Senior Data Analyst

Key Skills

Python Programming, SQL, PowerBI, Machine learning techniques, Data science techniques, Data Analytics, Algorithms, SAS

Job Description

Are you ready to take your career to new heights in a dynamic and rapidly evolving environment?

We are seeking a passionate and experienced Senior Data Analyst to join our North America Data Analytics team. In this pivotal role, you will play a crucial role in transforming data into actionable insights. You will work closely with cross-functional teams to analyze complex datasets, generate meaningful insights, and support data-driven decision-making processes. This role requires a blend of technical skills, analytical thinking, and strong communication abilities.

The Key Responsibilities:

• Implement data analytics strategies, including the integration of Microsoft Power BI, Power Automate, SharePoint, and Forms, to streamline business processes and internal controls while supporting compliance objectives.
• Collaborate with various departments to increase the use of data analytic tools, reducing manual processes and enhancing the reliability of decision-making and compliance activities.
• Collect, process, and analyze data using programming languages such as SQL, SAS, and Python.
• Create clear and informative data visualizations using Power BI.
• Develop advanced models for data manipulation, analysis, and visualization.
• Conduct data cleaning and preprocessing to ensure data accuracy and integrity.
• Translate complex data findings into a compelling narrative for non-technical stakeholders.
• Present insights and recommendations to management and other stakeholders.
• Collaborate with other analysts and business professionals to support data-driven decision-making.
• Stay updated with the latest trends and tools in data analytics.

Your Experience and Skills:

• Proven experience of 7+ years as a Data Analyst.
• Strong experience with data visualization tool Power BI.
• Strong experience with Microsoft Power Automate, SharePoint and Forms.
• Proficiency in programming languages such as SQL, Python, and SAS.
• Strong understanding of statistical methods and their applications.
• Advanced skills in Microsoft Excel.
• Knowledge of database systems and experience with querying and managing databases.
• Strong critical thinking, problem-solving, and attention to detail.
• Excellent data storytelling and presentation skills.
• Ability to work well in teams and collaborate with cross-functional departments.
• Strong time management and adaptability skills.
• A natural curiosity and eagerness to learn and stay updated with industry trends.
• For candidates located in Quebec, bilingualism is required considering the necessity to interact on a regular basis with English-speaking colleagues across the country.
• No Canadian work experience required but must have authorization to work in Canada.

Preferred Qualifications:

• Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, Mathematics, Economics, or a related field.
• Experience in the insurance or banking industry
• Basic understanding of machine learning algorithms and frameworks.

Why Join Us?

• Innovative Environment: Be part of a forward-thinking team that values creativity and innovation.
• Impactful Work: Play a crucial role in ensuring the company’s regulatory compliance, efficient risk management and strong internal control environment through advanced data analysis and clear reporting.
• Career Growth: Access opportunities for professional development and career advancement.
• Collaborative Culture: Work in a supportive and collaborative environment that encourages teamwork and continuous improvement.
• Global Exposure: Gain valuable experience working with an international team and contribute to global projects.

Make a Difference with Us! If you are passionate about Data Analytics and ready to take on a challenging and rewarding role, we want to hear from you. Apply now and embark on an exciting career journey with us, where integrity, respect, a customer-driven mindset, and a commitment to excellence and generosity guide everything we do.