Company Description

CoComply AI is a leading platform built by data teams for data teams, offering solutions for data and AI governance and certification. The platform provides organizations with a comprehensive approach to achieve governance, certification, and monetization of their data and AI assets through a structured four-phase process. Equipped with Regulatory Intelligence and Certification Management modules, CoComply AI aligns organizational practices with regulatory standards and compliance requirements.

Role Overview

We’re looking for a technically strong intern to support the design, implementation, and automation of data and AI governance controls across real-world enterprise environments. This role sits at the intersection of data engineering, analytics, and governance execution—not policy writing.

You’ll work directly on live assets such as reports, pipelines, and metadata to help inventory, map, validate, and certify critical data assets used by regulated enterprises.

What You’ll Work On

• Analyze Tier 1 / Tier 2 reports and dashboards to identify underlying data elements
• Perform attribute-level mapping between reports, source systems, and canonical data models (CDMs)
• Support data lineage documentation (source → transformation → report)
• Assist with data quality rule definition and validation
• Help automate evidence generation for audit and regulatory reviews
• Use SQL / Python to profile data and flag gaps or anomalies
• Contribute to internal tooling or scripts that reduce manual governance effort

Required Skills

• Strong SQL (joins, aggregations, window functions)
• Working knowledge of Python or another scripting language
• Familiarity with data warehouses (Snowflake, BigQuery, Redshift, Databricks, etc.)
• Ability to read and interpret report logic and data schemas
• Comfort working with imperfect, real-world enterprise data

Nice to Have

• Exposure to data governance, data quality, or metadata tools
• Understanding of financial or regulatory reporting
• Experience with Git, YAML, or CI/CD workflows
• Familiarity with dimensional models or canonical data models

What You’ll Learn

• How governance actually works  in practice  (not slide decks)
• How regulatory expectations translate into technical controls
• How certified data assets are built, validated, and defended
• How to work inside enterprise-scale data environments

Analytics & Reporting Certification Intern

Focus:  Reports, Dashboards, Certification Readiness

What You’ll Do

• Inventory enterprise reports and dashboards
• Decompose reports into metrics, dimensions, and calculations
• Map report logic back to source data elements
• Validate consistency, accuracy, and traceability
• Prepare  certification-ready documentation  and evidence

Skills Emphasized

• SQL
• Analytical thinking
• Attention to detail
• Ability to explain “how this number is produced”