Analytics (BI) Engineer

Reposted 17 Days Ago
Be an Early Applicant
Hiring Remotely in Uruguay
Remote or Hybrid
Mid level
Information Technology • Software • Analytics
The Role
The Analytics Engineer will develop and maintain dashboards, optimize queries, perform data modeling, and ensure data accuracy for reporting needs.
Summary Generated by Built In
Analytics (BI) Engineer

At SunnyData our mission is to help our customers in their data journey to power their business. We believe a solid foundation is the key to achieving outstanding data driven results: highly scalable architectures, robust data engineering pipelines, simple data consumption layers and accurate ML and AI applications. We are seeking a Data Analytics Engineer to support ongoing reporting and data engineering needs. This role will focus on building and maintaining business reports in different suites of BI tools, as well as performing modeling and transformation with large datasets.

A proactive mindset, strong communication skills and ability to collaborate closely with cross-functional teams are key.


The Impact You Will Have

1. Business Intelligence & Reporting
  • Develop, modify, and maintain dashboards and reports in BI tools such as PowerBI, Tableau and Databricks AI/BI.

  • Translate business requests (submitted via 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.

2. Data Engineering & Data Modeling
  • Advanced SQL knowledge and proven proficiency in writing and optimizing SQL queries

  • Create and maintain database views, derived tables, and other analytical objects to support reporting needs.

  • Proven work in dashboard engineering projects, with a focus on storytelling and usability

  • Perform data modeling and transformation tasks to ensure reliable downstream reporting.

  • Troubleshoot data discrepancies and validate data accuracy across systems.

  • Collaborate on improvements to data structure and warehouse organization when needed.

3. Deliverables & Success Criteria
  • Accurate, well-documented dashboards delivered within agreed SLAs.

  • Clean, reusable SQL objects supporting long-term reporting needs.

  • Improved clarity and consistency in metric definitions.

  • Reduced back-and-forth on reporting requests due to thoughtful implementation.

What We Look For

  • 4+ years of related experience in analytics/BI and data engineering.

  • Strong SQL proficiency (advanced querying, joins, CTEs, aggregations, window functions).

  • Hands-on experience with cloud based data warehouse.

  • Experience building dashboards and reports in BI tools such as Looker, Tableau, Power BI.

  • Ability to interpret business requirements and translate them into technical solutions.

  • Strong attention to detail and data validation practices.

  • Profile oriented toward leading business interactions, defining standards, documenting KPIs and reports, optimizing large data models, and supporting more junior team members.

Education:

  • Bachelor’s Degree in Computer Science or Engineering related field.


Our Commitment to Diversity and Inclusion

At SunnyData, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at SunnyData are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.

Why Join SunnyData?

  • Innovative Environment: Work with cutting-edge technologies and industry leaders in data engineering and AI.

  • Customer Impact: Make a real difference in how businesses leverage data for strategic decision-making.

  • Career Growth: Opportunities for professional development and career advancement.

  • Collaborative Culture: Join a supportive team that values collaboration and knowledge sharing.

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The Company
HQ: Minneapolis, Minnesota
103 Employees

What We Do

SunnyData is a Databricks-centered partner with deep Data Engineering roots, exclusively focused on migrating, modernizing and scaling data solutions on the Databricks platform. We bridge the gap between concept and real-world impact, recognizing that a solid Data Engineering foundation is essential for successful AI, ML, Data Science, and Analytics projects. Our expertise ensures that advanced technologies are implemented effectively, turning lab-driven innovation into tangible business outcomes and measurable ROI. Founded by data architects and engineers with a proven track record, our leadership team includes early adopters of Spark and leaders in Apache big data projects. With over 20 years of experience across Cloudera, Informatica, and phData, our team features a Databricks MVP, enabling us to solve the most complex data challenges. What We Specialize In: + Data Engineering + Data Migrations to Databricks + GenAI & Data Science + Data & AI Governance with Unity Catalog * Our deep industry expertise in Financial Services, Healthcare & Life Sciences, and Retail enables us to deliver highly contextualized solutions for regulated and data-driven sectors. We operate and deliver from both the USA and Uruguay. We chose Uruguay for its strategic location (within 3 hours of all U.S. timezones), top-tier data talent (#1 exporter in LATAM), and innovative culture, providing the fastest internet in LATAM and offering universal and free quality education.

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