Hybrid Data Analyst

at Ambyint

• Job title: Data Analyst
• Job type: Full Time
• Experience level: Mid level, Senior
• Salary: Not specified
• Degree requirement: Bachelor's Degree
• Tech skills: AWS, Azure, Cloud, Google Cloud Platform, Microservices, Python, SQL
• Location requirements: Hybrid, Calgary, Canada

About the role

• Data Analyst delivering high-impact data products using AI for a SaaS company focused on energy optimization. Collaborating with cross-functional teams to enhance data-driven decisions.

Responsibilities

• Work independently and collaboratively to deliver high-impact data products that directly contribute to the success of our artificial lift optimization platform
• Collaborate with data scientists and software engineers to wrangle, contextualize, and visualize data using various BI tools/Python and cloud-based technologies
• Troubleshoot and resolve data pipeline/integration issues by tracing root causes and collaborating with engineering and stakeholders.
• Take ownership and communicate clearly with cross functional teams, and ramp up quickly on new tools and domain context.
• Validate data quality, investigate anomalies, and help improve the accuracy and reliability of core datasets and metrics.
• Participate in a strong team environment, exploring new ideas through experimentation, prototyping, and rapid feedback cycles
• Embrace Agile methodologies such as SCRUM and Kanban to drive efficiency and ensure timely delivery of projects

Requirements

• Master’s or Bachelor’s degree in Data Science, Computer Science, Engineering, or a related field
• Strong Python skills for data analysis and wrangling, writing and maintaining scripts, and debugging/fixing issues in data workflows and tools
• Strong knowledge of relational data concepts and SQL
• Expertise in data analysis: exploratory analysis, summarizing insights, validating data quality, clear reporting
• Experience with cloud platforms (e.g., AWS, GCP, Azure) and cloud-based data analysis tools (beneficial)
• Experience with modern data platform tooling (beneficial): microservices-based systems, monitoring/observability tools, data quality/monitoring practices, and event driven or containerized environments
• Strong problem-solving skills, with an ability to translate complex data into actionable insights
• Troubleshooting mindset: ability to investigate issues across data pipelines, services, and integrations; trace root causes
• Excellent communication: can explain technical findings clearly to both technical and non-technical stakeholders
• Ownership and accountability: able to work independently, manage tasks end-to-end, and follow through
• Fast learner: able to ramp up quickly on new tools, systems, and domain context.

Benefits

• The opportunity to make a difference in a cutting-edge technology company that is highly spirited and focused on being a leading contributor in the energy transition space.
• We offer an environment steeped in creating a rewarding professional experience and having some fun along the way.
• We work in a hybrid working environment with a diverse and talented team.
• Passion for taking on big challenges to create a wealth of opportunities and we will support your development and career goals.
• Competitive compensation and benefits package.