Data Analyst

Stellar Consulting Solutions, LLC; Edmonton; Hybrid; CAD 70,000 - 90,000; Full time

Job summary

A leading consulting firm is seeking a Data Analyst to provide expertise in data collection and analysis. The role requires strong proficiency in tools like Excel and Power BI, with responsibilities including developing performance dashboards, conducting spend analysis, and supporting financial planning. This position demands attention to detail and the ability to drive data-driven decision making. Ideal candidates will have a Bachelor's degree and at least 3 years of relevant experience.

Qualifications

• 3+ years of experience in data analysis, preferably in finance.
• Experience with data cleansing and preparing data related to budgeting.
• Ability to translate data into actionable insights.

Responsibilities

• Implement and develop service metrics and performance dashboards.
• Support grants management through data collection and analysis.
• Recommend metrics to support program delivery and monitoring.

Skills

Data extraction

Statistical analysis

Data visualization

Attention to detail

Education

Bachelor’s degree in data science, Statistics, Computer Science, Finance

Tools

Excel

Power BI

Tableau

SQL

Job description

Role: Data Analyst

Location: Edmonton, AB(Hybrid)

Duration: contract

Description:

A Data Analyst is expected to provide expertise in data collection, data-driven storytelling, statistical analysis, data modelling and visualization, data policies and governance standards. The data analyst will also create plans and strategies to identify the various linkages between new and existing data forms, resulting in the integration of data models, development of data policies, and presentation of statistical analysis and data visualizations to help understand and improve service delivery.

The duties for the role include, but are not limited to:

• 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.

Core Requirements:

•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.

kindly share resume at [e-mail] or call me at 678-935-7045 to discuss more!