Analyste de données principal modernisant les plateformes et pipelines de données d’EDC, société financière publique canadienne. Traduction des besoins opérationnels en modèles, règles de transformation et récits utilisateurs.
About the role
- Senior Data Analyst converting data into strategic insights at Introhive. Collaborating with teams to enhance data quality and creating actionable reports for clients.
Responsibilities
- Conducting full lifecycle analysis, including requirements gathering, activities and design
- Developing analysis and reporting capabilities, monitor performance, and identify quality control improvements
- Working closely with the Principal Client Solutions Architect, Product, Support and Technical Services to build and deploy the first five use-case dashboards for new clients within their first six months to secure initial ROI
- Owning the technical configuration for high-stake evaluations and expansion opportunities to prove product value before contracts are signed
- Analyzing and interpreting trends or patterns in complex data sets to identify and define opportunities to improve data quality and quantity
- Preparing detailed analysis and present recommendations for improvement to team members and management and work with leadership to help prioritize data improvement initiatives
- Triaging incoming data investigations using standardized procedures, investigating issues, developing acceptance criteria for fixes, and evolving data quality reports with standardized health metrics
- Creating a library of repeatable builds, templates, and step-by-step guides to teach the organization what success looks like, improving overall delivery speed
Requirements
- Advanced SQL queries and Python scripting
- Strong proficiency in data visualization and reporting tools (Tableau and PowerBI)
- Practical experience with APIs, data mapping, and connecting enterprise software platforms
- Exceptional attention to detail and a finisher mindset, with the urgency to move technical projects from 90% to 100% completion within 60 to 90 days
- High-level client-facing skills with the ability to translate complex technical requirements into clean instructions, and ability to work closely with Solutions Architects, Product teams, and clients alike
- Experience manipulating large data sets through statistical software or other methods
- Highly organized with the ability to plan work independently, and maintain a high level of accuracy in a fast-paced, demanding environment to meet deadlines
- Strong interpersonal, written, and verbal communication skills, with the ability to collaborate effectively across stakeholders, software developers, data engineers, and data scientists
- Experience working in an agile environment within a development team or professional services team delivering customer-facing technical solutions
- BA/BS in a field that emphasizes data analysis and visualization (e.g., computer science, social sciences, physical sciences, math, engineering, or statistics), or equivalent practical work experience
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