Senior Data Analyst
New
NearformData & AI
Candidates based in PolandContractSenior
Salary not disclosed
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Job Details
- Languages
- English
- Required Skills
- SQLETLMicrosoft Power BISnowflakeTableauData modelingdbtLooker
Requirements
- Significant experience delivering at Senior Data Analyst level.
- Strong SQL skills for data analysis and reporting.
- Experience analysing complex datasets and identifying actionable insights.
- Dashboarding and visualisation experience using Tableau, Power BI, or Looker.
- Familiarity with statistical analysis and data interpretation.
- Experience working with data models and cloud data warehouses such as Snowflake.
- Knowledge of dbt and data transformation workflows.
- Strong understanding of data quality and reporting best practices.
- Experience collaborating with product, engineering, and business stakeholders.
- Ability to translate data into clear business insights and recommendations.
- Experience working in agile and cross-functional environments.
- Professional proficiency in English.
- Familiarity with data governance, security, and compliance best practices.
Responsibilities
- Analysing large and complex datasets to identify trends, patterns, and opportunities for business improvement.
- Creating dashboards, reports, and data visualisations using tools such as Tableau, Power BI, or Looker to communicate insights effectively to stakeholders.
- Collaborating with product, engineering, operational, and clinical teams to define reporting requirements and ensure data accuracy and consistency.
- Supporting the development and optimisation of data models and data warehouse structures to improve analytical performance and scalability.
- Performing statistical analysis to support forecasting, experimentation, and data-driven decision-making.
- Translating business questions into analytical frameworks and delivering actionable recommendations based on data findings.
- Monitoring data quality and supporting governance processes to maintain reliable and accurate reporting.
- Working with cloud-based data platforms and warehousing solutions such as Snowflake to support analytics and reporting workflows.
- Supporting ETL and data transformation processes in collaboration with technical teams and data engineers.
- Communicating complex analytical findings clearly to both technical and non-technical stakeholders.
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