EPP Data Analyst

Austin Community College; United States; On-site; USD 55,000 - 75,000; Full time

Job summary

An educational institution is seeking a Data Analyst to assist in analytics supporting corporate business initiatives. The role involves participation in cross-functional teams to recommend technological enhancements, as well as developing strategies for analyzing business problems through analytical tools. Candidates will also be responsible for assisting in planning data collection systems. The position requires a strong focus on data analytics and collaboration with mentors for professional development.

Responsibilities

• Assist with analytics to support corporate business initiatives.
• Participate in cross-functional teams for technology enhancements.
• Identify key findings through analytics and evaluate historical data.
• Develop strategies for analyzing business problems using analytical tools.
• Plan and develop data collection sampling systems.

Job description

Functional Purpose

Performs a variety of analyses, including conducting analysis on financial and operational data that are used to make informed decisions regarding Postal programs, policies, procedures, and systems. This is a first level of a three-grade career ladder for data analytic professionals to develop the competencies, technical knowledge, and skills needed for success in the full performance Data Analyst & Statistician EAS-21 position. At this level, incumbents apply entry level technical knowledge, skills, and abilities to support department programs and projects. Candidates entering this career ladder will work closely with a mentor/coach and execute an Individual Development Plans outlining developmental requirements which have been tailored to the employee.

DUTIES AND RESPONSIBILITIES

1. Assists with the analytics to support corporate business initiatives and applies appropriate mathematical formulas and statistical techniques into procedures for the collection, processing, analyses, and reporting of data.
2. Participates in cross-functional teams to research and recommend technology enhancements to improve processes.
3. Assists in identifying key findings through analytics and evaluates historical data.
4. Assists in developing strategies for analyzing and prioritizing business problems using analytical tools and compiles datasets through database queries and other approaches for use in reporting and analysis.
5. Assists in planning and developing data collection sampling systems and exploratory data analysis techniques (e.g., statistical modeling) to identify meaningful relationships, patterns, or trends from complex sampling and census source datasets.