Data Quality Analyst

3 days ago

Markham, Canada Sentrex Distribution Inc. Full time

**Position Type**:Full Time

**Department**:IT

**Work Location**: Canada

**Work Arrangement**: Hybrid

**Work Hours**:Monday to Friday, 8-hour shifts

A proudly Canadian company, Sentrex Health Solutions is a fully integrated specialty distributor and patient support provider for pharmaceutical manufacturers, physicians, and their patients. We provide innovative solutions focused on ensuring patients have access and the support they need to maximize their treatment outcomes. We do this through strategic distribution models and patient support programs that are backed by powerful, integrated technology and experienced, cross-functional teams. Our core capabilities include **Specialty Pharmacy Services, Customized Solutions for Warehouse, Wholesale & Distribution, Patient Support Programs, as well as HCP & Clinic Services.**

**Come and join our team But first, let us tell you why we love working here**:

- We are 100% Canadian with locations across the country
- State-of-the-art facilities to provide high-quality products and services
- The opportunity to be a part of a winning, high-performing team
- Collaborative, engaging workplace culture - **we are passionate about our people**
- Flexible working environment that promotes a healthy work-life balance
- Diverse and inclusive culture where your talent and commitment to excellence is welcomed and valued
- High-growth environment that provides opportunities for learning and growth supported by our Employee Development Program and industry-leading, in-house corporate training offered throughout the year
- Quarterly virtual social events

**The Opportunity**:
**A Day in the Life (What you will do here)**:

- **Data Quality Assurance**:
- Monitor and maintain data quality standards across multiple datasets and data systems.
- Perform regular data profiling to identify discrepancies, anomalies, and potential areas for improvement.
- Proactively conduct data validation, cleansing, and enrichment tasks to ensure high-quality data is available for analysis and reporting.
- **Data Quality Reporting**:
- Develop and maintain reports on data quality metrics, trends, and performance indicators and provide insights and recommendations.
- Generate value add, intuitive dashboards to track and visualize data quality KPIs (e.g., accuracy, completeness, consistency).
- Proactively communicate data quality issues and progress toward resolution to relevant stakeholders.
- **Data Auditing**:
- Develop routine, scheduled audit data pipelines and databases for inconsistencies or errors.
- Assist in root cause analysis of data issues and work with stakeholders to implement corrective actions.
- **Collaboration & Communication**:
- Work closely with data engineers, business analysts, and other teams to understand data requirements and ensure data is properly formatted, accurate, and consistent.
- Participate in meetings with business and technical teams to identify data quality needs and contribute to the design and implementation of data quality frameworks.
- **Process Improvement**:
- Develop and refine data quality processes, tools, and best practices.
- Implement automated testing and validation processes to streamline data quality workflows.
- Recommend and implement process improvements to enhance the overall data quality strategy.
- **Data Governance**:
- Assist in the implementation and enforcement of data governance policies.
- Ensure compliance with data privacy regulations and internal data management policies.

**What you need to ensure you are set up for success**:

- Bachelor's degree in Computer Science, Information Technology, or a related field (or equivalent work experience).
- 3+ years of experience in a data quality or data management role.
- Strong understanding of data quality concepts, including accuracy, consistency, completeness, timeliness, and reliability.
- Experience working with data quality tools (e.g., Talend, Informatica, DataFlux, etc.) or data validation frameworks.
- Proficiency in SQL for querying and analyzing large datasets.
- Knowledge of data profiling techniques and data quality metrics.
- Strong analytical, problem-solving, and troubleshooting skills.
- Ability to work independently and collaboratively in a fast-paced environment.
- Pharmaceutical industry experience an asset.
- Familiarity with data governance frameworks and practices.
- Experience with programming languages (Python, R, etc.) for data analysis and automation.
- Familiarity with data warehousing concepts and tools (e.g., Azure, DataBricks, etc.).
- Knowledge of data visualization tools (, Power BI) for reporting and dashboard creation.
- Experience with cloud platforms (e.g., AWS, Azure) and their data services.
- Detail-oriented with a passion for data accuracy and consistency.
- Excellent communication skills, both written and verbal.
- Proactive, self-driven, and able to handle multiple tasks simultaneously.
- Strong collaboration skills and ability to work with cr

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