Responsibilities:

• Design, develop, conducts unit testing, and maintains complex Tableau reports for scalability, manageability, extensibility, performance, and re-use.
• Determine the best implementation that will meet the design of the architect.
• Work with team members to create useful reports and dashboards that provide insight, improve/automate processes, or otherwise add value to the team.
• Work through iterative review cycles to deliver results that meet or exceed user expectations.
• Ensure consistency by adhering to a set of software coding and style guides.
• Resolve support tickets related to Tableau dashboards.

Requirements

• Bachelor’s degree or diploma in Business, Economics or in related majors
• At least 2-3 of experience in developing and working Tableau/Data Visualization tool driven dashboards, analytics.
• Ability to query and display large data sets while maximizing the performance of workbook.
• Ability to interpret technical or dashboard structure and translate complex business requirements to technical specifications.
• Must have working knowledge of Tableau Server on content management.
• Understanding of advanced calculations and statistical functions.
• A solid understanding of SQL, relational database management system, data modeling, and normalization.

Interested Applicants, please email your resume to [email protected] (R1441955), stating the position as the subject title in the email. All Applications will be handled with strict confidentiality.

Position Overview

As a Data Engineer at ClearWind, you will play a pivotal role in the development and maintenance of our innovative geospatial data system. This system is vital to ClearWind’s data operations, encompassing two Linux virtual machines (VMs) and API connections to numerous internal software tools. Your primary focus will be on creating and ensuring a seamless data integration between Google Earth Engine analysis and the R server, a critical component of our VMs.

You will be entrusted with the crucial task of managing data flow from field operations to headquarters, architecting and refining the central geospatial data system, and processing project data in line with Verra VCS methodologies and CCB Standards. Your responsibilities will extend to designing new data flow architecture, automating processes, and ensuring that our data analysis upholds the highest standards of statistical rigor.

In this role, you will work closely with several key team members, contributing significantly to the success and growth of ClearWind’s projects. This position reports to the Global Head of GIS and the Head of Systems.

Duties

· Lead the development and optimization of virtual machine-based data and software infrastructure on Google Cloud for the specific purpose of processing carbon emissions data and conducting sophisticated data analysis.

· Collaborate with the members of the GIS team to perform analysis on Google Earth Engine (GEE) to extract relevant geospatial data; Integrate geospatial datasets to extract and monitor carbon emissions data over time.

· Translating VCS Verra Methodologies into a cloud-based system that and either be given an interface to receive and process raw field data or be used to input minimum screening criteria for a project for initial scoping and feasibility assessments.

· Design and deploy robust data ingestion pipelines using programming languages Python and R to ensure the seamless integration of diverse data sources, including GIS and statistical datasets.

· Spearhead the creation of custom data transformation and loading scripts using bash and Python; Oversee the design and implementation of multiple PostGIS databases, tailored for the management of large-scale carbon emissions data analysis.

· Host and manage Linux VMs, including multiple servers and applications using Docker.

· Ensure the continuous and real-time collection and aggregation of data from field operations to headquarters for immediate analysis; Implement a rigorous statistical analysis framework that ensures compliance with various relevant standards and methodologies.

· Continuously optimize the system and infrastructure for efficiency and ease of use. Ensure full transparency, enabling 3rd-party verification of data and methodologies.

· Develop web applications for real-time data visualization, incorporating interactive and user-friendly automatic statistical analysis features. The current application and dashboards are created in Shiny (R Server).

· Establish an evidence validation framework that can cross-reference and reconcile data from multiple sources if required.

· Contribute to the writing and development of the Project Design Document for ClearWind’s future projects.

Required Skills:

· Proficiency in programming, mathematics, and statistics for data processing.

· M.S. in Geography, Information Science, or Earth Sciences, with 4-5 years of experience in a related field

· Demonstrated ability to manage a data from variety of sources and track updates and modification

· Knowledge and Experience with Geographic Information Systems (GIS), including Google Earth Engine and Google Earth Engine application development

· Proficiency with interpreted data languages for carbon data, including one or more of the following: Python, Javascript for Google Earth Engine, R, and/or IDL. Proficiently in R is essential.

· Experience with version control (i.e. GitHub) and agile development practices

· Proficiency working in a UNIX/Linux command-line environment and shell scripting

· Experience with reading, subsetting, interpreting, and utilizing geospatially referenced and structured data for research and applications.

