HOPLA.Online is a fully remote outsourcing company that connects work-from-home professionals with fast-growing, innovative companies worldwide. Being limited to available work within your area is now a thing of the past. At HOPLA, remote work goes beyond flexibility — we offer WFH++.

We offer long-term remote careers with growth, support, and stability. When you join HOPLA.Online, you’ll experience flexibility to work from anywhere, career growth opportunities through learning paths and mentorship, stability with full-time roles and guaranteed pay, a supportive culture with regular check-ins, comprehensive benefits like paid leave and insurance, and engaging work on impactful projects with global companies.

HOPLA Online

About the role

We’re seeking a Data &amp; IT Analytics Manager to drive data-driven decision-making and optimize IT operations. You’ll analyze data, produce reports and dashboards, maintain databases, and implement data governance. You’ll also manage a fully remote IT team, oversee Google Workspace and core systems, enforce IT policies, and recommend new technologies—including AI tools to improve efficiency. Ideal candidates are analytical, detail-oriented, and experienced in remote team management, data analytics, IT operations, and modern enterprise software. Experience with Looker, Google Workspace, and AI/ML tools is highly preferred.

Your days will be filled with:

Data Analytics (Primary Focus)

<ul>
	<li>Lead the extraction, cleaning, and analysis of data using Google Sheets, Looker, and other analytics tools to support strategic and operational decisions.</li>
	<li>Design, produce, and present dashboards, reports, and insights for leadership and cross-functional teams.</li>
	<li>Identify trends, patterns, risks, and performance gaps across complex datasets and translate them into clear recommendations.</li>
	<li>Develop and maintain data models, databases, and analytics frameworks to enable scalable, data-driven decision-making.</li>
	<li>Establish and enforce data governance standards, including data quality checks, audits, documentation, and access controls.</li>
	<li>Partner with senior leaders to define KPIs, success metrics, and analytics roadmaps aligned with business priorities.</li>
	<li>Mentor and guide junior analysts, building analytical capability and best practices across the organization.</li>
</ul>

Information Technology (Strategic Oversight)

<ul>
	<li>Provide strategic leadership and direction for IT operations, ensuring alignment with business and data needs.</li>
	<li>Oversee the management and optimization of core systems, particularly Google Workspace, in collaboration with the IT Specialist.</li>
	<li>Define, review, and enforce IT policies, SOPs, security, and compliance standards.</li>
	<li>Prioritize and oversee high-impact IT initiatives, escalations, and risk mitigation efforts.</li>
	<li>Evaluate, recommend, and sponsor the adoption of new technologies and AI-enabled tools to improve efficiency, automation, and analytics capabilities.</li>
	<li>Manage IT budget planning, procurement strategy, and vendor relationships, ensuring cost-effectiveness and scalability.</li>
	<li>Act as the primary bridge between data, IT, and business stakeholders, ensuring technology enables—not limits—growth.</li>
</ul>

Device Requirements:

To maintain a highly productive and professional work-from-home setup, successful candidates must have:

<ul>
	<li>Computer &amp; Equipment</li>
	<li>Primary and backup computer with at least Intel Core i5 or AMD Ryzen 5, and 8GB RAM</li>
	<li>Web camera for meetings and check-ins</li>
	<li>Headset (preferably noise-canceling) for clear communication</li>
	<li>Internet Connection</li>
	<li>Primary: Minimum 30 Mbps download / 10 Mbps upload</li>
	<li>Backup: At least 10 Mbps download / 5 Mbps upload</li>
</ul>

At HOPLA, we are dedicated to supporting a stable and well-equipped remote work environment that encourages seamless collaboration and consistent performance across our teams.

If you tick all these boxes, then we are excited for you to be part of the fast-growing HOPLA team!

What you will enjoy:

<ul>
	<li>A stable full-time position with an established and growing company</li>
	<li>Work Schedule: Monday - Friday PH TIME</li>
	<li>Enjoy paid leaves, plus primary HMO coverage and insurance benefits</li>
	<li>The opportunity to collaborate with global clients</li>
	<li>Ongoing career growth support through mentoring and professional development programs</li>
</ul>

Database Software

Information Analysis

Technical Skills

Leadership skills

Data Analysis

Data Management

Data Interpretation

Senior Manager – Data Analytics & IT

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.

