Founded in 1987, Questronix Corporation has grown to be one of the largest IT solution provider and systems integrator in the Philippines. We offer best of breed solutions from IT infrastructure to business applications, built on world class technology companies and supported by our certified technical team with proven Filipino expertise and skills available in the country today.

In 1990, Questronix was appointed by IBM as its first business partner for IBM UNIX platform and the company evolved in providing end-to-end solutions that run on IBM technology. After a decade of investment, skills and commitment in working with IBM, Questronix was awarded the Premier Business Partner status, making our company the first Business Partner in the country to be elevated to this exclusive circle.

Our methodology on selecting our technology partners and implementation team for our services ecosystem allows us to deliver consulting-led systems integration focused on open standards, interoperability and proven best practices that result in higher project success rates.

Today, Questronix’s solutions suite include Data Center & IT infrastructure, IT Service Management, Security, Business Continuity, Hybrid Cloud Solutions, Mobility Solutions, Enterprise Resource Planning, Business Analytics, Enterprise Asset Management, Enterprise Content Management, Information and Data Management, Business Process Management and Industry Specific Solutions.

Approaching its 34th year in business, Questronix Corporation continuously strives to improve and evolve coupled by its enduring drive to deliver Filipino excellence and workmanship to its clients. As such, it has earned prestigious awards and recognitions – a proud testimony to its achievements that have firmly etched its name in the IT corporate landscape.

Questronix Corporation

The Data Analyst participates in the identification of business challenges and opportunities through analytics and implementation of innovative solutions to drive enhanced customer experience, revenue growth and process efficiencies supporting digital transformation.

<ul>
	<li>Implement analytical framework leveraging big data.</li>
	<li>Partner with the business in defining the business problem, test design, sizing customer and financial impact, analyzing test results and recommending rollout.</li>
	<li>Apply statistical algorithms and analysis in developing Solutions and Models to guide business in making and implementing decisions.</li>
	<li>Effectively communicating your insights and recommended solutions to cross-functional team and business stakeholders based on data driven analysis.</li>
	<li>Partner with cross-functional team in developing and implementing recommendations from data driven solutions and insights to ensure accurate implementation of targeting parameters and setup of feedback or tracking process.</li>
	<li>Assists Data Engineering in identifying and gathering internal and alternative data sources to build the Data Lake and Datamart.</li>
</ul>

Data Analyst

It is a multi-national company with operations in Singapore, Malaysia, Thailand and other countries in Asia. Gardenia Phils. began its operations in 1998 with a state-of-the-art bread factory rated as one of the most modern large-scale bread manufacturing facilities in the country.

Gardenia Bakeries Phils., Inc.

<ul>
	<li>Analyze new and existing data sources to enhance design, improve performance efficiency, and prevent logical errors.</li>
	<li>Design, develop, maintain, and support dashboards and visualizations using tools like Tableau and Power BI.</li>
	<li>Create and maintain data dictionaries, ensuring standard definitions that are easily understood across the organization.</li>
	<li>Troubleshoot and maintain Tableau products, including Tableau Desktop and Server.</li>
	<li>Act as the Subject Matter Expert (SME) for Tableau, providing training, addressing issues, and recommending improvements.</li>
	<li>Collaborate with end-users to gather and analyze reporting requirements.</li>
	<li>Conduct testing and data quality checks to ensure accuracy and reliability of data sources and visualization outputs.</li>
	<li>Propose and implement changes to the existing data warehouse structure to meet business needs while ensuring data integrity.</li>
	<li>Perform other tasks as assigned by the immediate superior, contributing to the effective implementation of projects</li>
</ul>

Job Description:

<ul>
	<li>Design, develop, and maintain logical and physical data models to support digital banking services, including real-time payments, onboarding/KYC processes, risk scoring, and customer 360 profiling. </li>
	<li>Collaborate with Product Owners, Data Engineers, Business Analysts, and Compliance teams to translate regulatory and operational requirements into effective data structures. </li>
	<li>Ensure data models support compliance with BSP Circulars (e.g., 1080 on data governance, 1122 on operational resilience), AML/KYC requirements, and consumer protection regulations. </li>
	<li>Work closely with data warehousing and business intelligence teams to support the development of dashboards and analytics for business reporting, regulatory submissions, and marketing automation. </li>
	<li>Perform data normalization, standardization, and deduplication to ensure data quality and minimize redundancy across systems (e.g., core banking, CRM, loan management, e-wallet). </li>
	<li>Participate in the data governance council, supporting metadata management, data cataloging, and lineage tracking. </li>
	<li>Evaluate and recommend data modeling tools and methodologies compatible with cloud-native environments such as AWS, Azure, or GCP, commonly used in digital banks. </li>
	<li>Serve as a liaison between technical and non-technical stakeholders to ensure data models are both technically sound and business-aligned. </li>
</ul>

