About the role

The Data Analyst Consultant is responsible for gathering and interpreting complex data to provide actionable insights for business decision-making. This includes developing statistical models, creating dashboards, and collaborating with cross-functional teams to optimize operational efficiency.

What they look for

SQL Excel Python R Power BI Tableau Data Visualization Statistical Modeling Machine Learning Predictive Analytics Data Cleaning KPI Monitoring

Requirements

Candidates should be proficient in data tools such as SQL, Python, R, and Power BI to handle large datasets and predictive modeling. The role requires the ability to translate complex data findings into clear recommendations for both technical and non-technical stakeholders.

Full description

MediCard Phils., Inc. is one of the country's leading HMO and the only HMO founded and run by Doctors. Since its inception, the concept of service-oriented total health care has been the molding ideal of MediCard. The competition is vast, and the benefits being offered by the competitors are tempting. However, MEDICard has taken the lead in providing innovative and productive ideas that cut down the cost of health maintenance without compromising its quality.

MediCard now boasts of more than half a million members and over 54,000 accredited doctors in over 1,000 hospitals and clinics nationwide. It also operates 16 MediCard free-standing clinics that provide services at par with those offered by hospitals minus the confinement.

MediCard is currently looking for assertive, dynamic and energetic individuals to fill up the following vacancy:

The Data Analyst Consultant will be responsible for gathering, analyzing, and interpreting complex data to support business decision-making. Utilizing a variety of tools, including SQL, Excel, Python, R, and data visualization platforms like Power BI, the role will provide actionable insights that drive business strategies, optimize processes, and improve operational efficiency. The Data Analyst will collaborate with cross-functional teams to identify trends, monitor key performance indicators (KPIs), and deliver data-driven recommendations that support organizational goals and enhance overall performance.

Data Collection & Preparation Gather and organize data from internal systems and external sources, ensuring relevance and completeness. Clean, preprocess, and transform raw data into usable formats for analysis. Collaborate with stakeholders to define data requirements and ensure alignment with business objectives.

Data Analysis & Interpretation Analyze large datasets to identify trends, patterns, and correlations. Generate actionable insights to support business decisions, improve processes, and optimize performance. Conduct exploratory analysis and identify key metrics for reporting and performance tracking.

Statistical & Predictive Modeling Develop and apply statistical models, machine learning algorithms, and predictive analytics to solve business problems. Validate and optimize models to improve forecasting accuracy and decision-making.

Data Visualization & Reporting Create and maintain dashboards, visualizations, and reports using tools like Power BI, Tableau, or similar. Present complex data findings in clear and actionable formats for both technical and non-technical audiences.

Collaboration & Stakeholder Engagement Work closely with business teams to understand their data needs and translate them into analytical solutions. Provide insights and recommendations to business leaders and stakeholders through presentations and reports.

Process Improvement & Automation Identify opportunities to automate data workflows and reporting processes for greater efficiency. Streamline data collection, processing, and analysis to reduce time-to-insight.

Quality Assurance & Compliance Ensure data accuracy, integrity, and compliance with company policies and industry regulations. Maintain documentation of data methodologies, processes, and models for transparency and future reference.You must provide all requested information, including Personal Data, to be considered for this career opportunity. Failure to provide such information may influence the processing and outcome of your application. You are responsible for ensuring that the information you submit is accurate and up-to-date.