· Familiarity and experience in metadata standards and conventions

· Excellent data documentation skills

· Demonstrated ability to work both independently and in a dynamic team environment while dealing with multiple issues, tasks, and priorities concurrently

· Experience in Google Cloud Platform (GCP) and web development is ideal

· Familiarity with containerisation on Docker is recommended

Work Condition & Team

The chosen candidate will mainly work at our modern office in the central area of Singapore. They will also be required to travel regularly to project sites within the region. The candidate will be part of the dynamic and diverse team dedicated to making a meaningful, significant impact against climate change.

Our mission involves preserving and restoring crucial ecosystems in Southeast Asia. Together, we aim to build a greener and more sustainable future.

If you believe this is the ideal opportunity for you, we encourage you to apply through our job board. Please provide the most recent version of your CV along with your availability details.

Come Join Us

ClearWind is a Singapore-based forest carbon project development company. They design and develop nature-based projects across Southeast Asia to tackle climate change by protecting tropical forests and restoring natural ecosystems. ClearWind aims to achieve this through global carbon and climate markets, while also ensuring that local communities and ecosystems benefit from their projects. They help communities leverage natural capital for economic development, while also assisting companies in meeting their climate targets.

Aboitiz Data Innovation (ADI) is one of the leading up and coming start-ups in the field of Data Science and Artificial Intelligence. We believe data can drive change for a better world by advancing businesses across industries and communities. We are seeking talented Lead Data Scientists who are passionate about defining and implementing information management solutions to address operational needs within businesses and motivated to work on GenAI.

If you are excited to work in a fast-paced start-up environment, this role will provide a great opportunity to grow your career with us.

Responsibilities

• Work with stakeholders/clients to identify opportunities for leveraging company data to drive business solutions
• Mine and analyse data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies
• Assess the effectiveness and accuracy of new data sources and data gathering techniques
• Develop custom data models and algorithms to apply to data sets
• Use predictive modelling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes
• Coordinate with different functional teams to implement models and monitor outcomes
• Develop processes and tools to monitor and analyse model performance and data accuracy

Qualifications

• Graduate or Post Graduate degree in Computer Science, Statistics, Informatics, Information Systems, or related quantitative fields
• Knowledge of advanced statistical techniques and concepts (regression, constrained optimization, sentiment analysis, graph community detection, etc.) and experience with applications
• Experience using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw insights from large data sets
• Strong problem-solving skills with an emphasis on product development
• Excellent written and verbal communication skills
• A drive to learn and master new technologies and techniques
• Experience with distributed data / computing tools: Hadoop, Kafka, Attunity, Dask, Spark, etc. is a plus
• Experience developing and/or deploying in environments (AWS, GCP) and containerization techniques (Docker, Kubernetes, AWS Elastic) is a plus
• Experience working with and creating data architectures
• Experience in the design, planning, and implementation of data science projects
• Experience creating and using a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) is a plus.

Position Summary

This position is responsible for guiding a team of logistic coordinators associates in the provision of logistics operational functions such as customer service, trucking coordination and the generation and maintenance of operations documents, reports, correspondence and expenses. Assist the Supervisor operations in the daily office activities and communications to customers.

Responsibilities

Primary Responsibilities

• Responsible for the coordination and preparation of all necessary documentation for the movement of warehouse cargo.

• Liaison with trucking contractors for local deliveries.

• Create and maintain reports and files for all operations records, correspondence, plans and expenses.

• Coordinate with operations personnel to ensure readiness of cargo for deliveries.

• Update WMS, TMS on Cargo Status.

• Liaise with customers for all matters pertaining to shipments and deliveries.

• Handle any other ad-hoc / administrative duties.

Qualification Summary

Experience:

This position requires minimum 1 years of relevant experience in Logistics industry.

Education:

Minimum 'O' levels or Diploma in Logistics or Business Administration.

Skills:

• Good working knowledge of the following logistics operations areas – distribution, manufacturing, inventory planning, materials management.

• Good Interpersonal skills

• Good Communication skills

• Good Knowledge in Warehouse Management System (WMS)

• Good customer relationship management skills

• Proficient in MS Word, Excel, Outlook etc

About the Mediatropy

Mediatropy is an independent award-winning full service Digital Agency with over 70 people across offices in Singapore, Indonesia, Vietnam, Thailand, Malaysia, Philippines, Hong Kong and Shanghai. We provide full marketing service (Strategy, Creative Content, Web Development, Paid Media, Data & Analytics, SEO/SEM and Social) to a diverse clientele, specialising in anything from hospitality, F&B, education to financial services. We are passionate about cultures, work life balance, craft elevation and a strong dose of personal development.

