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

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>

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

Python

Duties and Responsibilities:

<ul>
	<li>Design, build, and maintain scalable, secure data pipelines and storage systems; ensure data quality through ETL processes and regular checks.</li>
	<li>Implement policies and practices to control, optimize, and secure data assets, ensuring data integrity and accessibility.</li>
	<li>Develop and maintain data models, structures, and databases to meet business needs; communicate data architecture effectively.</li>
	<li>Develop, test, and maintain scripts and programs to automate data processing and pipelines, adhering to industry standards.</li>
	<li>Create and operationalize data visualization solutions to simplify complex data for stakeholders and decision-making.</li>
	<li>Work with cross-functional teams to gather data requirements, optimize existing processes, and deliver ad hoc reports and insights</li>
</ul>

Work Set-up:

Hybrid (3x a week RTO)

Data Engineer

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

Why work for Ylopo?

<ul>
	<li>At Ylopo we offer team members:</li>
	<li>a commitment to personal development,</li>
	<li>guidance and support at a high level through interfacing with our Executive Team to prioritize goals as a company,</li>
	<li>excellent leadership and mentoring for our entry-level to senior staff, and recognition of outstanding efforts,</li>
	<li>team building events, team lunches/ happy hours, and other company wide events</li>
	<li>a supportive, caring environment dedicated to continuous learning and growth.</li>
</ul>

 

Ylopo LLC is an exciting, rapidly growing, and well-funded technology headquartered in Santa Monica, CA with a growing team based in and around Manila. We are looking for a talented Data Analyst and System Support to work alongside our CTO. The right candidate will have extensive experience with ETL process and SQL coding and analysis skills.

This is a full-time, work from home position with working hours of 8:00 AM - 4:00 PM PST. Occasional weekend work or overtime may arise when deadlines need to be met.

 

Job Requirement:

<ul>
	<li>Design, analyze and document business requirements</li>
	<li>Collect, analyze and structure data sets based on requirements</li>
	<li>Analyze, design, document, develop databases and data collection systems</li>
	<li>Collaborate with a team of analysts and other associates to process information and visualize data</li>
	<li>Work with the management and other business leaders to identify and prioritize business and information needs</li>
	<li>Conduct SIT, lead the UAT and oversee projects from beginning to completion</li>
	<li>Locate and define new process improvement opportunities</li>
	<li>Monitor and maintains application and troubleshoot technical issues</li>
	<li>Provide technical support, test and evaluate new technologies</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.

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>

The ATR Asset Management Group (ATRAM or ATRAM Group) operates through ATR Asset Management, Inc. (ATRAM MF) and the ATRAM Trust Corporation (Formerly Maybank ATR Kim Eng Capital Partners, Inc. - Trust).
 
In 2009, the ATRAM Group decided to expand its presence in the fast-growing domestic asset management industry by forming a dedicated business group called ATR Asset Management Group (ATRAM or ATRAM Group).  This group, comprised of ATRAM MF  and ATRAM - Trust, manages portfolios consisting of mutual funds, trust assets, insurance portfolios, and real estate for proprietary and third party clients.

Why join us?

We are the leading Digitally-powered Asset and Wealth Management ﬁrm serving institutional clients and retail customers,  providing innovative products and unique customer experiences delivered through technology-enabled platforms. Our goal is to secure our clients’ ﬁnancial future
 
ATRAM offers a professional, fair and progressive work environment. In addition, ATRAM strongly supports career development and work-life balance for its employees.

ATR Asset Management (ATRAM)

<ol>
	<li>Data Validation - Compare migration file entries with client folders and EDMS documents.</li>
	<li>Quality Assurance - Review and confirm accuracy of data encoding through maker-checker setup.</li>
	<li>Reporting &amp; Escalation - Maintain records of discrepancies and escalate issues for resolution.</li>
</ol>

Data Encoder

OUR BUSINESS

First Gen Corporation (First Gen) is a leading independent power producer in the Philippines that primarily utilizes clean and indigenous fuels such as natural gas, geothermal energy from steam, hydro-electric, wind, and solar power. The company has 3,489 MW of installed capacity in its portfolio, powering 21.4% of the country’s gross generation.

