Associate Analytics Engineer (Hybrid / Tijuana)
MX - Mexico
Insulet Corporation
Insulet started in 2000 with an idea and a mission to enable our customers to enjoy simplicity, freedom and healthier lives through the use of our Omnipod® product platform. In the last two decades we have improved the lives of hundreds of thousands of patients by using innovative technology that is wearable, waterproof, and lifestyle accommodating.
We are looking for highly motivated, performance driven individuals to be a part of our expanding team. We do this by hiring amazing people guided by shared values who exceed customer expectations. Our continued success depends on it!
Position Overview
Insulet Corporation, maker of the OmniPod, is the leader in tubeless insulin pumps. The Associate Analytics Engineer role is responsible for supporting the research and development of global analytics and data initiatives in alignment with Insulet's data analytics strategy. Working under the guidance of senior analytics technical leaders, you will assist in developing tools and processes to transform data into actionable insights in collaboration with subject matter experts from cross-functional teams. Utilizing data cleaning best practices, aggregation, and joining large datasets, you will leverage cloud technologies to support analytics reporting for a comprehensive view of product to patient. This role offers an opportunity to gain knowledge of various aspects of business operations and collaborate with Data Scientists, AI/ML Engineers, and Data Engineers in the Analytics Center of Excellence (COE) to support cross-functional efforts across R&D, clinical, medical affairs, quality, and global manufacturing. We are a fast-growing company that provides an energetic work environment and significant career growth opportunities.
Responsibilities
- 6 months to 1 year of experience required.
- Collaborate with cross-functional teams to assist in building and communicating key insights, working closely with product managers, engineers, designers, and researchers.
- Support the gathering and interpretation of requirements, demonstrating strong analytical skills to ensure a comprehensive understanding of business needs and alignment with Insulet's organizational objectives.
- Engage with cross-functional teams to assist in developing and streamlining data pipelines, contributing to the acquisition and optimal integration of various data sources.
- Communicate analytical findings and their strategic implications to a diverse audience, helping to establish a clear connection between data results and business goals.
- Assist in the creation and maintenance of Power BI dashboards that effectively convey complex data insights, ensuring clarity and usability for stakeholders.
Technical Requirements:
- Education:
- Bachelor's degree in Computer Science, Engineering, Mathematics, Statistics, or related fields is required.
- A master's degree is highly preferred.
- Programming Knowledge:
- SQL for database management and analysis.
- Python or R for data processing and analysis.
- Visualization Tools:
- Familiarity with tools such as Tableau, Power BI, or similar.
- Statistics and Probability Knowledge:
- Deep understanding of statistical and probability concepts and their application in data analysis.
Soft Skills:
- Willingness to Learn:
- Proactive attitude towards continuous learning and skill improvement.
- Problem-Solving:
- Ability to effectively address and resolve problems.
- Communication:
- Strong communication skills in both Spanish and English (intermediate-advanced).
- Teamwork:
- Ability to collaborate in a multicultural and global environment.
Recommended Areas of Courses
Candidates who have completed coursework in the following areas will be given greater consideration:
Data Analysis:
- Courses covering data analysis and visualization techniques.
Statistics and Probability:
- Training in statistics and probability applied to data analysis.
SQL and Databases:
- Training in database management and querying using SQL.
Data Visualization:
- Courses on tools and techniques for data visualization.
Project Management:
- Training in project management methodologies, especially in agile environments.
Communication Skills:
- Courses that develop effective communication skills, both written and verbal.
NOTE: This position is eligible for hybrid working arrangements and requires on-site work from an Insulet office at least three (3) days per week. #LI-Hybrid
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile Computer Science Data analysis Data Analytics Data pipelines Data visualization Engineering Machine Learning Mathematics Pipelines Power BI Python R R&D Research SQL Statistics Tableau
Perks/benefits: Career development
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