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Senior Data Analyst (Remote)

Roles & Responsibilities

  • Degree or equivalent in Statistics, Data Science, Analytics, Computer Science, Engineering, or another quantitative field
  • Proficiency in SQL and Python with scripting/automation capabilities
  • 5+ years of proven experience as a Data Analyst or Business Data Analyst
  • Technical expertise in data models, database design, data mining and segmentation; experience with BI tools (Power BI, Looker)

Requirements:

  • Lead complex company, customer and sales analysis from gathering requirements, performing the analysis and providing actionable insights and recommendations to the business
  • Identify, analyze, and interpret trends or patterns in complex data sets
  • Define data architecture and collaborate with the data engineering team to implement and refine it on an ongoing basis
  • Identify opportunities to initiate new analysis that create a positive impact on the business

Job description

The Senior Data Analyst brings advanced analysis, modeling and performance measurement on projects across the company. Clear on the purpose of data, how to capture, manipulate, interpret and apply it, they demonstrate the value and impact of this sophisticated science to inform client behaviors and activities.

Requirements

  • Preferred degree with a specialization in Statistics, Data Science, Analytics, Computer Science, Engineering, or another quantitative field or equivalent
  • Mastery of SQL, Python, and other scripting/automation techniques
  • 5 years proven experience as a Data Analyst or Business Data Analyst
  • Technical expertise regarding data models, database design development, data mining and segmentation techniques
  • Experience with Power BI, Looker or other BI tools
  • Strong analytical skills, attention to detail and data quality, incisive thinking, nuanced stakeholder engagement, team-oriented, and passion for growing a business
  • Your ability to think strategically, with a strong focus on details and accuracy, and the flexibility necessary to collaborate effectively with cross-functionally is critical to succeeding in this position
  • Comfort with adapting and adjusting to multiple demands, shifting priorities, ambiguity, and rapid change

Responsibilities

  • Lead complex company, customer and sales analysis from gathering requirements, performing the analysis and providing actionable insights and recommendations to the business
  • Identify, analyze, and interpret trends or patterns in complex data sets
  • Define data architecture and work closely with data engineering team to implement and refine it on an ongoing basis
  • Identify opportunities to initiate new analysis that create a positive impact on the business
  • Develop relationships with internal and external stakeholders and earn their trust to challenge the status quo together by telling stories with data, both visually and verbally
  • Work with data engineering team to define, restructure and enable company-wide use of reporting tools (i.e. Looker, Power BI, etc.)
  • Act as a key stakeholder to help automate current customer onboarding processes
  • Work with team leaders at all levels to solve complex problems across the organization, develop recommendations, and present to executive leadership

Benefits:

  • Culture: We are a humble, client-first team that is focused on collaborative data-driven success.
  • Speed: We move fast, love new ideas and give you the opportunity to push your limits.
  • Growth: We are expanding rapidly into new markets, launching new services and creating a world-class company

What We Offer:

  • The chance to work in a fast-paced start-up environment with experienced industry leaders.
  • An environment where you can dive deep into the latest technologies and make a real, measurable impact
  • Competitive salary and stock options
  • Medical, dental, and vision
  • Unlimited vacation policy

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