Analytics (BI) Engineer
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 1h ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 3h ago
The date the source published, not the day we noticed it (2026-10-02). Last seen at its source just now.
Is it remote?
Marked remote on the employer's board
Their board carries a remote setting on this posting — a field they filled in, not wording we read. The location field names somewhere specific, which is usually where the team or the entity sits.
Who may apply?
Argentina
The description states no restriction of its own. This is the source's own tag.
Pay not stated
Similar roles pay $4,075–7,250/mo
Middle 50% of 15 listings that do state pay — Engineering · all levels · Argentina · USD/month. This employer has published no salary; this is what comparable listings we hold disclose, never converted between currencies or periods. How this is calculated.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
-
ashby employer's own board first seen 2h ago · last seen just now
The listing
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:
SunnyData is dedicated to building a workforce that reflects the world around us. We are an equal opportunity employer committed to unbiased hiring practices. All qualified applicants will receive consideration for employment without regard to race, religion, gender identity, disability, veteran status, or any other protected characteristic.
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.