Senior Systems Analyst Enterprise Database, Data Warehouse, and Analytics Jobs in Burnaby, Canada at British Columbia Institute of Technology
Title: Senior Systems Analyst Enterprise Database, Data Warehouse, and Analytics
Company: British Columbia Institute of Technology
Location: Burnaby, Canada
Category:
Position Summary
BCIT’s Information Technology Services department is seeking a regular, full-time (1.0 FTE) Senior Systems Analyst to participate in the ERP modernization initiatives. This position plays a key role in ensuring enterprise data is accurate, well defined, and suitable for reporting, analytics, and operational decision making.
Working closely with the Data Governance Committee, the Senior Systems Analyst will be responsible for developing and maintaining data governance standards.
The Senior Systems Analyst will also contribute to creating scripts in PL/SQL, or MSSQL, as well as building dashboards to support Data Conversion, Data Warehouse, AI initiatives, and helps ensure institutional data is well documented, well governed, and fit for use across the organization.
Duties & Responsibilities
DUTIES AND RESPONSIBILITIES:
Development and Analysis:
Perform data analysis using PL/SQL or MSSQL to identify trends, anomalies, and data quality issues.
Collaborate with business stakeholders on data quality issues and gather business logic for remediation.
Work with technical and functional teams to ensure proper data lineage, metadata management, and data controls.
Participate in data modelling, create PL/SQL or MSSQL scripts and stored procedures that will be used in Data Conversion, new Enterprise Database, and new Data Warehouse.
Dashboard and Reporting:
Support TM1 Cognos Analytics for Budget and Forecasting.
Support and maintain reports and dashboards in Cognos Analytics and Millennium FAST.
Contribute to the planning, design, development, and deployment of new applications, and enhancements to existing applications.
Build scripts and BI dashboards to support AI initiatives.
Data Integration & Analytics Support:
Support data preparation, transformation, and reconciliation activities for ERP implementations, upgrades, or migrations.
Assist with data loading and validation activities for cloud-based ERP or SaaS environments.
Support ETL/ELT processes that integrate enterprise data into analytics platforms, Datawarehouse, or Lakehouse environments.
Collaborate with the teams to ensure data is fit for analytical and reporting use.
Documentation &
Collaboration:
Document data flows, transformations, and business rules to support transparency and sustainability.
Qualifications QUALIFICATIONS:
Minimum two-year diploma in Computer Systems, Data Management, or a related discipline, or a bachelor’s degree in computer science, information systems, statistics, business, or related field; plus a minimum of six (6) years of current, practical experience, of which at least four (4) years must be in a similar role or a closely related data-focused role.
An equivalent combination of education, training, and experience may be considered.
Effective oral and written communication skills.
Must have demonstrated specific current IT knowledge.
Proven commitment to providing and maintaining the highest level of customer service.
Proven analytical and problem-solving skills.
Strong organizational skills with the ability to manage changing priorities and meet deadlines.
Ability to work effectively as part of a team and with cross-departmental groups.
Ability to learn quickly and apply new knowledge and techniques.
Commitment to ongoing professional development.
High level of professionalism and ethical responsibility, particularly in the handling of institutional data.
Qualifications Specifics:
Effective oral and written communication skills with the ability to work across technical and non-technical teams, and Data Governance Committee.
Proficiency Oracle PL/SQL or MS SQL, and stored procedures for querying, data manipulation, and analysis in large, complex databases environment
Experience in administering. developing and supporting TM1 and Cognos Analytics
Solid understanding of data governance principles, data quality, and data lifecycle management
Experience in enterprise or corporate data modeling with strong understanding of dimensional modelling, analytical data structures and reporting requirements
Experience with data analysis, profiling, and validation techniques
Experience designing and executing ETL/ELT processes to support…
