Data Analytics Engineer Resume
Objective : As a Data Analytics Engineer, responsible for the creation and management of new data warehouses and other environments to store transport data, including geospatial information on road networks.
Skills : Data Analysis, Programming Skills.
Description :
- Responsible for managing data sources used in Agilysis’ analytical tools and research.
- Creation of modern database systems and infrastructure to hold the array of transport and related datasets used by the team and to ensure they are inter-related, up-to-date, and accurate.
- Processed and matched datasets, especially geospatial ones, producing outputs that can be imported into online tools and products for use by the team and clients.
- Owned and managed regular reporting systems including developing and maintaining reproducible analytical pipelines.
- Overall responsibility for ensuring that faults are resolved swiftly, and background processes are robust and actively monitored.
- Creation and delivery of high quality and user-friendly outputs including maps, dashboards and other interactive visualisations.
- Undertaken analysis of patterns and trends in data to inform work for clients overseas.
Experience
0-2 Years
Level
Entry Level
Education
Bachelor's Degree In Computer Science
Senior Data Analytics Engineer Resume
Summary : As a Data Analytics Engineer, responsible for supporting other team members with processing routine and regular imports of open and commercial data, and also ad-hoc requests for specific customers or projects. Developed and delivered analytical tools and solutions for clients using a variety of platforms, and also got involved in analyzing the meaning behind the data.
Skills : Data Modeling, Statistical Analysis.
Description :
- Supported clients in understanding data, providing assurance on quality and reliability, and assisting in technical support and associated materials.
- Developed and maintained data pipelines for curated and structured databases.
- Utilized analytics tools to enhance direct care, operational decision-making, and research initiatives.
- Supported the Digital Health Informatics strategy in collaboration with various stakeholders.
- Prioritized and addressed immediate development areas in alignment with NHS transformation goals.
- Collaborated with other technology teams to ingest, transform, and load data from multiple data sources, structured and unstructured data.
- Worked closely with data scientists and data analysts to implement and produce data models.
Experience
10+ Years
Level
Senior
Education
Bachelor's Degree In Computer Science
Data Analytics Engineer Resume
Summary : As a Data Analytics Engineer, responsible for the regular delivery of certain standard products and ad-hoc projects as they arise. They will exhibit a significant degree of autonomy and be able to work without guidance by agreed policies and procedures.
Skills : Data Visualization, Database Management, Machine Learning.
Description :
- Built patterns, common ways of working, and standardized data pipelines for DLG to ensure consistency across the organization.
- Monitored the pipelines that bring data into Data Lakehouse, identifying potential issues early.
- Designed, built, and maintained automated data transformations, to create analysis-ready datasets and sources of truth.
- Collaborated with analysts and the wider business to understand their needs, and to define, design, and ship new analytics features.
- Promoted the benefits of analytics engineering practices among the wider Insight Team.
- Collaborated with data scientists, data engineers, and data analysts.
- Deployed logical and physical data models.
Experience
7-10 Years
Level
Management
Education
Bachelor's Degree in Statistics
Associate Data Analytics Engineer Resume
Objective : As a Data Analytics Engineer, worked within a team to design and enhance data infrastructure and pipelines using DBT, Snowflake, and Terraform, ensuring reliability and a high standard of quality. Drove consistency by setting and maintaining coding standards, documentation, and best practices for data engineering processes, fostering clarity and efficiency.
Skills : Big Data Technologies, Data Cleaning, Preprocessing.
Description :
- Used business intelligence (BI), data science, and visualization tools to build data products.
- Built automated and scalable data pipelines.
- Provided insight and recommendations to the data team and company stakeholders.
- Worked independently across various projects and as part of a Scrum team.
- Collaborated with cross-functional teams and other data professionals to define business goals and set parameters to measure analytics outcomes.
- Worked with data scientists and analytics to collect and clean data for analysis.
- Designed data models, as well as, developed and maintained data pipelines.
Experience
2-5 Years
Level
Executive
Education
Bachelor's Degree In Computer Science
Assistant Data Analytics Engineer Resume
Objective : As a Data Analytics Engineer, responsible for engaging with architecture, application teams, data scientists, data analysts, and operations teams to understand data needs and provide effective solutions. Keep up with industry trends, emerging technologies, and advancements in data engineering.
Skills : Data Analysis, Python/R Programming.
Description :
- Created and maintained data storage systems.
- Developed documentation for data pipelines and storage systems.
- Developed software to implement data reporting.
- Troubleshooted and debugged data system errors.
- Embraced new technology and staying up to date with industry best practices to continuously improve data analysis skills.
- Led the design and implementation of data models to support business intelligence initiatives, resulting in a 20% increase in data accuracy.
- Developed and maintained ETL processes to ensure the seamless flow of data between systems, reducing data processing time by 30%.
