tools.
- Ingest data sets into Hadoop (HDFS) using Sqoop and create Hive schemas on top of ingested HDFS files.
- Assisted Data Scientists with utilizing Datameer to analyze data.
- Created MicroStrategy reports for AutoTrader National Accounts teams.
- Built ad-hoc analytical queries using SQL (Aginity Workbench for Netezza) for AutoTrader.com site activity and products for OEM brands (Ford, Chrysler, GM, etc).
- Performed click stream and unique visitor behavior analysis.
- Analyzed SAS code for translation to SQL when migrating reports from SAS to MicroStrategy.
Experience
0-2 Years
Level
Entry Level
Education
Masters In Computer Science
Analytics Engineer Resume
Summary : As a Analytics Engineer, served as the go-to expert for the operations teams on issues relating to data integrity and data availability, including owning the testing and monitoring of the data in the Data Warehouse to ensure data accuracy.
Skills : Python, Java, C++, Perl, Javascript.
Description :
- Worked as data analytics engineer to develop government based intelligence-defense related solutions Built C++ STL.
- Developed C++, OpenMPI server based code on LINUX machines to perform computing and database jobs on high performance, distributed computing servers.
- Accessed, configured, and tuned SQL Server databases to store, query, and perform ETL processes on data.
- Performed ETL process with Python-SQL Server pipelines/framework to perform data analytics and visualization in Python, NumPy, SciPy, Pandas, and MATLAB stack.
- Worked with data scientists, to develop scalable machine learning algorithms in MATLAB for distributed computing systems for data modeling of sensor fusion, mobile sensing, airborne intelligence, and real time image-video streaming.
- Developed real time, streaming based image processing, computer vision, pattern recognition systems in C++ with Python, CUDA, scikit-image, OpenCV, CUDA, NumPy, SciPy, OpenGL, Arrayfire modules for feature processing, recognition, and extraction of intelligence imagery for real time embedded systems recognition.
- Designed and maintained the customer negative experience and various reports to help our Operation and Customer service teams minimize problem orders, improve quality assurance process, and decrease fit issues that our customer would experience.
Experience
7-10 Years
Level
Management
Education
MS In Mechanical Engineering
Analytics Engineer Resume
Summary : Over ten years of experience working with business processes and project management, web-based applications and client-server relationships and three years of experience in social and mobile gaming on various platforms. Diligent and dedicated individual that is always open to new challenges and driven by results.
Skills : SQL Server/SSMS, SQL Query Analyzer, Oracle/SQL Logic.
Description :
- Trending and data analysis through Hive/SQL DataMine queries.
- Analytics reported for Facebook web and mobile games (android, iOS, and Kindle platforms).
- Managed A/B testing for game changes and releases on social media.
- Coordinated with developers to properly segment and maintain concurrent application versions.
- Implemented additional Analytics API calls for custom in-game events in the codebase.
- Responsible for solving unforeseen problems in a creative manner.
- Approached all challenges with resilience and determination, ready to take ownership of fixing the issue.
Experience
7-10 Years
Level
Management
Education
B.A. In Economics
Analytics Engineer Resume
Objective : As a Analytics Engineer, assisted in owning existing processes running in production, optimizing complex code through advanced algorithmic concepts. Optimized pipelines, dashboards, frameworks, and systems to facilitate easier development of data artifacts.
Skills : Package Solution: Cognos BI, Hyperion Planning, SAP BW Other BAO: Metadata Management, Social Media Analysis Database: DB2, Oracle 9i/10g, Microsoft SQL Server Programming: VB/ASP.NET, Java...etc.
Description :
- Used Toad for MySQL to create and execute queries, automate database object management, and develop SQL code.
- Used the tool to increase efficiency in managing projects, importing/exporting data, and administering the database.
- Performed deep dive analysis for metric inconsistencies.
- Assisted Marketing Analyst with MicroStrategy reporting and data analysis.
- Fluently conveyed complex ideas to colleagues and customers.
- Developed and operationalized data pipelines to make data available for consumption (BI, Advanced Analytics, Services).
- Worked in tandem with data architects and data/BI engineers to design data pipelines and recommend ongoing optimization of data storage, data ingestion, data quality, and orchestration.
Experience
2-5 Years
Level
Executive
Education
Master In Information Management
Analytics Engineer Resume
Objective : As an Analytics Engineer, responsible for creating data extracts, reports and performing analysis to address specific business needs across the organization.
Skills : Toad For MySQL, Pentaho Spoon, AS400. Tortoise SVN.
