Data Specialist

About the Role

The Data Specialist in the Health Care and Social Assistance industry plays a critical role in transforming raw data into actionable insights that drive organizational performance and patient outcomes. This position focuses on developing and maintaining KPI dashboards that provide real-time visibility into key metrics, enabling data-driven decision-making across departments.

The role involves automating data collection and reporting processes to improve efficiency and accuracy, reducing manual effort and minimizing errors. The Data Specialist will also be responsible for scripting in Python to manipulate and analyze complex datasets, ensuring data integrity and quality control throughout.

Ultimately, this role supports strategic initiatives by delivering reliable, timely, and insightful data solutions that enhance operational effectiveness and service quality.

Minimum Qualifications

Bachelor’s degree in Data Science, Computer Science, Health Informatics, or a related field. Proven experience working with SQL databases to query and manage large datasets. Demonstrated proficiency in Python scripting for data manipulation and automation. Experience creating and managing KPI dashboards using tools such as Tableau, Power BI, or equivalent.

Strong understanding of data quality control principles and best practices.

Preferred Qualifications

Master’s degree in a relevant discipline such as Public Health, Data Analytics, or Health Information Management. Experience in the health care or social assistance sector with familiarity of industry-specific data standards and regulations. Knowledge of advanced statistical analysis and machine learning techniques. Certification in data analytics or business intelligence tools.

Familiarity with cloud-based data platforms and automation frameworks.

Responsibilities

Design, develop, and maintain interactive KPI dashboards to monitor health care performance metrics and social assistance program outcomes. Automate data extraction, transformation, and loading (ETL) processes to streamline reporting workflows and improve data accuracy. Write and optimize Python scripts for data analysis, cleansing, and integration from multiple sources including SQL databases.

Conduct rigorous quality control checks to validate data consistency, completeness, and reliability before dissemination. Collaborate with cross-functional teams including clinical staff, administrators, and IT to understand data needs and deliver tailored solutions. Skills: The required skills are integral to the daily responsibilities of the Data Specialist, enabling efficient data management and insightful reporting.

Proficiency in KPI dashboard development allows the specialist to visualize complex health care data clearly and effectively for stakeholders. Automation skills, combined with Python scripting, facilitate the creation of repeatable, error-resistant data workflows that save time and enhance accuracy. Expertise in SQL databases is essential for extracting and manipulating large volumes of structured data from multiple sources.

Quality control skills ensure that all data outputs meet rigorous standards, supporting trustworthy analysis and decision-making within the health care and social assistance environment.