Data Analytics Engineer
UWorld, LLC, United States

Job Duties:

• Develop and test end-to-end data analytics, data warehouse, machine learning, and reporting applications to power our education software.
• Understand data services and analytics needs across the organization and work on machine learning and data analytics infrastructure.
• Build data processing pipelines to process historical performance information to come up with predictive and analytical machine learning models to develop new features and insightful reports.
• Develop and maintain detailed reports and dashboards based on the data processed through the machine learning models, the data warehouse, and the databases for the stakeholders.
• Design and develop data and machine learning models, schema, connectors, transformations, data flow pipelines, and data warehouse storage.
• Articulate design and algorithms using schema charts, flow charts, and design documentation.
• Develop and build a data warehouse which extracts and aggregates data from multiple content sources including social media, CRM, web services, flat-file stores, and databases.
• Build data marts and integrations with appropriate destination data sources to provide the data to consumers of the machine learning results.
• Use Python, machine learning libraries, Databricks, PL/SQL, Apache Nifi, and other programming languages as appropriate, for data loading, transformations, and machine learning models.
• Build reports using legacy SQL stored procedures or Tableau as required.
• Develop, modify, and test algorithms that can be used in scripts to store, locate, cleanse, verify, validate, and retrieve specific documents, data, and information.
• Validate and process all data communication between clients (applications) and server to ensure data integrity and retrieval using RDBMS and/or JSON objects.
• Ensure the data provided is highly accurate after performing appropriate quality checks.
• Develop REST and/or SOAP services to provide interactive experience for end users with real-time data related to test preparation and e-commerce activities.
• Work with QA engineers to ensure quality and reliability by process of continuous improvement.
• