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Data Analysis
Senior Data Analyst
@Apside
[Hiring] Senior Data Analyst @Apside
Jan 30, 2025 - Apside is hiring a remote Senior Data Analyst. 💸 Salary: unspecified. 📍Location: Canada.
This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more.
Role Description
We are seeking a highly skilled Data Analyst with extensive experience in data quality analysis and data management. The successful candidate will be responsible for:
- Collecting, documenting, and analyzing information management requirements.
- Developing and executing data quality analysis plans, ensuring ongoing monitoring and resolution of data quality issues.
- Identifying discrepancies in data format, content, and values, and working with the business team to resolve these issues.
- Creating, reviewing, and validating conceptual, logical, and physical data models to ensure compatibility with architectural principles and optimal solution design.
- Proposing standards, rules, and guidelines for data analysis at the enterprise level.
- Designing and optimizing data models, and deriving conversion and migration methods for existing data.
- Maintaining an enterprise-wide view of data and collaborating with information governance analysts to ensure compliance with governance standards.
- Working closely with management, stakeholders, development teams, DBA, and infrastructure teams to enhance data management practices and delivery.
- Providing technical leadership in data management initiatives and communicating closely with management about deliverables, schedules, risks, and contingencies.
- Creating and delivering data quality analysis reports and weekly status updates for stakeholders.
- Supporting the setup of data quality analysis frameworks and working with business resources to ensure data quality is upheld across all systems.
Qualifications
- Over 7 years of experience in data management and quality analysis.
- Proven expertise in data lifecycle management, including business intelligence and database administration.
Requirements
- Strong analytical skills to collect, organize, analyze, and disseminate large volumes of information with precision and attention to detail.
- Expertise in Data Quality Analysis, including using data quality tools (experience in this area is an asset).
- Solid understanding of data elements, structures, and systems.
- Experience in working with data migration, ETL development, and database administration.
- Ability to reverse engineer source-to-target mappings to gain data insights.
- Proficient in SQL programming, with over 7 years of experience in SQL development and refactoring.
- Hands-on experience in data modeling, metadata management, and master data management.
Required Skills
- Expertise in dimensional and relational data modeling.
- Extensive experience with SQL programming and data quality tools.
- Experience in Azure Data Platform technologies or other cloud offerings (e.g., Spark SQL, Python).
- Strong proficiency in Power BI report development.
- Excellent verbal and written communication skills, with a focus on critical thinking, time management, and priority planning.
- Ability to interpret requirements and design documents, ensuring alignment with business needs.
- Ability to write and maintain clear and concise documentation.
Preferred Skills (Assets)
- Experience working in an Agile environment/team.
- Familiarity with Denodo platform and IBM tools like Data Manager and InfoSphere DataStage.
- Experience with Master Data Management (MDM) tools.
- Bilingualism (English and French) is an asset.
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| 📍 | Be aware of the location restriction for this remote position: Canada |
| ‼ | Beware of scams! When applying for jobs, you should NEVER have to pay anything. Learn more. |
Back to Remote jobs >
Data Analysis
Data Analysis
|
Salary
💸
unspecified
|
Remote
Location
Canada
|
|
Job Type
full-time
|
Posted
Jan 30, 2025
|
️
| 📍 | Be aware of the location restriction for this remote position: Canada |
| ‼ | Beware of scams! When applying for jobs, you should NEVER have to pay anything. Learn more. |
