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.

Responsibilities:

<ul>
	<li>Collect, clean, and analyze large datasets from multiple sources</li>
	<li>Write efficient SQL queries to extract and analyze data</li>
	<li>Develop interactive dashboards and reports using Power BI</li>
	<li>Use Python to automate data analysis and reporting tasks</li>
	<li>Collaborate with business stakeholders to understand reporting needs</li>
	<li>Ensure data accuracy, consistency, and reliability.</li>
</ul>

Nice to Have

<ul>
	<li>Experience with other BI tools (Tableau, Looker, etc.)</li>
	<li>Basic knowledge of ETL processes and data pipelines</li>
</ul>

Data Analyst

What you'll be doing:

Collect, analyse, and interpret complex datasets from various sources to identify patterns, trends, and insights

Build and maintain efficient data models, dashboards, and reporting tools to present data in a clear and meaningful way

Collaborate with cross-functional teams to understand business requirements and translate them into data-driven solutions

Implement data governance protocols to ensure data integrity and security

Stay up-to-date with the latest data analysis tools and techniques to enhance your skills and deliver maximum value

MAKE YOUR BEST CAREER MOVE YET!

Join one of the fastest growing tech companies in the Philippines. Get to enjoy a fun-filled work culture that empowers you to do your best work!


ABOUT US

Sprout Solutions is a software-as-a-service (SaaS) company that aims to deliver the best automated HR and payroll solutions for the Philippines. We want to help all types of businesses grow with our suite of cloud-based HR and payroll software to streamline and simplify processes.

Here at Sprout, we want people who are driven to make things better than they were before. We desire individuals who are brave and courageous to bring positive change, no matter how small or big it is. We are committed to revolutionize the Philippine economy by building world-class software with the power of local talent.


SPROUT CULTURE

Sprout’s mission is to transform the way HR works in emerging markets. As a company, we want to help the Philippines move forward through technology, doing what we do best. Despite that, we’re proud to say that Sprout has one of the most fun work cultures in the country!

We love getting things done, while also having some fun in between. Be part of an agile startup that is young, energetic, and committed to helping the Philippines move forward.


FUN THINGS WE DO

Weekly fun things:
Being fit and healthy is a top priority at Sprout! Healthy lunch Mondays, Muay Thai Tuesdays and Thursdays, Wellness Wednesdays – these are the things we do every week! We also have sports programs like basketball and badminton, as well as weekly free massage and Zumba sessions for all employees. We’re also proud to have a CEO who’s also a professional Muay Thai fighter – how cool is that?

Sproutings (Sprout Outings):
Here at Sprout we prioritize our employees’ well-being – that’s why we go on trips outside the city twice a year to unwind, relax, and bond together. All of us work hard for most of the year, which is why we love to explore the outdoors and chill out whenever we can!

Monthly gatherings:
To celebrate our company milestones and career achievements, we gather around every month over food and drinks. There’s a different theme every month which brings out talent and creativity in everyone!

--

JOIN US TODAY!

We’re excited to know you and see how you fit with Sprout!

Send in your application and we’ll get back to you soon. :)

