Joining Cnexia is choosing to be part of an ambitious project that values Innovation, promotes Continuous Learning and enables all tech champions to fulfill their creative dreams.

At Cnexia, we do more than support the clients of our world-class network and services. We develop innovative solutions and create original multiplatform media content. In fact, we’re revolutionizing how Canadians communicate on the web, interact with Mobile Apps or benefit from an AI-enhanced experience.

Proud of our status as a fully owned Moroccan subsidiary of the largest Canadian Telecom company, we have been ceaselessly growing our team since 2021. With over 4000 employees, mainly based in Fez and Rabat. we have expanded with our Brand-new state of the art site in Casablanca.

If you are ready for this challenge, we invite you to join a community that values bold ideas and professional growth all in an engaging multi-cultural world-class environment.

Overview

The BI Data Analyst is responsible for gathering, analyzing, and transforming complex datasets into actionable insights that support data-driven decision-making across the organization. This role partners closely with stakeholders to deliver high-quality analytics, automate reporting processes, and contribute to the development of scalable data solutions, also Credit Risk, Finance, Compliance, and Technology teams to deliver accurate, auditable, and scalable credit risk insights.

Key Responsibilities

• Gather, analyze, and validate data from multiple structured and unstructured sources.

• Design, build, and maintain dashboards, reports, and visualizations to communicate insights effectively.

• Identify trends, patterns, and anomalies in data to support business objectives.

• Collaborate with stakeholders to understand requirements and communicate findings clearly.

• Support the development and implementation of data-driven strategies and analytics solutions.

• Automate data processing, reporting, and output generation to improve efficiency and reliability.

• Transform, consolidate, and manage large, complex datasets from diverse sources.

• Develop and implement analytics enhancements for upstream and downstream data projects.

• Assess the impact of data source changes and design mitigation strategies to ensure data accuracy and reliability.

• Analyze data architecture and contribute to improvements in data gathering and integration processes.

• Apply systematic problem-solving techniques to investigate and resolve data issues.

Critical Qualifications

• Bachelor’s or Master’s degree in Computer Science, Data Science, Mathematics, Economics, or a related field.

• Minimum of 3+ years of relevant work experience in data analytics, business intelligence, or a related discipline.

• Intermediate proficiency in statistics and data analysis concepts.

• Hands-on experience with SQL, SAS, and Python for data manipulation and analysis.

• Strong data analytics literacy with the ability to interpret and explain insights to non-technical audiences.

• Experience building and visualizing reports using data visualization tools such as Tableau, Google BigQuery, or MicroStrategy.

• Experience working within Agile frameworks.

• Strong presentation and communication skills.

Preferred Qualifications

• Experience working with large-scale, complex datasets across multiple business domains.

• Demonstrated ability to automate analytics workflows and improve reporting efficiency.

• Strong understanding of data governance, data quality, and reliability best practices.

• Proven ability to work independently, manage priorities, and meet deadlines.

• Experience mentoring junior team members or contributing to knowledge-sharing initiatives.

• Curiosity and willingness to continuously expand technical and business knowledge beyond core responsibilities.

• Ability to identify opportunities for innovation and propose new analytical approaches or solutions.

Leadership Behaviors & Competencies

• Proactively identifies critical needs and takes appropriate action with confidence.

• Actively explores new ideas and innovative approaches; embraces continuous learning.

• Demonstrates strong customer focus by identifying both explicit and implicit business needs.

• Applies structured and repeatable problem-solving methods consistently.

• Takes accountability for mistakes and uses them as learning opportunities.

• Seeks additional responsibilities to broaden skills and impact.

• Mentors junior team members and fosters a collaborative, knowledge-sharing culture.