Data Analyst

What you will be doing :

Implement, develop, and share service metrics and service performance dashboards of IT projects in relation to spend, progress and risk level or projects.

Inform project team and leadership about current data trends and performance and recommend performance metrics to support program delivery and monitoring.

Research best practices and makes recommendations for the direction of data-driven governance policies to support the adoption of digital services and delivery of services.

Collaborate with Technology and Innovation (TI) program areas to investigate program needs, understand contract requirements, and support the achievement of program deliverables.

Develop comprehensive contract inventory and conduct spend analysis to support financial planning and decision-making.

Prepare contract-level budget justifications and develop optimized contractual spend plans aligned with program objectives.

Produce comprehensive zero-based budgeting reports to enhance financial transparency and resource allocation.

Support grants management through data collection and analysis, aiding in compliance and performance reporting.

Support corporate priorities and data-driven decision making by leveraging existing and new analytics, data visualizations, data models, and storytelling tools

Other responsibilities as required or requested.

What you must have :

Bachelor’s degree in data science, Statistics, Computer Science, Finance, or a related field.

3+ years of experience in data analysis, preferably supporting finance or procurement processes.

Experience with data extraction, cleansing, and preparing data sets related to contracts, spending, and budgeting.

Proficiency in data analysis / visualization tools (Excel, Power BI, Tableau) and working knowledge of SQL or other database tools.

Ability to translate complex financial / operational data into actionable insights for zero based budgeting decisions.

Experience in preparing dashboards and reports tailored for various audiences.

Strong attention to detail and commitment to data accuracy and quality.

Experience supporting business process optimization or financial planning projects preferred.