Data Analyst
7 days ago
Expectations:
- Employment Type: Full-Time; Permanent (Direct Hire)
- Budget: Php 35,000 - Php 50,000
- Work Setup & Location: Onsite - Ortigas, Pasig
- Work Schedule: Mondays - Fridays, day shift
- Industry: Audit and IT/Finance
About the Job:
We are looking for a Data Analyst to join our client's team, working under the direct supervision of a Data Scientist. This role involves collecting, organizing, and interpreting statistical data to support both internal teams and external clients in making informed decisions.
- Interpret data, analyze results using statistical techniques and provide ongoing reports.
- Acquire data from primary or secondary data sources and maintain databases/data systems.
- Identify, analyze, and interpret trends or patterns in complex data sets.
- Enhance data collection procedures for building analytical systems.
- Filter and clean data by reviewing computer reports, printouts, and performance indicators to locate and correct code problems.
- Work with management to prioritize business and information needs.
- Locate and define new process improvement opportunities.
- Perform other functions as assigned by the business.
Qualifications:
- Bachelor's Degree in Computer Science, Information Technology, or a related field.
- At least three years of professional experience as a Data Analyst.
- Strong knowledge of and experience with reporting packages (Business Objects etc), databases (SQL, etc), and programming (XML, JavaScript, or ETL frameworks).
- Technical expertise in data models, database design development, data mining, and segmentation techniques.
- Knowledge of statistics and experience using statistical packages for analyzing datasets.
- Ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
- Strong analytical and problem-solving skills with a high level of mathematical ability.
- Methodical, logical approach with accuracy and attention to detail.
- Ability to plan work effectively, meet deadlines, and adapt to a dynamic work environment.
- Understanding of ethical considerations in data gathering and analysis.
- Possesses excellent interpersonal and communication (written and verbal) skills.
- Can start immediately if possible.
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