What you'll be doing:

Collect, analyse, and interpret complex datasets from various sources to identify patterns, trends, and insights

Build and maintain efficient data models, dashboards, and reporting tools to present data in a clear and meaningful way

Collaborate with cross-functional teams to understand business requirements and translate them into data-driven solutions

Implement data governance protocols to ensure data integrity and security

Stay up-to-date with the latest data analysis tools and techniques to enhance your skills and deliver maximum value

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>

<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>

Data Engineer

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.

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>

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

MAKE YOUR BEST CAREER MOVE YET!

Join one of the fastest growing tech companies in the Philippines. Get to enjoy a fun-filled work culture that empowers you to do your best work!


ABOUT US

Sprout Solutions is a software-as-a-service (SaaS) company that aims to deliver the best automated HR and payroll solutions for the Philippines. We want to help all types of businesses grow with our suite of cloud-based HR and payroll software to streamline and simplify processes.

Here at Sprout, we want people who are driven to make things better than they were before. We desire individuals who are brave and courageous to bring positive change, no matter how small or big it is. We are committed to revolutionize the Philippine economy by building world-class software with the power of local talent.


SPROUT CULTURE

Sprout’s mission is to transform the way HR works in emerging markets. As a company, we want to help the Philippines move forward through technology, doing what we do best. Despite that, we’re proud to say that Sprout has one of the most fun work cultures in the country!

We love getting things done, while also having some fun in between. Be part of an agile startup that is young, energetic, and committed to helping the Philippines move forward.


FUN THINGS WE DO

Weekly fun things:
Being fit and healthy is a top priority at Sprout! Healthy lunch Mondays, Muay Thai Tuesdays and Thursdays, Wellness Wednesdays – these are the things we do every week! We also have sports programs like basketball and badminton, as well as weekly free massage and Zumba sessions for all employees. We’re also proud to have a CEO who’s also a professional Muay Thai fighter – how cool is that?

Sproutings (Sprout Outings):
Here at Sprout we prioritize our employees’ well-being – that’s why we go on trips outside the city twice a year to unwind, relax, and bond together. All of us work hard for most of the year, which is why we love to explore the outdoors and chill out whenever we can!

Monthly gatherings:
To celebrate our company milestones and career achievements, we gather around every month over food and drinks. There’s a different theme every month which brings out talent and creativity in everyone!

--

JOIN US TODAY!

We’re excited to know you and see how you fit with Sprout!

Send in your application and we’ll get back to you soon. :)

Sprout Solutions

Main Area of Responsibility:

Data Engineers are mainly tasked with transforming data into a format that can be easily analyzed. The Data Engineer will be responsible for designing and developing Sprout’s data system, processing and extracting data features and deploying the data science team’s machine learning models. The Data Engineer will support our software engineers, architects and data scientists on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects.

 

 

TASKS:

<ul>
	<li>Build, optimize and maintain conceptual, logical and physical database models</li>
	<li>Develop database solutions to store and retrieve information</li>
	<li>Assemble datasets that meet functional/non-functional business requirements</li>
	<li>Build the infrastructure for optimal ETL from a wide variety of data sources</li>
	<li>Monitor data integrity and adopt appropriate tools</li>
	<li>Improve system performance</li>
	<li>Optimize or re-design data architecture to support Sprout’s next generation of products and data initiatives</li>
	<li>Design, develop, test and deploy web service APIs</li>
	<li>Work with Data Scientists to identify future needs and requirements</li>
	<li>Deploy models and algorithms developed by the Data Science team</li>
</ul>

Mid Data Engineer

We are seeking a highly skilled Data Modeler / Architect to lead the design and implementation of scalable data models and transformation pipelines using DBT on Google Cloud BigQuery. This role requires strong client-facing communication skills to understand business data deeply and translate it into robust technical solutions.

Data Modeling &amp; Architecture

Design logical and physical data models aligned with business requirements and long-term architecture goals.

Apply modeling styles such as 3NF, dimensional, anchor, and semantic models for cloud data warehouses.

Define entity relationships, derived fields, business constraints, and data validity rules.

Transformation &amp; Implementation

Build and deploy transformation pipelines using DBT (Data Build Tool) integrated with Google Cloud BigQuery.

