Data Analyst (Python / SQL / dbt)
15.5k - 21.5k PLN15 500 - 21 500 PLN/ mies.UoP
SeniorFull-time·Umowa o pracę
#443964·Dodano 2 dni temu·0
Źródło: nofluffjobs.comTech Stack / Keywords
PythonTableauGitSocial mediaVaultAI
Firma i stanowisko
iTeamly is hiring a Data Analyst to work remotely on social and web data, focusing on turning large datasets into insights using modern data platforms.
Wymagania
- 2–3 years of commercial experience in a Data Analyst or similar data-focused role.
- Strong experience with Python and SQL.
- Hands-on experience with dbt.
- Experience working with Snowflake.
- Experience analysing and preparing large datasets.
- Experience with Tableau and/or Power BI.
- Experience with Git/GitHub.
- Ability to work independently on well-defined technical tasks.
- Strong analytical and problem-solving skills.
- High level of ownership and attention to data quality.
Nice to have:
- Experience working with social media or web data.
- Experience working with external APIs.
- Experience with Airflow.
- Familiarity with Data Vault modelling.
- Practical experience using AI coding tools such as Copilot, Cursor, Codex, or Claude Code.
Obowiązki
- Extracting, cleaning, and analysing trend and social media data.
- Identifying trends and patterns across large datasets.
- Supporting the evaluation of new social and web data sources.
- Building prototype data pipelines and analytical metrics.
- Preparing clear analysis outputs and data visualisations.
- Cleaning and preparing large datasets while identifying data quality issues.
- Applying automated testing to data pipelines and analytical outputs.
- Building quick prototypes to validate findings and new approaches.
- Delivering clean and reusable code.
- Documenting processes and maintaining tasks in Jira.
- Working independently on assigned project deliverables and proactively flagging risks or blockers.
- Using AI coding tools while maintaining ownership of the quality and correctness of the output.
Benefity
- Fully remote work.
- Opportunity to work with large and diverse datasets.
- Hands-on work with a modern analytics stack including Python, SQL, dbt, and Snowflake.
- Opportunity to explore and evaluate new data sources and analytical approaches.
- Technical support and collaboration with experienced data specialists.
- Access to modern development and AI-assisted coding tools.
- Multisport card.
- Private healthcare.
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