Data Engineer II

The Data Engineer II works with various Information Technology and business partners to acquire, transform, deliver, and monitor data and data pipelines for the purpose of data quality, data analytics, and data management in support of enterprise data strategy.

ESSENTIAL JOB FUNCTIONS

Support data acquisition, storage, transformation, analysis, and visualization projects as needed, including data modeling, data movement, data cleansing, and other data analysis techniques to collect, explore, and extract insights from data sets

Work with business owners and data analysts across the organization to understand requirements and develop technical specifications

Participate in developing a data governance framework to ensure integrity, reliability, and security of data

Provide ongoing training for data analysts and staff on development and use of relevant technology

Conduct validation and testing of reports, dashboards, and analytics to ensure consistent and accurate reporting across the organization

Provide recommendations to streamline and improve current business processes

Research emerging tools and applications that are applicable for the functional needs

Recommend and develop technical and automated solutions for manual processes

Suggest and implement team procedures and standards related to reporting and ad-hoc analysis to improve data accuracy, visibility, and value

Respond and fulfill data requests as required

Support ongoing reporting processes and upgrades

Communicate status to Business Analysts, Project Managers, and Management

SKILLS/EDUCATION/KNOWLEDGE/EXPERIENCE/ABILITIES

Required:

Bachelor’s Degree or equivalent experience

6+ years of experience with key technology (e.g., data acquisition, data movement, data warehouse, data analytics, data visualization)

Hands-on experience with developing and deploying reports & dashboards

Hands-on experience in creating and managing data flows

Strong analytical, quantitative and problem solving skills

Mastery of creating SQL queries to access complex data sources

Advanced level of proficiency with Microsoft Excel

Detail oriented with excellent organizational skills

Ability to identify opportunities for improvement

Self-motivated and able to multi-task, coordinate and prioritize concurrent tasks

Ability to successfully function in a high-pressure, fast-paced environment

Strong verbal and written communication and presentation skills

Ability to present complex information in an understandable and compelling manner

Ideal candidate will possess a passion for business intelligence, analytics and visual design concepts

Desired: 

Experience with Informatica

Experience with data visualization tools (Salesforce Einstein Analytics, MicroStrategy, DOMO)

Knowledge of data mining and advanced reporting techniques

Experience with statistics and predictive analysis

Experience with master data management and data governance

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O’Reilly Auto Parts has a proven track record of growth and stability. O’Reilly is full of successful career stories and believes in a strong promote-from-within philosophy, encouraging you to grow your career along with the organization. 

Total Compensation Package:

• Competitive Wages & Paid Time Off

• Stock Purchase Plan & 401k with Employer Contributions Starting Day One

• Medical, Dental, & Vision Insurance with Optional Flexible Spending Account (FSA)

• Team Member Health/Wellbeing Programs

• Tuition Educational Assistance Programs

• Opportunities for Career Growth

O’Reilly Auto Parts is an equal opportunity employer.  Hiring decisions are administered without regard to race, color, creed, religion, sex, pregnancy, sexual orientation, gender identity, age, national origin, ancestry, citizenship status, disability, veteran status, genetic information, or any other basis protected by applicable federal, state or local law.

Reasonable Accommodations: Qualified individuals with known disabilities may be entitled to reasonable accommodation under the Americans with Disabilities Act and certain state or local laws.