Senior Analyst- Data Analysis

Nezda Technologies, Inc.; Muntinlupa; Hybrid; PHP 400,000 - 700,000; Full time

Job summary

Nezda Technologies, Inc. is seeking a Data Analyst to develop, maintain, and optimize data solutions that address business problems in a risk-focused environment.

You will craft dynamic reporting, analytics, and automation to support real-time risk management and operational efficiency. You will collaborate with business teams to translate needs into dashboards and metrics, explore new technologies, and ensure data quality across data warehouses and unstructured sources.

Qualifications

• Bachelor's degree in a quantitative field is required.
• At least 2 years of experience performing data analytics.
• At least 1 year of scripting experience.
• At least 1 year of experience with a BI visualization tool.
• At least 1 year of querying and analyzing data languages and platforms.
• Experience with data in warehouses/SQL and unstructured data.
• Experience with AWS services.

Responsibilities

• Mine data from diverse sources using Open Source/Digital technologies.
• Build data solutions and self-service capabilities for data consumers.
• Explore new technologies to progress initiatives and deliver insights.
• Translate business needs into tools, metrics, and dashboards for insights.
• Drive analyses that inform business strategies and decisions.
• Ensure data quality management, including metadata, lineage, and definitions.
• Collaborate with Tech teams to manage data access governance and security.
• Build and run tools to monitor and report data quality.

Skills

Data analytics

Scripting

Analytical thinking

Education

Bachelor's degree in quantitative field

Tools

SQL

Python

AWS

Job description

About the role

As a Data Analyst, this role will leverage analytic and technical skills to innovate, build, and maintain well-managed data solutions and capabilities to tackle business problems. The role offers a unique opportunity to apply data-driven solutions in a fast-paced, risk-focused environment. You will develop dynamic reporting, advanced analytics, and automation to provide real-time risk management and drive efficiency. Leveraging cutting-edge technologies and innovative data practices, this role will play a key role in strengthening risk management strategies.

Key responsibilities

• Use Open Source/Digital technologies to mine complex, voluminous, and different varieties of data sources and platforms

• Build well-managed data solutions, tools, and capabilities to enable self-service frameworks for data consumers

• Demonstrate ability to explore and quickly grasp new technologies to progress varied initiatives

• Partner with the business to provide consultancy and translate the business needs to design and develop tools, techniques, metrics, and dashboards for insights and data visualization

• Drive analysis that provides meaningful insights on business strategies

• Drive an understanding and adherence to the principles of data quality management including metadata, lineage, and business definitions

• Work collaboratively with appropriate Tech teams to manage security mechanisms and data access governance

• Build and execute tools to monitor and report on data quality

About you

• Bachelor's Degree in quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science or a related quantitative field)

• At least 2 years of experience performing data analytics

• At least 1 year of experience working with at least one scripting language

• At least 1 year of experience utilizing a business intelligence visualization tool

• At least 1 year of experience in querying and analyzing and working with data languages and platforms

• Strong desire and experience with data in various forms (data warehouses/SQL, unstructured data)

• Experience utilizing and developing within AWS services

• Amenable to work in a hybrid set up in Alabang, Muntinlupa; predominantly work from home

• Amenable to work in the mid shift schedule