Staff Analytics Engineer

Who We Are

Welcome to TELUS Digital — where innovation drives impact at a global scale. As an award-winning digital product consultancy and the digital division of TELUS, one of Canada’s largest telecommunications providers, we design and deliver transformative customer experiences through cutting-edge technology, agile thinking, and a people-first culture.

With a global team across North America, South America, Central America, Europe, and APAC, we offer end-to-end expertise across eight core service areas: Digital Product Consulting, Digital Marketing Services, Data & AI, Strategy Consulting, Business Operations Modernization, Enterprise Applications, Cloud Engineering, and QA & Test Engineering.

From mobile apps and websites to voice UI, chatbots, AI, customer service, and in-store solutions, TELUS Digital enables seamless, trusted, and digitally powered experiences that meet customers wherever they are — all backed by the secure infrastructure and scale of our multi-billion-dollar parent company.

Location and Flexibility

This role can be fully remote for candidates based in s in Brazil. If you are based in São Paulo or Porto Alegre, you are welcome to work from one of our offices on a flexible schedule.

The Opportunity

As a Staff Analytics Engineer part of our growing Data & AI team, you will work closely with customers to turn data into critical information and knowledge that can be used to make sound business decisions. You will collaborate with cross-functional teams, including Data Scientists, Software Engineers, and other technical stakeholders, to ensure data quality and support data-driven decision-making.

Responsibilities 

• Design and implement scalable and automated processes for data collection, validation, reporting, and analysis using Python and SQL.

• Develop, test, and document complex SQL queries, stored procedures, and robust ETL/ELT processes to support Business Intelligence and advanced analytics initiatives.

• Extrair, transform and analyze data from multiple sources, consistently ensuring data integrity and high quality.

• Build and maintain interactive dashboards and reports in Power BI, ensuring efficiency, scalability, and significant business impact.

• Collaborate effectively with cross-functional teams and influence data-driven decision-making throughout the organization.

• Define and document clear reporting requirements, data governance processes, and validation methodologies.

• Provide strategic recommendations based on deep data analysis, proactively identifying trends and business opportunities.

• Offer technical support and troubleshooting for existing Power BI reports and other BI tools, continuously identifying areas for improvement.

• Mentor and provide technical guidance to junior analysts, fostering best practices in data visualization, SQL, and Python optimization, and analytical problem-solving

Qualifications

• 5+ years of experience working with data analytics, Business Intelligence, or data engineering roles.

• Advanced SQL skills, including extensive experience with query optimization, stored procedures, and performance tuning for large datasets.

• Proven expertise in Python for data manipulation, analysis, and process automation (e.g., Pandas, SQLAlchemy).

• Strong hands-on experience with Power BI, including advanced dashboard creation, data modeling, and interactive visualizations.

• Must have strong knowledge and practical experience with Microsoft Azure services for data (e.g., Azure Data Lake, Azure Synapse Analytics, Azure Data Factory). Experience with GCP is a plus.

• Solid understanding of data warehousing concepts, dimensional modeling, and ETL/ELT best practices.

• Experience mentoring and supporting junior team members, fostering a culture of continuous learning and development.

• Strong experience in data storytelling, effectively presenting complex insights to both technical and non-technical stakeholders.

• Demonstrated ability to collaborate effectively with executives, engineers, and business teams to translate data insights into actionable strategies.

• Advanced English (written and spoken).