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Senior Data Analyst / BI Engineer (Finance & End-to-End Data) 1 of 2 – Data Analyst

LATAM

Job Description: Senior Data Analyst – Finance & Business Intelligence

Location: [Insert Location / Remote Option]

Engagement: [Full-time / Contract]

Start Date: [Insert Timeline]

About the Role

We are seeking a Senior Data Analyst with a strong background in both finance and IT to help bridge the gap between business needs and technology solutions. The ideal candidate is comfortable working with financial data, ERP systems, and modern analytics tools to design dashboards, automate processes, and deliver actionable insights.

This role involves using Power BI, Python, and SQL to migrate, rebuild, and validate dashboards, while also developing new reporting solutions. You’ll collaborate directly with finance and operations teams to ensure accurate, reliable, and business-ready data.

Responsibilities

  • Design, migrate, and maintain Power BI / Tableau dashboards for financial and operational reporting.

  • Write and optimize SQL queries to extract, transform, and validate business relevant data.

  • Use Python to automate data processes and develop analytics workflows.

  • Integrate data from multiple systems (e.g., SAP, Oracle, Dynamics, NetSuite) into centralized reporting solutions.

  • Partner with finance and business teams to define KPIs, metrics, and reporting requirements.

  • Conduct data validation and reconciliation to ensure accuracy of reports.

  • Collaborate with IT and cross-functional teams to optimize data flows and reporting.

  • Deliver clear documentation and support for reporting solutions.

Qualifications

  • 5+ years in data analysis, BI, or analytics engineering roles.

  • Strong Power BI / Tableau / Looker skills (DAX, data modeling, dashboard development). Exposure to data storytelling and advanced visualization practices.

  • Advanced SQL expertise for data extraction and transformation.

  • Proficiency with Python for automation and analytics.

  • Experience working with financial/operational data.

  • Solid understanding of finance and accounting concepts (P&L, forecasting, variance analysis).

  • Proven ability to manage projects end-to-end — from raw data to final dashboards.

  • Strong communication and stakeholder management skills.

Nice-to-Haves

  • Experience with data warehouses (Snowflake, Redshift, BigQuery) and ETL / ELT.

  • Familiarity with cloud platforms (AWS, Azure, GCP).

Consulting or client-facing experience.