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 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.



Responsibilities:

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>

#li-hybrid

Data Engineering Manager

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.

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

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.

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

Data Engineer {Data Governance}

Responsibilities:

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

Data Engineer

Responsibilities:

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

Data Modeler

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>

B4B Solutions Inc. is operating under the Clear Admin People brand, an outsourcing company based in Makati City. We offer remote admin services to business owners (dentists, labour hire operators, accounting firm, etc) in any states/territories in Australia. 

We call ourselves admin people because we put people first. We are invested in having a positive impact on everyone’s lives. 

Our management team is dedicated to empowering you to grow personally and professionally to be the very best you can be for years to come in an environment where the best idea wins, no matter where it comes from.

We also place great emphasis on characteristics rather than qualifications. We have established a recruitment framework called 6-Tool players to ensure we work with excellent people.

A 6-tool player possesses these six characteristics: Adult, Professional, Smart, Empathetic, Competitive, and has an insatiable Thirst for Learning.

B4B Solutions Inc.

Clear is looking for a Data Processor to work with our client, a UK-based start-up building a data-driven platform.

Role and Opportunity 

Your new role is to support the capture, processing, and structuring of reputation-related data across the client’s platform. While elements of the platform will be automated over time, the early stages require human-led data collection, validation, tagging, and preparation.

As part of the client’s “Data Collective,” you will focus on executing defined workflows to ensure data entering the platform is accurate, complete, and consistently structured. This role plays an important part in supporting the quality of downstream advisory and intelligence outputs.

Purpose

As a Data Processing Associate, you will:

<ul>
	<li>Support the accurate capture and processing of platform data</li>
	<li>Ensure data is complete, consistent, and correctly formatted</li>
	<li>Follow established workflows and quality standards to maintain data integrity</li>
</ul>

Your daily tasks may include:

<ul>
	<li>Pull data from designated sources such as news articles, reports, social media, and public information</li>
	<li>Extract relevant data points based on predefined criteria</li>
	<li>Clean, validate, and organise raw data into required formats</li>
	<li>Apply standard tagging and classification rules (e.g. sentiment, issue type, stakeholder group)</li>
	<li>Perform basic quality checks and flag inconsistencies or gaps</li>
	<li>Upload processed data into the client’s platform</li>
	<li>Track daily and weekly processing targets and follow process checklists</li>
	<li>Collaborate with team members during calibration and review cycles</li>
	<li>Contribute to team efforts and perform other data related tasks as requested by the client or assigned by management</li>
</ul>

This test unit measures the ability to identify patterns and inconsistencies in visual representations of data

With the vast information employees need to process and retain every day, attention to detail becomes a critical skill to have because of the efficiency it gives. Also, because thorough employees have more initiative to understand the cause and not just the effect, they do less of the unnecessary rework and produce more complete output. This test measures ability to identify patterns and inconsistencies in visual representations of data.

Attention to Detail

Everyday business communication and other important transactions are completed efficiently with office computer applications, email, and the internet. Computers in the workplace have reduced cost and time in processing tasks. Hiring employees with working knowledge of computers is the current standard. This test assesses basic knowledge of computer operations, hardware and web proxies.

Everyday communication and other important business transactions are done more efficiently with office applications, email, and the internet. Undeniably, computers in the workplace have reduced cost and time in the completion of tasks. Hiring employees with a working knowledge of computers now has become a standard. This test helps gauge knowledge in computer operations, hardware and web proxies. 

Target Candiates: IT Staff, Technical Support Staff, BPO agents

Target Industries: BPO, all industries that have IT unit

General Computer Knowledge

This test unit measures the ability to understand and follow a set of detailed written instructions and then select and implement the correct course of action

Hiring employees that can accurately follow written steps and processes ensures two things--consistent output and employee safety. Variations due to not following instructions can cost a business a lot of money.This test unit measures the ability to understand and follow a set of detailed written instructions and then select and implement the correct course of action.

Following Instructions (Written)

Evaluating and identifying important and relevant information in different formats such as charts, tables, survey results, narratives and other reports are higher order skills that are critical in making decisions and developing solutions.

Data Interpretation

This measures ability to grasp and comprehend fully and completely explicit and implicit information of written communication.

Reading Comprehension

Data Processor

The Data Analyst is responsible for analyzing multiple data sources to support business decision-making, optimize performance, and ensure data accuracy. This role focuses on developing and maintaining dashboards, troubleshooting data visualization tools, and providing actionable insights to end-users across the organization.

 

<h3>Key Responsibilities:</h3>

<ul>
	<li>Analyze new and existing data sources to improve dashboard design, enhance performance efficiency, and prevent logical or data integrity issues.</li>
	<li>Design, develop, maintain, and support interactive dashboards and visualizations using tools such as Tableau and Power BI.</li>
	<li>Create, document, and maintain data dictionaries, ensuring standardized and easily understood definitions across the organization.</li>
	<li>Administer, troubleshoot, and maintain Tableau products, including Tableau Desktop and Tableau Server.</li>
	<li>Serve as the Subject Matter Expert (SME) for Tableau by providing user training, resolving issues, and recommending system and process improvements.</li>
	<li>Collaborate closely with end-users and stakeholders to gather, analyze, and translate reporting requirements into effective data solutions.</li>
	<li>Conduct data validation, testing, and quality checks to ensure accuracy, consistency, and reliability of data sources and visualization outputs.</li>
	<li>Propose, design, and implement enhancements to the data warehouse structure to support evolving business requirements while maintaining data integrity.</li>
	<li>Perform other related tasks as assigned by the immediate superior to support project execution and continuous improvement initiatives.</li>
</ul>

Responsibilities:

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

Nice to Have

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

As a Data Analyst you will be responsible for turning data into information, information into insight, and insight into business decisions. You will conduct full lifecycle analysis to include requirements, activities, and design. Data analysts will develop analysis and reporting capabilities and will also monitor performance and quality control plans to identify improvements. 
 
Duties and Responsibilities:

<ul>
	<li>Data Transformation: Convert raw data into meaningful information that can guide business strategies.</li>
	<li>Lifecycle Analysis: Manage the entire lifecycle of data analysis, from gathering requirements to activity coordination and design implementation.</li>
	<li>Develop reports and refine analysis and reporting tools to provide clear insights into business performance.</li>
	<li>Continuously monitor and assess performance metrics to ensure optimal operation and identify areas for improvement.</li>
	<li>Implement and oversee quality control measures to maintain the integrity and accuracy of data analysis.</li>
	<li>Synthesize complex data sets to extract key trends and insights that drive decision-making processes.</li>
	<li>Work closely with cross-functional teams to prioritize data and analytics needs and support data-driven decisions.</li>
	<li>Proactively seek out and recommend process enhancements to streamline data collection and analysis procedures.</li>
	<li>Constantly monitor, refine and report on the performance of data management systems.</li>
	<li>Maintain a corporate repository of all data analysis artifacts and procedures.</li>
	<li>Ensure that all company policies, procedures, programs and instruction are carried out</li>
	<li>Be familiar and understand company compliance standards. Must be fully aware of his/her responsibilities and competent to carry them out to the required standards.</li>
	<li>Must report all compliance matters openly and honestly to their Compliance Officer in accordance with the reporting requirements operated by the Compliance Officer.</li>
	<li>Must operate a process within his/her department to ensure that all relevant compliance matters are identified and reported.</li>
	<li>Perform other functions as may be assigned.</li>
</ul>

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.

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

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

.Data Steward.

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

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