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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Business Analyst - Data & AI (Snowflake/Informatica) - **Company:** I SOFT INC. - **Location:** United States (Remote available) - **Experience:** Experienced - **Salary:** $93,600.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Data Analysis, Data Definition Language, Information Engineering, Data Governance, Data Integration, Extract Transform Load (ETL), Data Mapping, Data Transformation, Data Warehousing, Meta-Data Management, Scrum Methodology, Standard Sql, Enterprise Data Management, Application Enhancement Tool, Cloud Platform System, GitHub Copilot, Informatica Powercenter, Snowflake, Data Pipelines - **Published:** July 24, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=80ff082cc160c635 ## About the Role We are looking for a highly motivated Business Analyst with a strong background in enterprise data initiatives and data engineering concepts. The ideal candidate will have experience working with Snowflake, Informatica, and enterprise data platforms, along with a solid understanding of ETL processes and Medallion Architecture. This role requires someone who can leverage AI-powered tools, such as GitHub Copilot, to streamline business analysis activities, data definition, and table mapping. The candidate should thrive in a fast-paced environment, possess excellent communication skills, and collaborate closely with internal Business Analysts, data engineers, and business stakeholders., * 3-5 years of Business Analyst experience with a focus on enterprise data projects. * Strong experience with Snowflake. * Experience with Informatica. * Good understanding of enterprise data platforms and data warehousing concepts. * Familiarity with Medallion Architecture (Bronze, Silver, Gold layers) is highly preferred. * Strong understanding of ETL processes and data integration. * Experience performing data analysis, data definition, and source-to-target table mapping. * Experience using AI tools (such as GitHub Copilot or similar) to enhance productivity and documentation. * Excellent analytical, problem-solving, and organizational skills. * Outstanding verbal and written communication skills. * Ability to work effectively in a fast-paced, collaborative environment., * Background in Data Engineering. * Experience with cloud-based data platforms. * Familiarity with Agile/Scrum methodologies. * Knowledge of SQL and data modeling is a plus. * Experience with enterprise-scale data modernization initiatives. Preferred Candidate Profile * Strong communicator with the ability to interact confidently with technical and business teams. * Comfortable working in a dynamic, fast-paced environment. * Self-driven, detail-oriented, and proactive. * Passionate about leveraging AI to improve business analysis and delivery processes. ## Description * Gather, analyze, and document business and data requirements. * Define business rules, data definitions, and perform detailed source-to-target data mapping. * Partner with business stakeholders, data engineers, and internal Business Analysts to translate business needs into technical requirements. * Support enterprise data initiatives involving Snowflake and Informatica. * Work with data engineering teams to understand and improve ETL processes and data pipelines. * Utilize AI-powered tools such as GitHub Copilot to improve productivity, documentation, and analysis workflows. * Contribute to data governance, data quality, and metadata management initiatives. * Participate in Agile ceremonies and collaborate with cross-functional teams to deliver high-quality solutions. ## Related Videos - [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) - [How building an industry DBMS differs from building a research one](https://www.wearedevelopers.com/videos/768-how-building-an-industry-dbms-differs-from-building-a-research-one) - [Web-based Information Visualization](https://www.wearedevelopers.com/videos/84-web-based-information-visualization) - [How Cisco embraced a DevOps culture within its network engineering team](https://www.wearedevelopers.com/videos/99-how-cisco-embraced-a-devops-culture-within-its-network-engineering-team) - [Blueprints for Success: Steering a Global Data & AI Architecture](https://www.wearedevelopers.com/videos/1577-blueprints-for-success-steering-a-global-data-ai-architecture) - [Beyond SQL Generation: How to Teach Agents What Your Database Actually Means](https://www.wearedevelopers.com/videos/100127-beyond-sql-generation-how-to-teach-agents-what-your-database-actually-means) ## Related Articles - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [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)