Business Intelligence Analyst

emergiTEL

6d•Remote

About The Position

The Artificial Intelligence, Data and Emerging Technologies Division uses a one-government approach to information and privacy governance, decision-making, and service delivery across the Government of Alberta balanced with individual client needs. This facilitates enhanced data access, collaboration, reduction in data duplication, and innovation to ensure effective and efficient services across the government to provide better services to Albertans. The Data Centre of Excellence requires a resource to support the design and development of analytical data products and services to enable the GoA to better leverage its data assets and support implementation of the GoA Data Strategy. Working within a team, this position plays a fundamental role in ensuring high-quality data analysis, data modeling, development of data visualizations, and development of evidence for use across departments and with external stakeholders. This role will enact the pillars of the Data Strategy by using data to benefit Albertans. The successful candidate will be a Business Intelligence Analyst with a diverse range of analytical skills and experience in working in multi-faceted roles. The role may have aspects of any or all of the following: data analysis, data modelling, statistical analysis, data governance, data science, data quality, advising, business analysis, data product design, and delivery.

Requirements

University degree or college diploma in Business Intelligence, Data Analytics, Statistics, Computer Science, Information Systems, or a related discipline. An equivalent combination of education and experience may be considered.
3–5 years of progressive experience as a Business Intelligence Analyst or similar role.
Demonstrated experience developing data products based on various data sets.
Proven experience analyzing data and preparing results.
Experience gathering and documenting client requirements.
Experience designing and developing data products.
Experience capturing business and technical metadata for data products.
Experience performing data analysis, data quality audits/reviews, statistical analysis, and data mining.
Experience developing data models and products.
Experience developing KPIs, metrics, and other indicators.
Experience designing and creating dashboards and custom reporting.
Experience integrating quantitative and qualitative data.
Experience working in multi-vendor/staff environments.
Proficiency with BI tools (Power BI, Tableau, Cognos, Qlik Sense, or similar).
Strong SQL skills for data analysis and validation.
Experience with data modeling and data warehouse concepts.
Experience with ETL processes and data integration.
Knowledge of data governance and data quality frameworks.
Experience with statistical analysis and data mining techniques.
Strong analytical, problem-solving, and critical-thinking skills.
Excellent written and verbal communication skills.
Strong stakeholder engagement and requirements gathering skills.
Ability to translate complex data into actionable business insights.
Strong organizational and time-management skills.
Ability to work effectively in a multi-vendor/staff environment.
Work must be done from within Canada due to network and data security issues.
The Contractor is responsible for supplying all equipment necessary for remote work, including computers, software, printers, supplies, and appropriate office furniture.
All contracted resources must utilize a computer with a modern version of Windows or macOS compatible with Azure Virtual Desktop (AVD) and related remote-access software. Windows is strongly preferred due to system compatibility.
The fixed rate quoted must be inclusive of all overhead, office space and equipment, including supplies, administrative burden, mark-up, and all other costs to perform the Services for the duration of the Contract.

Nice To Haves

Public sector experience is an asset.
Familiarity with Python or R for data analysis is an asset.
Experience with Microsoft Azure or cloud data platforms is an asset.
Experience in public sector environments and data governance is an asset.

Responsibilities

Provides hands-on business intelligence support on the strategic data initiatives that are being undertaken as part of the Data Strategy.
A critical responsibility is to translate data into actionable business insights that support strategic decisions by creating dashboards, reports, and business KPIs.
Services and project deliverables should evolve as the work progresses, in response to emerging user and business needs, as well as design and technical opportunities.
Deliver business intelligence capabilities to support internal and external client needs
Develop data products based on various data sets
Analyze data and prepare results
Gather and document client requirements
Design and develop data products
Capture business and technical metadata for data products
Perform data analysis, data quality audits/reviews, statistical analysis, and data mining
Develop and share data models and products
Develop baseline and ongoing outcomes, key results, metrics, and other indicators
Apply skills to provide insights, support decision-making, and facilitate strategic business planning
Integrate both quantitative and qualitative data to create business insights
Design and create dashboards and custom reporting with various data sources and inputs
Escalate issues and risks, as appropriate
Work within a multi-vendor/staff environment