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Senior Data Analyst / BI Engineer (Finance & End-to-End Data)

LATAM

About Distillery

Distillery Tech Inc accelerates innovation through an unyielding approach to nearshore software development. The world’s most innovative technology teams choose Distillery to help accelerate strategic innovation, fill a pressing technology gap, and hit mission-critical deadlines. 

We support essential applications, mobile apps, websites, and e-commerce platforms through the placement of senior, strategic technical leaders and by deploying fully managed technology teams that work intimately alongside our clients' in-house development teams. 

At Distillery Tech Inc., we’re not here to reinvent nearshore software development; we’re on a mission to perfect it. Distillery Tech Inc. is committed to diversity and inclusion. 

We actively seek to cultivate a workforce that reflects the rich tapestry of perspectives, backgrounds, and experiences present in our society. Our recruitment efforts are dedicated to promoting equal opportunities for all candidates, regardless of race, etc.


About the Position

We are looking for a Senior Data Analyst / BI Engineer who can work across the entire data lifecycle from raw data ingestion and transformation through to BI dashboards and insights. The ideal candidate has experience in finance or ERP driven environments, strong technical expertise in Python, SQL, and Power BI, and the ability to collaborate across business and IT teams. This role is suited for someone with broad exposure to different industries and technologies, along with depth in key areas such as data modeling, dashboard design, or pipeline automation.


Responsibilities

  • Manage the full data pipeline: ingestion, cleaning, modeling, visualization, and reporting.
  • Design and maintain Power BI dashboards for financial and operational stakeholders.
  • Build and optimize SQL queries and data models to support analytics.
  • Use Python for automation, data transformation, and advanced analytics.
  • Integrate with ERP and business systems to deliver reliable reporting solutions.
  • Validate data accuracy and ensure consistency across reporting layers.
  • Partner with finance, business, and IT teams to define KPIs and deliver actionable insights.

Requirements

  • 5+ years of experience in data analysis, BI, or analytics engineering.
  • Strong Power BI expertise (data modeling, DAX, advanced reporting).
  • Proficiency in SQL (Snowflake, MySQL, SQL Server, or similar).
  • Hands-on experience with Python for automation and analysis.
  • Experience integrating data from ERP systems (SAP, Oracle, Dynamics, NetSuite).
  • Proven ability to manage end-to-end workflows from raw data to dashboards.
  • Excellent communication skills to work effectively with both technical and business teams.


Nice To Have

  • Background in finance or accounting (P&L, budgeting, forecasting, variance analysis).
  • Experience with data warehouses (Snowflake, Redshift, BigQuery).
  • Exposure to cloud data platforms (Azure, AWS, GCP).
  • Ability to define KPIs and apply data storytelling in visualizations.


Why You’ll Like Working Here

  • Collaborate with multi-national teams committed to our core values: Unyielding Commitment, Relentless Pursuit, Courageous Ambition, and Authentic Connection.
  • Enjoy a competitive compensation package, generous vacation, and comprehensive benefits.
  • Work remotely in a flexible, supportive environment.
  • Access professional and personal development opportunities to advance your career.