Data Analytics Consultant

Cardinal Health; Taguig; On-site; PHP 1,000,000 - 1,800,000; Full time

Job summary

Cardinal Health in Taguig is seeking an experienced Data Analyst to lead exploratory and advanced analyses, design dashboards and analytical models, and translate business problems into actionable insights.

You will mentor junior analysts, collaborate with data engineering and governance teams, and promote analytics standards across the organization.

Qualifications

• 5–8+ years of Data Analyst experience.
• Expertise with BI tools such as PowerBI and Tableau.
• Hands-on experience with Databricks notebooks, workflows, Delta Lake, and data pipelines.
• Proficient in SQL and Python for data transformation and analytics.
• Experience designing and optimizing ETL/ELT in cloud environments.
• Knowledge of data modeling, governance, quality, and metadata management.
• Experience with large-scale structured/unstructured datasets.
• Strong analytical, problem-solving, and stakeholder communication skills.
• Advanced data analytics incl. descriptive, diagnostic, predictive, prescriptive.
• Strong data storytelling skills.
• Basic project & stakeholder management.

Responsibilities

• Lead exploratory and advanced data analysis.
• Design dashboards, KPIs, and analytical models.
• Translate business problems into analytical approaches.
• Mentor P1 and P2 data analysts.
• Partner with data engineering and governance teams.
• Promote analytics standards and best practices.
• Discuss and report findings to stakeholders.

Skills

5–8+ years of Data Analyst experience

PowerBI and Tableau

Databricks (notebooks, workflows,Delta

SQL

Python

ETL/ELT design in cloud environments

Data modeling

Data governance & quality principles

Data storytelling

Project management & stakeholder mgmt

Large-scale datasets handling

Tools

Databricks

Google Cloud / Azure / AWS

Tableau

Power BI

Job description

Key Responsibilities

• Lead exploratory and advanced data analysis
• Design complex dashboards, KPIs, and analytical models
• Translating business problems into analytical approaches
• Mentor P1 and P2 data analysts
• Partner with data engineering and governance teams
• Promote analytics standards and best practices
• Discuss and report data analysis results and findings to different levels of stakeholders

Scope & Complexity

• Works with large, multi-source, or complex datasets
• Supports strategic and high-impact decisions
• Influences analytics direction and standards

Required Experience & Skills

• 5–8+ years of Data Analyst experience
• Expertise in using Business Intelligence tools such as PowerBI and Tableau
• Hands‑on experience with Databricks, including notebooks, workflows, Delta Lake, and data pipelines.
• Strong proficiency in SQL and Python for data transformation, automation, and analytics.
• Experience designing and optimizing ETL/ELT processes in cloud‑based data environments.
• Knowledge of data modeling, data governance, data quality, and metadata management principles.
• Experience working with large‑scale structured and unstructured datasets.
• Strong analytical, problem‑solving, and stakeholder communication skills.
• Intermediate to Advanced Data Analytics (Descriptive, Diagnostic Analysis, Predictive and Prescriptive Analysis)
• Strong data storytelling skills
• Basic project management and stakeholder management skills

Preferred Qualifications

• Databricks certifications (Databricks Fundamentals, Associate Data Engineer, Data Analyst, or equivalent).
• Experience with Lakehouse architecture, Medallion (Bronze, Silver, Gold) data models, and Delta Lake.
• Experience with Databricks Lakeflow, AI/BI, or data orchestration tools.
• Knowledge of Unity Catalog and enterprise data governance frameworks.
• Experience with cloud platforms such as Google Cloud Platform (GCP), Azure, or AWS.
• Experience integrating Databricks with reporting and visualization tools such as Tableau, Power BI, Looker, or Business Objects.
• Familiarity with AI, machine learning, or advanced analytics use cases.

Key Competencies

• Data Engineering & Data Management
• Cloud Data Platforms
• Data Governance & Quality Management
• Performance Optimization
• Business Intelligence & Analytics
• Automation & Process Improvement
• Cross‑functional Collaboration
• Agile Delivery & Continuous Improvement

Cardinal Health supports an inclusive workplace that values diversity of thought, experience and background. We celebrate the power of our differences to create better solutions for our customers by ensuring employees can be their authentic selves each day.

Cardinal Health is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, ancestry, age, physical or mental disability, sex, sexual orientation, gender identity/expression, pregnancy, veteran status, marital status, creed, status with regard to public assistance, genetic status or any other status protected by federal, state or local law.

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Headquartered in Dublin, Ohio, Cardinal Health, Inc. (NYSE: CAH) is a distributor of pharmaceuticals, a global manufacturer and distributor of medical and laboratory products, and a provider of performance and data solutions for healthcare facilities. We are a crucial link between the clinical and operational sides of healthcare, delivering end‑to‑end solutions and data‑driving insights that advance healthcare and improve lives every day. With deep partnerships, diverse perspectives and innovative digital solutions, we build connections across the continuum of care. With more than 50 years of experience, we seize the opportunity to address healthcare's most complicated challenges — now, and in the future.