Sprout Solutions

<ul>
	<li>Analyze client usage patterns, portfolio performance, and adoption metrics to identify opportunities for growth across embedded finance products.</li>
	<li>Provide data-driven insights to support client segmentation, targeting, and prioritization for upsell, expansion, and product-led growth initiatives.</li>
	<li>Support Business and Growth teams with dashboards and reports that highlight client health, financial performance, revenue impact, and behavior trends.</li>
	<li>Evaluate the impact of campaigns, engagement initiatives, and employer-level performance to inform strategy and decision-making.</li>
	<li>Collaborate with UXR to interpret existing product and user data, helping identify user problems, market gaps, and opportunity areas.</li>
	<li>Support Product Managers in evaluating new product concepts through industry research, competitive benchmarking, and data-driven business projections.</li>
	<li>Collaborate with UXR to interpret existing product and user data, helping identify user problems, market gaps, and opportunity areas.</li>
	<li>Monitor and analyze key product metrics, including conversion funnels, adoption, penetration, and engagement, to uncover insights that inform feature improvements and user experience enhancements.</li>
	<li>Evaluate the performance of newly released features, PLG initiatives, and experiments by conducting structured post-launch impact analyses and recommending next steps.</li>
	<li>Present clear, data-backed insights that guide product direction, highlight risks or opportunities, and influence strategic decision-making across the product lifecycle.</li>
	<li>Monitor key operational metrics such as revenue, repayment behavior, aging transactions (e.g., 30+ /60+ /90+ DPD), borrower activity, and disbursement success rates.</li>
	<li>Support escalation handling by investigating transaction anomalies, reconciliation issues, SOA discrepancies, and deactivation-related concerns through data analysis.</li>
	<li>Maintain and execute recurring reports, including weekly balances, non-repayment monitoring, and due date compliance.</li>
	<li>Develop dashboards and automated monitoring tools to enhance visibility for Customer Advocates, Success Consultants, Fintech Operations, and partner banks.</li>
	<li>Identify manual or error-prone workflows and support Product and Engineering teams in designing and validating automation for operational scale.</li>
</ul>

Data Analyst for Fintech

Peroptyx is a provider of location-based machine learning (ML) training data and model evaluation solutions to leading global consumer technology brands.

Customers benefit from unique data security and identity innovations which minimise bias and errors in ML training data and model evaluation solutions delivered from 26 countries.

The Peroptyx platform integrates personalized authentication, onboarding, use-case education, performance analytics and compensation experiences for its global community of domain expert data analysts - who ensure Peroptyx always delivers higher quality training data and feedback to accelerate ML model performance improvement.

Peroptyx Data Annotation and Model Evaluation solutions are designed for Product and Data Science leaders who place high fidelity, location-based training data at the heart of their AI.

Peroptyx Limited

For thousands of years, maps have provided humans with the knowledge they need to make decisions. As a Maps Evaluator, you will have the opportunity to provide ground truth for your town, city or country.

At Peroptyx, we are looking for Data Analysts who will review mapping data for digital mapping applications. Your research capabilities will validate and ensure that the navigation of certain routes are accurate and safe.

As part of this role, you will verify that business names and opening hours are correct. You will check that the distance from a starting point to an end destination is listed accurately, resulting in better user experiences. 

With this job you can plan your days around this highly flexible working schedule, work weekends or late evenings, all from the comfort of your own office. The flexibility of our roles minimizes the impact on your daily routine. So, whether you are a student looking to earn as you learn, a retiree looking for a new challenge, a part-time/full time professional or a work from home parent, Peroptyx has the right role for you!

Benefits· Work up to 20 hours per week. 
· Earn a competitive rate of pay. 
· Develop your research skills. 
· Avoid the long commute. 
· Work from the comfort of your home office. 
· Enjoy the flexibility of setting your own working hours! 

Apply Online Today!

This is a freelance, independent contractor position.

Data Analyst No Experience Required

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

The Senior Data Analyst is a strategic contributor responsible for leading the delivery of insight-driven analytics solutions. This role translates business questions into structured data inquiries, applies rigorous analytical techniques, and delivers clear, actionable recommendations that inform decisions across business units and client engagements.

As a candidate, you combine analytical depth, business acumen, and stakeholder fluency to maximize the value of data in dynamic, collaborative environments.

Key Responsibilities:

Analytical Execution and Solutioning

<ul>
	<li>Lead the execution of advanced analytical workflows including univariate, bivariate, and multivariate statistical analysis.</li>
	<li>Perform comprehensive exploratory data analysis (EDA) to identify trends, anomalies, and key value drivers.</li>
	<li>Design and implement statistical models such as regression, clustering, and time-series forecasting to uncover insights and predict behavior.</li>
	<li>Deliver compelling data visualizations and narratives that enable data storytelling across technical and non-technical audiences.</li>
	<li>Apply domain-specific techniques such as geospatial analysis, natural language processing, market basket analysis, and time-based cohort analysis when relevant.</li>
</ul>