Description :
- Supported development of Data Dictionaries and Data Taxonomy for product solutions.
- Demonstrated strong understanding with coding and programming concepts to build data pipelines (e.g. data transformation, data quality, data integration, etc.).
- Built data models with Data Architect and develops data pipelines to store data in defined data models and structures.
- Conducted ad-hoc data retrieval for business reports and dashboards.
- Assessed the integrity of data from multiple sources.
- Managed database configuration including installing and upgrading software and maintaining relevant documentation.
- Monitored database activity and resource usage.
Experience
2-5 Years
Level
Executive
Education
Computer Science
Analytics Engineer Resume
Objective : As an Analytics Engineer, solved the most challenging data integration problems, and utilized optimal ETL patterns, frameworks, query techniques, and sourcing from structured and unstructured data sources.
Skills : MySQL, Visio, Access, And ProModel In School.
Description :
- Built and maintained trusting, working relationships with business partners in the Content Strategy, Consumer Insights, and Data Science and Engineering space, understanding the analytic needs of the domain and DSE’s role in fulfilling those needs.
- Partnered with data & insights peers and content business partners to discover high impact opportunities to enable self-service analytics.
- Understood where various opportunities fit into the broader strategies and prioritize competing demands to ensure the most impactful items are delivered.
- Developed high-impact data layers, user interfaces and other tools to enable self-service analytics.
- Gathered feedback and input on self-service implementations from end-users and peers and create a cycle of continuous improvement.
- Kept a close eye on usage of the self-service products and engage in activities (socialization, documentation, etc.) designed to increase usage.
- Collaborated cross-functionally with our data and insights partners to deliver robust solutions for the business.
Experience
2-5 Years
Level
Junior
Education
Computer Science
Analytics Engineer Resume
Objective : As a Analytics Engineer, collaborated with engineers, product managers, and data scientists to understand data needs, representing key data insights visually in a meaningful way.
Skills : SQL, NoSQL, AWS, Hadoop, GIT, Linux, Windows.
Description :
- Analyzed vehicle data and extract useful statistics/insights that drive actionable recommendations to improve product performance/quality and customer experience.
- Wrote efficient SQL/Python code and complex queries across extensive data sets.
- Built effective models to fuel analytical frameworks that drive material product improvements in hardware optimization, controls, and vehicle diagnostics.
- Worked effectively with engineers and conduct end-to-end analyses, from data requirement gathering, to data processing and modeling.
- Identified, analyzed, and interpreted trends or patterns in complex data sets and depict the story via dashboards and reports.
- Automated analyses and author pipelines using SQL, Python, and Airflow based ETL framework.
- Built complex visualizations that tell a story about data.
Experience
2-5 Years
Level
Executive
Education
Computer Science
Analytics Engineer Resume
Objective : As a Analytics Engineer, created and contributed to frameworks that improve the efficacy of logging data, while working with data infrastructure to triage issues and resolve them.
Skills : Good with Git, Docker, Terraform.
Description :
- Embeded analytical solutions into web and mobile applications using embedded analytics.
- Designed, developed and maintained business intelligence solutions using PowerBI/Tableau, SQL, and other tools
- Maintained analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics.
- Assembled large, complex data sets that meet functional / non-functional business requirements.
- Developed proficiency in our tech stack for optimal ETL from a wide variety of data sources using SQL and AWS ‘big data’ technologies.
- Delivered quality products leveraging the values of transparency, inspection, and adaptation in an agile way.
- Taken ownership to proactively anticipate the implications and consequences of situations and acts appropriately to make decisions.
Experience
2-5 Years
Level
Executive
Education
Computer Science
Analytics Engineer Resume
Summary : As a Analytics Engineer conceptualized and owned the data architecture for multiple large-scale projects while evaluating design and operational cost-benefit tradeoffs within systems.
Skills : S3, ECS, Fargate, Glue, StepFunctions, CloudWatch, Lambda, EMR.
Description :
- Utilized data pipelines created by Data Engineers, build, validate and manage data models for analysis.
- Advised Functional Groups on analytics and visualization approaches to solve business problems.
- Used design thinking principles to develop data and analytics products to effectively solve customer needs.
- Contributed input to the data strategy and provide feedback to help ensure data strategy is aligned with user needs.
- Provided advisement on data valuation and usage.
- Used data munging skills to understand, model and deliver valuable insights to business objectives.
- Applied data management principles to ensure appropriate governance and accuracy of data.
Experience
7-10 Years
Level
Management
Education
Computer Science
