Data Analyst owning analytics delivery, data quality, and operational support for reporting systems.
Responsibilities
Translate business objectives into analytical requirements and deliver ad-hoc and recurring analyses to support decision-making.
Monitor data pipelines, dashboards, and jobs for failures, providing operational support during incidents and outages.
Investigate data discrepancies across source systems and downstream reporting, performing root-cause analysis to resolve issues and implement preventative controls.
Align and maintain data definitions, metrics, and business rules across teams to ensure accuracy and consistency.
Present insights through dashboards and reports, communicating findings to technical and non-technical stakeholders.
Required Skills
7+ years of experience as a Data Analyst or in an analytics-driven role.
Strong proficiency in SQL and Python for data manipulation and analysis.
Experience working with databases and large, complex datasets.
Expertise with data visualization and reporting tools, specifically Power BI or Tableau.
Hands-on experience with modern data platforms including Azure, AWS, Databricks, or Snowflake.
Solid understanding of data validation, data quality, and reconciliation techniques.
Ability to independently investigate complex data issues from source systems through reporting layers.
Preferred Skills
Familiarity with cloud data warehouses, ETL/ELT tools, and data transformation tools like dbt.
Knowledge of basic statistics and experiment analysis, such as A/B testing.