Business Analyst - Data & AI (Snowflake/Informatica)
- Discuss this with your agent
- Open in Claude
- Open in ChatGPT
Role details
Tech stack
+8 more
Job 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.
Requirements
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.
Benefits & conditions
$45 an hour - Full-time
Apply for this position
This job is hosted externally. Click below to view the full posting and apply.
Apply on www.indeed.comGood distractions
Talks and stories from around this role — technically off-topic, practically not.
Moments
Explore playlistsVideos
See allRelated articles
See all
What Industries Outside of AI Are Hiring The Most AI Experts?
Making Data Warehouses Fast: A Developer’s Story
How to Become an AI Engineer
Navigating the AI Shift