[8GT] Senior Business Intelligence Engineer

Posted 11 Hours Ago
Be an Early Applicant
Hiring Remotely in San Jose, CRI
Remote
Senior level
Software
The Role
Build and maintain dashboards, reports, metrics, and analysis-ready datasets for internal and external users. Standardize data definitions, monitor anomalies, support self-service analytics, and improve reporting scalability through automation. Collaborate with data engineers and stakeholders on upstream changes, data quality, and business insights. Participate in QA, peer reviews, Agile ceremonies, and onboarding while using BI tools, data warehouses, SQL, and Python or R.
Summary Generated by Built In
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 with BI tools such as Domo, Tableau, Power BI, or Looker
  • Experience with data warehouses (Snowflake, Redshift, or BigQuery)
  • 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
  • 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

  • Hands-on experience creating datasets, dataflows, and dashboards in Domo
  • Experience building integrations with SaaS APIs such as Salesforce
  • Production experience with dbt
  • Certifications in BI tools (Domo, Tableau, Power BI, Looker)
  • Bachelor’s degree in Computer Science or a related field

Additional Information

We are accepting applications from LATAM countries
#LI-DNI

Skills Required

  • 5+ years of experience with BI tools such as Domo, Tableau, Power BI, or Looker
  • Experience with data warehouses, including Snowflake, Redshift, or BigQuery
  • 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
  • Strong analytical and problem-solving skills, with comfort working in ambiguity
  • Strong written and verbal English communication skills
  • Experience working in Agile, fast-paced environments
  • Hands-on experience creating datasets, dataflows, and dashboards in Domo
  • Experience building integrations with SaaS APIs such as Salesforce
  • Production experience with dbt
  • Certifications in BI tools such as Domo, Tableau, Power BI, or Looker
  • Bachelor's degree in Computer Science or a related field

Software Mind Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Software Mind and has not been reviewed or approved by Software Mind.

  • Fair & Transparent Compensation — Pay is considered competitive for core hiring markets, with “good salary” cited in multiple locales. Public salary snapshots provide a baseline that helps candidates assess offers and negotiations.
  • Flexible Benefits — Remote or hybrid options are prominently highlighted, and a remote‑work program is publicly noted alongside positively cited work‑from‑home experiences. Flexibility around schedules and location is presented as part of the package.
  • Wellbeing & Lifestyle Benefits — Private medical care, language classes, sports/fitness support, and learning initiatives are listed for several Central/Eastern European locations, with occasional workation perks promoted. These lifestyle‑oriented offerings complement base pay and can enhance perceived total rewards.

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The Company
HQ: Kraków
1,000 Employees
Year Founded: 1999

What We Do

Software Mind is a global digital transformation partner with operations throughout Europe, the US and LATAM. Driven by tech and empowered by people, we provide companies with software engineers and autonomous, cross-functional development teams who manage software life cycles from ideation to release and beyond. For over 20 years we’ve been enriching organizations with the talent they need to boost scalability, drive dynamic growth and bring disruptive ideas to life. Our top-notch engineering teams combine ownership with leading technologies, including cloud, AI, data science and embedded software to accelerate digital transformations and boost software delivery. A culture, driven by trust, that embraces openness, craves more and acts with respect enables our experts to create evolutive solutions that support scale-ups, unicorns and enterprise-level companies around the world.

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