Ambyint is a SaaS company that provides an Industrial IoT platform, leveraging physics-influenced AI models, plus closed-loop control to enable autonomous operations. As a result, we are an instrumental part of the climate technology evolution and a market leader in production optimization for the energy industry. We deliver step-change improvements to our customers by combining advanced physics, subject matter expertise, and data-informed insights with AI to automate operations and production optimization workflows. We’re coming off a strong year and are setting even higher ambitions for the future. To help us reach the next level, we’re looking for a Data Analyst to join our team.

As a Data Analyst at Ambyint, you will report to the Data Science Lead. In this role, you will be integral in the development and continuous improvement of our artificial lift optimization software. You’ll work closely with the Data Science, Engineering, Customer Success teams to wrangle, contextualize, and visualize data using scalable cloud-based technologies and business intelligence tools. Your expertise will help turn complex data into actionable insights and improve the product’s value proposition.

We’re looking for someone who thrives in a collaborative, fast-paced environment and is passionate about driving meaningful insights through data analysis. If you have experience in data visualization and cloud-based technologies, and you want to make a direct impact on a cutting-edge product, we’d love to meet you.

WHAT YOU'LL DO

• 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

QUALIFICATIONS

• 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

WHAT SETS YOU APART

• You’re efficient, organized, and committed to delivering high-quality results on time.
• You’re a strong problem solver who can translate ambiguity and complex data into actionable next steps.
• Collaboration is key to your success, and you thrive when working with diverse teams.
• You’re always learning and improving, constantly seeking better ways to approach data analysis.
• You enjoy experimenting with new ideas, prototypes, and concepts to drive innovation.
• You embrace feedback as an opportunity for growth, not a critique.
• You’re passionate about building user-friendly, impactful data solutions that add value to customers.

WHAT SETS US APART 

Ambyint is a scale-up company, possessing all the exciting edginess of a start-up with solutions that are proven and advancing daily. We pride ourselves on the strength of our team and company, and the positive environmental impact we are driving. We live by a simple and effective set of values. 

WHAT’S IN IT FOR YOU 

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. We have a passion for taking on big challenges to create a wealth of opportunities and we will support your development and career goals. Additionally, we offer a competitive compensation and benefits package. 

COMMITMENT TO DIVERSITY, EQUITY, & INCLUSION 

At Ambyint, diversity, equity, and inclusion are at the core of who we are. Our commitment to these values is unwavering – across all of our work, teams, and interactions with customers. They are central to our mission and to our impact. The understanding that having varied perspectives and backgrounds helps generate richer ideas to solve the complex problems of a changing, and increasingly diverse world is paramount to who we are and how we work together as a team. 

If you are a passionate professional that likes to work in a diverse team environment supporting an entrepreneurial culture with a focus on delivering exceptional value for our customers, we invite you to apply. This is your opportunity to join a growing company offering a competitive base salary and benefits.