Senior Analytics Engineer

closed
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6sense

πŸ’΅ $118k-$157k
πŸ“Remote - United States

Summary

Join 6sense as a Senior Analytics Engineer and contribute to the development and improvement of our data platform and analytics. You will collaborate with leadership to design analytics processes, manage cross-functional projects, and build tools and infrastructure. Responsibilities include exploring big data, building dashboards, conducting in-depth analysis, designing KPIs, creating presentations, and sharing insights. You will also build data transformation pipelines, resolve customer problems, and drive impactful analytical initiatives. This role requires a Bachelor’s degree in a technical field and 10+ years of experience in data analytics or engineering, along with expert-level SQL knowledge and experience leading cross-functional projects. The position offers a competitive salary, benefits, and opportunities for professional growth.

Requirements

  • Excellent attention to detail , ensuring accuracy in all data-related tasks
  • Customer-centric mindset , with a passion for delivering insights
  • Excellent communication skills , with the ability to convey technical concepts to non-technical stakeholders
  • Critical thinking and problem-solving , using data to drive decision-making
  • Proficiency in Python and/or R , along with SQL and BI tools
  • Bachelor’s degree in a technical or math-based discipline, or equivalent practical experience
  • Minimum of 10 years of experience in data analytics or engineering
  • Expert-level SQL knowledge , with proficiency in large-scale data manipulation and performance optimization
  • Experience leading cross-functional projects from ideation through execution
  • Developed experience with data architecture , pipelines, and ETL processes

Responsibilities

  • Collaborate with leadership to design state-of-the-art analytics processes for your team
  • Manage cross-functional projects, including defining success criteria, recruiting stakeholders across 6sense, and clarifying steps necessary for success
  • Conceptualize and build the tools and infrastructure behind our data platform and analytics
  • Explore and analyze big data from a variety of sources; first party, third party and product usage to name a few
  • Build and iterate on dashboards that inform stakeholders across product, engineering, sales and customer support teams
  • Conduct in-depth analysis that tell the story of how our products are being used and identify improvements
  • Design and instrument KPIs with product managers, product leaders, engineers and other data analysts
  • Create compelling presentations with actionable recommendations
  • Share your insights across the team and company, from your team members up to the executive staff
  • Build robust multi aggregation data transformation pipelines that process billions of records across thousands of customers
  • Ensure that these pipelines operate under a defined engineering framework
  • Resolve customer problems and identify solutions that proactively solve future problems
  • Drive impactful analytical initiatives within the assigned feature area or product teams, delivering insights that support product and business decisions
  • Maintain thorough documentation of analytical processes, insights, and methodologies, and contribute to improving operational processes for efficiency and transparency
  • Conceptualize and execute medium-term, high-value analytical projects , ensuring alignment with business objectives and cross-functional collaboration
  • Identify opportunities to enhance team efficiency and collaboration , ensuring smooth stakeholder communication and alignment on deliverables
  • Provide timely communication of insights and recommendations , on Pager Duty and stakeholder requests

Benefits

  • Generous health insurance coverage
  • Life, and disability insurance
  • A 401K employer matching program
  • Paid holidays
  • Self-care days
  • Paid time off (PTO)
  • Full-time employees can take advantage of health coverage, paid parental leave, generous paid time-off and holidays, quarterly self-care days off, and stock options
  • Access to our LinkedIn Learning platform
This job is filled or no longer available

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