Data Modeler

2X is the global leader in B2B marketing as a service (MaaS), a subscription-based alternative to traditional B2B marketing delivery models. Offering AI-enabled B2B marketing talent and strategic consulting, 2X allows marketing leaders to accelerate growth in today’s resource-constrained environment and to deliver measurable results without increasing budgets. 

Founded in 2017 by three former CMOs from major global corporations, our mission at 2X is to improve marketing performance with powerful, data-driven campaigns that help businesses create more visibility, generate leads, and increase competitive advantage—twice as fast, and with double the impact. 

2X is composed of world-class marketing strategists, developers, analysts, designers and writers who work together to build, run, and optimize marketing. Our company is growing fast, and we’re looking for the best talent to join our pioneering MaaS team. 

2x (Formerly StraightArrow Corporation)

The Data Analyst is responsible for gathering and analyzing data from a variety of sources to identify trends in market performance, customer behavior, and the effectiveness of marketing campaigns. This involves using statistical tools and methods to process and interpret large dataset and using BI platforms to create visualizations comprehensible to a broad audience. They collaborate closely with the marketing team and other functions to convert raw data into valuable insights that drive key business decisions.

Key Accountabilities and Responsibilities:

<ul>
	<li>Database Management: Ensure the overall health of the database, including improving and maintaining data accuracy and relevance, managing data imports and ensuring the uniqueness of records within the CRM, and implementing logical and strategic segmentation.</li>
	<li>ABM Research: Create account dossiers through the gathering of insights and data about target accounts to inform and personalize marketing/sales strategies and tactics.</li>
	<li>Reporting and Visualization: Create reports and dashboards to visualize data insights and present findings to stakeholders, helping them make informed decisions.</li>
	<li>Data Analysis: Analyze large datasets to identify trends, patterns, and insights that can inform marketing strategies.</li>
	<li>Stakeholder Management: Understand, engage, and influence stakeholders to ensure their needs are addressed, building a good rapport with stakeholders.</li>
	<li>Cross-Functional Collaboration: Work with MarOps, Campaigns, Design, and Content to analyze gaps and opportunities.</li>
	<li>Campaign Optimization: Collaborating with marketing teams to optimize campaigns based on data-driven insights, such as adjusting targeting strategies, refining messaging, or reallocating budget.</li>
	<li>People Management: Serve as a senior buddy to data associates, offering guidance and support to foster their learning and development.</li>
</ul>

<h3>Responsibilities:</h3>

<ul>
	<li>Develop and implement a comprehensive data strategy that aligns with the organization’s objectives and business goals.</li>
	<li>Design, develop, and maintain data models to ensure data accuracy, consistency, and efficiency.</li>
	<li>Oversee the selection, deployment, and management of database and data storage solutions.</li>
	<li>Establish data integration processes to facilitate seamless data flow between systems, applications, and databases.</li>
	<li>Define and enforce data governance policies, including data security, privacy, and compliance standards.</li>
	<li>Create and maintain comprehensive data documentation, including data dictionaries, data lineage, and metadata.</li>
	<li>Optimize data systems for performance, scalability, and reliability.</li>
	<li>Collaborate with cross-functional teams to identify and address their data needs, providing tailored solutions.</li>
	<li>Stay updated with emerging data technologies and evaluate their relevance and potential adoption for the organization.</li>
	<li>Provide guidance and mentorship to data professionals within the team.</li>
</ul>

Data Architect

Webcast Technologies, Inc. (WTI) is an Information and Technology company known for innovation and integrated positioning solutions with the use of Global Positioning System (GPS), Geographic Information System (GIS), and Telemetry System. Our services include GPS Tracking System, Software Development, Mobile Application Development, among others.

For over 20 years, WTI has been helping companies from different industries track their valuable assets. Some of our clients include Shell, Petron, Chevron, Unilever, Coca Cola, Maynilad, Cemex, LF Logistics and KFC.

