Senior Data Analyst

Nezda Technologies, Inc.; Calabarzon; On-site; PHP 600,000 - 900,000; Full time

Job summary

Nezda Technologies, Inc. seeks a Senior Analyst, Data Analysis to design, develop, and maintain data solutions that empower business teams with actionable insights. You will work with large data sources, build dashboards, and support data quality initiatives.

The role requires translating business needs into analytics, strong analytical abilities, and collaboration with tech teams on data security and governance. Ideal candidates will have hands-on BI, SQL, and data storytelling skills.

Qualifications

• Bachelor’s degree in a quantitative field such as Statistics, Economics, Operations Research, Analytics, Mathematics or Computer Science.
• At least 2 years of experience in data analytics.
• At least 1 year of experience using a scripting language.
• At least 1 year of experience with business intelligence visualization tools.
• At least 1 year of experience querying, analyzing, and working with data languages/platforms.

Responsibilities

• Mine and analyze complex, high-volume, and diverse data sources using open-source and digital technologies.
• Build and maintain data solutions, tools, and self-service analytics capabilities.
• Develop dashboards, reporting tools, metrics, and data visualization solutions.
• Partner with business teams to translate requirements into analytics solutions.
• Provide insights that support business strategies and risk management initiatives.
• Apply data quality management principles, including metadata, lineage, and business definitions.
• Collaborate with technology teams on data security mechanisms and access governance.
• Build tools to monitor and report data quality.

Skills

2 years data analytics

Scripting language

BI visualization tools

Data languages/platforms

Education

Bachelor’s Degree in quantitative field

Job description

As a Senior Analyst, Data Analysis, you will design, develop, and maintain data solutions that help business teams make informed decisions. You will work with large and diverse data sources, develop reporting solutions, create dashboards, and support data quality initiatives.

This role requires strong analytical skills, technical capability, and the ability to translate business needs into actionable data insights.

Key Responsibilities

• Mine and analyze complex, high-volume, and diverse data sources using open-source and digital technologies.
• Build and maintain data solutions, tools, and self-service analytics capabilities.
• Develop dashboards, reporting tools, metrics, and data visualization solutions.
• Partner with business teams to translate requirements into analytics solutions.
• Provide insights that support business strategies and risk management initiatives.
• Apply data quality management principles, including metadata, lineage, and business definitions.
• Collaborate with technology teams on data security mechanisms and access governance.
• Build tools to monitor and report data quality.

Must-Have Qualifications

• Bachelor’s Degree in a quantitative field such as:
• Statistics
• Economics
• Operations Research
• Analytics
• Mathematics
• Computer Science
• At least 2 years of experience in data analytics.
• At least 1 year of experience using a scripting language.
• At least 1 year of experience with business intelligence visualization tools.
• At least 1 year of experience querying, analyzing, and working with data languages/platforms.
• Experience working with SQL/data warehouses and unstructured data.

Good-to-Have Qualifications

• Master’s Degree in a Science, Technology, Engineering, or Mathematics discipline.
• Experience with Agile, Lean, Six Sigma, or other process improvement methodologies.
• Experience with data governance, data quality management concepts, and data quality tools such as Informatica DQ.
• Experience building and supporting data quality solutions.