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>

Data Analyst

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>

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>

A Data Analyst is responsible for:

<ul>
	<li>Being able to understand and develop ANSI SQL queries</li>
	<li>Being aware of handling other semi-structured data formats – JSON, XMLs, HTMLs etc.</li>
	<li>Being comfortable in querying tools for distributed systems such as Hive, Impala and other SQL clients (RDBMS, Python, Scala etc.);</li>
	<li>Being comfortable in handling transforming data to suite business needs;</li>
	<li>Being able to handle tools for data transformation and/or ETL through tool-based and code-based development – ex. Informatica or Talend for tool based / Spark or MapReduce framework in Python or Scala/Java for code-based development;</li>
	<li>Having a background on data warehousing and reporting technologies;</li>
	<li>Designing and maintaining data systems and databases; this includes fixing coding errors and other data-related problems;</li>
	<li>Mining data from primary and secondary sources, then reorganizing said data in a format that can be easily read by either human or machine;</li>
	<li>Using statistical tools to interpret data sets, paying particular attention to trends and patterns that could be valuable for diagnostic and predictive analytics efforts;</li>
	<li>Demonstrating the significance of their work in the context of local, national, and global trends that impact both their organization and industry;</li>
	<li>Preparing reports for executive leadership that effectively communicate trends, patterns, and predictions using relevant data;</li>
	<li>Collaborating with programmers, engineers, and organizational leaders to identify opportunities for process improvements, recommend system modifications, and develop policies for data governance;</li>
	<li>Creating appropriate documentation that allows stakeholders to understand the steps of the data analysis process and duplicate or replicate the analysis if necessary.</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.

<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>

M2.0 Communications specializes in business, technology and lifestyle communication, with emphasis on public relations, stakeholder management and digital communication. We focus on public relations, social media marketing and media analytics, and pride ourselves as experts in earned media communication.

Starting with one employee in 2003, M2.0 now has a total of around 50 full-time staﬀers composed of a dozen manager/director level employees and more than 40 specialists. During this time, the company came to work with dozens of national and international brands including Intel, Dell, Carrier, Bank of the Philippine Islands. Currently, we work with brands including UNICEF, Philips, OPPO, Del Monte, Bayo and the Government of the Philippines.

M2.0's diﬀerentiation lies in the robust support oﬀered by its diﬀerent service units, as well as its knowledge and experience in stakeholder management, technology and business PR. The agency also oﬀers a unique media monitoring service that is currently one of the most responsive and comprehensive in the Philippines today.

M2.0 Communications Inc.

As a Junior Data Analyst, you will play a crucial role in the data preprocessing phase of our project to fine-tune the Whisper model for Taglish and other languages. Your responsibilities will include collecting, organizing, cleaning, and preparing high-quality multilingual data for model training. You will work closely with the machine learning team to ensure that the data meets the necessary standards for effective model training.

Key Responsibilities:

Data Collection and Organization:

<ul>
	<li>Gather raw audio files in various formats (e.g., MP3, WAV, FLAC) from diverse sources such as interviews, podcasts, and YouTube videos.</li>
	<li>Organize files into a structured directory hierarchy, ensuring a clear and consistent file naming convention.</li>
</ul>

Audio Preprocessing:

<ul>
	<li>Convert audio files to the required format (16kHz mono, 16-bit signed integer WAV) using tools like FFmpeg.</li>
	<li>Transcribe audio files, either manually or through a transcription service, and store text files with corresponding filenames.</li>
</ul>

Data Cleaning and Normalization:

<ul>
	<li>Clean and normalize text data to address spelling variations, punctuation issues, and formatting inconsistencies.</li>
	<li>Standardize abbreviations and contractions, and remove special characters or unnecessary symbols.</li>
</ul>

Data Segmentation and Labeling:

<ul>
	<li>Split lengthy audio recordings into smaller, manageable segments.</li>
	<li>Create and maintain a metadata file that maps audio files to their corresponding transcriptions and alignment details.</li>
</ul>

Quality Assurance and Validation:

<ul>
	<li>Conduct thorough quality checks to validate the dataset for accuracy, consistency, and completeness.</li>
	<li>Identify and resolve issues in the audio and text data, such as misalignments or incorrect transcriptions.</li>
</ul>

Data Analysis and Reporting:

<ul>
	<li>Use data analysis techniques to evaluate dataset health and completeness.</li>
	<li>Provide regular reports on data collection progress, challenges, and recommendations for improvements.</li>
</ul>

Collaboration and Communication:

<ul>
	<li>Work closely with the machine learning team to address any data-related issues.</li>
	<li>Provide regular updates on data collection and preprocessing progress.</li>
</ul>

Junior Data Analyst

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>

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.

HÖEGH LNG SERVICES AS is a multinational company organized and existing under the laws of Norway, was duly licensed by this Commission in accordance with the Omnibus Investments Code of 1987, as amended by RA 8756 and its implementing rules and regulations and with a favorable recommendation from the Board of Investments dated August 29, 2018, to establish its Regional Operating Headquarters in the Philippines doing business as Höegh LNG Services ROHQ to: engage in general administration and planning; business planning and coordination; sourcing/procurement of raw materials and components; corporate finance advisory services; marketing control and sales promotion; training and personnel management; logistics services; research and development services and product development; technical support and maintenance; data processing and communication; and business development.

