Background

RLDatix is on a global mission to improve safety in healthcare. We are innovating the most comprehensive healthcare operations platform, connecting operational processes, and delivering new data insights for improved decision-making. Our solution, the Healthcare Operations Cloud, will help shape the future of healthcare by enabling higher quality, lower costs, and greater access to care.

At RLDatix we’re making healthcare safer, together. Our shared passion for meaningful work drives us, while a supportive, respectful culture makes it all possible. As a team, we collaborate globally to reach our ultimate goal—helping people

What You Will Do:

The "Data Analyst" will report to the Client Support Manager and will primarily join our Support team to assist users by interpreting data and transforming it into valuable insights that drive decision-making and strategy for all RLD products. This role involves working directly with customers and partners, as well as liaising with internal stakeholders, to understand business needs and develop data models that facilitate operational analysis and informed decision-making.

A crucial part of the role is to being able to:

- Data Collection and Cleaning:

· Gather data from various sources, including databases, spreadsheets, and external data sources.

· Clean and preprocess data to ensure accuracy and completeness.

- Data Analysis:

· Use statistical tools and software (such as SQL, MySQL, Excel, Python, R) to analyze data sets.

· Identify trends, patterns, and anomalies in the data.

- Reporting and Visualization:

· Create reports, dashboards, and visualizations (using tools like Tableau, Power BI, Yellowfin …etc.) to present data insights.

· Communicate findings to stakeholders in a clear and concise manner.

· Help Customer Creating Reports in the offered Solution (RLDatix Applications)

- Collaboration:

· Work closely with other departments (e.g., marketing, finance, operations) to understand their data needs and provide actionable insights.

· Collaborate with data scientists, data engineers, and IT staff to improve data infrastructure and processes.

- Problem-Solving:

· Identify and address business problems using data-driven approaches.

· Develop predictive models and algorithms to support decision-making.

- Key Skills:

o Technical Skills:

· Proficiency in data analysis tools (Excel, SQL, MySQL, Python, R).

· Experience with data visualization tools (Tableau, Power BI, Yellowfin).

· Knowledge of statistical methods and data modeling.

o Analytical Skills:

· Strong problem-solving abilities.

· Attention to detail and a knack for identifying trends and patterns.

o Communication Skills:

· Ability to present complex data insights in an understandable and actionable manner.

· Strong written and verbal communication skills.

o Business Acumen:

· Understanding of business operations and strategy.

· Help to translate data insights into business recommendations.

- Education and Experience:

• A bachelor’s degree in a related field (e.g., mathematics, statistics, computer science, economics, finance, healthcare information system, any other related degree).
• 1-2 years of relevant experience in data analysis, business intelligence, or a related field.
• Certifications or training in data analytics can be advantageous.

By enabling flexibility in how we work and prioritizing employee wellness, we empower our team to do and be their best. Key benefits include private health and group accident insurance, an Employee Assistance Program (EAP) for confidential support, and Loyalty Awards for long-service employees.

RLDatix is an equal opportunity employer, and our employment decisions are made without regard to race, color, religion, age, gender, national origin, disability, handicap, marital status or any other status or condition protected by law.

As part of RLDatix’s commitment to the inclusion of all qualified individuals, we ensure that persons with disabilities are provided reasonable accommodation in the job application and interview process. If reasonable accommodation is needed to participate in either step, please don’t hesitate to send a note to accessibility@rldatix.com.

Salary offers are based on a wide range of factors including location, relevant skills, training, experience, education, and, where applicable, licensure or certifications obtained. Market and organizational factors are also taken into consideration.