Analytics Engineering Lead, Data Innovation

Hiscox

Atlanta (GA)

Hybrid

USD 120,000 - 165,000

Full time

14 days+

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Benefits offered by this job

Competitive salary
401(k) with company match
Health insurance
Hybrid work schedule
Paid time off

Job summary

Hiscox USA is seeking a Lead Analytics Engineer in a hybrid role across Atlanta, Boston, Chicago, Hartford, or Manhattan. You will lead data engineering practices, translate business needs into data solutions, and drive innovation through labs and Learning Hub content.

Ideal candidates have 8+ years in data management, solution architecture, and data governance; strong SQL, Python, and Power BI skills; and experience in Agile environments with a passion for continuous learning and data-driven

Qualifications

  • Bachelor's degree in Computer Science, Information Systems, or related field.
  • 8+ years of progressive experience in data management, analytics, solution architecture, cloud platforms, data warehousing/lakehouse concepts, data modeling, and/or data engineering.
  • Demonstrated leadership in strategic data initiatives, innovation environments, and cross-functional project management.

Responsibilities

  • Guide access to and analysis of data for cross-functional teams.
  • Own and measure effective use of analytics and intelligence data by team members and stakeholders.
  • Establish and manage innovation labs to pilot new data products and methodologies.
  • Design and implement training plans for cross-skilling and up-skilling of data teams.
  • Coach and mentor senior and junior data professionals and engineering teammates.
  • Collaborate with stakeholders to translate business requirements into technical data solutions.

Skills

Leadership
Strategic thinking
Communication
Agile methodologies
Mentoring

Education

Bachelor's degree in Computer Science or related field

Tools

Power BI
SQL
DBT
Python

Job description

Hiscox USA is seeking a Lead Analytics Engineer in a hybrid role across Atlanta, Boston, Chicago, Hartford, or Manhattan. You will lead data engineering practices, translate business needs into data solutions, and drive innovation through labs and Learning Hub content.

Ideal candidates have 8+ years in data management, solution architecture, and data governance; strong SQL, Python, and Power BI skills; and experience in Agile environments with a passion for continuous learning and data-driven

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