The Data Specialist is responsible for managing, organizing, and analyzing data to ensure accurate and accessible information is maintained across various platforms. This role involves data entry, file management, supporting data transfer processes, and assisting with audits and reporting tasks. The ideal candidate will have exceptional attention to detail, excellent organizational skills, and the ability to work efficiently in a structured environment. The Data Specialist will also be required to adhere to the company's camera-on policy during working hours, facilitating clear communication and accountability. 

Benefits: 

• Competitive salary 
• Strong support system 
• Salary increase starting on your first year of employment (only for full-time roles | based on performance) 
• Monthly Performance Incentive (only for full-time roles | based on given metrics |can range from $40 - $50) 
• Health benefit ($30/month) 
• No computer activity monitoring 
• Training materials for upskilling provided 
• Paid holiday leaves (depending on the holidays that the client observes) 
• Paid sick leaves (sick leave convertible to cash if perfect attendance) 
• Paid planned leaves 
• 13th month pay 
• Allowance for SSS and Pag-ibig contribution ($20/month) 

Key Responsibilities: 

• Data Management: Maintain and organize both electronic and physical files, ensuring accuracy and easy accessibility. Regularly review and update files before transfer, making necessary corrections. 
• File Transfer Support: Assist with import and export processes, ensuring accurate data transfer and validation for internal and external use. 
• Audit Participation: Gather, organize, and provide necessary data for audit projects, collaborating with auditors as needed to facilitate accurate assessments. 
• Data Entry & Verification: Perform precise data entry tasks, including data input and verification, to ensure the completeness and accuracy of records. 
• Reporting & Analysis: Assist with basic data analysis and reporting tasks as directed by supervisors, gathering insights and compiling relevant data for internal review. 
• Communication: Adhere to the company's camera-on policy during working hours to enhance communication and accountability. 
• Attention to Detail: Ensure a high level of accuracy in all data-related tasks, with unwavering attention to detail for maintaining data integrity. 
• Ad Hoc Tasks: Support the team with various ad hoc tasks and special projects as required, ensuring timely and accurate completion. 

• Responsible for the design, construction, and optimization of data warehouse ETL, creating a reliable and stable foundational data layer capability;
• Fully understand business requirements and transform them into a reasonable data model, completing the development and implementation of business data requirements;
• Proficient in SQL, with expertise in handling complex queries and performance tuning;
• Familiar with mainstream BI tools and capable of application development based on BI tools, with preference given to those familiar with Grafana;
• Participate in other daily work including but not limited to data asset governance and data quality assurance;

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.

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.

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.

"Responsibilities:

- Responsible for the design, construction, and optimization of data warehouse ETL, building a reliable and stable foundational data layer capability;

- Fully understand business requirements and translate them into reasonable data models, completing the development and implementation of business data needs;

- Proficient in SQL, skilled in handling complex logic queries and performance tuning;

- Familiar with mainstream BI tools and capable of application development based on BI tools, with preference given to those familiar with Grafana;

- Participate in other routine tasks including but not limited to data asset governance, data quality assurance, etc.;