Senior Data Analyst (Python / SQL / dbt)

iTeamly is hiring a Senior Data Analyst to work remotely on data-driven trend detection and social signal analysis projects, collaborating closely with senior data leadership.

• 5+ years of commercial experience as a Data Analyst, Analytics Engineer, or in a comparable data-focused role.
• Strong commercial experience with Python and SQL.
• Hands-on experience with dbt.
• Experience working with Snowflake.
• Experience working with large datasets, data preparation, and data quality.
• Ability to independently solve complex and ambiguous technical problems.
• Experience translating business or product requirements into technical solutions.
• Ability to build prototypes and validate new analytical approaches quickly.
• Experience with Git/GitHub.
• High level of autonomy, ownership, and accountability.
• Ability to work independently with minimal oversight.

Nice to have:

• Experience analysing social media, web, trend, or behavioural data.
• Experience with Airflow.
• Experience with Data Vault modelling.
• Experience with Tableau and/or Power BI.
• Experience evaluating and integrating new external data sources.
• Practical experience using AI coding tools such as Copilot, Cursor, Codex, or Claude Code.

• Owning the technical approach for extracting, analysing, and scoring trend signals and hashtags from social platforms.
• Evaluating new social data sources and assessing their potential value.
• Defining, validating, and improving analytical metrics.
• Building prototype data pipelines and analytical experiences to validate new approaches.
• Translating ambiguous business and product requirements into clear technical plans.
• Taking ownership of complex technical implementation within the project.
• Cleaning and preparing large datasets while ensuring data quality and consistency.
• Building automated tests into data pipelines to improve reliability.
• Creating quick prototypes to validate concepts with stakeholders before full implementation.
• Documenting processes and maintaining work in Jira.
• Delivering clean, reusable code, datasets, and data pipelines.
• Working closely with senior data leadership and supporting the technical direction of the workstream.
• Using AI coding tools effectively while maintaining full ownership of the quality and correctness of the output.