WTI covers the whole Philippines with its main office located at 154 Panay Ave. Diliman, Quezon City and satellite offices in Laguna, Cebu, Cagayan De Oro and Davao.

The software and GPS Tracking System we develop are custom- designed to address our client’s specific business needs. At WTI, we put premium to quality service. Our team of outstanding professionals reflects the company’s standard in providing excellent work.

Webcast Technologies, Inc.

<ul>
	<li>Make quantitative or qualitative analysis on the data collected</li>
	<li>Collaborate with data researcher in data collection process</li>
	<li>Harness the value of all available data and present it in an easy and understandable manner</li>
	<li>Make us of latest and advanced data analytics tools to gather insight on the data</li>
	<li>Consolidate findings and present the finding through the use of data visualization tools like dashboard</li>
	<li>Coordinate with other WTI Personnel in interpreting the results of the data and in preparing the report</li>
</ul>

Lately, everything needs analytics, and LENA is a Philippine start-up that provides just that. We provide personalized end-to-end data solutions to both leaders of industries and to SMEs that are looking for an edge -- whether that is in data collection, data storage, data analytics, AI, data science or data strategy! Our objective goes beyond delivering solutions, but to enable clients to appreciate, learn, and integrate data-driven techniques and analytics for their organizations.
As part of our goal to enable transformation through data, we are looking for future leaders who are looking to improve themselves, and are excited to shape individuals, organizations, and even societies. As a LENA employee, you will be both an analytical and creative engineer who is able to grasp user needs, work together to create impactful solutions, and communicate business outcomes.

LENA is the trade name of Twelve Baskets Analytics, Inc.

--- COMPANY VALUES ---
PASSION FOR LEARNING AND INNOVATION
We appreciate the fact that everyone knows something others do not and no one knows everything they need to know. We learn from ourselves and one another. We practice an attitude of teaching and learning to grow as a team.
We value the journey of finding new and better ways of doing things. We continuously develop works of quality and innovate better practices.

WE AS A TEAM
We promote smart ideas and good collaboration working as a team. We understand and accept the value of feedback, listening, and following. We manage and lead our work in a manner that benefits everyone. We initiate and participate in developing ourselves, our work, our customers, and our workplace.

ENGINEERING AND ENTREPRENEURSHIP
We believe that our work must create value for our customers and ourselves. We approach each day with the initiative to solve business problems smartly and to automate as much as we can.

LENA - Lately, Everything Needs Analytics

As a Data Analyst, you are responsible for deriving insights and action points from data for specific business use cases or contexts.

 

Tasks may include:

<ul>
	<li>Univariate Statistical Analysis</li>
	<li>Exploratory Data Analysis</li>
	<li>Data Visualization and Storytelling</li>
	<li>Statistical Modeling</li>
	<li>Regression Analysis</li>
	<li>Domain-related Analysis, i.e., Geospatial Analysis, Text Analysis, Timeseries Analysis, Market Basket Analysis, Etc.</li>
</ul>

Yondu is a Philippine-based IT solutions company owned by Globe Telecom. We empower businesses across various industries through a wide array of innovative technology solutions to help them scale in the new digital economy. Our mission is to create happier technological experiences by turning great ideas into excellent and valuable business solutions.
If you’re looking to advance your career in the IT industry, Yondu is the best place to be. You will be a part of a young, dynamic culture that always pursues innovation and growth. As a Yondude, you’ll gain fresh perspectives from a team of knowledgeable and competitive individuals and learn how to develop cutting-edge business solutions that go above and beyond. You’ll also enjoy collaborating with brilliant and fun people who are ready to take on the world.
Established in 2001, our company has grown exponentially, and we’re always on the lookout for highly skilled and competitive individuals to innovate and evolve with. If this sounds exciting for you, #BeAYondude, and leverage your expertise to help us achieve our ultimate goal of going above and beyond!
Join us and grow your career in the IT industry!

YONDU INC.

