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Senior Analytics Engineer

Posted a month ago
5-10 years experience
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AI Summary

The role involves designing and maintaining robust data systems, semantic layers, and dashboards to enable self-service analytics. The candidate will collaborate with stakeholders to translate business needs into actionable insights and mentor junior analysts.

About the role

What we're looking for We are seeking a highly skilled and experienced Senior Analytics Engineer to join our dynamic team. The successful candidate will work on a variety of projects across different domains, utilizing the latest technologies and methodologies to design, build, and maintain robust data systems. This role requires a deep understanding of dimensional data modelling principles, and a passion for solving complex data challenges.

Responsibilities

  • Conduct advanced data analysis and interpretation to support product and growth analytics.
  • Develop and implement semantic layers, data models, and reporting solutions to enable self-service analytics for clients.
  • Design, build, and maintain dashboards and data visualizations to communicate key insights and metrics.
  • Work closely with clients to understand their business needs, translate them into analytical requirements, and deliver actionable insights.
  • Collaborate with data engineers, data scientists, and other stakeholders to ensure data accuracy, consistency, and accessibility.
  • Mentor and guide junior analysts, fostering a culture of continuous learning and improvement within the team.
  • Stay updated with industry trends, emerging technologies, and best practices in data analytics and visualization.

Qualifications

  • Bachelor's degree in Data Science, Statistics, Computer Science, or a related field is a nice-to-have. A Master's degree is a plus.
  • Minimum of 5 years of experience in data analysis, preferably in a consulting or professional services environment.
  • Strong understanding of data modeling, ETL processes, and database design.
  • Strong proficiency in SQL for data analysis is a must-have. Proficiency in Python or R is a plus.
  • Experience with data visualization tools such as Tableau, Power BI, or Looker.
  • Excellent communication and presentation skills, with the ability to convey complex data concepts to non-technical stakeholders.
  • Demonstrated ability to manage multiple projects simultaneously and deliver high-quality results within tight deadlines.
  • Experience in the Crypto, Retail, or Health/Insurance industries is an advantage.

Benefits and Perks

  • Flexible hours: We are a fully remote company. Work on your schedule–pick up the kids, go to the dentist–you decide when you work. 
  • Compensation: We offer a competitive salary and health benefits package, including a Wellness spending account. 
  • Continuous learning: Access a dedicated learning budget to deepen your expertise.
  • Time off: It’s no secret we all have lives outside of work. Jet off to your favourite spot or just relax with flexible paid vacation days and sick days.
  • Annual team retreat: Once a year, we meet in person to collaborate, reconnect, and reset.


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