Analytics Engineer III

Summary

Join 6sense as an Analytics Engineer III and contribute to the development of customer, product, and usage data. You will be responsible for the ideation, execution, and management of analytics projects, working with cross-functional teams to develop insights and data assets that support product and business decisions. This role requires expertise in SQL, experience with BI tools, and a minimum of 5 years of data analytics or engineering experience. You will execute complex analyses, build dashboards, collaborate on KPI design, conduct deep-dive analyses, lead cross-functional projects, and create presentations. 6sense offers a competitive salary, benefits including health insurance, life and disability insurance, 401k matching, paid time off, and paid parental leave, as well as professional development opportunities and wellness programs.

Requirements

• Attention to detail , ensuring data accuracy and precision in analyses
• Ability to prioritize tasks in a fast-paced environment
• Excellent communication skills , with the ability to explain technical concepts clearly
• Strong problem-solving and critical thinking skills , using data to support decisions
• Developing knowledge of Python and/or R , complementing SQL skills
• Bachelor’s degree in a technical or math-based discipline or equivalent practical experience
• Minimum of 5 years of data analytics or engineering experience (3 years with a master’s degree)
• Expert-level knowledge of SQL with experience in data manipulation and query optimization
• Proficiency with BI tools such as Tableau, Power BI, or Looker
• Experience managing cross-functional analytics projects , from ideation through execution

Responsibilities

• Execute complex analyses using large datasets from various sources, such as customer and product usage data
• Independently build and own dashboards , providing stakeholders with actionable insights across product, engineering, sales, and customer support teams
• Collaborate with teams to design and track KPIs that align with business goals
• Conduct deep-dive analyses , identifying opportunities for product and business improvements
• Lead cross-functional projects , defining success criteria and aligning stakeholders
• Create presentations that translate data insights into actionable recommendations for leadership
• Ensure timely and accurate reporting to support product decisions and resolve customer issues
• Execution and delivery of complex analytics projects , meeting timelines and quality standards
• Maintain documentation of methodologies and improve operational processes
• Provide timely communication , adhering to SLAs for data requests and delivering updates to stakeholders

Preferred Qualifications

• Some hands-on experience with data pipelines and/or ETL processes is an added benefit
• Experience with large scale data warehouses

Benefits

• Health insurance
• Life, and disability insurance
• A 401K employer matching program
• Paid holidays
• Self-care days
• Paid time off (PTO)
• Paid parental leave
• Stock options