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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Sr. Data Analyst (Job Code: 1012) - **Company:** POPULUS GROUP - **Location:** Troy, MI, United States - **Experience:** Expert - **Salary:** $145,600.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Agile Methodology, Amazon Web Services, Data Analysis, Cloud Computing, Profiling, Code Review, Databases, Continuous Integration, Information Engineering, Data Governance, Data Integrity, Data Transformation, Data Profiling, Data Security, Data Visualization, Data Warehousing, Relational Databases, R (Programming Language), Python (Programming Language), PostgreSQL, Machine Learning, Meta-Data Management, Swagger, SQL Databases, Teradata SQL, Unstructured Data, Data Processing, Data Ingestion, GitHub Copilot, Large Language Models, Snowflake, Git, Fastapi, Pandas, Data Analytics, Star Schema, Software Version Control, Data Pipelines, Databricks - **Published:** August 22, 2026 - **Apply:** https://jobs.mitalent.org/job-seeker/job-details/JobCode/403387077 ## About the Role Experience must include two (2) years use of all the following: Python, SQL, cloud platforms, data visualization, data warehousing, version control, relational data modeling, machine learning modeling, data ingestion, statistical data analysis/profiling, APIs, and Agile development methodologies. Will also accept any suitable combination of education, training, and/or experience. ## Description Responsible for supporting the onboarding, ingestion, and transformation of structured and unstructured data into AWS cloud environments; work within the Product team to enable regulatory and statistical models across domains including Mortgage, Credit Card, and Auto; collaborate with Data Scientists, Architects, and cross-functional stakeholders to design, develop, and implement scalable data engineering workflows and transformation logic to ensure efficient data processing, validation, and delivery; assist in onboarding datasets from multiple sources into AWS by performing data analysis, profiling, and validation; perform data ingestion from various sources including databases and APIs; conduct data profiling and exploratory data analysis to identify trends, anomalies, and data quality issues; develop, optimize, and maintain data pipelines using Python and SQL to ensure scalability and performance; monitor data pipelines and workflows, troubleshoot failures, perform root cause analysis, and implement fixes to ensure data reliability and availability; contribute to migration efforts and data transformation initiatives across platforms such as AWS, Snowflake, and Databricks; support CI/CD processes including version control, deployment, and testing using Git and Agile methodologies; apply relational data modeling concepts including Star Schema, normalization, and key design, as well as AWS, Python, R, Pandas, PostgreSQL, Teradata, Snowflake, and data modeling tools to complete assigned tasks; interpret, review, and validate code; perform code reviews and resolve defects and performance issues; develop and support lightweight APIs and internal tools using Python-based frameworks including FastAPI and Swagger UI, to enable data access and workflow automation; automate data processing tasks using Python and SQL; utilize AI-assisted development tools including GitHub Copilot to enhance development efficiency; utilize and apply knowledge of Python, SQL, cloud platforms, data visualization, data warehousing, version control, relational data modeling, machine learning modeling, data ingestion, statistical data analysis/profiling, APIs, and Agile development methodologies to complete assigned tasks; leverage advanced analytics and emerging technologies, including machine learning techniques and large language models (LLMs), to support data modeling and automation initiatives; support data governance efforts including data quality, metadata management, and compliance; collaborate with stakeholders to translate business requirements into data-driven solutions; and document processes and workflows for maintainability and knowledge sharing. ## Related Videos - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [Advanced Typing in TypeScript](https://www.wearedevelopers.com/videos/496-advanced-typing-in-typescript) - [Intro to FastAPI](https://www.wearedevelopers.com/videos/462-intro-to-fastapi) - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) - [Data Science on Software Data](https://www.wearedevelopers.com/videos/162-data-science-on-software-data) - [Getting to Know Your Legacy (System) with AI-Driven Software Archeology](https://www.wearedevelopers.com/videos/1437-getting-to-know-your-legacy-system-with-ai-driven-software-archeology) ## Related Articles - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Data Analyst Salary Germany](https://www.wearedevelopers.com/magazine/277-data-analyst-salary-germany) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers)