Remote

Data Specialist

$5-10[Hourly]
3-5 Yrs Exp
Edu not required
Part-time
AJ Valdez · HR Manager
Intelsify Corp
Business Service
51-100 Employees
Unfinanced / Angel
Data Modeling | SQL | MySQL | Phymyadmin | Python 3.x | Google Sheets or Excel | data cleanings | data validation | adapting scripts | clean dirty data
No Politics at Work
Data Specialist
AJ Valdez · HR Manager
Description

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.
Remote

POW Ecosystem Growth Officer

$3-6K[Monthly]
1-3 Yrs Exp
Bachelor
Full-time
crystal Liu · HR Director
initverse
Blockchain
<50 Employees
Project Management
POW Ecosystem Growth Officer
crystal Liu · HR Director
Description
  • Formulate and implement ecological development funding plans to promote the ecological construction and growth of partners.
  • Manage and coordinate cooperation within the project POW ecosystem to ensure the smooth advancement and implementation of the project.
  • In-depth analysis and research on POW ecological market trends, explore new cooperation opportunities, and expand ecological influence.
  • Work with teams in related fields such as wallets, blockchain browsers, and mining pools to optimize and promote the ecological construction of related products.
  • Track the development of POW public chain technology, participate in and promote related technology and business innovation, and enhance ecological value.
  • Participate in community building to promote the activity and user participation of the POW ecological community.
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