OVERVIEW

We are seeking a skilled Business Intelligence Developer to join our dynamic team. In this role, you will be responsible for transforming data into actionable insights that drive business decisions. You will leverage your expertise in data analytics, machine learning, and database design to develop innovative solutions that enhance our business intelligence capabilities. The ideal candidate is passionate about data and has a strong background in analytics and big data technologies.

QUALIFICATIONS

• Proven experience as a Business Intelligence Developer or similar role.
• Strong proficiency in SQL and database design.
• Familiarity with big data technologies such as Hadoop, Spark, and TensorFlow.
• Experience with machine learning techniques and natural language processing is a plus.
• Solid understanding of analytics concepts and data mining methodologies.
• Excellent problem-solving skills with the ability to work independently or as part of a team.
• Strong communication skills to effectively convey complex information to non-technical stakeholders.
• A degree in Computer Science, Data Science, Information Technology, or a related field is preferred.
  Join us in leveraging the power of data to drive impactful business decisions!
  Job Types: Full-time, Fixed term contract
  Contract length: 12 months
  Pay: $120,000.00-$130,000.00 per year

Flexible language requirement:

• French not required

Schedule:

• 8 hour shift
• Monday to Friday

Experience:

• Machine learning: 1 year (preferred)

Work Location: In perso

• Design, develop, and maintain business intelligence solutions that support strategic decision-making.
• Utilize SQL and database design principles to create efficient data models and queries.
• Implement machine learning algorithms and natural language processing techniques to extract insights from large datasets.
• Collaborate with cross-functional teams to gather requirements and deliver analytical solutions that meet business needs.
• Conduct data mining activities to identify trends, patterns, and anomalies within complex datasets.
• Work with big data technologies such as Hadoop and Spark to process and analyze large volumes of data.
• Develop dashboards and reports that visualize key performance indicators (KPIs) for stakeholders.
• Stay updated on industry trends and emerging technologies in analytics and business intelligence.