Höegh LNG Services ROHQ

Höegh Evi is a pioneer within maritime energy infrastructure, providing fast-track floating LNG terminals enabling national and regional energy security around the world. Our purpose is to accelerate countries to energy security and transition by providing innovative and flexible marine energy infrastructure. The flexibility provided by floating terminal solutions also supports the transition to clean, carbon-free energy.

We are a truly global company, present in Norway, Germany, Lithuania, United Kingdom, the USA, Singapore, Indonesia, Egypt, Colombia, Brazil, Jamaica and the Philippines.

Owned by Larus Holding Limited, a 50/50 joint venture between Leif Höegh &amp; Co. Ltd. and Funds managed by Igneo Infrastructure Partners, we employ approximately 900 employees at sea and onshore.

The Data Analyst / Data Encoder ensures accurate and complete entry of equipment technical details, spare part lists, and maintenance tasks into AMOS, based on data identified by Marine Engineers. Sourced from vessel drawings, manuals, and technical references, the data must maintain integrity between equipment, spares, and maintenance tasks. Encoding is typically done using Excel or SQL scripts, but the employee is encouraged to suggest improved or more efficient methods. All work must follow company and maker standards while supporting continuous improvements in data handling and validation.

<ul>
	<li>Receive and process equipment technical details, spare part lists, and maintenance tasks identified by Marine Engineers from vessel drawings, manuals, and other references.</li>
	<li>Prepare and standardize data for encoding, ensuring correct structure, formatting, and alignment with company and maker standards.</li>
	<li>Encode data into AMOS, using Microsoft Excel, SQL scripts, or other approved methods that maintain the integrity between equipment, spares, and maintenance routines.</li>
	<li>Maintain clear and organized work files for each vessel project, including raw data, processed templates, and final upload records for traceability and quality control.</li>
	<li>Perform data checks and validations to ensure consistency, accuracy, and completeness prior to system upload.</li>
	<li>Suggest and implement improvements in data preparation, encoding methodologies, or tools to enhance efficiency and accuracy.</li>
	<li>Coordinate with Marine Engineers and project stakeholders to clarify data requirements or resolve discrepancies.</li>
	<li>Adhere to project timelines and support documentation standards for audit, handover, and future reference.</li>
</ul>

Fleet Management Support Data Analyst

Primary Responsibilities:

<ul>
	<li>Strategic Assessment: Conduct data assessments to gauge client’s data and marketing maturity, define data goals and objectives, and clarify project scopes with client stakeholders.</li>
	<li>Client Engagement: Establish and align procedures and timelines for data operations and KPIs with clients. Build and stabilize data processes and workflows.</li>
	<li>Cross Functional Collaboration: Engage with MarOps to understand data sources and create workflows to create a seamless environment between all MarTech platforms.</li>
	<li>Priority Coordination: Coordinate priorities with client stakeholders, identifying dependencies or risks proactively.</li>
	<li>Strategy Development: Providing strategic recommendations based on data analysis to improve ROI, customer acquisition, retention, and overall marketing effectiveness.</li>
	<li>Data Analysis: Conducting in depth analysis of marketing campaigns, customer behavior, and market trends using statistical techniques and tools.</li>
	<li>Reporting and Visualization: Creating comprehensive reports and visualizations that effectively communicate insights to stakeholders, including marketing teams, executives, and clients.</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 analysts and associates, offering guidance and support to foster their professional development.</li>
</ul>

Senior Data Analyst

Collect, clean, and analyze large datasets from multiple sources.

Write efficient SQL queries for data extraction, transformation, and reporting.

Build and maintain interactive dashboards and reports using Power BI.

Use Python for data manipulation, automation, and advanced analytics.

Translate complex data into actionable insights for business teams.

Collaborate with cross-functional teams to understand data needs and deliver solutions.

Ensure data integrity and accuracy across all reports and analyses.

Monitor performance metrics and flag anomalies or trends.

Data Analyst | Python AND PowerBI

Started in 2013, we are the first agency in the Philippines to provide sales and marketing outsourcing solutions through a fully-staffed, ready to dock sales and marketing organization. In less than 5 years, we have serviced some of the biggest brands in the country, such as adidas Philippines, Globe Telecom, Datu Puti, San Remo Pasta, Bridgestone, Meralco, and many more!

Check out more at:
https://www.youtube.com/watch?v=TzmRH_T4Tvs&t=7s

Blue Spark Solutions, Inc.

Do

•Translate business requirements to usable Excel dashboards and visualizations

•Design and execute efficient ETL process and data model that will allow for easy integration of builds like additional calculations and visualization

•Design charts and tools that will enable richer insight

•Create topline analysis on assigned workstreams

Display

•Intellectual horsepower

•Structured &amp; logical thinking (simplifying the complex)

•Strong project management skills

•Creative thinking

•Effective communication

•Proactiveness

•Good storytelling

Deliver

•On-time delivery of dashboards, reports, analysis

•100% accuracy on key category context reports / outputs

Be a model of our three core values: Excellence, Integrity, and Malasakit

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

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

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>

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Data Analyst | Python AND PowerBI

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