Math jobs in France

If interested, please share your latest resume at sivakumarm@2iresourcing.ca / sivakumarm@2isolutionsus.com

Client: Ministry of Public and Business Service Delivery and Procurement

Period: 12 months

Start Date: 2025-04-01

End Date: 2026-03-31

Working Hrs.: 7.25 Hrs. / day

Location: 777 Bay Street

Hybrid: Candidate must be able to work 3 days onsite and 2 days remote

1. Demonstrates efficiency in Structured Query Language (SQL) to access databases to conduct research and use applications to retrieve and manipulate data from databases located on different platforms.
2. Experience with multiple databases (e.g. Oracle MS-SQL) and proficiency with various modeling, analytics and data visualization software tools (PowerBI, etc.)
3. Demonstrate knowledge of data skills, methods, techniques, and tools, including data mining, statistical analysis and statistical models
4. Ability to analyze data in source systems to identify data quality issues (e.g., missing values, duplicate meanings, and invalid data)
5. Use creative thinking and propose innovative ways as it relates to data mining, behavioural economics, statistics and statistical models, algorithms, data integration, information management, predictive analytics and analytics modeling, and data-related information technology

1. Demonstrates efficiency in Structured Query Language (SQL) to access databases to conduct research and use applications to retrieve and manipulate data from databases located on different platforms.
2. Demonstrate knowledge of data skills, methods, techniques, and tools, including data mining, statistical analysis and statistical models
3. Ability to analyze data in source systems to identify data quality issues (e.g., missing values, duplicate meanings, and invalid data)
4. Use creative thinking and propose innovative ways as it relates to data mining, behavioural economics, statistics and statistical models, algorithms, data integration, information management, predictive analytics and analytics modeling, and data-related information technology

1. Experience with multiple databases (e.g. Oracle MS-SQL) and proficiency with various modeling, analytics and data visualization software tools (PowerBI, etc.)

1. Lead the development and delivery of functional analytics to support evidence-based decision-making and produce actionable insights
2. Work closely to assess current data analytics and reporting capabilities, gather future-state requirements and identify further opportunities for improvement
3. Facilitate decision-making and manage client expectations
4. Own the execution of analytics initiatives including end-to-end reporting and data set delivery
5. Participate in documentation, development, testing, and end user training
6. Work with functional area experts, Data Architects and stakeholders to understand complex business issues and develop appropriate Business Intelligence solutions
7. Build data models that provide information which is accurate, easy to understand and unbiased
8. Communicate complex quantitative analysis in a clear and precise manner, providing useful visuals and summaries
9. Provide interpretation, advice, and expertise to client groups and other stakeholders, including direction on how to transform analytics into actionable information and proactive insights that support decision-making

1. Excellent analytical, problem-solving and decision-making skills, verbal and written communication skills, interpersonal skills and teamwork skills
2. Outstanding consulting and relationship management skills, with proven ability to elicit requirements, develop/consult on options and solutions, and provide effective guidance
3. Adept at communicating to both technical and non-technical audiences
4. Experience with a range of analytical methods, techniques and tools such as, but not limited to: statistical analysis and modelling, data mining, and other related disciplines at the specified experience level
5. Ability to manipulate and analyze complex, high-volume data from structured and unstructured sources
6. Experience developing data extraction, transformation, and load functionality for large relational and multi-dimensional data stores
7. Experience designing high quality interfaces to present information in a meaningful way to end users
8. Broad understanding of data management, financial and business analysis, database architecture, and information visualization
9. Proficiency in query languages and experience constructing complex query statements
10. Experience in one or more programming or scripting languages
11. Strong investigative and logic skills
12. Proficiency in mathematics and statistics
13. Awareness of emerging Business Intelligence trends and directions
14. Functional area experience as required
15. Experience with analytical software such as R, PowerPivot, Matlab, SPSS, or SAS an asset
16. Proficiency with desktop analysis software including Microsoft Excel, Access, VBA
17. Proficiency with Power BI data visualization tool

1. Manipulate and analyze complex, high-volume data from structured, unstructured and semi-structured sources, and multi-dimensional datasets with a variety of tools
2. Identify and assess information, data needs and requirements to support business plans/practices and business goals/objectives
3. Analyze data in source systems to identify data quality issues (e.g., missing values, duplicate meanings, and invalid data)
4. Develop complex SQL queries to extract, analyse and validate key business data from a wide range of data repositories (relational and multi-dimensional data stores (Oracle and MS SQL Server), flat files, structure and unstructured)
5. Use creative thinking and propose innovative ways as it relates to data mining, behavioural economics, statistics and statistical models, algorithms, data integration, information management, predictive analytics and analytics modeling, and data-related information technology
6. Provide planning advice to the project team on the use of data, and building capacity on performing advanced analytics and data analysis
7. Provide advice and guidance to the project team on data de-identification to minimize privacy risks
8. Creating and/or updating data processing overview, technical design, source to target mapping, operation manual and other technical documentation

1. Demonstrate knowledge of information management, data management, financial and business analysis, database architecture, and data related concepts such as data preparation, data integration, data anonymization, data extract/transform/load (ETL), data warehousing, data lineage, metadata management, master data management, and data governance
2. Demonstrate knowledge of data skills, methods, techniques, and tools, including data mining, statistical analysis, statistical models and algorithms on machine learning deep learning, natural language processing, artificial intelligence and other related disciplines
3. Demonstrates efficiency in Structured Query Language (SQL) to access databases to conduct research and use applications to retrieve and manipulate data from databases located on different platforms.
4. Experience with multiple databases (e.g. Oracle MS-SQL) and proficiency with various modeling, analytics and data visualization software tools (PowerBI, etc.)
5. Experience in the use of data modelling methods and tools (e.g. PowerDesigner) including a working knowledge of metadata structures, repository functions, and data dictionaries
6. Understand legislative regulations, policies and guidelines, ministry programs/services and policy development processes, data standards (e.g. GO-ITS) and privacy legislation (e.g. FIPPA) related to access and release of personal information and data

1. Ability to analyze data in source systems to identify data quality issues (e.g., missing values, duplicate meanings, and invalid data)
2. Manipulate and analyze complex, high-volume data from structured, unstructured and semi-structured sources, and multi-dimensional datasets with a variety of tools
3. Identify and assess information, data needs and requirements to support business plans/practices and business goals/objectives
4. Use creative thinking and propose innovative ways as it relates to data mining, behavioural economics, statistics and statistical models, algorithms, data integration, information management, predictive analytics and analytics modeling, and data-related information technology

1. Communication skills to prepare technical and non-technical status reports, planning documents, and operational policies, and provide explanations on data issues and complex data analyses
2. Writing skills to prepare technical specifications, source to target mapping document and data process flow diagrams
3. Demonstrate experience working in a multi-team environment spanning across business and IT stakeholders in the pursuit of common missions, vision, values, and mutual goals.