Data Analyst (Tableau)

HRTX; Mandaluyong; On-site; PHP 420,000 - 780,000; Full time

Job summary

HRTX is seeking a data analyst to support data analytics and reporting across operations including manufacturing, customer care, clinical operations, and revenue cycle management. The ideal candidate will be a self-starter with a high level of curiosity, an analytical mindset, a desire to move fast and do big things, and the ability to recommend possible solutions to analytical needs.

The role requires 3+ years of data mining experience, advanced Excel, and proficiency in Tableau; familiarity

Qualifications

• Bachelor's degree in math/CS/economics/statistics.
• 3+ years of data mining experience as a data analyst.
• Strong analytics, including mining, evaluation, and visualization.
• Experience with technical writing (queries, reports, presentations).
• Advanced Excel skills; ability to learn other analytics tools.
• Proficiency with Tableau.
• Familiarity with Snowflake is a big plus.

Responsibilities

• Collaborate with Business Analytics to gather requirements and build relationships.
• Gather, analyze, and interpret data to aid business units and improve operations.
• Develop and visualize data in clear formats (diagrams, graphs).
• Clean and validate data; fix errors, duplicates, and outliers.
• Identify process inefficiencies and suggest improvements.
• Work with cross-functional teams to standardize workflows.
• Identify trends and opportunities from complex datasets.
• Provide mappings and information-model specs for datasets.
• Create best-practice reports from data mining and visualization.
• Evaluate internal systems for efficiency and maintain data protocols.
• Proactively analyze data to answer key stakeholder questions.

Skills

Analytical mindset

Data mining

Data analysis

Technical writing

Advanced Excel

Confidentiality

Education

Bachelor's degree in mathematics, computer science, economics, or statistics

Tools

Tableau

Snowflake

Job description

This role will support all aspects of data analytics & reporting requirements related to operational needs, including manufacturing, customer care, clinical operations, and revenue cycle management. The ideal candidate will be a self-starter with a high level of curiosity, an analytical mindset, a desire to move fast and do big things, and the ability to recommend possible solutions to analytical needs.

Key Responsibilities:

• Collaborate with the Business Analytics team to gather requirements, provide status updates, and build relationships
• Gather, analyze, and interpret data to help supported business units solve problems and allow for operational process improvements.
• Use tools and techniques to develop and visualize data in easy-to-understand formats, such as diagrams and graphs
• Data Cleaning and Validation: Ensure data quality by fixing errors, duplicates, and outliers while ensuring the accuracy of the data
• Process Improvement: Identify process inefficiencies and recommend improvements to streamline operations
• Collaborate with cross-functional teams to implement best practices and standardize workflows.
• Identify trends and opportunities for growth through analysis of complex datasets
• Evaluate organizational methods and provide source-to-target mappings and information-model specification documents for datasets
• Create best-practice reports based on data mining, analysis, and visualization
• Evaluate internal systems for efficiency, problems, and inaccuracies, and develop and maintain protocols for handling, processing, and cleaning data
• Proactively analyze data to address key questions for stakeholders and yourself, focusing on what drives business performance.
• Investigate and communicate which areas require improvement in efficiency and productivity.

Qualification

• Bachelors degree (or equivalent) in mathematics, computer science, economics, or statistics
• Three or more years of experience mining data as a data analyst
• Proven analytics skills, including mining, evaluation, and visualization
• Technical writing experience in relevant areas, including queries, reports, and presentations
• Advanced Excel Skills, with aptitude for learning other analytics tools
• Proficiency in Tableau.
• Ability to maintain confidentiality based on access to proprietary financial, operational, and competitive information.
• Familiarity with data warehouse systems, specifically Snowflake, is a huge plus.