Top Data Analyst Jobs in Leon

The Data Analyst role focuses on leveraging advanced analytics to address strategic business challenges, including designing and implementing analytical solutions.

Senior data analyst responsible for statistical modeling, EDA, forecasting, building complex reports and visualizations, assembling large datasets, troubleshooting data issues, performing QA, and improving data systems and forecasting techniques.

Build and maintain analytics data models, dashboards, and reports. Use SQL (Postgres, Trino, Iceberg) and dbt to power financial metrics. Perform deep-dive analyses using SQL and Python (Jupyter, Pandas) to answer business questions, operationalize data, and improve reporting and automation.

Perform statistical modeling and analysis of structured and unstructured data, create visualizations and dashboards, assemble and QA large datasets, troubleshoot database issues, generate monthly Excel/Google Sheets reports, and work with analytics teams to improve data systems and accuracy.

The role focuses on developing reporting functions and measuring media performance, transforming data using Snowflake, dbt, and analyzing with R or Python.

The Data Analyst III will analyze both structured and unstructured datasets, create visualizations, generate reports, perform quality assurance, and troubleshoot database issues to support data infrastructure needs.

The Data Analyst, Growth will analyze marketing data to deliver actionable insights, design dashboards, automate reporting, and support cross-functional projects to improve client acquisition and retention.

Manage tracking plans and data governance for customer and product analytics. Build Mixpanel dashboards, translate business needs into technical requirements, validate data quality, consult stakeholders, and support data integration across data-marts and warehouses. Liaise between IT and Product, troubleshoot data issues, and continuously improve analytics platforms and documentation.

Provide data analysis and reporting as a virtual assistant: create and maintain reports, perform data entry and validation, generate visual insights, collaborate with stakeholders, track action items, and improve workflows to optimize reporting efficiency.

The Data Analyst II will analyze structured and unstructured datasets, develop metrics, create visualizations, and ensure data consistency while troubleshooting technical issues.

The role involves developing predictive analytics models using Python, creating reports, conducting data evaluation, and communicating insights to support business decisions.

The role involves retrieving data using SQL, supporting advanced analytics projects, and communicating findings effectively with stakeholders to drive business strategy.

Lead analytics for an e-commerce subscription business: build Tableau/Snowflake dashboards, run A/B tests, regression and forecasting, automate workflows with SQL/Python, Airflow and dbt, and partner with Product/Marketing/Engineering to deliver actionable insights and recommendations.

The Marketing Data Analyst III supports sales and marketing for Ancillary Products through data analysis, performance reporting, and project management for customer acquisition and retention.

The Revenue Operations Data Analyst will analyze datasets, optimize dashboards, and develop data pipelines to support revenue operations and strategic decision-making.

Lead end-to-end data transformation and migration for post-merger integrations into Salesforce and NetSuite. Analyze, clean, and map complex source data, ensure GAAP-compliant revenue recognition, validate and reconcile post-migration data, and collaborate with cross-functional accounting, sales, and systems teams to resolve issues and support testing and process improvements.

Build, maintain, and optimize data pipelines and ETL integrations (BigQuery, Fivetran, dbt). Design automations (n8n/Zapier/Make), ensure data quality and system reliability, document workflows, troubleshoot pipeline issues, and translate business needs into scalable systems to eliminate manual work.

Manage the end-to-end data issue lifecycle for North America: intake, triage, root cause analysis, remediation planning and execution oversight. Produce IMR reporting and dashboards, maintain audit-ready records, engage stakeholders, and improve IMR processes and tooling to strengthen data quality and controls.

Design, develop, and maintain management and executive reporting and dashboards to support Finance and Distribution. Perform data validation, quality assurance, and analysis of large datasets to identify trends, risks, and opportunities. Support advanced analytics projects, translate findings into actionable business insights, and collaborate with stakeholders to define reporting requirements and priorities.

Own Growth analytics end-to-end: build and maintain production data pipelines and dbt models, define north-star metrics and dashboards, design and run A/B experiments using causal inference, embed LLM/GenAI tooling, and translate insights into strategic recommendations for leadership.

The Senior Data Analyst analyzes large datasets, develops SQL queries, utilizes Python for analytics, and collaborates on insights within GCP and BigQuery.