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Data Systems Analyst At Mackenzie Investments

Location: Toronto, Ontario

Job Description

Job Description

Mackenzie Investments was founded in 1967 and is a leading investment management firm providing investment advisory and related services to retail and institutional clients. The company has $60 billion in assets under management, and as part of IGM (a subsidiary of the Power Financial Group of Companies), is the largest independent asset manager in Canada, with $140 billion. We are committed to the financial success of investors, through their eyes.

Our Vision
Everything we do starts with the needs of investors, whether they are saving for a child’s postsecondary education, setting money aside for the future needs of a family member with a disability, or funding their own retirement. In fact, our focus is summed up in our Vision statement: We are committed to the financial success of investors, through their eyes.

Our Values
Our growth and success are the direct result of our employees, and we strive to create a workplace supported by the following core values: Creativity and Innovation, Strong Decision Making, Collaboration, Courage, Honesty and Integrity, Confidence and Pride.

At Mackenzie Investments you can Build Your Career with Confidence by:
Changing the Game: 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.
Making a Smarter World: We believe in continuous learning, understanding what is most important and sharing the benefits of that knowledge.
Being Proud: As a 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.
Joining an Unstoppable Team: We build teams that look out for each other, ask the best of each other and deliver the finest work.
Learning and Growing: We offer an environment where you can indulge your curiosity to learn; getting the challenges and feedback you need to refine your skills and abilities.
Thriving in a Supportive Environment: We have created a workplace where your efforts and career are supported by your team and your leader.

The Corporate Solutions Technology department within Mackenzie Investments is accepting applications for the position of Data Systems Analyst. Reporting to the Manager, Systems Analysts & Architecture the successful candidate will be part of a small/agile team working with the Investment Management Division.
The Data Systems Analyst maintains a “business perspective” through all phases of the project and works with the entire IS project team to assist in the planning, designing and launching of new solutions in support of our growing business needs.

What we are looking for:
  • 2+ years of experience working with business principles and different types of business data.
  • Post-secondary degree/diploma in a related discipline (Mathematics, Economics, Computer Science, or Information Systems Management).
  • Technical expertiseregarding data models, database design development, data analysis and reporting tools.
  • Knowledge of and experience with reporting/ business intelligence software (Tableau), databases (SQL, MongoDB), programming (Python, SQL).
  • Analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
  • Adept at queries, report writing and presenting findings.
  • Understanding of IS Methodologies, processes and practices.
  • Strong communication and interpersonal skills with a demonstrated ability to work effectively in a team environment.
  • Planning and organizational skills with the ability to adapt to change and perform effectively under pressure.
Primary responsibilities will include but not limited to:
  • Liaise with business stakeholders to understand business objectives to design the solution that will meet their needs.
  • Elicit requirements from business stakeholders through interviews, workshops, business scenarios, and user stories.
  • Analyze system data requirements and model the data design to deliver to business requirements.
  • Design data acquisition and storage techniques for data from primary or secondary sources.
  • Query and review large data stores to understand the transactional information and business rules that govern the data. Identify outlying data patterns and data cleanliness issues for resolution.
  • Investigate and respond to data issues raised by business stakeholders.
  • Document the system specifications for the software development team.
  • Ensure the quality of the solution by testing the development results meet the business requirements.
Internal Applicants:
If you are interested in applying for this position please direct applications on-line using the “apply for this job” icon located at the bottom or to the left of the posting. If you would like to refer someone for the position please email the posting using the “email this job” option and have your referral indicate that they were referred by you when completing the application. All resumes should be received by March 27, 2019. If you have any questions regarding this position, please contact Human Resources. Please record your extension number on your resume and cover letter. The job grade for this position is 9. The referral bonus for this position is 2.

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

Mackenzie Investments offers an exciting and challenging work environment, a competitive base salary, performance-based bonuses, excellent benefits, recognition for your accomplishments, and opportunities for personal and professional growth.

Mackenzie Investments is an equal opportunity employer and is committed to providing employment accommodations in accordance with the Ontario Human Rights Code and the Accessibility of Ontarians with Disabilities Act. Please advise Human Resources if you require an accommodation.

File #19-44