The Data Analyst is responsible for troubleshooting data issues between systems, working with imported and exported data, investigating user reports of data corruption, suggesting changes to Operations and Engineering teams to improve the quality of data; troubleshooting internal and external systems to ensure they work as expected, managing customer data and providing reporting and analytics assistance to Operations and Support team members. The ideal candidate should have excellent written communication skills, experience with various data processing tools, and at least one year of experience as an analysts, database administrator, or similar technical roles. Collaboration across departments and teams is very important.

Your Perfect Job Awaits! Data Cleansing / Data Formatting – 100% Work From Home, Day Shift!

Work Schedule:

• Hours: Day shift! Part-time (minimum 2 hours per day)
• Pay: PhP 200 per hour
• Location: Anywhere in the Philippines – work from home, remote, or province
• Work Type: 100% Work From Home

About the Work:

Are you an experienced Data Cleansing / Data Formatting specialist looking for an exciting new career opportunity with a work-from-home lifestyle? Join a leading data science organization and take advantage of this excellent opportunity. We connect top talent with top companies, and this role is perfect for individuals passionate about advancing their careers, gaining international experience, delighting our client, and enjoying the benefits of working from home.

About the Company:

Our client is a leader in their field, dedicated to providing exceptional services to their clients. They value innovation, efficiency, and client satisfaction and understand the crucial role this position plays in achieving their objectives.

Duties and Responsibilities:

• Data Review and Validation: Examine data for accuracy, consistency, and completeness. Identify and correct errors or inconsistencies.
• Data Cleansing: Remove duplicate records, standardize data formats, and rectify inaccuracies in datasets.
• Data Formatting: Convert data into a standard format suitable for analysis or reporting. Ensure data is organized and structured according to project requirements.
• Data Integration: Merge data from various sources into a unified format and ensure compatibility.
• Documentation: Maintain detailed records of data cleansing processes, methodologies, and changes made.
• Quality Assurance: Implement and follow data quality standards and practices. Conduct regular audits to ensure data accuracy.
• Collaboration: Work with other teams, such as data analysts, data scientists, or IT departments, to understand data requirements and address issues.
• Reporting: Generate and present reports on data quality, cleansing progress, and formatting results.
• Troubleshooting: Identify and resolve data-related issues or anomalies. Provide solutions to improve data quality.

We are seeking a motivated Junior Data Analyst with experience in Power BI and strong Excel skills to join our dynamic team. The ideal candidate will have a passion for data and be capable of creating insightful Power BI reports and dashboards that drive business decisions.

This is a part time role up to 20 hours, hours can be increased for the right candidate

based on performance.

While proficiency in SQL and Amazon QuickSight is a bonus, we are committed to investing in the right candidate by providing training and upskilling opportunities.

The successful candidate must have excellent communication skills in English, the ability to manage their workload independently, and a knack for quickly grasping new concepts. This role offers a fantastic opportunity to grow your data analysis skills in a supportive environment while contributing to impactful projects.

• Join regular check-in calls and provide updates on progress.
• Flexible working hours to accommodate different time zones and project needs.
• Strong communication skills, both written and verbal.
• Ability to manage time effectively and prioritize tasks in a dynamic work environment.
• Work on projects for some of the biggest brands in the APAC region.
• Self-motivated with the ability to work independently and collaboratively within a team.
• Adaptability to handle changing priorities and multiple projects simultaneously.
• Proficiency in Power BI for creating reports, dashboards, and data visualizations.
• Strong Excel skills, including advanced functions, pivot tables, and data analysis.

As a Data and Sales Specialist, you will play a crucial role in ensuring a smooth and efficient transaction process for our clients. You will be responsible for managing all administrative tasks related to real estate transactions, from contract to closing. The ideal candidate will have excellent organizational skills, strong attention to detail, and a deep understanding of the real estate industry.

• Coordinate and manage all aspects of real estate transactions from listing to closing
• Review contracts and purchase agreements to ensure accuracy and completeness
• Liaise with real estate agents, lenders, escrow officers, and other parties involved in the transaction process
• Prepare and distribute necessary documents such as contracts, addendums, and disclosures
• Ensure all necessary paperwork is completed and submitted in a timely manner
• Assist in scheduling inspections, appraisals, and other necessary appointments
• Communicate with clients, providing updates and addressing any questions or concerns

• Designing and implementing the architecture of ETL using PySpark and SQL language in AWS Glue.

• Designing and developing transactional and analytical data structures.

• Aligning the Data technical capabilities to business objectives.

• Developing reporting solutions to support Business Intelligence, including resolving problems related to data analysis and reporting services.

• Establishing and maintaining policies, operational procedures, and associated documentation for user interaction with the database environment.

• Following client’s standards and best practice for the deployment of AWS components and code using source code controls such as BitBucket, and utilizing DevOps tools (e.g., Terraform), apps, and CLI as appropriate.

• Recommending improvements to existing approaches and practices within Data Governance forums and other appropriate meetings.

• Application development, Data security, SLAs/production support, Systems compliance, R&D.
• The above functions shall be performed during regular work hours (Client US time-zone Monday - Friday, 9 hours/day including breaks), remotely or work from home. 

Powergold Engineering Enterprises is a trusted leader in providing engineering solutions, specializing in high-quality services in Refrigeration and Air Conditioning (RAC). With a strong focus on innovation and efficiency, we are committed to delivering sustainable solutions to our clients.

