Job Description

Grade: P6

Division: IGM - Marketing

IGM Financial Inc. is one of Canada\'s leading diversified wealth and asset management companies with approximately $271 billion in total assets under managements. The company provides a broad range of financial planning and investment management services to help more than two million Canadians meet their financial goals. Its activities are carried out principally through IG Wealth Management and Mackenzie Investments

Under IGM Financial\xe2\x80\x99s unique business model based on leading brands and multi-channel distribution strategy is Mackenzie Investments, founded in 1967. Mackenzie Investments is a holistic asset-management partner for thousands of Canadian financial advisors and the investors they support.

At Mackenzie Investments You Can Build Your Career with Confidence.

We have a vision and a strategy that will challenge the way business in this industry is done and help Canadians be successful in the ways that mean the most to them. As part of our team, you will do some of your best work, develop some of your most valuable skills and give back in ways that make a difference in the lives of Canadians. We are proud to be recognized as one of Canada\xe2\x80\x99s Top Employers by Mediacorp Canada Inc. for empowering our employees with the tools to thrive while working remotely, while also providing resources to ensure physical and mental wellness were put front and centre.

Join an unstoppable team that is embedded in continuous learning, understanding, and knowledge sharing. You will thrive in our supportive environment where you can indulge your curiosity to learn, while receiving the feedback you need to refine your skills and abilities. We are dedicated to offering a hybrid work environment when applicable.

Mackenzie Investments is a diverse workplace committed to doing business inclusively - this starts with having a representative workforce! We encourage applications from all qualified candidates that represent the diversity present across Canada \xe2\x80\x93 including racialized persons, women, Indigenous persons, persons with disabilities, 2SLGBTQIA+ community, gender diverse and neurodiverse individuals, as well as all who may contribute to the further diversification of ideas.

Position Summary:

The Analyst, Data Science & Marketing Analytics is responsible for delivering practical business insights through data storytelling and the thoughtful application of marketing analytics, data science, machine learning, statistics, and other advanced analytics approaches. They will collaborate with marketing and other business domain experts, data, and analytics teams on various research, reporting and analytics projects that support operational and critical initiatives.

Responsibilities Include:

• Collaborate with internal stakeholders to design and develop accurate and relevant datasets, automated key performance metrics reporting and business intelligence visualisations that enable timely decision making
• Create value and business impact through better data availability and quality
• Manipulate and prepare data from multiple sources, including (structured and unstructured data) for machine learning
• Discover, analyse, and interpret trends or patterns in complex datasets
• Organize and communicate findings by translating into useful insights
• Leverage knowledge of Data Science, Statistics, Causal AI, Program Evaluation and Performance Measurement to make thoughtful modelling decisions, that employ the required combination of statistical analysis, causal inference, attribution modelling, structural modelling and optimization to solve core business problems
• Measure the causal impact of treatments and interventions by implementing statistically-sound experiments to evaluate performance and return on investment across a variety of initiatives
• Measure the impact of marketing and advertising campaigns to optimize investments across a wide range of media channels
• Expertise includes both supervised and unsupervised approaches and leveraging cloud infrastructure.
• Analyze the effectiveness of models and propose recommendations for improvements where applicable and implement best-in-class analytical practices in ways of working
• Work closely with relevant teams to make sure models/solutions can be deployed
• Develop, test, implement, document, and continuously improve data sets and models

Qualifications:

• Bachelor\xe2\x80\x99s degree in Analytics, Statistics, Mathematics, Computer Science or other relevant STEM field with minimum 6 months in a Data Science, Advanced Analytics/Predictive Analytics or Data Engineering co-op or permanent job working within a business function; or Master\xe2\x80\x99s degree/Post Graduate studies in a quantitative field such as Analytics, Math, Statistics, Economics, Evaluation, Causal AI, Computer Science, Machine Learning, etc.
• Highly effective communication skills, both written and verbal
• Ability to frame and communicate analytical results to partners at various levels
• Strong programming skills with experience using Python for Machine Learning and SQL
• Experience with Tableau, and/or other BI and reporting tools
• Proficient with Big Data, working with relational databases (e.g. SAP Hana, Netezza, ORACLE, SQL Server), and distributed file systems (e.g. Hadoop)
• Ability to synthesize data into concise and logical summaries, reports, presentations, dashboards
• Excellent teamwork and relationship building skills
• Strong organizational and analytical skills
• Proven problem-solving skills
• Excel at critical thinking \xe2\x80\x93 conceptualizing, analyzing, synthesizing, and evaluating

Nice to haves:

• Experience with Spark, HQL, MapReduce, Hive, Hbase, noSQL related Big Data technologies
• Familiarity with software development tools and practices (Git, code review, etc.)
• Exposure to cloud technologies (e.g. AWS, Azure, Google Cloud)
• Experience working in an Agile project management framework
• Experience doing marketing analytics including commercial analytics and marketing mix modelling,

Please visit our career page by clicking on the following link:

We thank all applicants for their interest in Mackenzie Investments; however only those candidates selected for an interview will be contacted.

Mackenzie Investments is an accessible employer committed to providing a barrier free recruitment experience. If you require an accommodation or this information in an alternate format at any stage of the recruitment process, please reach out to the Talent Acquisition team who will work with you to meet your needs.

Please apply by July 5, 2023.

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Mackenzie Investments