- Company Name
- Amaris Consulting
- Job Title
- Data, AI Engineer & Business Analyst F/M/X
- Job Description
-
Job Title: Data, AI Engineer & Business Analyst F/M/X
Role Summary:
Data & AI Engineer / Business Analyst develops and deploys data, analytics, and AI solutions that support business objectives. Works cross-functionally to build data pipelines, machine learning models, dashboards, and translate business needs into technical specifications, ensuring data quality, performance, and security.
Expactations:
- 2‑5 years of professional experience in Data, Analytics, AI, or related role.
- Master’s degree in Computer Science, Data, Engineering, Information Systems, or equivalent.
- Strong analytical, problem‑solving, and critical‑thinking skills.
- Excellent written and verbal communication, able to explain technical concepts to non‑technical stakeholders.
- Fluent in English and French.
- Autonomous, rigorous, proactive mindset in a multicultural environment.
Key Responsibilities:
- Design, develop, and deploy data, analytics, and AI solutions aligned with business objectives.
- Build, optimize, and maintain data pipelines, ETL/ELT processes, and data platforms.
- Develop and deploy machine learning models; monitor performance and manage lifecycle.
- Design interactive dashboards, reports, and KPIs to support decision‑making.
- Analyze business needs; translate them into functional and technical specifications.
- Collaborate closely with cross‑functional teams (business, IT, data, product).
- Ensure data quality, reliability, performance, and security across systems.
Required Skills:
- SQL and Python programming.
- Business Intelligence & Data Visualization (Power BI, Tableau, Looker).
- Data Engineering (ETL/ELT, Airflow, Spark, Kafka, DBT).
- AI/ML frameworks (TensorFlow, PyTorch, scikit‑learn, NLP, GenAI).
- Cloud platforms (AWS, Azure, or GCP).
- Strong analytical, problem‑solving, and critical‑thinking abilities.
- Excellent communication and stakeholder‑management skills.
- Bilingual: English & French.
Required Education & Certifications:
- Master’s degree in Computer Science, Data, Engineering, Information Systems, or related field.
- Relevant certifications in cloud (AWS, Azure, GCP) or data/ML tools are advantageous.