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Software Mind

[8GT] Senior Business Intelligence Engineer

Software Mind San José, Costa Rica

IT Services and IT Consulting · 1,001-5,000 employees

4 h ago
business-intelligence Senior (5-10 yrs) Full-time Costa Rica
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About the role

Design, build, test, and publish dashboards, reports, metrics, and analysis-ready datasets for business and product users. Standardize metrics with stakeholders, monitor data quality and anomalies, support self-service reporting, and improve BI processes in partnership with data engineering teams.

What they look for

Domo Snowflake SQL Python R Business Intelligence Dashboard Development Data Visualization Data Modeling Query Optimization KPI Definition Data Integration Dataflows Stakeholder Collaboration Agile English Communication

Requirements

Requires at least five years of Business Intelligence experience, including three or more years of recent hands-on Domo experience, plus Snowflake and strong SQL skills. Candidates should also have Python or R experience, strong data visualization and analytical abilities, excellent written and verbal English, and experience working in Agile environments.

Full description

Company Description

Software Mind is a software engineering partner that builds and scales digital products for companies in the US and Europe. Our LATAM teams work directly with client engineering teams on complex, high-impact projects.

Job Description

Software Mind is seeking a Senior Business Intelligence Engineer to join the Data Engineering team of one of our clients, a company in the advertising and retail technology space. You’ll be the go-to expert for reporting, dashboards, and data visualization, turning data into clear stories for product and business teams.

Main Responsibilities

  • Design, build, test, and publish dashboards, metrics, and reports that meet business needs for internal and external users
  • Work with stakeholders to standardize data and metric definitions and recommend new metrics and strategies
  • Deliver high-quality, analysis-ready datasets by integrating internal and external data sources
  • Monitor data for anomalies and help increase visibility of outages and system issues
  • Partner with data engineers to understand upstream data changes and update dependent BI solutions
  • Enable business users to self-serve through the tools you build
  • Identify process improvements to create more scalable, automated reporting
  • Participate in peer reviews, QA activities, and Agile ceremonies
  • Support onboarding of new team members

Qualifications

Requirements

  • 5+ years of experience in Business Intelligence
  • 3+ years of recent, hands-on Domo experience (currently using Domo strongly preferred), including building dashboards, cards, datasets, dataflows (Magic ETL / SQL DataFlows), and reporting solutions
  • Familiarity with Domo’s latest capabilities (e.g., Domo AI, App Studio)
  • Hands-on experience with Snowflake for data warehousing, querying, and reporting
  • Strong SQL skills, including data modeling, query optimization, and stored procedures
  • Proficiency in Python or R for data extraction, transformation, and visualization
  • Proven ability to tell stories through data visualization and translate complex data into actionable business insights
  • Experience defining and standardizing KPIs and business metrics in collaboration with stakeholders
  • Strong analytical and problem-solving skills, and comfort with ambiguity
  • Strong written and verbal English communication skills
  • Experience working in Agile, fast-paced environments

Nice to Have

  • Experience building integrations with SaaS APIs such as Salesforce
  • Production experience with dbt
  • Experience with additional data warehouses such as Redshift or BigQuery.
  • Additional BI tools: Tableau, Power BI, or Looker.
  • Domo certifications (e.g., MajorDomo); other BI certifications (Tableau, Power BI, Looker) are a plus
  • Bachelor’s degree in Computer Science or a related field 

Additional Information

We are accepting applications from LATAM countries

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