| Experience Required/Mandatory Skills |
- Demonstrated experience leading or facilitating meetings (and workshops) with clients or stakeholders. (3+ years)
- Demonstrated experience identifying, gathering, analyzing, and documenting business (or BI) requirements from clients or stakeholders. (3+ years)
- Experience creating data visualizations, dashboards, and other information products for clients using BI/analytics software, including any or all: SAS Visual Analytics, SAS Visual Investigator, MS Power BI. (3+ years)
- Candidate must be willing and able to work full-time, in-person in client office(s) in Edmonton, Alberta and/or work remotely, at the client's discretion. (No relocation funding will be provided by the client.)
- During the evaluation phase, candidate may be required to take a test and/or prepare sample documentation and/or deliver a presentation (all, some, or none of these, at the client's option).
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| Nice To Have Skills |
- Experience creating data visualizations, dashboards, and other information products for clients using BI/analytics software, including any or all: SAS Visual Analytics, SAS Visual Investigator, MS Power BI. (3+ years)
- Experience with SQL (any or all: SQL Server, Oracle, Hive, Impala, PostgreSQL, MySQL, NoSQL, etc.). (3+ years)
- Experience working on multiple projects concurrently. (3+ years)
- Experience implementing and/or using artificial intelligence (AI), machine learning (ML) tools. (1+ year)
- Experience developing training strategies and materials, and delivering training. (3+ years)
- Experience documenting business processes, procedures, standards and guidelines. (3+ years)
- Experience in Business Intelligence operations. (2+ years)
- Experience identifying, gathering, analyzing, and documenting business (or BI) requirements from clients or stakeholders. (3+ years)
- Experience leading or facilitating meetings (and workshops) with clients or stakeholders. (3+ years)
- Experience in capturing business and technical metadata. (2+ years)
- Experience working on enterprise applications, i.e. applications used by all or most departments in a large organization, rather than applications used by just one or a few departments. (2+ years)
- 3 or more years of direct, hands-on experience with 4 or more of the following bulleted areas:
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- data management, data acquisition, data preparation, data quality, data lineage/provenance
- data modeling, data ingestion, ETL, ELT, data joins
- data manipulation/transformation, data cleansing, data wrangling
- data security, data privacy, data policies, data de-identification/anonymization, data audits/reviews
- data analysis, data analytics, data visualization
- data science, data mining
- Experience working with data models and data architecture in a data warehouse or big data environment. (3+ years)
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