Senior Business Systems Analyst

3 weeks ago


Mississauga Ontario, Peel region, Canada Procom Full time

Procom is seeking a Senior Business Analyst (Data Analytics) for a permanent role with one of our clients in the logistics and fleet management sector.

Job Details:

As a Senior Business Systems Analyst (Data Analytics) specializing in the fleet maintenance and management services industry, you will play a pivotal role in collaborating with business users and stakeholders to understand organizational needs and desired outcomes while translating them into specific, actionable software requirements. In addition, you will be responsible for working closely with our development, product, project management and business teams to elicit, document and disseminate business and technical requirements for the software projects and initiatives.

Responsibilities

Gather and document business requirements from a diverse group of stakeholders, end-users, technical and management teams, to create and enhance our software products that optimize fleet maintenance and management processes, support business growth, and provide value to our customers.

Work closely with cross-functional teams, including operations, maintenance, and IT departments, to understand business requirements and align our software products and analytics initiatives with organizational objectives.

Provide knowledge transfer and support to designers and developers, assisting with building web and mobile applications as well as Power BI dashboards that visualize key performance indicators (KPIs), trends, and metrics pertinent to fleet maintenance and management operations.

Collaborate with development teams to ensure technical feasibility of requirements.

Create and maintain project documentation, including user stories, functional requirements, process flows, behaviour driven use cases and acceptance criteria in conjunction with peers and other subject matter experts.

Effectively communicate project status and progress to stakeholders and leadership

Identify opportunities for process improvements and innovation, contributing to the enhancement of our fleet maintenance and management strategies and methodologies.

Utilize advanced analytics techniques and tools to dissect complex datasets related to fleet maintenance and management operations, including but not limited to asset tracking, vehicle performance, maintenance processes and schedules, and cost analysis.

Understand and document data integrations, data cleansing, and transformation processes, ensuring data accuracy and integrity across systems.

Communicate complex analytical findings effectively to stakeholders, providing insights that drive informed decision-making.

Stay abreast of industry trends, emerging technologies, and best practices in fleet maintenance and management analytics.


Must Have Skills

Proven 5+ years of experience of Business Systems Analysis experience

Deep understanding of business analysis methodologies, tools, best practices, software development processes and technologies.

Strong organizational skills to manage multiple projects, prioritize tasks and meet deadlines within an agile environment.

Excellent analytical and problem-solving skills

Excellent communication and interpersonal skills

Ability to adapt and be flexible in responding to new information, requirement changes and shifting priorities in an evolving business landscape.

Experience with data analysis and visualization tools

Bachelor’s degree in Computer Science, Engineering, Business, or a related field

Technical Skills

Familiarity or proficiency with most of the following:

Analytics tools such as Power BI, Tableau or other dashboarding and data visualization tools

Microsoft Azure Platforms and Services including DevOps, Data Factory, SQL Database, Functions and Logic Apps

SaaS/Cloud products

Data warehousing concepts and data modeling

Data retrieval and manipulation via APIs including integrating with 3rd party data sources or systems (RESTful APIs and related networking protocols)

SQL for querying and manipulating data from relational databases

Process Workflows Design / Automation

Machine Learning

Project management methodologies such as agile, scrum and kanban

Start Date

ASAP

Assignment Length:

Permanent, Full Time


Location:

Mississauga – ONSITE

Some travel to Waterloo office may be required



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