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.

Duties and Responsibilities 

<ul>
	<li>Develop and implement advanced data analysis techniques to optimize efficiency and quality.</li>
	<li>Prepare and present detailed reports, dashboards, and visualizations of operational results for stakeholders.</li>
	<li>Interpret data using analytics and statistical methods, providing insights and recommendations.</li>
	<li>Lead the full lifecycle of analytics projects, from requirements gathering to design and execution.</li>
	<li>Evaluate key performance indicators and provide ongoing reports to support decision-making.</li>
	<li>Collaborate with cross-functional teams to ensure data integrity and alignment with business goals.</li>
	<li>Stay updated on industry trends and emerging technologies in data analysis and analytics tools.</li>
	<li>Conducted data quality assessments and implemented improvements as needed.</li>
	<li>Support the development and implementation of data governance policies and procedures.</li>
	<li>Mentor junior analysts and provide training on data analysis techniques and tools.</li>
	<li>Other job-related activities may be assigned from time to time.</li>
</ul>

Data Analyst

Duties and Responsibilities:

<ul>
	<li>Develop and implement advanced data analysis techniques to optimize efficiency and quality.</li>
	<li>Prepare and present detailed reports, dashboards, and visualizations of operational results for stakeholders.</li>
	<li>Interpret data using analytics and statistical methods, providing insights and recommendations.</li>
	<li>Lead the full lifecycle of analytics projects, from requirements gathering to design and execution.</li>
	<li>Evaluate key performance indicators and provide ongoing reports to support decision-making.</li>
	<li>Collaborate with cross-functional teams to ensure data integrity and alignment with business goals.</li>
	<li>Stay updated on industry trends and emerging technologies in data analysis and analytics tools.</li>
	<li>Conducted data quality assessments and implemented improvements as needed.</li>
	<li>Support the development and implementation of data governance policies and procedures.</li>
	<li>Mentor junior analysts and provide training on data analysis techniques and tools.</li>
	<li>Other job-related activities may be assigned from time to time.</li>
</ul>

Work Set-up: Hybrid (3x a week RTO)

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>

Objective (Purpose of the Job)

The Senior HR Data Analyst shall be responsible for organizing, managing and optimizing Human Resources data. The role shall handle big data and includes performing data analysis, data migration, data migration governance, and ensuring data quality and integrity across various reporting and analytics requirements by HR. HR Data Analyst is capable to provide recommendations and strategies that will support the preparation and migration of HR data to the new platform/system. This position will collaborate with Project Managers and Project Leads to ensure completion of project deliverables.

 

Key Responsibilities

- Plan, execute, and validate the migration of HR data from legacy systems to the new HCM platform.

- Analyze, cleanse and test data to ensure accuracy, completeness, and consistency.

- Develop and execute data migration scripts and tools.

- Identify and resolve data migration issues and discrepancies.

- Document data migration processes and procedures.

- Perform data reconciliation and validation post-migration.

- Using data visualization tools for reporting

- Creating data dictionary, data/entity relationship diagrams and data analysis with regards to the data structure hierarchy, validations and usage

Sr. Data Analyst

<ul>
	<li>Develop and implement advanced data analysis techniques to optimize efficiency and quality.</li>
	<li>Prepare and present detailed reports, dashboards, and visualizations of operational results for stakeholders.</li>
	<li>Interpret data using analytics and statistical methods, providing insights and recommendations.</li>
	<li>Lead the full lifecycle of analytics projects, from requirements gathering to design and execution.</li>
	<li>Evaluate key performance indicators and provide ongoing reports to support decision-making.</li>
	<li>Collaborate with cross-functional teams to ensure data integrity and alignment with business goals.</li>
	<li>Stay updated on industry trends and emerging technologies in data analysis and analytics tools.</li>
	<li>Conducted data quality assessments and implemented improvements as needed.</li>
	<li>Support the development and implementation of data governance policies and procedures.</li>
	<li>Mentor junior analysts and provide training on data analysis techniques and tools.</li>
	<li>Other job-related activities may be assigned from time to time.</li>
</ul>

Data Analyst [SQL]

Duties and Responsibilities:

<ul>
	<li>Develop and implement advanced data analysis techniques to optimize efficiency and quality.</li>
	<li>Prepare and present detailed reports, dashboards, and visualizations of operational results for stakeholders.</li>
	<li>Interpret data using analytics and statistical methods, providing insights and recommendations.</li>
	<li>Lead the full lifecycle of analytics projects, from requirements gathering to design and execution.</li>
	<li>Evaluate key performance indicators and provide ongoing reports to support decision-making.</li>
	<li>Collaborate with cross-functional teams to ensure data integrity and alignment with business goals.</li>
	<li>Stay updated on industry trends and emerging technologies in data analysis and analytics tools.</li>
	<li>Conducted data quality assessments and implemented improvements as needed.</li>
	<li>Support the development and implementation of data governance policies and procedures.</li>
	<li>Mentor junior analysts and provide training on data analysis techniques and tools.</li>
	<li>Other job-related activities may be assigned from time to time.</li>
</ul>

Data Analyst | SQL & Python

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

Data Analyst | Consumer Insights

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>

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.

Data Analyst [SQL, Python] ⁿ

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 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

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* {With PowerBI, Tableau, Sql & Python}

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

SlideGenius is the leading global Presentation Design Agency, trusted by over 5,000 clients worldwide, including industry giants such as Adidas, Autodesk, Illumina, J.P. Morgan, Meta, MetLife, and Pepsi. With headquarters in San Diego, California, and offices in London, Makati, and Bacolod, we operate around the clock, delivering exceptional presentation design solutions across industries.

Our Makati and Bacolod offices works directly with our global teams, contributing to exciting and high-profile projects every day. We operate 24/7, offering flexible shift options for dynamic and motivated professionals.

SG APAC, Inc.

A Data Researcher assists with the planning and execution of marketing and business development activities. They support the (but not limited to) marketing department by assisting with daily tasks that are necessary to keep the department functioning. One-part analyst, one-part sales intelligence: the Data Researcher supports SlideGenius' sales and marketing efforts by comparing our current customers' needs with new business opportunities in an effort to reach a new audience.

 

<ul>
	<li>Provide general administrative and clerical support.</li>
	<li>Perform data entry and file maintenance.</li>
	<li>Create and modify various documents in both Microsoft Office and Google Apps.</li>
	<li>Learn how to navigate sales and marketing tools, such as Salesforce, Pardot, LinkedIn Sales Navigator, etc.</li>
	<li>Gather data needed by the sales and marketing departments.</li>
</ul>

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