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- Employment type
- Full-time
- Experience level
- Senior · 5+ years
- Minimum education
- Bachelor’s degree
- Posting language
- English
Job 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.
Job details
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.
What you’ll do
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.
Requirements
Requires at least 5 years of experience in data analysis, with strong proficiency in SQL and data modeling. A degree in Data Science, Statistics, or Computer Science is preferred, along with experience in visualization tools.
Benefits
- Flexible hours
- Health benefits package
- Wellness spending account
- Learning budget
- Paid vacation days
- Sick days
- Annual team retreat
Listed skills
- SQL · Preferred
- Python · Preferred
- Tableau · Preferred
- Power BI · Preferred
- Data visualization · Preferred
- Data analysis · Preferred
Other relevant skills
Identified from the job description. Confirm important requirements above.
- Dimensional Data Modelling
- SQL
- Python
- R
- Tableau
- Power BI
- Looker
- ETL Processes
- Database Design
- Data Visualization
- Data Analysis
- Semantic Layer Development
- Continuous Development
- Reporting Solutions
- Emerging Technologies
- Microsoft Access
- Dashboard
- Communication
- Computer Science
- Consulting
- Extract Transform Load (ETL)
- Data Modeling
- Data Warehousing
- R (Programming Language)
- Python (Programming Language)
- Presentations
- Self Service Technologies
- SQL (Programming Language)
- Statistics
- Tableau (Business Intelligence Software)
- Data Science
- Looker Analytics
Job areas
- Data & Analytics
- Technology
- Consulting
- Engineering
- Software
- Analytics Engineer
- Data Scientist
- Systems Analysts
- Data Scientists