Senior Analytics Engineer

Boosted; United States; Remote; USD 120,000 - 180,000; Full time

Benefits offered by this job

Flexible hours

Wellness benefits

Learning budget

Flexible vacation & sick days

Annual team retreat

Job summary

Boosted is seeking a Senior Analytics Engineer to design, build, and maintain robust data systems across domains. You will work on advanced data analysis, semantic layers, data models, and dashboards to enable self-service analytics for clients.

You will collaborate with data engineers, data scientists, and stakeholders to ensure data accuracy, while mentoring junior analysts and staying current with industry trends.

Qualifications

• Bachelor's degree in Data Science, Statistics, CS, or related field; master's preferred.
• Minimum 5 years of data analysis experience, ideally in consulting or professional services.
• Strong data modeling, ETL, and database design knowledge.
• Proficiency in SQL; Python or R is a plus.
• Experience with Tableau, Power BI, or Looker; strong communication skills.

Responsibilities

• Analyze data to support product and growth analytics.
• Develop semantic layers, data models, and self-service reporting.
• Design, build, and maintain dashboards and visualizations.
• Translate client needs into analytical requirements and insights.
• Collaborate with data engineers, data scientists, and stakeholders for data accuracy.
• Mentor junior analysts and promote continuous learning.
• Stay current with industry trends and best practices in analytics.

Skills

SQL

Data analysis

Python

R

Communication

Project management

Mentoring

Education

Bachelor's degree in Data Science/Statistics/CS

Master's degree (nice-to-have)

Tools

Tableau

Power BI

Looker

Job description

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.