RQ09941 Business Intelligence Specialist Senior

Scope:

• The consultants must have a minimum of 10 years of the following skills and experience:
  

Deliverables:

Key deliverables to be performed by the consultants include but are not limited to the following:

• To support influence and impact the use of analytics and strategy for analytics across the enterprise.
  
• To help develop and support the use of the Analytics tools and best practices across the enterprise.
  
• Provide consulting services to ministry business partners regarding their information consumption and analytical needs.
  
• Participate in the creation of detailed plans and accurate estimates towards development testing and implementation of the project or program.
  
• Contribute to successful project completion by identifying risks and developing/ recommending mitigation strategies.
  
• Participate in Proof of Concept or Proof of Technology projects.
  
• The resource will also support CSC release and infrastructure solutions support sustainment activities urgent priorities changing needs or time-sensitive infrastructure upgrades or other sustainment activities supporting any CSC platforms overseen by the Cluster where annual work is required.
  

Provide expertise & training to business users:

• To help develop proposals and feasibility studies for small to medium projects. Conduct technology research evaluate Analytics tools and produce strategy/direction papers.
  
• Provide advice and guidance in the areas of advanced statistical modelling econometrics tools and techniques.
  
• Provide planning advice to the project team on the use of data and building capacity within the Ministry on performing advanced analytics and data analysis.
  
• Provide direction on the statistical relevance of data to the project team
  

Responsibilities:

• Supports Clients wide-ranging business information requirements implementing and supporting business intelligence software solutions
  
• Develops and supports customized query applications which analyze key business data
  
• Develops and supports guided analysis and drill-down functionality routine scheduling and notification of report generation and effective implementation of opportunity and key-trend alerts.
  
• Provides Clients with approach options and tools for managing business-related data in a manner that assists in quantitative analysis of progress and the relationship between operational actions and their effect on business objectives.
  

General Skills:

• Experience with analyzing data in source systems to identify data cleanliness issues (e.g. missing values duplicate meanings and invalid data)
  
• Experience with developing feedback processes to fix corrupt data in the source systems
  
• Experience with developing data extraction transformation and load programs (daily and initial load) functionality on a wide-range of data repositories (relational and multi- dimensional data stores)
  
• Experience with developing implementing and maintaining schedule/dependency logic for Extract Transform Load (ETL) scripts
  
• Experience with developing monitoring and error notification processes to ensure data is updated as designed
  
• Experience with developing automation extraction cleansing and load scripts
  
• Experience generating research models and reports (scheduled and ad-hoc)
  
• Proven troubleshooting and analytical experience
  
• Experience in process decomposition/mapping and business process re-engineering and complex data models using UML.
  
• Experience in the use of development tools and business re-engineering software
  
• Experience in developing enterprise architecture deliverables (e.g. business logical and physical models) based on Enterprise Application Processes and Modeling methodology and guidelines
  

Desirable Skills:

• Knowledge and experience in developing data analysis applications
  
• Knowledge and understanding of Information Management principles concepts policies and practices
  
• Ability to provide expert advice in developing and integrating process and information models to enable identifying and eliminating redundant business processes
  
• Experience with developing monitoring and error notification processes to ensure data is updated as designed
  
• Hands on experience working with stakeholders to develop and document interface specifications design between Business Intelligence solutions and external applications
  
• Extensive experience with conceptual logical and physical data modelling tools like Power Designer and Visio.
  
• Knowledge and understanding of Accessibility for Ontarians with Disability Act (AODA) and related regulations and standards
  
• Supports Clients wide-ranging business information requirements implementing and supporting business intelligence software solutions. Develops and supports customized query applications which analyze key business data. Also develops and supports guided analysis and drill-down functionality routine scheduling and notification of report generation and effective implementation of opportunity and key-trend alerts.
  
• Provides Clients with approach options and tools for managing business-related data in a manner that assists in quantitative analysis of progress and the relationship between operational actions and their effect on business objectives.
  
• Experience with analyzing data in source systems to identify data cleanliness issues (e.g. missing values duplicate meanings and invalid data)
  
• Experience with developing feedback processes to fix corrupt data in the source systems
  
• Experience with developing data extraction transformation and load programs (daily and initial load) functionality on a wide-range of data repositories (relational and multidimensional data stores)
  
• Experience with developing implementing and maintaining schedule/dependency logic for Extract Transform Load (ETL) scripts
  
• Experience with developing monitoring and error notification processes to ensure data is updated as designed
  
• Experience with developing automation extraction cleansing and load scripts
  
• Experience generating research models and reports (scheduled and ad-hoc)
  
• Proven troubleshooting and analytical experience
  
• Experience in process decomposition/mapping and business process re-engineering and complex data models using UML.
  
• Experience in the use of development tools and business re-engineering software
  
• Experience in developing enterprise architecture deliverables (e.g. business logical and physical models) based on Enterprise Application Processes and Modeling methodology and guidelines
  

• Knowledge and experience in developing data analysis applications
  
• Knowledge and understanding of Information Management principles concepts policies and practices
  
• Ability to provide expert advice in developing and integrating process and information models to enable identifying and eliminating redundant business processes.
  
• Experience with developing monitoring and error notification processes to ensure data is updated as designed
  
• Hands on experience working with stakeholders to develop and document interface specifications design between Business Intelligence solutions and external applications
  
• Extensive experience with conceptual logical and physical data modelling tools like Power Designer and Visio.
  
• Knowledge and understanding of Accessibility for Ontarians with Disability Act (AODA) and related regulations and standards
  

Requirements

Experience and Skill Set Requirements:

Skill Set Requirements:

Skills and Experience:

• Experience working and communicating directly with business stakeholders; being able to provide guidance and advice to ensure the successful delivery of projects within the required timelines.
  