First Gen is a natural gas pioneer and owns four out of the five natural gas-fired power plants in the country. These are the 1500-MW Sta. Rita and San Lorenzo plants, the 97-MW Avion and the 414-MW San Gabriel power plant. Avion will be the first power plant in the Philippines to run on aero-derivative gas turbines while the San Gabriel plant is expected to be the most efficient natural gas-fired plant in Southeast Asia. First Gen also has the largest portfolio of power plants that use clean, renewable and indigenous fuels. The plants are present in all three grids of the Philippines, and can serve the baseload, mid-merit and peaking market segments.

“Going forward, we continue to keep our eye on remaining relevant, effective, pioneering, and smart about the choices we make in moving towards a decarbonized world… First Gen continues to care about the world we live in, and we will continue to dare to make positive contributions.” 
– President and Chief Operating Officer, Francis Giles B. Puno

First Gen Corporation

Responsible for the effective execution of data management projects that require building systems to collect, manage, and convert raw data into usable information for business analysts to interpret, supporting the analytics requirements of the Data Analytics Team and its customers. This role works closely with business analysts, data scientists, data stewards, domain experts, and IT/infrastructure teams to understand data needs, ensure alignment with business goals, and deliver high-quality, reliable data solutions.

Key Accountabilities

1. Data Modeling and Design 
a. Conducts data modeling and analysis, and develops detailed data models (e.g., using Python scripting, data warehousing, and SQL platforms, with knowledge of Talend or similar ETL tools). 
b. Develops automated systems for managing power industry and wholesale electricity spot market datasets. 
c. Maintains databases and computing environments, and administers database utilities.

2. Data Integration and Interoperability 
a. Gathers and organizes power industry-related and customer-specific data from multiple sources. 
b. Ingests and transforms raw electrical data from Remote Energy Monitoring (IoT devices), cleanses and normalizes it to create a standardized data layer ready for analytics. 
c. Monitors and manages how applications and users access and interact with databases to ensure smooth data flow and optimal system performance. 
d. Provides possible scenarios and recommendations for process improvement and streamlining within the team. 
e. Ensures consistent and accurate information is produced and delivered to various groups within the company; oversees and troubleshoots automated data pipelines and workflows to ensure reliability.

3. Special Projects 
a. Assists in executing the company’s Customer Analytics flagship project by developing use cases that strengthen collaboration across teams. 
b. Works with the product manager and vendors to enrich incoming Remote Energy Monitoring device data, ensuring comprehensive use cases that integrate product, data, operations, and business goals. 
c. Supports projects, protocols, and processes from planning to deployment, liaising with various IT vendors as potential service/system providers and project partners.

Roles and Responsibilities

1. SQL Proficiency for Analytics

○ Writes optimized queries to support BI workloads.

○ Uses window functions, CTEs, and subqueries for analytical transformations.

○ Tunes queries with a focus on speed for dashboards and reporting.

○ Adapts across SQL dialects (PostgreSQL, BigQuery, Snowflake, etc.).

2. Data Modeling G Warehousing

○ Designs star/snowflake schemas for BI use cases.

○ Balances Kimball (analytics-oriented) and Inmon (integration) approaches.

○ Optimizes partitioning and clustering for query efifiiciency (rather than compute efficiency).

3. BI Readiness G Reporting Support

○ Builds curated datasets for BI tools (Looker, Tableau, Power BI).

○ Collaborates with analysts to ensure usability of datasets.

4. Data Quality G Validation

○ Implements automated testing in dbt or similar.

○ Familiarity with observability tools.

○ Ensures trustworthiness of analytics-layer tables.

5. Pipeline Development (Analytics-Focused)

○ Orchestrates workflows with dbt, Airflow, or Fivetran.

○ Manages ELT with emphasis on transfiormation in the warehouse.

6. Governance G Privacy (User-Facing Data)

○ Implements data masking and role-based access control for analysts.

○ Ensures compliance at the analytics layer.

Data Analytics 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

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

Senior Data Engineer

As our Data Engineering Manager, you will lead and grow a team of Data Engineers embedded in various client accounts. You will be responsible for people development, performance management, delivery oversight, and organizational influence—working closely with our Head of Data Engineering and the Data Engineering Council.