Experience
0-2 Years
Level
Junior
Education
Bachelor's Degree in Statistics
Junior Data Analytics Engineer Resume
Objective : As a Data Analytics Engineer, managed a team of Analysts and ensured that data could be at the forefront of all tactical and strategic decision-making to drive meaningful impact across the business. Build and maintain automated pipelines to support data solutions across BI and analytics use cases.
Skills : Python, AWS, Git, Bash, Spark, Hadoop.
Description :
- Collaborated with cross-functional teams to define data requirements and deliver actionable insights to key stakeholders.
- Utilized machine learning algorithms to develop predictive models for demand forecasting, resulting in a 15% improvement in inventory management.
- Conducted in-depth data analysis to identify trends and patterns, contributing to the development of targeted marketing strategies.
- Created and maintained dashboards for executive reporting, providing real-time visibility into key performance indicators.
- Collaborated with the IT team to optimize database structures and improve data retrieval efficiency.
- Designed and implemented robust data models to support business intelligence and analytics initiatives.
- Conducted a thorough analysis of large datasets to identify trends, patterns, and insights that can inform business strategies.
Experience
0-2 Years
Level
Junior
Education
Bachelor's Degree In Computer Science
Data Analytics Engineer Resume
Objective : As a Data Analytics Engineer, manipulates raw data to make it more available, organized, and easier to analyze. Works with other data-related professionals like data analysts, data engineers, and data scientists, analytics engineers help companies make better decisions, lower costs, improve productivity, and increase revenue.
Skills : Data testing, Data transformation.
Description :
- Developed and maintained Extract, Transform, Load (ETL) processes to ensure the efficient flow of data between systems.
- Managed and optimized databases, ensuring data accuracy, integrity, and availability.
- Applied machine learning algorithms to develop predictive models for various business applications, such as demand forecasting and customer segmentation.
- Created visually compelling dashboards and reports using tools such as Tableau or Power BI to communicate insights to stakeholders.
- Worked closely with cross-functional teams to understand data requirements and deliver solutions that meet business objectives.
- Maintained and enhanced reporting and Power BI solutions.
- Produced reporting stored procedures via T-SQL scripting and DAX.
Experience
0-2 Years
Level
Fresher
Education
Bachelor's degree in Information Technology
Data Analytics Engineer Resume
Summary : As a Data Analytics Engineer, provides clean data sets to end users, modeling data in a way that empowers end users to answer their questions. While data analyst spends their time analyzing data, analytics engineer spends their time transforming, testing, deploying, and documenting data.
Skills : Data documentation, Good researching skills.
Description :
- Contributed to cloud migration and ensured system uptime for data warehouse products.
- Participated in Agile work planning, testing, and quality assurance.
- Collaborated with team members to collect business requirements, define successful analytics outcomes, and design data models.
- Built trust in all interactions and with Trusted Data Development.
- Served as the Directly Responsible Individual for small sections of the Enterprise Dimensional Model.
- Designed and developed by code to extend the Enterprise Dimensional Model.
- Created and maintained architecture and systems documentation in the Data Team Handbook.
Experience
7-10 Years
Level
Consultant
Education
Bachelor's Degree In Computer Science
Data Analytics Engineer Resume
Summary : As a Data Analytics Engineer, responsible for efficient, integrated data models and products. They build useful, well-tested, and documented dataset representations and tools that the rest of the company can use to answer their questions.
Skills : Leadership skills, Knowledge of business.
Description :
- Maintained the Data Catalog, a scalable resource to support Self-Service and Single-source-of-truth analytics
- Created data models, acquired data, produced code, managed data documentation, reported insights, and worked with data team members.
- Aligned the statistics and evaluations of data collection and statistics with the ideas and objectives of executives and stakeholders.
- Improved communication and cooperation between data information teams and executives in charge of business operations.
- Established data pipelines and workflows to transfer data across locations and coordinate its integration, validation, and storage for analysis.
- Collected datasets by writing SQL queries from different sources.
- Merged different data sources, cleaning, and exploratory data analysis using Python.
Experience
10+ Years
Level
Senior
Education
Bachelor's Degree in Statistics
Data Analytics Engineer Resume
Summary : Data Analytics Engineer with 7 years of experience in leveraging data-driven insights to drive business solutions. Proficient in analyzing large datasets, designing and implementing data models, and developing scalable analytics solutions.
Skills : Data Modeling, Machine Learning, Statistical Analysis.
Description :
- Developed a machine learning model for equipment using time series data.
- Understood needs from service, engineering, and product management teams.
- Deployed ML models on the Google Cloud platform.
- Created a meaningful dashboard to convey meaningful insight from data.
- Built and maintained data pipelines, including data ingestion, data transformation, and data storage.
- Monitored the performance of our machine learning models and data pipelines and implemented improvements to optimize performance.
- Implemented and maintained CI/CD pipelines for machine learning models and data pipelines.
Experience
7-10 Years
Level
Management
Education
Bachelor's Degree In Computer Science