Optimize table storage, indexing, and partitioning for performance and scalability.

Apply best practices for cost-efficient querying and data access in BigQuery.

Client Engagement &amp; Communication

Collaborate directly with clients to understand their data landscape, business logic, and reporting needs.

Translate business rules into technical specifications and ensure alignment across stakeholders.

Present data models and transformation strategies clearly to both technical and non-technical audiences.

Must have and Good to have skills: SQL, DBT, Data Modeling

Number of years experiences needed: Min of 4 years

If hybrid, provide number of days in a month or week that needs to be in the office: 2x a week – Midshift (2PM to 12AM)

Location (During onsite): Uptown Tower 3, BGC Taguig City

Data Modeler Architect

Senior Data Steward

As a Junior Data Analyst, you will play a crucial role in the data preprocessing phase of our project to fine-tune the Whisper model for Taglish and other languages. Your responsibilities will include collecting, organizing, cleaning, and preparing high-quality multilingual data for model training. You will work closely with the machine learning team to ensure that the data meets the necessary standards for effective model training.

Key Responsibilities:

Data Collection and Organization:

<ul>
	<li>Gather raw audio files in various formats (e.g., MP3, WAV, FLAC) from diverse sources such as interviews, podcasts, and YouTube videos.</li>
	<li>Organize files into a structured directory hierarchy, ensuring a clear and consistent file naming convention.</li>
</ul>

Audio Preprocessing:

<ul>
	<li>Convert audio files to the required format (16kHz mono, 16-bit signed integer WAV) using tools like FFmpeg.</li>
	<li>Transcribe audio files, either manually or through a transcription service, and store text files with corresponding filenames.</li>
</ul>

Data Cleaning and Normalization:

<ul>
	<li>Clean and normalize text data to address spelling variations, punctuation issues, and formatting inconsistencies.</li>
	<li>Standardize abbreviations and contractions, and remove special characters or unnecessary symbols.</li>
</ul>

Data Segmentation and Labeling:

<ul>
	<li>Split lengthy audio recordings into smaller, manageable segments.</li>
	<li>Create and maintain a metadata file that maps audio files to their corresponding transcriptions and alignment details.</li>
</ul>

Quality Assurance and Validation:

<ul>
	<li>Conduct thorough quality checks to validate the dataset for accuracy, consistency, and completeness.</li>
	<li>Identify and resolve issues in the audio and text data, such as misalignments or incorrect transcriptions.</li>
</ul>

Data Analysis and Reporting:

<ul>
	<li>Use data analysis techniques to evaluate dataset health and completeness.</li>
	<li>Provide regular reports on data collection progress, challenges, and recommendations for improvements.</li>
</ul>

Collaboration and Communication:

<ul>
	<li>Work closely with the machine learning team to address any data-related issues.</li>
	<li>Provide regular updates on data collection and preprocessing progress.</li>
</ul>

Junior Data Analyst

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

The Senior Data Analyst is a strategic contributor responsible for leading the delivery of insight-driven analytics solutions. This role translates business questions into structured data inquiries, applies rigorous analytical techniques, and delivers clear, actionable recommendations that inform decisions across business units and client engagements.

As a candidate, you combine analytical depth, business acumen, and stakeholder fluency to maximize the value of data in dynamic, collaborative environments.

Key Responsibilities:

Analytical Execution and Solutioning

<ul>
	<li>Lead the execution of advanced analytical workflows including univariate, bivariate, and multivariate statistical analysis.</li>
	<li>Perform comprehensive exploratory data analysis (EDA) to identify trends, anomalies, and key value drivers.</li>
	<li>Design and implement statistical models such as regression, clustering, and time-series forecasting to uncover insights and predict behavior.</li>
	<li>Deliver compelling data visualizations and narratives that enable data storytelling across technical and non-technical audiences.</li>
	<li>Apply domain-specific techniques such as geospatial analysis, natural language processing, market basket analysis, and time-based cohort analysis when relevant.</li>
</ul>