Job Description:

<ul>
	<li>Develop and maintain machine learning models</li>
	<li>Features Engineering and generation of Analytics Base Tables</li>
	<li>Test data model designs</li>
	<li>Tune Training and testing scripts to run in an efficient manner</li>
	<li>Data Management and Exploration.</li>
	<li>Data Analytics and Modeling:</li>
	<li>Campaign Expertise</li>
	<li>Knowledge Transfer and Collaboration</li>
</ul>

Data Scientist

Duties and Responsibilities 

<ul>
	<li>Design and build scalable big data infrastructure and solutions, leveraging available cloud resources</li>
	<li>Design, create and maintain ETL processes and data pipelines for functions such as but not limited to reporting and machine learning</li>
	<li>Collaborate with different cross functional teams to determine and satisfy business data requirements taking into account various technology stacks</li>
	<li>Optimize and automate existing current business processes and procedures</li>
	<li>Create and present ad hoc reports to key stakeholders</li>
</ul>

Data Engineer.

Job Description

<ul>
	<li>Analyze and organize raw data</li>
	<li>Build data systems and pipelines</li>
	<li>Evaluate business needs and objectives</li>
	<li>Combine raw information from different sources</li>
	<li>Explore ways to enhance data quality and reliability</li>
	<li>Identify opportunities for data acquisition</li>
	<li>Develop analytical tools and programs</li>
</ul>

Data Engineer

Data Analyst collects, analyzes, and interprets data to provide actionable insights that help businesses make better decisions. They use statistical methods and data visualization tools to identify trends, patterns, and anomalies in data, ultimately translating complex data into understandable information.

<ul>
	<li>Collect, clean, and analyze large datasets from multiple sources.</li>
	<li>Write efficient SQL queries for data extraction, transformation, and reporting.</li>
	<li>Build and maintain interactive dashboards and reports using Power BI.</li>
	<li>Use Python for data manipulation, automation, and advanced analytics.</li>
	<li>Translate complex data into actionable insights for business teams.</li>
	<li>Collaborate with cross-functional teams to understand data needs and deliver solutions.</li>
	<li>Ensure data integrity and accuracy across all reports and analyses.</li>
	<li>Monitor performance metrics and flag anomalies or trends.</li>
</ul>

<h3>Responsibilities:</h3>

<ul>
	<li>Manage the design, development, implementation, and maintenance of the company's data sources.</li>
	<li>Establish and enforce data management policies to ensure the quality, integrity, and security of enterprise data.</li>
	<li>Design, develop, and implement ETL pipelines using various integration tools.</li>
	<li>Collaborate with Data Analysts to translate analytics requirements into scalable and efficient data model designs.</li>
	<li>Create and maintain robust data warehouse architectures to support organizational data needs.</li>
	<li>Ensure consistent data quality by performing routine testing and troubleshooting of ETL pipelines.</li>
	<li>Coordinate closely with the Application Development team to implement best practices in data processing and integration.</li>
	<li>Maintain comprehensive documentation of applied changes in production databases.</li>
	<li>Perform other tasks and projects as assigned by the Senior IT Manager.</li>
</ul>

Job Description:

The Data Engineer will focus on using various methods to design and implement an overall data infrastructure that will support current and future business needs. The data engineer is also tasked in creating data pipelines that transform raw data for analytical and operational processes.

Job Responsibilities:

Design and build scalable big data infrastructure and solutions, leveraging available cloud resources

Design, create and maintain ETL processes and data pipelines for functions such as but not limited to reporting and machine learning

Collaborate with different cross functional teams to determine and satisfy business data requirements taking into account various technology stacks

Optimize and automate existing current business processes and procedures

Create and present ad hoc reports to key stakeholders

The Data Engineer is responsible for:

<ul>
	<li>Developing and maintaining scalable data pipelines and builds out new API integrations to support continuing increases in data volume and complexity. </li>
	<li>Collaborating with analytics and business teams to improve data models that feed business intelligence tools, increasing data accessibility and fostering data-driven decision making across the organization. </li>
	<li>Implementing processes and systems to monitor data quality, ensuring production data is always accurate and available for key stakeholders and business processes that depend on it.</li>
	<li>Writing unit/integration tests, contributing to engineering wiki, and documents work. </li>
	<li>Performing data analysis required to troubleshoot data related issues and assist in the resolution of data issues. </li>
	<li>Working closely with a team of frontend and backend engineers, product managers, and analysts. </li>
	<li>Defining company data assets (data models), spark, Informatica, Hadoop, sparkSQL, and hiveSQL jobs to populate data models. </li>
	<li>Designing data integrations and data quality framework.</li>
	<li>Designing and evaluating open source and vendor tools for data lineage. </li>
	<li>Working closely with all business units and engineering teams to develop strategy for long term data platform architecture. </li>
</ul>

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