Senior Analyst Data Visualization - Taguig

Taguig, National Capital Region
Posted yesterday
Logo TASQ Staffing Solutions
Company:
TASQ Staffing Solutions
Company Description:
Founded by experts with more than 70 years of collective experience in the staffing solutions industry, TASQ understands the unique challenges in the talent acquisition space and is committed to being the trusted partner of companies in their pursuit of hiring the best people to fill their manpower needs. Composed of highly skilled team members who have worked with organizations ranging from small-to-medium entities to large-scale enterprises (including Fortune 500 companies), TASQ is fully capable of meeting staffing demands at all levels and across different industries.
Contract Type:
Full Time
Experience Required:
3 to 4 years
Education Level:
Bachelor’s Degree
Number of vacancies:
1

Job Description

TASQ is looking for a senior analyst specializing in data visualization in Taguig.

The pre-screening interview will be conducted by phone.

Position Overview: Data Visualization - Senior Analyst (Taguig)

Qualifications:

A bachelor's degree in a relevant field (computer science, math, or statistics) is preferred.
Minimum of 4 years of data development experience.
At least 2 years of leadership experience.
Minimum of 4 years in the BPO industry.
Significant experience with data development, specifically Oracle, SQL, and PostgreSQL, is required.
Experience with reporting tools like Power BI and Tableau is essential.
Role and Responsibilities:

Collaborate with internal teams and clients to understand objectives, existing reports, KPIs, data sources, and visualization requirements.
Identify key business metrics and determine how to represent data to support them.
Choose appropriate visualizations and create clear, visually appealing dashboards.
Build dashboards, automated reports, and templates using visualization tools, primarily Looker BI, but also Power BI, QlikView, Tableau, and iDashboards as needed.
Develop user-friendly interfaces for easy data theme identification.
Train team members on data visualization best practices.
Serve as the main contact for tool issues.
Understand technical architecture to adapt to changes and new software.
Work with end users to ensure results meet their requirements.