Venturis Capital Corporation strategically invests in visionary and values-driven organizations, with expertise in the material handling equipment industry. With an entrepreneurial spirit, people-focused mindset, and mission-driven approach, Venturis and its companies have achieved consistent growth across North America.
Today, the Venturis group of companies represents an extensive and integrated network of businesses, including over 60 branches and 1,400 employees. In addition to our expanding dealership network, our portfolio includes complementary companies providing financing, freight and logistics, parts manufacturing, industrial parts supply, component rebuilding, training solutions, and marketing.
With a focus on learning and continuous improvement, we are proud to invest in our people and offer a progressive and flexible work culture where you can develop and advance your career while focusing on meaningful work.
The Opportunity
Venturis is looking for a Senior Data Analyst to join our team remotely in Coquitlam, British Columbia. As the Senior Data Analyst, you will lead the data migration from our legacy ERP to a modern ERP platform, ensuring timely and accurate delivery across core business domains. This hands-on role includes defining the migration roadmap, coordinating a small team, and resolving data issues.
Essential Duties & Responsibilities
As the Senior Data Analyst your key responsibilities will include:
Lead the planning and execution of data migration activities across all ERP domains
Define and manage the data migration roadmap, including profiling, mapping, cleansing, and validation
Coordinate a small team to ensure on-time, high-quality data delivery aligned with project milestones
Collaborate with functional and technical stakeholders to align business requirements with migration plans
Support mock runs, cutover planning, and post-load validation and reconciliation
Document data flows, rules, and assumptions for use in future reporting and integration work
Post-migration, lead the ingestion and modeling of ERP data into Microsoft Fabric to support analytics
Collaborate with data engineers and Power BI developers to enable semantic models and data products
Required Skills & Qualifications
The ideal candidate will possess the following skills, knowledge, and competencies:
5+ years of experience in data analysis or migration, with strong delivery ownership
Deep understanding of ERP data domains, including finance, inventory, customers, and vendors
Strong SQL skills and experience with ETL tools or scripting for data profiling and transformation
Experience leading small teams or workstreams with accountability for outcomes
Familiarity with Microsoft Dynamics 365 Finance & Operations (F&O) is preferred
Previous exposure to or interest in Microsoft Fabric, including Lakehouses, Dataflows, and semantic modeling
Strong communication and documentation skills for technical and non-technical audiences
Benefits & Perks
Venturis is proud to offer competitive compensation and flexible benefits coverage for all eligible employees, including an employer matching RRSP plan:
Company paid medical health care plan for you and your dependents
Dental plan, vision plan, and prescription drug coverage
Annual health care spending account
Life insurance, disability insurance, and travel insurance – 100% employer paid
Sick leave plan – 100% employer paid
Employee assistance programs
RRSP matching
Ongoing professional development opportunities
The base pay range for this role is: $100,000 to $120,000, depending on experience.
This is a remote role based in Coquitlam, British Columbia.
Venturis Capital would like to thank all applicants for their interest; however, only qualified applicants will be contacted by Talent Acquisition for an interview. We are an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, religion, sex, national origin, disability status, veteran status, age, sexual orientation, gender identity, or any other characteristic protected by law.
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