Data Analyst [100% WFH graveyard]
Salary: ₱40,000 – ₱60,000 per month
Overview
The Data Analyst will be responsible for assisting in the collection, analysis, and interpretation of data gathered from program administrators. This role involves working closely with senior data analysts and business teams to identify trends and insights to support decision-making processes. The Data Analyst will also contribute to the development and maintenance of databases and operational reports.
Responsibilities and Duties
Assist in collecting and organizing data from offshore operations
Clean and preprocess data to ensure accuracy and consistency
Support senior analysts in analyzing data to identify trends, patterns, and anomalies
Collaborate with teams to understand data requirements and challenges
Manage data collection from various locations and drop to applicable ingestion points
Proactively communicate with business partners on missing files and data errors identified in the schematic review process
Perform logging and status updates for all program data trackers and ensure accuracy of the Program Data Dashboard Manager
Assist in creating data visualizations and reports to communicate findings effectively
Participate in meetings and discussions to provide insights and recommendations based on data analysis
Stay updated on industry trends and best practices in data analysis
Requirements
Experience in Computer Science, Data Science, Statistics, or related fields
Strong analytical and problem-solving skills
Familiarity with data visualization tools like Tableau
Excellent communication and interpersonal skills
Ability to work independently and as part of a team
Attention to detail and accuracy in data analysis
Experience with data manipulation and analysis using SQL
WFH Requirements
Dedicated quiet workspace at home
Minimum Device Requirements
Core i5 / M2 or better
8 Mbps RAM
256 Gb SSD Storage
Minimum Connectivity Requirements
Main internet: 50 Mbps upload and download speed
Backup internet: 50 Mbps upload and download speed (different carrier)
Nice-to-Haves
Knowledge of statistical methods and techniques.
Familiarity with cloud platforms such as Google Cloud/Big Query.
Understanding of data governance principles and practices.
Must be very experienced in excel including validation, queries, calculations, and macros.