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.

Do you dream about working on spreadsheets and compiling data all day? Are you proactive, have common sense, hungry to learn, and want a long-term career with opportunity to grow?

Then we are looking for you!

We are looking for a detail-oriented Operations Support-Data Specialist with a strong focus on data. The ideal candidate will support our data processes, ensure data quality, and help with data-driven decisions. This role involves working with various departments to improve data workflows and resolve data issues.

Who We Are  

M-Power Solutions is more than just a company – we're a family of innovators, go-getters, and dream-chasers. Our mission? To empower businesses and individuals to reach their full potential through cutting-edge CRM and marketing automation solutions.

Our Company Values

• Dedication to Growth: We believe in being 1% better every day, both personally and professionally.
• Dedication to Showing Up: For our clients, for each other, and for ourselves.
• Dedication to Excellence: We strive for the highest standards in everything we do.
• Dedication to Empowerment: We uplift and enable others to reach their full potential.

Key Responsibilities:

Lead Grabbing:

• Identify and extract relevant data leads from various sources.
• Ensure data accuracy and relevance according to project requirements.
• Maintain up-to-date records of all leads obtained.

Skip Tracing:

• Utilize specialized tools and techniques to locate and verify missing or incomplete information.
• Cross-reference multiple data sources to ensure the accuracy and completeness of information.
• Maintain confidentiality and adhere to legal and ethical standards in data retrieval.

Data Management:

• Organize and maintain large data sets within Excel spreadsheets.
• Ensure data is accurate, up-to-date, and formatted according to company standards.
• Implement and manage data validation rules to maintain data integrity.

Data Optimization:

• Develop and implement efficient data organization and storage strategies.
• Automate repetitive tasks using Excel formulas, macros, and other tools.
• Continuously seek ways to improve data processes and workflows.

Collaboration and Communication:

• Work closely with other team members and departments to understand data needs and requirements.
• Provide support and assistance to other team members as needed.
• Communicate effectively with team leaders and management regarding project status and any issues encountered.

Technical Proficiency:

• Experience with database management systems.
• Proficiency in Microsoft Office Suite, particularly Excel.
• Proficiency in Macro Formulas is a plus.
• Knowledge of data processing and automation tools is a plus.

Working Hours:

• PH Graveyard Shift (8hrs/day, Monday-Friday US Timezone)

Compensation:

• $3/hr
• Weekly Payout

Benefits:

• PTO (Vacation Leave) that increases every year that you are with us
• Separate PTO for Sick Leave
• Maternity and Paternity Leave
• Bereavement Leave
• Evaluation and Opportunity for a Salary Raise every 4 months from start date.

Opportunity! All our positions have multi-tiered levels so you can get promoted in a matter of months. You get a detailed breakdown of what the qualifications are for every position and their respected levels, as well as the requirements and responsibilities that come with them.

Note: This job post is for talent pooling, so you can apply now to be considered when the role opens up soon!

• 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. 

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.

• 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.

· Data Interpretation and Analysis: Collect, analyze, and interpret data from multiple sources to identify trends, patterns, and opportunities within our sales, inventory, and customer data.

· Reporting and Insights: Develop and maintain insightful reports and dashboards using Excel and other analytical tools to communicate findings and recommendations to stakeholders.

· Data Maintenance: Ensure the accuracy, completeness, and consistency of data through regular audits, validation procedures, and data cleansing activities. Collaborate with IT and other teams to resolve data quality issues and optimize data storage and retrieval processes.

· Business Strategy Support: Collaborate with cross-functional teams to understand business objectives, provide data-driven insights, and contribute to strategic initiatives aimed at optimizing sales performance, inventory management, and customer satisfaction.

· Continuous Improvement: Drive continuous improvement in data collection processes, data quality, and analytical methodologies to enhance the accuracy and reliability of our insights.

PRIME Philippines is a leading real estate services company, consistently ranked among the top 10 in the country. With an expanding presence in Luzon (Quezon City), Visayas (Cebu City), and Mindanao (Davao City), PRIME Philippines provides comprehensive real estate solutions to a diverse client base, including landowners, investors, and tenants. As the company continues to grow, we are seeking a Data Analyst to support our expanding research and business intelligence functions.

Position: Data Analyst

Job Overview

The Data Analyst will be a key member of the research team, responsible for gathering, processing, analyzing, and interpreting complex data to drive strategic business decisions. The role involves working with large datasets related to the real estate market, economic trends, and property valuations, providing actionable insights to support both internal teams and external clients.

Key Responsibilities

• Collect, process, and analyze real estate data from various sources (internal databases, external market reports, surveys, and public records).
• Develop and maintain data models, dashboards, and reports to track key performance indicators (KPIs) related to market trends, property values, and investment opportunities.
• Perform statistical analysis and data mining to identify trends, patterns, and correlations within the real estate market and broader economic factors.
• Assist in the creation and maintenance of real estate market reports, publications, and presentations for internal and external stakeholders.
• Prepare and deliver clear, concise reports and visualizations that translate complex data findings into actionable insights.
• Support internal teams (Leasing, Brokerage, Marketing, and Business Development) by providing data-driven recommendations to enhance business strategies and decision-making.
• Respond to requests for ad-hoc data analysis from internal teams and external clients, ensuring timely and accurate delivery of results.
• Conduct trend analysis to forecast future real estate market conditions and potential opportunities.
• Utilize data analytics tools (Excel, SQL, Power BI, Tableau, etc.) to analyze large datasets and create meaningful visualizations.
• Collaborate with cross-functional teams to integrate data insights into marketing campaigns, investment strategies, and new business proposals.
• Stay current on new data analytics methodologies, industry trends, and real estate market dynamics.
• Perform other related tasks as required to support the research and business development teams.

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.

• 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.
• ABM Research: Create account dossiers through the gathering of insights and data about target accounts to inform and personalize marketing/sales strategies and tactics.
• Reporting and Visualization: Create reports and dashboards to visualize data insights and present findings to stakeholders, helping them make informed decisions.
• Data Analysis: Analyze large datasets to identify trends, patterns, and insights that can inform marketing strategies.
• Stakeholder Management: Understand, engage, and influence stakeholders to ensure their needs are addressed, building a good rapport with stakeholders.
• Cross-Functional Collaboration: Work with MarOps, Campaigns, Design, and Content to analyze gaps and opportunities.
• Campaign Optimization: Collaborating with marketing teams to optimize campaigns based on data-driven insights, such as adjusting targeting strategies, refining messaging, or reallocating budget.
• People Management: Serve as a senior buddy to data associates, offering guidance and support to foster their learning and development.

• Organize and sort business team data for analysis.
• Fulfill data analysis needs for management.
• Provide insights to support business decisions
• Collaborate with management to prioritize information needs.
• Identify and define opportunities for improving processes.
• Create structured, user-friendly systems to store and interpret data.
• Identify trends from raw data to guide system structuring.
• Other Duties:Execute additional tasks as assigned by the team leader.

• Able to collect and organise data from different sources in order to solve a business question
• Should be passionate about challenging and interrogating data and its interpretation
• Should be a creative thinker who can offer new perspective to analyse data and build storytelling.
• Able to uncover insights and drive clear and practical business impact through storytelling.
• Must be able to present findings to both business and technical stakeholders.

• Investigate and Fixing SQL Error on Every Site
• Monitor performance of database systems resources and query
• Adjust SQL query and Making New Report
• Optimize SQL Code as necessary
• Data migration from one application to another