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- 5+ years experience in data analytics and data modeling
- Write and optimize custom SQL queries to extract, validate, and analyze data from multiple sources
- Collaborate with data engineering teams to ensure clean, structured data pipelines using Python, PySpark, and Databricks
- Analyze data for development validation and operational support
- Experience with financial master data and business logic in enterprise environments
- Strong analytical skills with the ability to interpret business requirements into performant solutions
- Ability to work in agile environments and adapt to changing business needs
- Willingness to learn and apply functional knowledge in finance and forecasting
- Strong communication skills for engaging with cross-functional teams and business users
- Experience in scaling solutions across markets
Plusses :
Experience with cloud databases such as Synapse, Teradata, DBSQL, Snowflake, or similarJob Description :
A client seeks a hands-on Lead Data Analyst to support AI-driven forecasting in finance. Responsibilities include supporting the Mosaic platform, which handles planning, forecasting, and reporting analytics. Use Databricks, Synapse Analytics, and Teradata for data processing and analysis. Engage in stakeholder management, providing data-driven insights.
Key Responsibilities :
Lead data discovery for new markets by analyzing historical dataPartner with AI / ML teams to prepare and validate data for modelingBenchmark data quality and collaborate on source-to-target mappingTranslate business logic into actionable insightsAnalyze forecast data to identify defects and improvementsSupport AI projects with deep analytical insightsCompensation : $15.00-18.00 / hr
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Azcapotzalco, Mexico City, Mexico 3 weeks ago
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