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

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

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>

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

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 

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 fully remote 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

<ul>
	<li>Work up to 20 hours per week.</li>
	<li>Earn a competitive rate of pay.</li>
	<li>Avoid the long commute.</li>
	<li>Work from the comfort of your home office.</li>
	<li>Enjoy the flexibility of setting your own working hours!</li>
</ul>

Analyzing Data

Quality Assurance

Attention to Detail

Research

Problem Solving

Data Analysis

Data Encoding / Data Entry

<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

<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 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

• 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

Position: Data Management Lead 
Location: Laguna International Industrial Park, Mamplasan, Binan, Laguna 
Job Summary: 
The Data Management Lead oversees the management, optimization, and strategic development of the organization's data infrastructure to ensure efficient data handling, processing, and storage. This role involves leading a team of data professionals while ensuring data integrity, performance, and alignment with business objectives.

<h3>Key Responsibilities:</h3>

Leadership:

<ul>
	<li>Lead and mentor a team of data management professionals, ensuring project success and fostering a collaborative environment.</li>
	<li>Set team goals, provide feedback, and drive performance to meet organizational objectives.</li>
</ul>

Database Management:

<ul>
	<li>Oversee the design, implementation, and maintenance of databases.</li>
	<li>Ensure data integrity, security, and optimal performance across all database systems.</li>
</ul>

ETL Process Management:

<ul>
	<li>Develop, optimize, and manage Extract, Transform, Load (ETL) processes to ensure accurate and timely data flow.</li>
	<li>Address issues in ETL pipelines and maintain process documentation.</li>
</ul>

Data Warehouse Management:

<ul>
	<li>Manage data warehouse infrastructure, including schema design, data modeling, and optimization for analytics and business intelligence.</li>
	<li>Implement best practices for scalability and efficiency.</li>
</ul>

Data Architecture:

<ul>
	<li>Define and maintain the organization’s data architecture roadmap.</li>
	<li>Evaluate emerging technologies to enhance the organization's data capabilities.</li>
</ul>

Data Governance:

<ul>
	<li>Establish and enforce data governance policies to comply with regulatory requirements and industry standards.</li>
	<li>Monitor and resolve data quality issues, ensuring consistency and reliability.</li>
</ul>

Collaboration:

<ul>
	<li>Work closely with IT, analytics, and business units to understand data needs and develop tailored solutions.</li>
	<li>Act as a subject matter expert in data management best practices.</li>
</ul>

Performance Optimization:

<ul>
	<li>Identify and implement strategies to enhance data processing efficiency, scalability, and reliability.</li>
	<li>Conduct performance tuning to improve system performance and response times.</li>
</ul>

Data Management Lead

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

As a Data Engineer, you are responsible for the development, implementation, and maintenance of systems and processes that convert raw data to actionable, clean, and consistent information for downstream consumers. This job position focuses on keeping data architectures as abstract and straightforward as possible.

Tasks may include:

<ul>
	<li class="text-justify">Managing data engineering lifecycles through off-the-shelf products, managed services, and tools;</li>
	<li class="text-justify">Implementing data warehouses, data lakes, and data meshes;</li>
	<li class="text-justify">Developing data models relevant to the core domain of the client;</li>
	<li class="text-justify">Designing and developing orchestration of data engineering lifecycles;</li>
	<li class="text-justify">Reviewing and providing insight to architectural decision records for different systems that generate data;</li>
	<li class="text-justify">Transforming existing data structures for efficient analytical workflows;</li>
	<li class="text-justify">Serving data for downstream consumers, such as analytics and ML;</li>
	<li class="text-justify">Providing mentorship and training for data engineering; and</li>
	<li class="text-justify">Collaborating closely with partners and customers (upstream and downstream) 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. Furthermore, you will provide growth to your team members through mentorship and collaboration. You will have the opportunity to engage with clients and improve in communication, leadership and management skills.

BASH

Python

Senior Data Engineer

Job Description:

<ul>
	<li>Procure, interpret, and review public filings to extract relevant data points</li>
	<li>Under full-time staff supervision, use data points to create the first draft of analysis</li>
	<li>Edit peers' work as necessary</li>
	<li>Communicate and collaborate with analysts to ensure reports are delivered on time</li>
	<li>Other responsibilities as assigned</li>
</ul>

ESG Data Analyst

About Ylopo

Ylopo, LLC is a rapidly growing marketing and technology company providing internet marketing services and proprietary lead generation and engagement software to successful real estate agents across the country. We are seeking an outgoing, tech savvy individual to join our growing team.

Why work for Ylopo?

At Ylopo we offer team members:

A full time, permanent work from home set up

A commitment to personal development
guidance and support at a high level through interfacing with our Executive Team to prioritize goals as a company,

Excellent leadership and mentoring for our entry-level to senior staff, and recognition of outstanding efforts,

Team building events, team lunches/ happy hours, and other company wide events

A supportive, caring environment dedicated to continuous learning and growth.
With over a decade of experience in the real estate industry Howard is now back alongside Juefeng Ge, former head of digital marketing for TigerLead and now co-founder and Chief Marketing Officer of Ylopo, to leverage the latest and most effective technological advancements in the field to help Ylopo’s clients generate more business and better promote their team, brand, and listings.

Ylopo LLC

We are seeking a Performance Data Analyst to join our team and provide critical support through data analysis and performance tracking. This role focuses on developing and refining KPIs, analyzing metrics, and generating actionable insights to guide decision-making. The ideal candidate is detail-oriented, proficient in SQL, and passionate about working with data to drive performance improvements.

 

Key Responsibilities:

<ul>
	<li>Write, optimize, and troubleshoot SQL queries to extract and manipulate data for performance analysis.</li>
	<li>Develop and refine KPIs and metrics to track business and operational performance.</li>
	<li>Analyze trends and provide actionable recommendations to improve outcomes.</li>
	<li>Collaborate with stakeholders to identify data needs and design performance reporting tools.</li>
	<li>Generate and maintain regular performance reports and dashboards using tools like Google Sheets or Tableau.</li>
	<li>Ensure data accuracy and consistency by identifying and resolving data integrity issues.</li>
	<li>Contribute to process improvements by identifying inefficiencies and proposing data-driven solutions.</li>
</ul>

Performance 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 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>

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Data Architect | Data Architecture Principles

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Data Architect

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Data Scientist

Data Analyst

Data Management Lead

Senior Data Engineer

ESG Data Analyst

Performance Data Analyst

Junior Data Analyst