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Senior Business Analyst - Sales Enablement

Posted 8 days agoViewed

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💎 Seniority level: Senior, 3+ years of experience in analytics, 1+ years of experience manipulating and transforming large datasets

🔍 Industry: Technology / SaaS

🏢 Company: GoDaddy👥 5001-10000💰 $800,000,000 Post-IPO Equity about 3 years ago🫂 Last layoff about 1 year agoWeb HostingDomain RegistrarWeb DevelopmentOnline Portals

🗣️ Languages: English

⏳ Experience: 3+ years of experience in analytics, 1+ years of experience manipulating and transforming large datasets

Requirements:
  • Bachelor's degree in Finance, Economics, Business, or a related field; Master's degree preferred.
  • 3+ years of experience in analytics.
  • 1+ years of experience manipulating and transforming large datasets.
  • Proficiency in SQL for data discovery and extraction.
  • Experience with tools like Python and R preferred.
  • Proficiency with BI tools such as Tableau and Quicksight.
  • Advanced proficiency in Microsoft Office suite, especially Excel.
  • Excellent written and verbal communication skills.
  • Ability to collaborate with cross-functional teams.
  • Detail-oriented with strong organizational skills.
  • Proven ability to work in a fast-paced environment.
Responsibilities:
  • Collaborate with Business Partners: Act as the main liaison between GoDaddy and our business partner to ensure issues are resolved promptly and efficiently.
  • Ensure Data Accuracy and Timeliness: Monitor and validate data flowing from SaaS systems into our internal platforms, ensuring data integrity for internal stakeholders.
  • Develop Reporting Solutions: Build end-to-end reporting solutions from diverse data structures and sources.
  • Create Dynamic Dashboards: Develop analytic dashboards to provide stakeholders comprehensive insights.
  • Analyze Sales Data: Conduct data analysis to identify trends and areas for improvement.
  • Communicate Data-Driven Insights: Present findings that align with business objectives.
  • Support Sales Development Planning: Collect requirements and make recommendations based on data.
  • Collaborate cross-functionally: Work with various teams to optimize business processes.
  • Drive Business Improvement: Make critical data-driven decisions for business optimization.
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