Strategic Collaboration and Design Facilitation

<ul>
	<li>Translate high-level business objectives into technical requirements and data-driven approaches.</li>
	<li>Lead collaborations with data engineers, scientists, and BI developers to provide scope, share context, and ensure alignment across functions.</li>
	<li>Validate analytical outputs and co-define data product features or project deliverables with stakeholders.</li>
	<li>Draft and design high-level data architectures that ensure guidance for technical developers and interpretability for business owners.</li>
	<li>Manage internal and external stakeholder expectations around features, iterations, and success metrics.</li>
	<li>Ensure adherence to identified practices in documentation, versioning, code standards, and reproducibility. Be able to propose and own these practices when needed.</li>
	<li>Mentor and coach junior analysts and cross-functional peers in analytical thinking, tooling, and structured problem-solving.</li>
	<li>Exhibit strong interpersonal skills, empathy, and responsiveness in high-collaboration and client-facing environments.</li>
</ul>

Impact Ownership and Value Realization

<ul>
	<li>Own the definition, monitoring, and reporting of key performance indicators (KPIs) tied to data project success.</li>
	<li>Support business units and clients in interpreting results, enabling strategic choices and operational improvements based on analytics.</li>
	<li>Proactively identify data-driven opportunities and support the development of business cases or pilot experiments.</li>
</ul>

#li-hybrid

Senior Data Analyst

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

Pi Energy Inc. is First Philippine Holdings’ wholly-owned subsidiary, specializing in energy solutions and the development of relevant energy efficiency and data solutions. Through Pi, we provide sustainable and cost-effective energy solutions that address your business needs and support your energy goals.

Our energy solutions and technology includes energy audit, remote energy monitoring system, distribution transformer, primary metering service, and solar energy source.

Pi Energy

The Customer Data Custodian’s primary responsibility is to help ensure the quality, integrity, and proper handling of customer data within the organization. This role supports data governance initiatives by maintaining accurate customer records, assisting in data quality checks, and helping enforce compliance with data governance.

 

Roles &amp; Responsibilities:

 

A. Customer Data Maintenance

<ul>
	<li>Assist in the accurate creation, update, and deactivation of customer data records across core systems (e.g., Data warehouse, Salesforce CRM, Automated Billing System - ABS).</li>
	<li>Conduct basic data entry and validation to ensure completeness and accuracy.</li>
</ul>

 

B. Customer Document Consolidation

<ul>
	<li>Support the collection, tagging, and uploading of customer-related documents (e.g. bills, contracts, single line diagrams) into centralized repositories.</li>
	<li>Ensure that document metadata is properly recorded for easy search and retrieval.</li>
	<li>Coordinate with relevant teams to resolve issues related to missing or inconsistent documentation.</li>
</ul>

 

C. Data Quality Support

<ul>
	<li>Assist in performing routine data quality checks and identifying inconsistencies or errors in customer data.</li>
	<li>Support the clean-up of duplicate or inaccurate customer records.</li>
	<li>Help document data standards and definitions for customer information.</li>
	<li>Learn and apply basic data cleansing techniques.</li>
</ul>

 

D. Basic Reporting and Analysis Support

<ul>
	<li>Collaborate with data stewards, owners, and system users to drive data quality improvements and implement governance practices that enable reliable analytics.</li>
	<li>Generate reports and dashboards to monitor data quality and performance metrics.</li>
</ul>

Customer Data Custodian

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

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, extracting insights from these conversations so that organizations can build strategies around them.

Is the role right for you?

As a Junior 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>

Junior Data Engineer

Duties and Responsibilities:

<ul>
	<li>Support Machine Learning experts in language-specific areas for a target language (US English).</li>
	<li>Evaluate the A.I.’s performance and contribute to its optimization which includes providing language data, textual grading for various NLP projects, writing documentation and guidelines, and reviewing data and test results.</li>
	<li>Perform tasks such as data annotation, phonetic transcription, grammar checking, transcription of recorded speech, and other NLP-related tasks.</li>
	<li>Evaluate the quality and performance of NLP-based systems.</li>
	<li>Research, plan, and document product features for a variety of audiences, such as software developers, IT admins, sales engineers, and end users.</li>
	<li>Triage of production usage data in accordance with the standardized grading guidelines.</li>
	<li>Analyzing and inspecting data to identify NLU (natural language understanding) level of failures into predefined categories.</li>
	<li>Bridge the gap between technical and non-technical teams through clear and concise communication.</li>
	<li>Stay updated with industry trends and advancements in machine learning, natural language processing, and related technologies.</li>
</ul>

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