Analytics Engineer, BI

🔥 4 hours ago

🌐 Argentina, Uruguay, +1 more countries – Remote

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⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Analytics Engineer

👻 Ghost score 22%

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SunnyData

51 - 200 employees

💼 Consulting

🏥 Healthcare

📦 Logistics

Consulting • Healthcare • Logistics

SunnyData is a Databricks-focused data engineering and AI consulting firm that helps organizations modernize their data platforms, migrate legacy EDWs and data lakes to Databricks, and operationalize AI/ML and GenAI initiatives. The company provides Databricks-certified engineers, migration accelerators, data governance, MLOps, and domain expertise for industries such as healthcare and financial services.

📋 Description

• Develop, modify, and maintain dashboards and reports in Power BI, Tableau, Databricks AI/BI, Looker, or similar BI tools • Translate business requests submitted through the ticketing system into accurate and actionable data visualizations • Ensure consistency in definitions, metrics, and data logic across reports • Optimize queries and dashboards for performance and clarity • Document logic and assumptions behind key metrics and dashboards • Create and maintain database views, derived tables, and other analytical objects • Perform data modeling and transformation tasks for reliable downstream reporting • Troubleshoot data discrepancies and validate data accuracy across systems • Collaborate on data structure and warehouse organization improvements • Deliver accurate, well-documented dashboards within agreed SLAs • Produce clean, reusable SQL objects for long-term reporting needs • Improve clarity and consistency in metric definitions and reduce reporting-request back-and-forth • Collaborate closely with cross-functional teams and support more junior team members

🎯 Requirements

• 4+ years of related experience in analytics/BI and data engineering • Strong SQL proficiency, including advanced querying, joins, CTEs, aggregations, and window functions • Hands-on experience with cloud-based data warehouses • Experience building dashboards and reports in Looker, Tableau, or Power BI • Ability to interpret business requirements and translate them into technical solutions • Strong attention to detail and data validation practices • Ability to lead business interactions, define standards, document KPIs and reports, optimize large data models, and support junior team members • Bachelor’s Degree in Computer Science or an Engineering-related field • English level required; application form requires English-level selection

🏖️ Benefits

• Opportunities for professional development and career advancement • Work with cutting-edge technologies and industry leaders in data engineering and AI • Supportive collaborative culture and knowledge sharing • Equal opportunity employer committed to unbiased hiring practices

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