• Experience in working with and analyzing large and diverse data sets identifying relationships and themes suitable for future policy development concerning post secondary education and training.
  
• Strong knowledge of design development and implementation experience utilizing Analytics technologies involving the use of administrative postsecondary data.
  
• Knowledge of Statistics and modelling techniques such as econometrics theory of Probability and Statistics - inference based on survey data confidence intervals regression models - multinomial linear logistic ridge machine learning algorithms - training model evaluation hyper parameters search techniques.
  
• Knowledge of advanced data visualization tools and techniques. Knowledge of statistics and analytical tools such as R/SAS/SPSS Expert documentation skills.
  
• Knowledge of BI technologies such as R Shiny Power BI Tableau.
  
• Strong interpersonal and communication skills (both written and oral); ability to communicate with people in a wide variety of areas and at various levels from technical specialists to senior management.
  
• Must be able to work in a high functioning team environment.
  
• Excellent analytical problem-solving and decision-making skills verbal and written communication skills interpersonal skills and team work skills.
  
• Outstanding consulting and relationship management skills with proven ability to elicit requirements develop/consult on options and solutions and provide effective guidance
  
• Adept at communicating to both technical and non-technical audiences
  
• Experience with a range of analytical methods techniques and tools such as but not limited to:
  
• statistical analysis and modelling data mining machine learning and algorithms natural language processing and other related disciplines at the specified experience level
  
• Ability to manipulate and analyze complex high-volume data from structured and unstructured sources
  
• Experience developing data extraction transformation and load functionality for large relational and multi-dimensional data stores
  
• Experience designing high quality interfaces to present information in a meaningful way to end users
  
• Broad understanding of data management financial and business analysis database architecture and information visualization
  
• Proficiency in query languages and experience constructing complex query statements Experience in one or more programming or scripting languages
  
• Strong investigative and logic skills.
  
• Proficiency in mathematics and statistics
  
• Awareness of emerging Business Intelligence trends and directions Functional area experience as required
  

Knowledge Transfer:

• Transfer From Solution Development / Systems Testing/QA Specialist / Intermediate to Project Manager
  

When Knowledge Will Be Transferred:

• Knowledge transfer must be completed one week prior to the end of the project or one week prior to the consultant leaving the ministry.
  
• All deliverables including design/supporting/release/training documents must be checked into designated version control repositories (for example SharePoint). All final documents and working drafts related to project requirements or solution design must be stored on designated project repositories (for example SharePoint site HPQC TFS)
  
• Project manager and designated ministry staff must be regularly informed in writing (by email) of where documentation has been stored and must be provided a minimum of one walk-through of all documentation as part of the final knowledge transfer activities.
  

How Knowledge Will Be Transferred:

• Knowledge will be transferred through 1 on 1 sessions emails document updates and document review with the team.
  

Core Skills:

• Demonstrated experience with database design (SQL Server Oracle)
  
• Experience developing BI and analytics Roadmaps for clients (e.g. Microsoft
  
• BI)
  
• Working knowledge of advanced data visualization tools and techniques (statistical graphics plots information graphics). Some tools that would be of
  
• interest are Rshiny Google Analytics Tableau and Power BI
  
• Demonstrated experience with data preparation and scripting tools (such as OpenRefine Python and DAX)
  
• Demonstrated experience with a range of analytical methods techniques and tools: statistical analysis and modelling data mining machine learning and algorithms natural language processing business performance management benchmarking text mining predicative/prescriptive analysis and other related disciplines
  
• Demonstrated experience with statistics and analytical tools such as R/SAS/SPSS Demonstrated experience with data warehousing and dashboards
  
• Demonstrated experience with statistics and modelling techniques such as econometrics theory of Probability and Statistics - inference based on survey data confidence intervals regression models - multinomial linear logistic ridge machine learning algorithms - training model evaluation hyper parameters search techniques Demonstrated experience developing data extraction transformation and load functionality for large relational and multidimensional data stores
  

Other Technical Skills:

• 10 years experience with Business Analysis
  
• Demonstrated experience with design development and implementation utilizing analytics utilizing post secondary administrative data assets.
  
• Demonstrated experience working with and analyzing large and diverse data sets identifying relationships and themes.
  
• Demonstrated experience with the creating of detailed plans and accurate estimates toward development testing and implementation of project/programs
  
• Demonstrated experience reporting and documenting
  
• Demonstrated experience with data management financial and business analysis database architecture and information visualization
  
• Demonstrated experience with statistical analysis and modelling data mining machine learning and algorithms
  

Communication:

• Experience analyzing requirements in order to determine functional and system requirements; able to take concepts and lead initiatives from end to end
  
• Experience in documenting system design and producing technical specifications and architectural artefacts
  
• Strong understanding of challenges and issues that arise in government projects which arise with respect to data
  
• Demonstrated analytical problem solving and decision-making capabilities;
  
• Experience in dealing with multiple teams representing various areas in delivering the project;
  
• Excellent verbal and written communication and presentation skills;
  
• Demonstrated capacity to work collaboratively with client organizations;
  
• A team player with a track record for meeting strict deadlines; and
  
• Knowledge of industry methodologies best practices and standards;
  

Public Sector Experience:

• Demonstrates experience working within the OPS particularly within the Learning Ministries would be an asset
  
• Demonstrates experience developing applications that comply with GO- ITS standards would be an asset
  
• Strong understanding of challenges and issues that ministry may have with respect to data