You are expected to bring deep engineering experience to provide mentorship and coaching, challenge designs, and model sound engineering judgment—especially in solving ambiguous or poorly scoped problems, rather than writing code full-time.



Resposibilities:

People Management

<ul>
	<li>Manage and mentor a team of Data Engineers (mix of junior and senior)</li>
	<li>Conduct regular 1:1s, performance reviews, and career development planning</li>
	<li>Provide both mentorship and coaching to engineers at all levels</li>
	<li>Support onboarding and upskilling of Data Engineers across accounts</li>
</ul>

Technical Leadership

<ul>
	<li>Provide guidance on how Data Engineers design and develop data modeling, ETL/ELT pipeline architecture, testing, and documentation</li>
	<li>Provide development and standards for implementing the data engineering lifecycle and its undercurrents, such as Observability and Software Engineering for each Data Engineer</li>
	<li>Review technical work periodically (e.g., PRs, architecture proposals)</li>
	<li>Collaborate with senior engineers and the Data Engineering Council to set engineering standards and reuse strategies</li>
</ul>

Project Support &amp; Delivery Oversight

<ul>
	<li>Partner with cross-functional leads (e.g., Data Visualization Engineers) to ensure smooth delivery across squads</li>
	<li>Monitor health of delivery: timelines, blockers, data quality issues</li>
	<li>Act as an escalation point for technical and operational challenges</li>
</ul>

Org Building &amp; Process Improvement

<ul>
	<li>Help shape our technical onboarding, leveling framework, and Data Engineer career pathing</li>
	<li>Drive systems thinking: shared libraries, playbooks, reusable infra patterns</li>
	<li>Contribute to recruiting, hiring, and talent branding</li>
</ul>

Data Engineering Manager

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

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.

Junior Data Engineer

Job Responsibilities/Accountabilities:

· Develop diagrams to outline data requirements and design data flow diagrams to show how data moves between systems and applications.

· Work with different stakeholders to identify data sources, design data ingestion processes with Data Engineering team, and ensure they meet regional standards.

· Set and govern standards for data transformation to ensure consistency and reliability.

· Determine the appropriate location for the data storage.

· Identify the best method to deliver data for easy access and proper utilization.

<ol>
	<li>Master Data Management</li>
	<li>Data Governance</li>
	<li>Design metadata architecture.</li>
	<li>Data Security</li>
	<li>Support and Consultancy.</li>
	<li>Research new opportunities for data acquisition.</li>
	<li>Identify and evaluate new data management technologies.</li>
	<li>Constantly monitor, refine, and report on the performance of data management systems.</li>
	<li>Maintain a corporate repository of all data architecture artifacts and procedures.</li>
	<li>Compliance</li>
	<li>Perform other functions as may be assigned.</li>
</ol>

Senior Data Architect

Job Description:

The Data Engineer is expected to work with the Team in delivering and supporting Data Analytics Requirements. The resource is expected to collaborate with various stakeholders to deliver needed solutions across the organization. Technical expertise is highly expected from the resource to provide solutions and architecture as needed.

Job Requirements:

<ul>
	<li>Must have at least 4-7 years Relevant experience in Data Engineering.</li>
	<li>Development in Azure Data Factory is a priority but experience with Cloud ETL Looks such as AWS Glue or GCP Cloud Data Fusion/Flow is alo considered.</li>
	<li>Python programming skills in Data Analytics/Big Data is a must.</li>
	<li>Cloud Data Engineering skills in Azure (preferred), AWS, and/or GCP is a must.</li>
	<li>Must have experience working in enterprise environment with Data Warehouse/Data Lake/Data Lakehouse environment.</li>
	<li>Modern Data Architecture and Data Modeling experience.</li>
	<li>Worked on at least 2 enterprise scale projects as a Data Engineer.</li>
	<li>PowerBI or knowledge on BI tools is a must.</li>
	<li>Good communication and writing skills.</li>
	<li>Ability to manage stakeholders.</li>
	<li>Independent can work on his/her own with minimal to zero supervision.</li>
	<li>Machine Learning/AI understanding is nice to have.</li>
</ul>

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>

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