Job Description

As the Data & Analytics Senior Manager, you will be responsible for harnessing the power of data to drive business growth and enhance our digital marketing strategies. You will lead a team of data analysts and work closely with our clients to implement data-driven decisions. Your primary focus will be on digital marketing data, media performance data, analytics visualization, GA4 implementation, cross-platform tracking, and customer data segmentation. Additionally, experience in the following areas is highly valued:

Key Responsibilities

Digital Marketing Data Analysis:

• Analyze digital marketing data to identify trends, opportunities, and areas for improvement.
• Utilize AI to organize and analyze data, extracting actionable insights.

Media Performance Data Management:

• Manage and analyze media performance data from various platforms such as Google Ads, Facebook Ads, and other advertising channels.
• Optimize campaigns based on data insights to improve ROI.

Analytics Visualization & Analysis

• Create and maintain visually engaging reports and dashboards to present data insights effectively.
• Utilize tools such as Looker Studio and Microsoft Power BI to enhance data visualization capabilities
• Generate written insights and analyses that are meaningful to data owners and stakeholders.

GA4 Implementation:

• Lead the implementation and configuration of Google Analytics 4 (GA4) for clients' websites.
• Lead the audit and analysis of tracking effectiveness.
• Ensure GA4 tracking is accurate and aligns with clients' business goals.

Cross-Platform Tracking and Optimization:

• Implement and manage cross-platform tracking solutions to provide a holistic view of customer interactions.
• Ability to make strategic recommendations based on cross-platform data analysis to optimize campaigns

Customer Data Segmentation:

• Segment customer data from CDPS to create personalized marketing strategies.
• Integrate data from Customer Data Platforms with other marketing platforms.

AI-Powered Data Organization:

• Leverage AI to efficiently organize and analyze data for more meaningful insights.
• Stay updated with the latest advancements in AI and data analysis techniques.

Social Listening and Social Media Platforms Integration:

• Utilize social listening tools to monitor and analyze conversations and trends on social media platforms.
• Integrate data from various social media platforms into analytics efforts.

Lead conversations with clients

• Strong verbal and written communication skills in English language
• Ability to write and present persuasively

Qualifications:

In addition to the qualifications mentioned earlier, the ideal candidate will have:

• Some experience or motivation in harnessing AI tools to organize and analyze data effectively.
• Proficiency with Looker Studio, Google Data Studio and/or Microsoft Power BI for advanced data visualization.
• Familiarity with social listening tools and the ability to integrate data from multiple social media platforms.
• Knowledge of Customer Data Platforms (CDPs) and their integration into marketing strategies.
• Experience with tracking implementation on various marketing platforms including but not limited to email automation, social media platforms, Google and Meta Platforms, Tik Tok, mobile apps downloads and broad world wide web analytics.
• A strong passion for staying updated with emerging technologies in the data and analytics field.

How to Apply

If you meet the qualifications listed above and have experience in AI-driven data analysis, Looker Studio, Microsoft Power BI, social listening tools, social media platform integration, and customer data platforms, we encourage you to apply for this position.

Please submit your resume, a cover letter, and any relevant work samples to [email protected]

Job Description:

• Must be a Diploma/Bachelor's Degree holder.

• Hands-on implementation experience in building full-stack Restful web Applications.

• Experience in the following domain area/Technology/Programming languages

• Communication/Data Protocols: Modbus, OPC UA/AD, IEC 101/104, TCP/IP, SFTP, MQTT, AMQP

• Programming languages: JavaScript, Python, C/C++, SQL

• Experience in Linux, Docker, PostgreSQL, And Firewall management

• Experience in Code Management and Deployment

• Certified in Microsoft Technologies will be an added advantage

• Knowledge in Azure Devops, Azure IOT and Azure sphere will be an added advantage.

Roles and Responsibilities:

• The candidate will be responsible for designing and implementing data acquisition solutions and systems that meet the requirements of our clients.

• The successful candidate will be expected to have strong problem-solving skills and be able to troubleshoot and debug complex issues.

• The candidate will also be responsible for developing and maintaining documentation for solutions, including design specifications and test plans.