Data Specialist

Serenity Home Health Care Agency LLC; Niles (IL); On-site; USD 34,000 - 39,000; Full time

Job summary

Serenity Home Health Care Agency LLC seeks a Data Specialist in Niles, IL to transform raw data into actionable insights and drive patient outcomes.

You will design KPI dashboards, automate ETL, and write Python scripts to integrate data from SQL databases, ensuring data quality and timely reporting for organizational performance.

Qualifications

• Bachelor’s degree or higher in a related field
• Experience with SQL databases and large datasets
• Proficiency in Python for data manipulation and automation
• Experience creating KPI dashboards with Tableau/Power BI
• Understanding of data quality assurance best practices

Responsibilities

• Design, develop, and maintain KPI dashboards to monitor health care performance and program outcomes
• Automate ETL processes to streamline reporting and improve accuracy
• Write and optimize Python scripts for data analysis and integration from multiple sources including SQL databases
• Perform rigorous data quality checks to ensure consistency and reliability
• Collaborate with clinical staff, administrators, and IT to understand data needs and deliver tailored solutions

Skills

KPI dashboards

Python scripting

SQL databases

Data quality control

Automation

Education

Bachelor’s degree in Data Science/CS/Health Informatics

Master’s degree in Public Health/Data Analytics/Health Information Management

Tools

Tableau

Power BI

Job description

If you are unable to complete this application due to a disability, contact this employer to ask for an accommodation or an alternative application process.

Data Specialist

Full Time Niles, IL, US

7 days ago Requisition ID: 1091

Salary Range: $25.00 To $28.00 Hourly

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.