Baker Hughes
Baker Hughes
„Baker Hughes“ yra energetikos technologijų įmonė, kurianti, gaminanti ir prižiūrinti įrangą bei skaitmeninius sprendimus energetikos ir pramonės sektoriams. Jos veikla apima naftos telkinių paslaugas ir įrangą, taip pat pramonės ir energetikos technologijas, derinant inžineriją, duomenis ir mokslą, kad klientai galėtų gerinti saugą, efektyvumą ir aplinkosaugos rezultatus. Įmonės siūlomos darbo galimybės gali tikti specialistams, norintiems pritaikyti technologijas ir technines žinias besikeičiančioms energetikos sistemoms bei mažesnio anglies dioksido kiekio sprendimams.

Data Visualization Engineer – Power BI

Build enterprise Power BI analytics for Baker Hughes’ energy business, supporting self-service reporting and AI-enabled insights. Help advance modern data platforms and make analytics easier to adopt across the organization.

Aprašymas

  • Build and maintain enterprise dashboards, scorecards, semantic models, and analytics in Power BI.
  • Work with Data Engineering teams to deliver business solutions using Databricks and enterprise data products.
  • Turn complex business needs into intuitive visual experiences that encourage adoption, self-service analytics, and data-informed decisions.
  • Create reusable metrics, KPIs, semantic models, and reporting standards that improve consistency and confidence in enterprise reporting.
  • Apply visualization practices that support strong user experience, accessibility, storytelling, performance, and actionable insights.
  • Support AI-enabled analytics tools such as Power BI Copilot, ThoughtSpot Spotter, and Databricks Genie.
  • Identify ways to automate reporting, provide intelligent recommendations, and reduce manual analysis with AI-assisted analytics.
  • Contribute to platform modernization, including Tableau rationalization and migration to strategic analytics platforms.
  • Keep analytics solutions aligned with enterprise governance, security, privacy, and data quality standards.
  • Resolve reporting, semantic model, performance, and user adoption issues across supported visualization platforms.
  • Develop standards, documentation, and training materials to speed adoption of enterprise analytics capabilities.

Reikalavimai

  • Hold a bachelor’s degree in computer science, information technology, data analytics, engineering, or a related field.
  • Bring at least five years of experience developing enterprise analytics and visualization solutions.
  • Have strong practical expertise in Microsoft Power BI, including semantic modeling, DAX, Power Query, report development, deployment, and workspace governance.
  • Have development or administration experience with ThoughtSpot and/or Tableau.
  • Have strong SQL, data modeling, and analytical problem-solving skills.
  • Have experience with Databricks, cloud data platforms, or modern lakehouse architectures.
  • Understand enterprise analytics governance, security, and data management practices.
  • Have worked directly with business stakeholders to turn requirements into scalable analytics solutions.
  • Have experience supporting enterprise-scale Power BI and analytics platforms.
  • Be familiar with Microsoft Fabric, AI-assisted analytics, and modern Data & AI architectures.
  • Understand conversational analytics, natural language querying, and AI-generated insights.
  • Have experience implementing or supporting tools such as Copilot, ThoughtSpot Spotter, Genie, Pulse, or similar intelligent analytics capabilities.
  • Have experience with analytics platform migrations, modernization programs, and self-service analytics initiatives.

Privalumai

  • Flexible work patterns may be available.
  • Working options can be discussed during the application process.

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