BI & Data Analyst - Contract

at  Oxford Properties

Toronto, ON, Canada -

Start DateExpiry DateSalaryPosted OnExperienceSkillsTelecommuteSponsor Visa
Immediate11 Nov, 2024Not Specified11 Aug, 20241 year(s) or aboveGood communication skillsNoNo
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Description:

Referred applicants should NOT apply directly to this role.
All referred applicants must first be submitted through Workday by a current OMERS and Oxford employee, and then must apply through the unique link received via their email.
Choose a workplace that empowers your impact.
Join a global workplace where employees thrive. One that embraces diversity of thought, expertise and passion. A place where you can personalize your employee journey to be — and deliver — your best.
We are a leading global real estate investor, developer and manager. We combine our capital with our capabilities to create real estate that strengthens economies and communities. By prioritizing people, partnerships and places, we generate meaningful returns for OMERS members, enhance value for our capital partners and create a brighter world for our customers.
Join us to accelerate your growth & development, prioritize wellness, build connections, and support the communities where we live and work.
Don’t just work anywhere — come build tomorrow together with us.
We are looking for a highly motivated BI & Data Analyst to join the Financial Systems Team in Toronto. This role will report to the Senior Manager, Financial Systems and be responsible for acting as a business partner to our finance stakeholders, performing data analysis using a wide variety of applications (including Power BI, Power Platform, UiPath and SQL), and driving automation efforts within the Finance team. To succeed in this role, candidates must be able to drive project completion with strong communication and project management, combined with experience in data analytics, big data mining, and data flow & structure. This role will require effective customer service management, with a proven ability to build relationships between the business groups, financial team and IT department, while being able to multitask in a complex environment.

Responsibilities:

Undergraduate degree in Accounting, Mathematics, Computer Science or a related field.
Have a minimum of 1-2 years of demonstrated experience in a similar role (e.g. Data Analyst or BI Data Analyst).
Team oriented individual with strong communication skills, who is comfortable engaging with different groups within the organization (including non-technical audiences).
Strong project management and organizational skills and ability to work under pressure and manage high priority projects with multiple or competing deadlines.
Willingness to learn new technologies, including RPA, with a strong inclination to improve processes and not settle for ‘status quo’ to generate efficiencies and improve capabilities.
Experience with UiPath Studio, Power Platform, Power BI, SQL, and advanced Excel functionality (including Power Query, VBA) to develop automation solutions. Experience with other BI Tools an asset.
Technical expertise in data mining and analysis, with an understanding of financial reporting concepts.
Demonstrate strong problem-solving skills and innovative approaches for resolution.

LI-Hybrid

Oxford’s purpose is to strengthen economies and communities through real estate.
Our people-first culture is at its best when our workforce reflects the communities we live and work — and the customers we proudly serve.
From hire to retire, we are an equal opportunity employer committed to an inclusive, barrier-free recruitment and selection process that extends all the way through your employee experience. This sense of belonging and connection is cultivated up, down and across our global organization thanks to our vast network of Employee Resource Groups with executive leader sponsorship, our Purpose@Work committee and employee recognition programs


REQUIREMENT SUMMARY

Min:1.0Max:2.0 year(s)

Financial Services

Analytics & Business Intelligence

Software Engineering

Graduate

Accounting mathematics computer science or a related field

Proficient

1

Toronto, ON, Canada