Degree in Business Intelligence
AWS, Azure, Data Analytics, Data Architecture, Data Engineering, Data Modeling, ETL frameworks, Machine learning techniques, PowerBI, Python Programming, R Programming, SAS, SQL
Responsibilities:
Power Business Intelligence (BI) experience and a good understanding of BI architecture. Use best practice standards and methods in data modelling, data architecture, data platforms and agile delivery
Work independently as a senior lead and direct activities related to analysis, design and support of technical data management solutions on various projects ranging in complexity and size
Utilizes an advanced understanding of multiple data structures and sources to lead the design, development and implementation of decision solutions, which may include data visualization, business intelligence, or data collection
Leverage data to provide meaningful insights to business leaders and use BI tools to support operational processes by delivering data visualization reports and dashboards
Use statistical and machine learning techniques to build and maintain effective and efficient transaction monitoring, user behavior, and risk scoring models
Develops innovative approaches to address complex business problems and solutions, assisting with business cases
Work with business leadership to define business intelligence requirements, Key performance indicators (KPI), priorities and data solutions
Expert knowledge of Python, SAS, SQL and R are essential
Extensive work experience building predictive models with machine learning methods
Ability to apply statistical techniques and data mining tools to solve business problem
Significant experience building UI mockups and optimizing dashboard for user experience
Intermediate to advanced understanding of MDX/DAX language for improving visuals and formatting numbers, dates, and text.
Experience with row level security and custom visuals,Power Query, Power Apps and keeping up to date on the new features of Power BI
Hands-on experience of SQL and Python for data access and basic transformation
Experience in various forms of data modeling of relational schema, including both physical and conceptual modeling
Experience in query optimization, debugging and automation
Excellent written and oral communication, analytical and presentation skills, including ability to communicate with individuals from various backgrounds
Familiarity with an agile development process
Preferred Qualification
7+ years of experience in data analytics environments
Microsoft PowerBI, Extensive DAX and PowerQuery (M) language experience in PowerBI
Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets
Experience with data modeling, warehousing and building ETL pipelines
Experience with AWS solutions - Azure data platform, experience with Azure functions and services
Ability to test, identify and troubleshoot report and dataset issues
General understanding of Relational database functionality including security, table structures, data modelling, user management, etc.
ITSM + Asset/CMDB knowledge is an asset
Dynatrace, Aternity, lakeside knowledge is an added advantage
Certifications(atleast 1):
Microsoft Certified: Azure Enterprise Data Analyst Associate PL-500
Microsoft Certified: Power BI Data Analyst Associate PL-300
We’re here to help
At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.
As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.
To find out more visit us at https://jobs.bmo.com/ca/en.
The Bank of Montreal is a Canadian multinational investment bank and financial services company. The bank was founded in Montreal, Quebec, in 1817 as Montreal Bank; while its head office remains in Montreal, the operational headquarters and executive offices have been located in Toronto, Ontario since 1977.
Toronto, ON, Canada
2-4 year