Adults Data Analyst
2 months ago
We are looking for a passionate Data Analyst and Data Modeler. The successful candidate will turn data into actionable insights. Data analyst responsibilities include conducting full lifecycle analysis to include requirements, activities, and design. The Data Analyst will develop analysis and reporting capabilities. They will also monitor performance and quality control plans to identify improvements.
- Work in an agile environment to collaborate with internal businesses, project team members, and other teams on program planning, data integration, and technical integration activities.
- Act as the subject matter expert for data integration and translation initiatives and coordinate with various stakeholders to mitigate and resolve highly complex technical data transformation issues, while understanding/balancing business needs.
- Interact with non-technical teams, understand their requirements and business drivers, and translate them into technical data and report requirements by provisioning precise and concise data to support data-driven decision making and report requirements.
- Responsible for Data modeling.
- Map data sources, data movement, and interfaces with the goal of ensuring data quality, awareness, visibility, and re-use.
- Identify, analyze, and interpret trends or patterns in complex data sets.
- Experience in data migration to Cloud (Azure).
- Familiarity and experience with creating analytical data sets.
- Proven working experience as a Data Analyst and Data Modeller.
- Technical expertise regarding data models, database design development, data mining, and segmentation techniques.
- Adept at queries, report writing, and presenting findings.
- 5+ years experience working with large volumes of data (structured and unstructured). Investigate and perform deeper analysis to produce impactful algorithms to achieve targeted outcomes.
- Strong SQL skills, knowledge of RDBMS and Data lake concepts with hands-on experience in SQL Server, Azure Synapse, Azure data lake, and Postgres.
- Strong knowledge of data warehousing architecture, data mining methodologies, and business intelligence.
- Knowledge of data processing languages, such as SQL, Python, or Scala.
We offer a Flexible Work Program that provides you the ability to work three days onsite per week, between our Mississauga and downtown Toronto office.
- Employee discounts on furniture, electronics, and appliances.
Health and Lifestyle:
- Enjoy company-paid volunteer days to give back to the community.
- Access 24/7 healthcare with Virtual Doctor Appointments.
- Personalize your benefits with a flexible modular benefits package.
- Stay fit and energized with exclusive access to our on-site private gym at our head office.
- Internal development training programs and platforms including job-specific training, career coaching, leadership excellence, mentorship, and many others.
- Enjoy a state-of-the-art office space with perks like a games room, a healthy snack program, a fitness studio, free gated parking, and more
Diversity, Inclusion, and Equal Opportunity Employment:
At goeasy, we believe that we can only be the best when people are able to bring their best selves to work every day. As an equal opportunity employer, we are committed to providing accommodations for applicants upon request at any stage of the recruitment process in accordance with all legislative requirements throughout Canada. p>
Additional Information:
All candidates considered for hire must successfully pass a criminal background check, credit check, and validation of their work experience to qualify for hire.
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