Data Management Analyst

Mississauga, ON
Hybrid
Posted Oct 7, 2026
1 position

$45–$55 / hour

Opens LinkedIn

Employment type: Contract
Experience level: Senior · 5+ years
Posting language: English
Working hours: 40 hours per week
Office presence: 2 days per week
Seniority: Mid-Senior level
Application method: Direct apply is available

Job summary

Profile and validate unfamiliar datasets, reconcile information across legacy platforms and other systems, and identify data gaps, inconsistencies, dependencies, and business rules. Document data lineage and definitions, collaborate with business and technical stakeholders, and communicate findings as decision-ready insights for new initiatives.

Job details

Location: Mississauga, ON, Hybrid, 2 days on-site Language: Strong written and spoken English communication skills Duration: 6-month contract to start, with potential to transition to permanent About the Opportunity Join an innovation-focused team where new ideas are tested against real data before they move forward. This Data Management Analyst role is ideal for someone who enjoys digging into unfamiliar and sometimes messy data, uncovering how it works, and turning complexity into insight that teams can confidently act on. Working within a large healthcare and pharmaceutical environment, you’ll collaborate closely with business and technical stakeholders to understand data across legacy platforms, dashboards, extracts, spreadsheets, and back-end systems. You’ll be the person who gets into the data early, challenges assumptions with evidence, and helps determine whether an idea has the foundation to succeed. What’s In It for You You’ll gain exposure to high-impact innovation initiatives while working across diverse business and technical teams. This is an opportunity to build deep organizational knowledge, influence important decisions, and create reusable data documentation that makes future projects faster and smarter. Your Responsibilities • You’ll profile unfamiliar datasets and assess data quality, feasibility, and readiness for new initiatives. • You’ll investigate and reconcile data across AS400 environments, user interfaces, BI extracts, Excel files, DataHub environments, and other systems. • You’ll reuse, adapt, combine, and validate SQL queries and data extracts, explaining discrepancies across sources. • You’ll own data discovery, lineage, definitions, data dictionaries, documentation, and business rules. • You’ll identify data gaps, inconsistencies, dependencies, and ambiguities before they impact project delivery. • You’ll partner with business and technical stakeholders to understand data sources, calculations, processes, and usage. • You’ll translate findings into clear, decision-ready insights that help determine which ideas move forward. Skills and Qualifications • Proven experience as a Data Analyst, Business Data Analyst, or Data Management Analyst in complex data environments. • Strong hands-on SQL, data profiling, exploratory analysis, data quality, and validation skills. • Experience working with legacy platforms such as AS400 and fragmented or in-house data environments. • Strong documentation skills covering data lineage, dictionaries, definitions, governance, and business rules. • Excellent communication skills with the ability to bridge business and technical audiences. • Familiarity with Alation or similar data governance tools, Power BI, Tableau, data warehouses, or data lakes is an asset. • Healthcare, pharmaceutical, distribution, innovation, discovery, or R&D experience is considered an asset. Why Partner with Altis If you’ve never worked with a staffing agency before, we make it easy. We work with top employers across Canada who have great jobs to fill, each vetted and verified by our team. When you apply for a job with Altis, we get to know you as a candidate and learn what your strengths are. Then, if you’re a solid match, we handle all the logistics, advocating for you as a candidate for the role, providing access to coaching and connecting you directly with the hiring manager. And rest assured, all our services are free of cost for candidates.

What you’ll do

Requirements

Candidates should have proven experience in data analysis or data management in complex environments, with strong SQL, data profiling, exploratory analysis, data quality, and validation skills. They should be skilled in documenting data and communicating across business and technical teams; experience with AS400 and fragmented data environments is expected, while governance tools, BI platforms, and healthcare or pharmaceutical experience are assets.