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Senior BI Engineer

Posted 22 days agoInactiveViewed

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💎 Seniority level: Senior, 4-7 years

🏢 Company: SharkNinja👥 1001-5000💰 $272,130,142 Post-IPO Secondary about 1 year agoConsumer ElectronicsRetailHardwareManufacturing

⏳ Experience: 4-7 years

Requirements:
  • 4-7 years of experience with increasing responsibilities
  • 3+ Years of experience delivering analytics to internal or external clients
  • Strong experience with Business Intelligence tools such as PowerBI, Tableau, or Qlik
  • Strong experience in SQL required, experience with R, Python and/or Java Script preferred
  • Strong understanding of data warehouse architecture, best practices, and frameworks
  • Proficient at leading cross functional projects and delivering outcomes on time
  • Ability to juggle multiple projects at once, last minute requests and quick turnarounds
  • Strong detail orientation with proven ability to work quickly and accurately
  • Confidence to challenge the way reporting & analysis has been done in the past
  • Must thrive in a fluid and changing environment
  • Experience mentoring associates in technical and soft skills
Responsibilities:
  • Work with the business to identify opportunities to deliver actionable insights and/or make informed decisions
  • Operate as a Sr BI Engineer building highly functional, effective data visualizations and dashboards
  • Translate business requirements into functional data visualizations and dashboards from curated data models and sources
  • Ensure data quality and accuracy by deeply understanding business processes, metrics, and KPIs
  • Support business users on data literacy by providing training, Q&A support, and data quality evaluations
  • Participate in developing department business processes and overall strategy
  • Manage resource loading of your team members and identify/communicate possible resource constraints early
  • Identify risks, develop mitigations and be transparent about good and bad news
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  • Build tools that expand upon automation via DEPT’s existing systems
  • Take lead on projects and contribute to the evolution of processes by working with the team as well as independently with the goal of driving efficiency
  • Manage creation, implementation, validation and ongoing support of data visualization tools and recurring reports
  • Serve the client as an expert on data visualization best practices
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