Data Visualization Engineer (work-from-home)

Nelnet Philippines, Inc.

Metro Manila

On-site

PHP 700,000 - 1,000,000

Full time

11 days ago
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Job summary

Nelnet Philippines, Inc. is seeking a Data Visualization Engineer II to collaborate with Product, IT and Data Science teams to shape reporting needs and data requirements. You will craft effective visualizations and dashboards that inform decisions and enhance user experience.

The role focuses on Descriptive Statistics, BI systems, and building dashboards in PowerBI within a data-driven environment that uses Snowflake and SQL for data management.

Qualifications

  • Bachelor's degree or equivalent experience in statistics/IT/computer science/engineering.
  • Experience with Descriptive Statistical Analysis.
  • Experience with Business Intelligence systems, developing dashboards and visualization.
  • Experience with PowerBI.
  • Experience with Snowflake or other Data Warehouse environments is desirable.
  • Experience with SQL, including complex queries is desirable.

Responsibilities

  • Work with product, IT and Data Science teams to create innovative and valuable visualizations to identify patterns, trends, and exceptions.
  • Provide Descriptive Statistical Analysis with available data.
  • Provide data engineering input for Analytical Base Tables for descriptive statistics.
  • Design effective dashboards for improved operations.
  • Move existing reports to visual analytics dashboards.
  • Handle requests for visualization as the BI environment matures.
  • Translate data and analysis requests into visualization solutions.

Skills

Descriptive statistics
BI systems
Dashboards/visualization
Analytical thinking
Teamwork

Education

Bachelor's degree in Statistics, IT, Computer Science or Computer Engineering

Tools

PowerBI
Snowflake
SQL
ETL/ELT development

Job description

About the role

The Data Visualization Engineer II is instrumental in working closely with the Development, Product and Data Science Teams in determining reporting needs as well as data requirements. This position is also responsible for creating effective and insightful reporting visualizations, which will play a major role in key decision-making, user experience enhancements, and process improvements.

Key responsibilities
  • Work with Product, IT and Data Science teams to create innovative and valuable visualizations to identify patterns, trends, and exception
  • Provide Descriptive Statistical Analysis with available data
  • Data Engineering skillset to provide Dimension and Metric Requirements for Analytical Base Tables for Descriptive Statistical use
  • Design effective and useful Dashboards for improved operations
  • Move existing reports to visual analytics dashboards
  • Handle requests for visualization and dashboarding as BI and overall Data Visualization (DV) environment matures
  • Translate data and analysis requests into solutions using a variety of data analysis and visualization tools
About you
  • Bachelor's degree in Statistics, IT, Computer Science or Computer Engineering or equivalent experience
  • Experience with Descriptive Statistical Analysis
  • Experience with Business Intelligence systems, developing dashboards and visualization
  • Experience within PowerBI
  • Experience with Snowflake or other Data Warehouse environments is desirable
  • Experience with SQL, including complex SQL queries is desirable
  • Technical and Statistics competency
  • Logical, analytical, and creative approach to solving problems
  • Ability to work both in a team and independently
  • Ability to handle multiple priorities and work under pressure
  • Good time management skills to plan and organize own work
  • Ability to work with the data teams and technical teams
  • Knowledge of ETL/ELT development preferred
  • Ability to adapt to change

Most importantly, we are looking for people who can live by our Values:

  • Providing superior customer experiences
  • Creating an awesome work environment
  • Pursuing opportunities for diversification and growth
  • Communicating openly and honestly
  • Giving back to the communities in which we live and work
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