EPP Data Analyst

Southern Arkansas University; United States; On-site; USD 45,000 - 55,000; Full time

Job summary

A public university seeks an entry-level Data Analyst to perform various analyses of financial and operational data. Responsibilities include assisting with analytics for business initiatives, participating in cross-functional teams, and developing strategies for data analysis. The ideal candidate will possess basic statistical skills and a keen interest in data analytics, working closely with mentors to advance their career within the organization.

Qualifications

• Entry-level technical knowledge in data analytics.
• Basic understanding of statistical techniques and formulas.
• Ability to support business initiatives with analytics.

Responsibilities

• Assist with analytics to support corporate business initiatives.
• Participate in cross-functional teams to recommend technology enhancements.
• Identify key findings through analytics and evaluate historical data.
• Develop strategies for analyzing and prioritizing business problems.
• Assist in planning and developing data collection 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.