> Markdown version of [/jobs/ext/557621-data-analytics-engineer](https://www.wearedevelopers.com/jobs/ext/557621-data-analytics-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Analytics Engineer - **Company:** MPR MANAGEMENT, L.L.C. - **Location:** Flint, MI, United States - **Salary:** $65,000.0 - $95,000.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Agile Methodology, Amazon Web Services, Microsoft Azure, Bash Shell, Big Data, Computer Programming, Data Validation, Data Integration, Extract Transform Load (ETL), Data Structures, Data Warehousing, Database Design, Decision Support Systems, Entity Relationship Models, Apache Hadoop, Apache Hive, Python (Programming Language), Linked Data, Unix Shell, Machine Learning, Microsoft SQL Server, Online Analytical Processing, Online Transaction Processing, Oracle (Applications), Azure Data Lake, Software Engineering, Data Streaming, Talend, Data Storage Technologies, Feature Engineering, Multivariate Regression, Sql Optimization, Apache Spark, Backend, Data Lineage, Vba Programming Language, Data Analytics, Real Time Data, Feature Selection - **Published:** June 13, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=6631941e87630a58 ## About the Role Do you have experience in VBA?, * Proven experience working with cloud platforms such as AWS or Azure for data storage and processing. * Strong programming skills in Java, Python, Bash (Unix shell), or VBA for automation and custom solutions. * Hands-on experience with big data frameworks including Hadoop ecosystem components like Spark and Hive. * Expertise in database design principles for both transactional systems (OLTP) like Oracle or SQL Server and analytical systems (OLAP) such as data warehouses. * Familiarity with ETL tools like Talend or Informatica for efficient data integration workflows. * Knowledge of Linked Data principles for connecting disparate datasets across platforms. * Demonstrated ability to analyze complex datasets with excellent analysis skills to identify trends and insights. * Experience working within Agile teams to deliver iterative solutions rapidly while maintaining high quality standards. Embark on a journey where your technical prowess fuels innovation! We're committed to fostering an environment that values your growth through continuous learning opportunities in cutting-edge technologies like Apache Spark, Hadoop, Azure Data Lake, and more. Join us today to help shape the future of data-driven success! ## Description * Design and implement sophisticated multivariate regression and nonlinear time-series models, such as ARIMA or Bayesian forecasting, to transform historical retail data into accurate sales forecasts across various regional markets. * Utilize unsupervised machine learning techniques, including clustering and dimensionality reduction, to analyze transactional datasets, uncover hidden operational inefficiencies, and differentiate regional performance patterns. * Apply feature engineering and feature selection techniques to improve predictive model accuracy and scalability across enterprise datasets. * Compare, evaluate, and validate statistical models using quantitative performance metrics such as RMSE, AUC, precision-recall metrics, loss functions, and explained variance to ensure robust, reliable predictions. * Develop mathematical objective functions and constrained optimization methods to automate dynamic pricing strategies and inventory management, ensuring maximum retail profitability through data-driven decision making. * Integrate diverse retail technology systems by designing advanced data-transfer and transformation pipelines to create an efficient data-analysis environment. Utilize a combination of ETL (Extract, Transform, Load), ELT (Extract, Load, Transform), and streaming data integration approaches, as appropriate, to support flexible, scalable, and real-time data movement across platforms. * Develop advanced SQL-based analytical expressions and recursive window functions to seamlessly extract real-time Key Performance Indicators (KPIs) from enterprise repositories. * Design fast, efficient backend systems and data structures that support up-to-the-moment visual displays, so stakeholders can easily track performance. * Implement thorough, automated data verification processes, along with checksum-based quality assurance cycles, to ensure the accuracy and integrity of ingested datasets in dynamic management settings. * Develops detailed technical specifications, including Entity-Relationship Diagrams (ERDs) and data lineage maps, to foster a unified Software Development Life Cycle (SDLC) across the organization's retail operations. ## Related Videos - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Developing the Backend with Stefan Lingler, CTO at Shpock](https://www.wearedevelopers.com/videos/100360-developing-the-backend-with-stefan-lingler-cto-at-shpock) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [Nest.js - TypeScript in the backend can also be clean](https://www.wearedevelopers.com/videos/1033-nest-js-typescript-in-the-backend-can-also-be-clean) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) ## Related Articles - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story)