Data Analyst

Makati, National Capital Region
Posted yesterday
Company:
Nityo Infotech Services Philippines Inc.
Company Description:
Nityo is a global provider of IT services and end-to-end solutions designed to help clients improve their competitiveness and efficiency. Nityo has operations in 11 countries across the Globe (North America, Canada, United Kingdom, South Africa, Australia, Japan, Singapore, India, Malaysia, Thailand and Philippines). Its portfolio of solutions and services would include: Outsourcing; System Integration; Application Software Development; Consulting; Quality Assurance and Training. Nityo provides services to several local and multinational clients including those coming from Fortune-Global 1000 companies on Commercial, Industrial and Government sectors with key vertical markets such as: financial, life sciences, healthcare, telecommunications, utilities and independent software vendors.
Contract Type:
Full Time
Experience Required:
5 to 10 years
Education Level:
Bachelor’s Degree
Number of vacancies:
2

Job Description

Location: Makati (Onsite)
Schedule: Permanent Nightshift (usually starts at 9 pm or 10 pm)

PRIMARY SKILL: SQL Database
SECONDARY SKILL: MS Office

RESPONSIBILITIES
— Collect, clean, and interpret data sets to identify trends and patterns.
— Develop and implement databases, data collection systems, data analytics, and other strategies that optimize statistical efficiency and quality.
— Acquire data from primary or secondary data sources and maintain databases/data systems.
— Identify, analyze, and interpret trends or patterns in complex data sets.
— Filter and “clean” data by reviewing computer reports, printouts, and performance indicators to locate and correct code problems.
— Work with management to prioritize business and information needs.
— Locate and define new process improvement opportunities.
— Prepare reports for executive leadership that effectively communicate trends, patterns, and predictions using relevant data.

KEY SKILLS
— Strong background in Analyzing business data and looking for patterns and trends that can be used for descriptive and prescriptive analysis and answer specific business questions out of massive business transactional and master data stored in very complex data models
— Working with Product Owners, programmers, Data Architect, Engineers, and organizational leaders to identify opportunities to understand the business data, business definitions and enterprise data governance standards.
— Very strong SQL skills to query, integrate and transform the data from various sources to meet very complex custom ad-hoc data and KPI requirements from the business users.
— Solid experience working knowledge and very advanced skills of using Excel features like Pivot tables to prepare custom data delivery to the business users.
— Creating documentation that allows stakeholders to understand the data analysis process and key findings

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