We are currently hiring for Company Drivers to join our dynamic team. If you're passionate about delivering excellent service and have the skills and qualifications we need, we want to hear from you

Responsibilities:

• Safely drive company vehicles to various destinations as required
• Ensure vehicle maintenance and cleanliness
• Assist in loading and unloading goods when necessary
• Comply with traffic rules and safety regulations
• Report any vehicle issues to the management
• Perform additional duties as assigned

We are looking for a reliable and detail-oriented Encoder to join our team. The Encoder will be responsible for converting data into specific formats, ensuring that all encoding tasks are completed efficiently and accurately. This role requires technical proficiency, attention to detail, and the ability to work under tight deadlines.

We are seeking a highly motivated and results-driven sales representative to promote and sell our CNC machineries (mainly Laser Cutting Machine) to various industries across the Philippines. The ideal candidate will have a strong background in sales, an understanding of industrial machinery, and the ability to effectively demonstrate the advantages of our laser technology. This role involves developing new business opportunities, managing key accounts, and offering solutions tailored to our clients’ needs in various industries including manufacturing, metal fabrication, signage, and more.

• Develop an ETL jobs
• Assures the efficiency of using cluster resources applied to an ETL job
• Design and implements cost-effective framework level big data solutioning
• Provide support on the big data issues encountered on company proprietary enterprise data system and frameworks
• Enhance an ETL job applying best practices and the spark configuration balancing Participates in reviewing project and program logic requirements
• Cascading of macro-change in framework and system to team and other teams working and affected to the job
• Conversion and migration of job from one platform to another big data platform
• Integration of a job from its ingested source transforming it into various target like databases, extracts file and use case of streaming platform
• Maintains and/or handle source core repositories
• Document technical deliverable modules
• Keep technology trends with relation to big data ETL as much as possible
• Work on multiple ETL jobs implementing java-spark, airflow and loading in different data warehouses and for different reports like financial reports, leads reports, network subscriber reports and extracts like cell-site extracts, telcoscore, gscore, etc.
• Troubleshooting, testing and pre-implementing ETL’s data mapping in pyspark
• Work on multiple ETL jobs for Datamart, the data mainly focuses on Globe’s broadband, postpaid and prepaid to reimagine the customer experience for machine learning engineers to use
• Macro-conversion of ETL jobs from running on-premises into all cloud-based and running on cloud-based cluster and bigdata tools
• Develop an ETL jobs for Digital Growth and Transformation use cases to help business envisions the financial summary report and the data use to help track customer’s payment transaction, rewards, subscriptions and gain a macro-view on regional leads
• Use Databricks for the migrations of the other jobs to have control on managing compute usages.
• Applying techniques on spark reading and writing sources and targets to reduce runtime Work on solutioning for cost-effective ETL job implementations together with engineers in data quality and data architect.

•⁠ ⁠Manage Lark emails; monitor Lark group messages

•⁠ ⁠System monitoring for Telegram / Grafana / Cloudflare

•⁠ ⁠Perform initial troubleshooting or contact relevant personnel for issue resolution

•⁠ ⁠Update project versions via Jenkins

•⁠ ⁠Handle whitelist requests from the business department / create VPNs

•⁠ ⁠Address SSL certificate alerts

•⁠ ⁠Update the GeoIP database for all projects weekly

•⁠ ⁠Coordinate issues with third-party vendors and provide server logs

•⁠ ⁠Manage DNS records, change name servers, and redirect domains

• Analyze and Organize raw data
• Build data systems and pipelines
• Evaluate business needs and objectives
• Combine raw information from different sources
• Explore ways to enhance data quality and reliability
• Identify opportunities for data acquisition
• Collaborate with data scientist/BI developer on several projects
• Extract, transform, and load data into custom reports for integrations with malls and external systems.

We are seeking a highly experienced Senior Data Engineer with over 10 years of proven expertise in data engineering and strong proficiency in data modeling. The ideal candidate will be responsible for leading the development, implementation, and maintenance of data infrastructure, ensuring high quality, performance, and reliability. This role requires a deep understanding of data architecture, ETL processes, and data modeling techniques to support the organization's data-driven initiatives.

Key Responsibilities:

• Design, develop, and maintain scalable data pipelines and ETL processes to support data integration, transformation, and loading from various sources
• Collaborate with cross-functional teams to understand data requirements and translate them into efficient data models and structures.
• Implement best practices for data governance, data quality, and data security to ensure compliance and integrity of the data infrastructure.
• Optimize and tune database systems and queries for performance and scalability.
• Lead and mentor junior data engineers, providing guidance and expertise in data engineering best practices.

The Channel Sales Manager (Direct Selling) will develop and manage MOHS Analytics' direct sales network. The role involves building strong relationships with channel partners, clients, and downline networks to meet sales targets. The manager will work with the Marketing Department to plan and execute sales activities, conduct fieldwork, and provide training to partners. This position is key to driving sales growth, ensuring business processes run smoothly, and supporting direct sales partners in achieving their goals.

• Install, configure, and maintain hardware (servers, workstations, networking equipment) and software (operating systems, business applications, security software) for the organization.
• Provide technical support to end users, troubleshooting hardware, software, and network-related issues.
• Ensure that all systems and networks are secure, regularly updated, and optimized for performance.
• Monitor IT infrastructure, including network performance, servers, and systems to ensure high availability and minimal downtime.
• Assist in the implementation and maintenance of data backup and disaster recovery solutions.
• Collaborate with internal teams to identify and resolve technical issues, and help ensure smooth technology integration across departments.
• Document technical issues and resolutions for future reference and knowledge sharing.
• Stay up-to-date with the latest technological trends, tools, and industry best practices.