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>Experience collecting, organizing, analyzing, and disseminating abundant information with accuracy</li>
	<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>

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

Knowledge of reporting and visualization tools such as Business Objects, PowerBI and Tableau.

• Programming Skills – knowledge of database query languages like SQL and Python

 

Solid understanding of data engineering practices, ETL processes, and data warehousing concepts and familiarity with Azure data platforms.

• Proven experience in data analysis and report/dashboard creation using SQL, Python, MS Excel, and Power-BI.

• Strong problem-solving skills with a focus on deriving

actionable insights from complex datasets.

• Excellent communication and collaboration skills.

• Ability to work independently and as part of a team.

• Attention to details.

 

Excellent organizational skills

 

• Strong mathematical and numeracy skills

• Critical Thinking skills

• Excellent communication (verbal and written)

• Ability to work in an open culture with a positive

approach.

HÖEGH LNG SERVICES AS is a multinational company organized and existing under the laws of Norway, was duly licensed by this Commission in accordance with the Omnibus Investments Code of 1987, as amended by RA 8756 and its implementing rules and regulations and with a favorable recommendation from the Board of Investments dated August 29, 2018, to establish its Regional Operating Headquarters in the Philippines doing business as Höegh LNG Services ROHQ to: engage in general administration and planning; business planning and coordination; sourcing/procurement of raw materials and components; corporate finance advisory services; marketing control and sales promotion; training and personnel management; logistics services; research and development services and product development; technical support and maintenance; data processing and communication; and business development.

Höegh LNG Services ROHQ

Höegh Evi is a pioneer within maritime energy infrastructure, providing fast-track floating LNG terminals enabling national and regional energy security around the world. Our purpose is to accelerate countries to energy security and transition by providing innovative and flexible marine energy infrastructure. The flexibility provided by floating terminal solutions also supports the transition to clean, carbon-free energy.

We are a truly global company, present in Norway, Germany, Lithuania, United Kingdom, the USA, Singapore, Indonesia, Egypt, Colombia, Brazil, Jamaica and the Philippines.

Owned by Larus Holding Limited, a 50/50 joint venture between Leif Höegh &amp; Co. Ltd. and Funds managed by Igneo Infrastructure Partners, we employ approximately 900 employees at sea and onshore.

The Data Analyst ensures accurate and complete entry of equipment technical details, spare part lists, and maintenance tasks into AMOS, based on data identified by Marine Engineers. Sourced from vessel drawings, manuals, and technical references, the data must maintain integrity between equipment, spares, and maintenance tasks. Encoding is typically done using Excel or SQL scripts, but the employee is encouraged to suggest improved or more efficient methods. All work must follow company and maker standards while supporting continuous improvements in data handling and validation.

<ul>
	<li>Receive and process equipment technical details, spare part lists, and maintenance tasks identified by Marine Engineers from vessel drawings, manuals, and other references.</li>
	<li>Prepare and standardize data for encoding, ensuring correct structure, formatting, and alignment with company and maker standards.</li>
	<li>Encode data into AMOS, using Microsoft Excel, SQL scripts, or other approved methods that maintain the integrity between equipment, spares, and maintenance routines.</li>
	<li>Maintain clear and organized work files for each vessel project, including raw data, processed templates, and final upload records for traceability and quality control.</li>
	<li>Perform data checks and validations to ensure consistency, accuracy, and completeness prior to system upload.</li>
	<li>Suggest and implement improvements in data preparation, encoding methodologies, or tools to enhance efficiency and accuracy.</li>
	<li>Coordinate with Marine Engineers and project stakeholders to clarify data requirements or resolve discrepancies.</li>
	<li>Adhere to project timelines and support documentation standards for audit, handover, and future reference.</li>
</ul>

Fleet Management Support Data Analyst

Key Responsibilities:

<ul>
	<li>Data Transformation: Utilize SQL and Python scripting to clean, transform, and aggregate complex, messy datasets from various sources, preparing them for analysis.</li>
	<li>ETL Support: Collaborate with Data Engineering to monitor, troubleshoot, and optimize data loading and transformation workflows (ETL/ELT)</li>
	<li>Reporting &amp; Visualization: Design, develop, and maintain high-impact dashboards and reports using Power BI to track key business metrics (KPIs).</li>
	<li>Advanced Calculation: Apply DAX (Data Analysis Expressions) to create sophisticated measures, calculated columns, and complex aggregations within Power BI models.</li>
	<li>Business Insight: Conduct deep-dive analyses to identify trends, root causes, and business opportunities, presenting findings clearly to non-technical stakeholders.</li>
	<li>Data Governance: Ensure data accuracy, consistency, and compliance across all reports and analyses.</li>
</ul>

Data Analyst [ ETL | Python | SQL]

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>

M2.0 Communications specializes in business, technology and lifestyle communication, with emphasis on public relations, stakeholder management and digital communication. We focus on public relations, social media marketing and media analytics, and pride ourselves as experts in earned media communication.

Starting with one employee in 2003, M2.0 now has a total of around 50 full-time staﬀers composed of a dozen manager/director level employees and more than 40 specialists. During this time, the company came to work with dozens of national and international brands including Intel, Dell, Carrier, Bank of the Philippine Islands. Currently, we work with brands including UNICEF, Philips, OPPO, Del Monte, Bayo and the Government of the Philippines.

M2.0's diﬀerentiation lies in the robust support oﬀered by its diﬀerent service units, as well as its knowledge and experience in stakeholder management, technology and business PR. The agency also oﬀers a unique media monitoring service that is currently one of the most responsive and comprehensive in the Philippines today.

M2.0 Communications Inc.

As a 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

<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>

*Data Analyst* {With PowerBI, Tableau, Sql & Python}

<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

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

What you'll be doing:

Designing, building, and maintaining scalable and efficient data pipelines to extract, transform, and load data from various sources

Developing and optimising data models to support business intelligence and advanced analytics

Collaborating with cross-functional teams to understand and address business requirements

Automating data-related processes and workflows to improve data quality and reduce manual interventions

Continuously monitoring and optimising data systems to ensure reliability, performance, and security

Providing technical expertise and guidance to support the implementation of data-driven solutions

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>

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

Performance Management and Coaching

Python

Complex Problem-Solving

Stakeholder Management

People Management

Product Development

Data Engineering Manager

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.

#li-hybrid

Junior Data Engineer

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>

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