Strategic Collaboration and Design Facilitation

<ul>
	<li>Translate high-level business objectives into technical requirements and data-driven approaches.</li>
	<li>Lead collaborations with data engineers, scientists, and BI developers to provide scope, share context, and ensure alignment across functions.</li>
	<li>Validate analytical outputs and co-define data product features or project deliverables with stakeholders.</li>
	<li>Draft and design high-level data architectures that ensure guidance for technical developers and interpretability for business owners.</li>
	<li>Manage internal and external stakeholder expectations around features, iterations, and success metrics.</li>
	<li>Ensure adherence to identified practices in documentation, versioning, code standards, and reproducibility. Be able to propose and own these practices when needed.</li>
	<li>Mentor and coach junior analysts and cross-functional peers in analytical thinking, tooling, and structured problem-solving.</li>
	<li>Exhibit strong interpersonal skills, empathy, and responsiveness in high-collaboration and client-facing environments.</li>
</ul>

Impact Ownership and Value Realization

<ul>
	<li>Own the definition, monitoring, and reporting of key performance indicators (KPIs) tied to data project success.</li>
	<li>Support business units and clients in interpreting results, enabling strategic choices and operational improvements based on analytics.</li>
	<li>Proactively identify data-driven opportunities and support the development of business cases or pilot experiments.</li>
</ul>

#li-hybrid

Senior 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>

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

3M believes science helps create a brighter world for everyone. Using 49 unique technology platforms and industry-defining research and development, we unlock the power of people, ideas and science to reimagine what’s possible. Across safety and industrial, transportation and electronics, and consumer markets, 3M is dedicated to applying and sharing our expertise to help customers, communities, and society solve their greatest challenges.

3M has been improving lives in Southeast Asia for more than 60 years, beginning with the founding of 3M in the Philippines in 1961. The company has operations across Indonesia, Malaysia, Philippines, Singapore, Thailand, and Vietnam.

3M Service Center APAC, Inc.

Brief description of the role

Collaborate with innovative 3Mers around the world. As an MDM Analyst, you will perform core master data operations for material records in SAP/DMr and legacy tools. You will process requests within SLAs, facilitate data collection and approvals, and follow governance and documentation standards, focusing on entry-to-medium difficulty queue work and continuous improvement.

 

Main challenges

<ul>
	<li>Maintain data accuracy and compliance with global governance across customer, vendor, and material data.</li>
	<li>Meet SLA and cycle time targets while managing multiple queues.</li>
	<li>Ensure complete data collection/approvals and escalate issues when needed.</li>
</ul>

 

Main activities

<ul>
	<li>Queue management: Monitor and process create/extend/change/deactivate/cleanse/reactivate across customer, vendor, and material domains within SLAs.</li>
	<li>Material data (SAP): Create/extend materials to plants/storage; maintain base, purchasing/MRP/plant attributes; update specific material settings per region.</li>
	<li>Data quality &amp; reporting: Run simple EDQ; support cleanup and Long Tail monthly process; provide operational reports; maintain routing/workflow configuration.</li>
	<li>Documentation &amp; compliance: Follow job aids; support training materials; provide audit evidence; escalate issues as needed.</li>
</ul>

 

The impact you will make in this role

<ul>
	<li>Improve first-time-right data quality and cycle time across all master domains.</li>
	<li>Strengthen governance compliance and stakeholder visibility.</li>
	<li>Contribute to process documentation and continuous improvement.</li>
</ul>

