Healthy Options is the first and largest all-natural and organic products retailer in the Philippines,
specializing in premium and natural food and health products.

Established in 1995, we have grown to expand our organization, creating three other equally passion-driven brands: Bow and Wow, our niche market for cats and dogs; Wine Story, a fine and rare wine retailer; and Planet Grapes, an upscale wine shop and restaurant that caters to the new generation of wine lovers.

We’re looking for the best talent who can help take our business to the next level, all while having fun and helping the world at the same time. If you believe you have what it takes, feel free to browse through the different job openings we have and see where you can fit in!

Healthy Options, Corp.

The Data Manager is the lead responsible in the development and application of data systems, guaranteeing efficient data management, curate data collection methods, and data analysis. They provide guidelines for data exchange, enforce standards, and assist enterprises with data-related problems.

Essential Duties and Responsibilities

<ul>
	<li>Establish and implement guidelines for efficient data management.</li>
	<li>Create methods for gathering high-quality data to guarantee that the information is adequate, valid, and dependable.</li>
	<li>Establish and set into effect secure and effective procedures for handling and analyzing data while paying particular attention to all the technical aspects.</li>
	<li>Define guidelines and protocols for presenting data with external stakeholders, top management, etc.</li>
	<li>Advise individuals using data systems on frequently as well as making sure that company and legal standards are followed.</li>
	<li>Provide support for data extraction and reports as required.</li>
	<li>Keep an eye on, investigate, and evaluate information and data systems to identify ways that will enhance their performance (new technologies, developments, etc.).</li>
	<li>Make sure that data loss and breaches of security are prevented from occurring in digital databases and archives.</li>
	<li>Troubleshoot issues pertaining to data and authorize modifications or maintenance.</li>
</ul>

Data Manager | Onsite

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.

The Engineering Technician I will be performing troubleshooting in any breakdown malfunction encountered during operations while ﻿sustaining continuous improvement on equipment in accordance to corporate goals.

The post holder will be responsible in setting up and maintaining equipment in accordance with the company's utilization and productivity goals for every instance as needed.

Technician 1 Mabalacat, Pampanga

Job Description: 
 
Gardenia Philippines, Inc. is seeking a skilled Facilities Technician to ensure the efficient operation and maintenance of our facilities. The role involves maintaining mechanical, electrical, and plumbing systems, performing preventive and corrective maintenance, and ensuring compliance with safety and quality standards.

<ul>
	<li>Conduct regular inspections and maintenance of building systems (e.g., HVAC, electrical, plumbing, fire safety).</li>
	<li>Perform troubleshooting, repairs, and adjustments to facility equipment.</li>
	<li>Ensure adherence to HACCP, ISO, GMP, and other safety protocols.</li>
	<li>Monitor and manage inventory of tools, spare parts, and equipment.</li>
	<li>Assist in the coordination of facility improvement projects and contractor management.</li>
	<li>Respond promptly to maintenance requests to minimize downtime.</li>
</ul>

Facilities Technician 1 Mabalacat, Pampanga

Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 733,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. We are uniquely able to deliver tangible outcomes because of our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song. These capabilities, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities. Visit us at www.accenture.com.

Accenture in the Philippines

Ready to become part of the dynamic Accenture team? We’re seeking candidates with the right skills and experience for this role. Think you match the profile? Reach out to us, we'd love to hear from you!

 

Be part of Accenture Philippines' 40-year legacy.

 

What you’ll do:

As a Data Architect, your typical day will involve defining the data requirements and structure for the application. You will model and design the application data structure, storage, and integration using your expertise in Data Architecture Principles. 
 
Roles &amp; Responsibilities: 

<ul>
	<li>Define the data requirements and structure for the application, ensuring alignment with business objectives and data governance policies.</li>
	<li>Model and design the application data structure, considering factors such as scalability, performance, and security.</li>
	<li>Collaborate with cross-functional teams to gather and analyze data requirements, ensuring data integrity and consistency.</li>
	<li>Develop data integration strategies and solutions, ensuring seamless data flow between different systems and applications.</li>
	<li>Implement data governance practices and standards, ensuring compliance with regulatory requirements and industry best practices.</li>
</ul>

Data Architect | Data Architecture Principles

<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>

Data Engineer

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>

Data Analyst

<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>

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 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>

The Transnational Diversified Group of Companies (TDG) is a globally competitive and progressive business group of highly successful companies engaged in leading industries. Since its establishment in 1976, TDG now has more than 30 member companies that are major players in diverse industries such as:

TOTAL LOGISTICS(Shipping, Transportation, Cargo Forwarding, Warehousing, Vehicle Logistics, Customs Brokerage, 3rd and 4th Party Logistics, Trucking, Distribution, Liner and Tramp Agency Service)

TOTAL SHIP MANAGEMENT(Ship Crewing, Seafarer Training, Maritime Education, Tanker Operations, Medical Services and Financial Services)

