Data Analytic Specialist, Continuous Improvement

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Weekly Work Hours

40

Compensation Range

Staff Range N06

Salary Minimum

$65,000.00 Annually

FLSA

United States of America (Exempt)

Position Type

Staff

Job Summary

This position is responsible for overseeing data tracking processes, areas of improvement, and ensuring accurate reporting and compliance. This role will collaborate with various teams to align strategies and support Dallas College's mission

Required Knowledge, Skills, and Abilities

• Analytical and designing skills related to program/system improvements

• Demonstrated knowledge and application of software automation and coding, with strong organizational and analytical skills, paying close attention to detail.

• Demonstrated knowledge of technology, software applications, and relevant computer information systems in the context of business process data analysis.

• Collaborative team player skills to operate within Dallas College data ecosystem, capable of working autonomously and in teams to achieve common goals.

• Ability to participate in project teams and ensuring successful project outcomes.

• Communication skills to effectively with diverse stakeholders, utilizing excellent oral, written, and interpersonal skills.

• Strong analytical data skills to capabilities in designing and building data tools and dashboards, and have proficiency in working with multiple systems to gather data and run analyses for multiple projects

• Ability to maintain confidentiality of information based on applicable laws and business guidelines. 

• Ability to utilize sound judgment and maintain data integrity through attention to detail; able to prioritize and meet aggressive deadlines.

• Ability to effectively utilize listening and interpretative skills to identify needs and requirements and develop successful solutions.

• Positive customer relations skills to actively clarifying and communicating expectations and objectives, interpreting policies and procedures and applying them fairly.

Physical Requirements

Normal physical job functions are performed within a standard office environment. Reasonable accommodation may be made to individuals with physical challenges to perform the essential duties and responsibilities.

Minimum Qualifications

• Bachelor’s degree in information technology, computer science, or related field preferred. An official transcript will be required when applicable. 

• Two years of experience with data analytics tools such as Excel, SQL Server, Python, R, DAX, PowerBI, or SAS etc.

• Data analytics certificate is strongly preferred.

• Current and valid Texas driver’s license required for offsite travel.

• Bilingual or multilingual preferred.

***Will be subject to a criminal background check. Some positions may be subject to a fingerprint check. ***

Key Responsibilities

• Ensures day-to-day workforce data tracking for reporting purposes, maintaining accuracy and integrity.

• Oversees the maintenance of current dashboards, ensuring they reflect up-to-date workforce data trends and insights.

• Manages semester and quarterly projects related to workforce completion, graduation, and credential course tracking, ensuring timely completion and data accuracy.

• Reviews, codes, and tests new and existing software applications to enhance workforce data tracking and reporting processes.

• Assists in analyzing and assessing current data systems and operations, recommending improvements where necessary.

• Efficiently manages semester and quarterly projects related to workforce data tracking, prioritizing tasks to meet deadlines and project objectives.

• Ensures compliance with project rules and provides regular updates on project progress.

• Provides technical support regarding workforce data tracking software and tools, promptly addressing issues to maintain smooth operations.

• Conducts data analysis to identify trends and insights, supporting decision-making processes within the workforce operations.

• Ensures the integrity of workforce data for reporting purposes, verifying completeness and accuracy.