Data Analyst and Reporting Specialist

About the Role

Key Responsibilities

• Use advanced analytical algorithms and technologies (e.g., machine learning, deep learning, AI) to mine and analyze large structured and unstructured data sets to obtain insights.
• Design and construct new processes for modeling data and develop predictive models.
• Leverage big data technology to create solutions that support smarter business decisions, improve customer experience, and drive productivity.
• Collaborate with data and analytics professionals and teams to optimize, refine, and scale analysis into mature analytics solutions.
• Play an active role in advancing innovative data strategies to understand consumer trends and address business problems.
• Conduct large-scale analysis of information to discover patterns and trends by combining different modules and algorithms.
• Use data analysis to provide recommendations and advice for business leaders to maintain market competitiveness.
• Develop prediction systems and machine learning algorithms, and investigate additional technologies and tools for developing innovative data solutions.
• Work with the product team and partners to understand and support data-driven decision making, business planning, and future roadmaps.
• Exercise judgment to identify, diagnose, and solve problems within given rules.
• Work independently on complex tasks, including unique situations.

Requirements

• Deep learning and machine learning proficiency.
• Understanding of trust, bias, and ethics in data analysis.
• Creative and critical thinking skills.
• Proficiency in mathematics, statistics, and operations research.
• Experience with big data, data visualization, and data wrangling.
• Skills in computational thinking and programming.
• Ability to preprocess and analyze complex data sets.
• Strong analytical and problem-solving skills.
• Effective verbal and written communication skills.
• Collaboration and team skills.
• Influence skills and data-driven decision-making ability.
• Typically 4-6 years of relevant experience and a post-secondary degree in a related field or equivalent education and experience.
• Technical proficiency gained through education and/or business experience.

Nice to Have

• Experience with developing and deploying predictive models and machine learning algorithms.
• Familiarity with advanced data technologies and tools for innovative data solutions.

Qualifications

• Post-secondary degree in a related field or an equivalent combination of education and experience.

Benefits & Perks

• Health insurance
• Tuition reimbursement
• Accident and life insurance
• Retirement savings plans
• Performance-based incentives and discretionary bonuses
• Other perks and rewards
• Visit https://jobs.bmo.com/global/en/Total-Rewards for more details