Senior Data Insights Analyst: Dashboards & Quality

Nezda Technologies, Inc.; Calabarzon; On-site; PHP 700,000 - 1,100,000; Full time

Job summary

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

The role requires strong analytical skills, technical capability, and the ability to translate business needs into data-driven decisions. Collaboration with multiple teams is essential for success.

Qualifications

• 2+ years of experience in data analytics.
• At least 1 year of experience with a scripting language.
• At least 1 year of experience with BI visualization tools.
• At least 1 year of experience querying, analysing, and working with data languages/platforms.
• Experience with SQL, data warehouses and unstructured data.

Responsibilities

• Mine and analyze complex, high-volume, diverse data sources.
• 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.
• Apply data quality management principles, including metadata, lineage, and definitions.
• Collaborate with technology teams on data security and access governance.
• Build tools to monitor and report data quality.

Skills

Data analytics

Scripting language

BI visualization tools

Data languages/platforms

SQL and data warehouses

Unstructured data handling

Education

Bachelor’s Degree in a quantitative field

Master’s Degree in STEM (good-to-have)

Tools

Informatica DQ

Job description

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

The role requires strong analytical skills, technical capability, and the ability to translate business needs into data-driven decisions. Collaboration with multiple teams is essential for success.