AIR &amp; TRAVEL SERVICES(Tours, Travel Agency Services, Airline GSA, Ground-Handling, Cargo Handling, Airport Support &amp; Aviation Services)

INFORMATION &amp; COMMUNICATIONS TECHNOLOGY SERVICES(Contact Centers, Business Process Outsourcing Services, Software Development and E-Business Solutions), as well as Securities Trading, Real Estate Development, Renewable Energy, and other supplemental businesses. 
With its world-class excellence and win-win outlook, TDG has become a respected strategic partner of large global corporations with stringent requirements for total quality and cost-effective services in both traditional and new economy businesses. TDG’s distinguished partners and principals include NYK Line (Japan), Asiana Airlines (Korea), American Express (USA), Vroon B.V. (Netherlands), Yusen Logistics (Japan), Crystal Cruises (USA), Malaysia Airlines (Malaysia), Disney Cruise Line (USA), ePerformax Contact Centers (USA), Nippon Container Terminal (Japan) and Uyeno Transtech Ltd. (Japan).

A Partner and Employer of Choice, TDG has grown from one strategic partner and 16 employees in 1976 to more than 30 business partners and over 14,000 employees to date.

Transnational Diversified Group

• Gather, organize, clean, transform, and load available data 
• Perform exploratory data analysis (EDA) and other statistical techniques 
• Visualize and present data in easy to understand reports / views using BI Tools 
• Create interactive dashboards for monitoring of various performance metrics and indicators. 
• Provide user support with developed dashboards 
• Analyze data from company database to drive optimization and improvement of performance and business outcomes 
• Work with stakeholders to identify opportunities and drive implementation of proposed solutions 
• Coordinate with different functional teams to implement recommendations and monitor results

• Gather, organize, clean, transform, and load available data 
• Perform exploratory data analysis (EDA) and other statistical techniques 
• Visualize and present data in easy to understand reports / views using BI Tools 
• Create interactive dashboards for monitoring of various performance metrics and indicators. 
• Provide user support with developed dashboards 
• Analyze data from company database to drive optimization and improvement of performance and business outcomes 
• Work with stakeholders to identify opportunities and drive implementation of proposed solutions 
• Coordinate with different functional teams to implement recommendations and monitor results

We are looking for bright and talented Data Scientists to join our dynamic team here at LENA.

As a Data Scientist, you are responsible for managing data-related development pipelines. You will design and develop data science projects, review data-related code, and research on data packages.

Specifically, you may be tasked to perform the following:

<ul>
	<li>Designing data solutions with clients;</li>
	<li>Researching and understanding packages and technologies related to data science;</li>
	<li>Developing data solutions for internal or client use; and</li>
	<li>Managing data solutions development and improvement.</li>
</ul>

 

As part of a new team, you will help lay the culture and technical foundation for the team. You will enjoy growth opportunities working alongside a team that encourages intellectual excitement and a startup working environment. You will have the opportunity to bring your skills to the next level and acquire new ones along the way.

Data Scientist

CMG Retail is a house of brands empowering women to build confidence and creatively express themselves everyday.

Our portfolio spans boutiques (CLN, CMG, So Fab), department stores (Matthews, Figlia, Figliarina, Sorores, Marie Nicole, Shubizz), men's (Traffic, Uomo) and international (Dr. Martens, Staccato, Vizzano).

With over 40 years of experience in the fashion industry and more than 200 retail locations nationwide, we are a trusted partner of women from all walks of life.

We look forward to meeting you!

CMG Retail Group

The Data Encoder is responsible for collecting, encoding, and ensuring the completeness and accuracy of all data regarding sales reports of the brand. 

<ul>
	<li>Encode the necessary data in a complete, accurate and organized manner in the system</li>
	<li>Sort and compile the data properly before encoding in the system</li>
	<li>Update the system by entering the new relevant data into the system everyday</li>
	<li>Maintain data base backups to secure the data from any kind of loss.</li>
	<li>Ensure confidentiality and safe keep of all the data encoded in the system</li>
</ul>

Data Encoder

<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>
</ul>

Provide guidance and mentorship to data professionals within the team.

Data Architect

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

We are looking for bright and talented Junior Data Engineers to join our dynamic team here at LENA.

As a Junior Data Engineer, you will be responsible for building systems that will collect, manage, and convert raw data into usable information for analysis.

Tasks may include:

<ul>
	<li>Designing, preparing, and programming data engineering workflows from multiple data sources for front-end, analytics, and storage requirements;</li>
	<li>Transforming existing data structures for efficient analytical workflows;</li>
	<li>Accessing and scraping data from various structured and unstructured data sources; and</li>
	<li>Collaborating closely with partners and customers to understand their data, design data structures, and provide functionality that is beneficial to the project.</li>
</ul>

As part of a new team, you will help lay the culture and technical foundation for the team. You will enjoy growth opportunities working alongside a team that encourages intellectual excitement and a startup working environment. You will have the opportunity to bring your skills to the next level and acquire new ones along the way.

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