About The Position

Software Mind is seeking a Senior Business Intelligence Engineer to join the Data Engineering team of a client in the advertising and retail technology space. The role serves as an expert in reporting, dashboards, and data visualization, translating data into clear stories for product and business teams. The position is open to applicants from LATAM countries.

Requirements

  • At least 5 years of experience in Business Intelligence.
  • Hands-on Domo experience, including building dashboards, datasets, dataflows, and reporting solutions.
  • 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.
  • 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 Haves

  • Experience building integrations with SaaS APIs such as Salesforce.
  • Production experience with dbt.
  • Experience with additional data warehouses such as Redshift or BigQuery.
  • Experience with additional BI tools such as Tableau, Power BI, or Looker.
  • Certifications in BI tools such as Domo, Tableau, Power BI, or Looker.
  • Bachelor’s degree in Computer Science or a related field.

Responsibilities

  • Design, build, test, and publish dashboards, metrics, and reports for internal and external users.
  • Work with stakeholders to standardize data and metric definitions and recommend new metrics and strategies.
  • Integrate internal and external data sources to deliver high-quality, analysis-ready datasets.
  • Monitor data for anomalies and improve visibility into 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 built.
  • Identify process improvements to make reporting more scalable and automated.
  • Participate in peer reviews, quality assurance activities, and Agile ceremonies.
  • Support onboarding of new team members.
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