Overview
BI Analyst Jobs in Ottawa – Ontario at Stafflink
Title: BI Analyst
Company: Stafflink
Location: Ottawa – Ontario
Category: IT/Tech, Business
Job Description
BI Analyst
Location:
Ottawa (Downtown), Montreal (alternatively) – 100% on-site Salary: $80,000 – $95,000) with up to $2500 variable bonus Vacation: 3 weeks starting, Sick days, 100% coverage Benefits Reporting to:
Introduction:
We are seeking a highly motivated and skilled BI Analyst to join our reputable client in the Real Estate and Property Management industry. This position is 100% on-site in Ottawa (or Montreal) and offers an
exciting
opportunity to contribute to the organization’s growth by leveraging data analytics and business intelligence techniques.
Responsibilities:
Collaborate with stakeholders to understand business needs and translate them into data requirements. Utilize Data Analytics expertise to analyze and interpret complex data sets, deriving actionable insights. Develop and maintain BI solutions using various tools, ensuring data accuracy, reliability, and accessibility. Implement and optimize DOMAL (Data, Object, Model, Access, Logic) framework, facilitating efficient data management and governance. Serve as a bridge between technical teams and business stakeholders, effectively communicating insights and findings.
Contribute to the development of data engineering solutions using Python and SQL, enhancing data processing capabilities. Drive the transition to cloud-based solutions, leveraging experience with data lakes and cloud platforms (mandatory for intermediate level, junior flexible). Actively participate in
team collaboration
and knowledge sharing, fostering a culture of
continuous improvement
.
Qualifications:
2-6 years of experience in Data Analytics, with strong Business Analyst
communication skills
. Proficiency in Python and SQL, with experience in data engineering considered an asset Proven experience in Business Intelligence (BI) with proficiency in any BI tool. Familiarity with DOMAL framework and willingness to learn and implement.
Experience with
cloud platforms (AWS, Azure) and data lake architectures preferred. Bachelor’s degree in Computer Science, Statistics, Economics, or related field. Nature of the
Role:
This role requires a
diverse
skill set, combining Business Analyst
communication skills
, Data Engineering capabilities, and Business Intelligence expertise. The percentage breakdown includes: 50% Business Analyst:
Ability to
connect data to business needs and simplify technical data for stakeholders. 30% Engineer:
Proficiency in Python, SQL, and experience with cloud platforms for data engineering tasks. 20% Business Intelligence:
Developing and maintaining BI solutions to drive data-driven decision-making. This position is with a focus on data engineering, leading to a gap in capturing business needs. We are seeking candidates with a long-term, proactive mindset who can bridge technical and business domains effectively. This is not solely a coding role but requires a
holistic approach
to deploying DOMAL and driving business intelligence initiatives.
Interview Process:
Initial screening with Talent Acquisition. Interview with Jonatan and Chris, VP of Marketing. Final interview