Americas, Master Data Management Analyst

<ul>
	<li>Provides expert knowledge of master data in support of Business, Operations, and Technology teams. </li>
	<li>Manages change control processes and systems related to Formula Control. </li>
	<li>Manages processes to maintain current and historical formulation and raw material information files. </li>
	<li>Develops standards, guidelines, and processes to consistently address master data issues such as data standards and data synchronization</li>
	<li>Develops procedures and processes in compliance with current identified and ISO standards while maintaining the integrity and security of the formulations.</li>
	<li>Provides expert knowledge of master data in support of Business, Operations, and Technology teams.</li>
	<li>Develops standards, guidelines, and processes to consistently address master data issues such as data standards and data synchronization.</li>
	<li>Supports in driving efforts for the adoption of the Data Governance policies, master data management principles and policies and their implementation, work closely with different teams to drive adoption, and overcome individual and organizational resistance to change.</li>
	<li>Contributes to research and efforts to understand and document how data should be best managed and used in the MDM based on laws and best practices</li>
	<li>Works with data owners when issues are escalated</li>
	<li>Evaluates escalated issues for potential solutions to resolve</li>
	<li>Determines if an unresolved issue requires further escalation</li>
	<li>Works with all resources to ensure that business rules are implemented properly to support business needs</li>
	<li>Other job-related activities that may be assigned from time to time.</li>
</ul>

Data Engineer {Data Governance}

Responsibilities:

<ul>
	<li>Design, develop, and maintain scalable ETL pipelines.</li>
	<li>Extract, transform, and load data from multiple data sources.</li>
	<li>Optimize SQL queries and improve data processing performance.</li>
	<li>Collaborate with Data Analysts and stakeholders to support reporting needs.</li>
	<li>Ensure data quality, integrity, and reliability.</li>
	<li>Document data pipelines and engineering processes.</li>
</ul>

Data Engineer

<ul>
	<li>Must have at least 3-4 years Relevant experience in Data Engineering.</li>
	<li>Must have w/ 3+ years expereince in SQL, Dataform, Python, BigQuery, Source integrations, transforms, DQ rules, testing</li>
	<li>Development in Azure Data Factory is a priority but experience with Cloud ETL</li>
	<li>Looks such as AWS Glue or GCP Cloud Data Fusion/Flow is alo considered.</li>
</ul>

Data Steward ensures an organization's data is high-quality, secure, and well-managed by implementing governance policies, defining standards, managing metadata, ensuring compliance (like HIPAA/GDPR), and resolving data issues, acting as a bridge between data users and technical teams to support reliable, trustworthy data for decision-making.

.Data Steward.

Data Steward ensures an organization's data is high-quality, secure, and well-managed by implementing governance policies, defining standards, managing metadata, ensuring compliance (like HIPAA/GDPR), and resolving data issues, acting as a bridge between data users and technical teams to support reliable, trustworthy data for decision-making.

Data Steward

Media Meter is a technology company that tracks mentions across thousands of media channels including newspapers, magazines, radio, TV, blogs, and social media. For us, it’s all about helping organizations understand what is happening in their world so that they can build more effective communications strategies. We do this by revealing conversations about issues and brands in the media, and extracting insights from these conversations so that organizations can build strategies around them.

Media Meter

Is the role right for you?

As a Data Engineer, you will be part of the data collection team that creates and maintains a scraping system. As a developer, your duties may include designing and developing the system, selecting appropriate scraping tools, writing efficient scraping scripts, monitoring and maintaining the system, ensuring data quality and integrity.

What are your responsibilities?

<ul>
	<li>Document website analysis processes and metrics in order to help programmers iterate data scraping algorithms</li>
	<li>Designing and developing efficient and scalable algorithm to scrape data from various websites</li>
	<li>Develop and maintain scripts for automation of tasks related to data processing and analysis</li>
	<li>Extracting, transforming, and loading (ETL) data from different sources to enable data analysis and reporting.</li>
	<li>Build and maintain data processing infrastructure</li>
	<li>Continuously improve data quality and automation processes</li>
	<li>Produce and exhibit reports that give a comprehensive overview of the status of your tasks and how much progress has been made on them</li>
</ul>

What kinds of opportunities are on offer?

We believe that the power to learn new things is the one of the most important skills anyone can ever have. Given enough persistence and grit, as a part of our data collection team, you will

<ul>
	<li>You will become extremely knowledgeable in scraping system and become good at automating processes</li>
	<li>Become proficient in programming languages such as Python</li>
	<li>Gain an understanding of how to design big data delivery platforms and scalable scraping system</li>
</ul>

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Data Analyst No Experience Required

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.Data Steward.

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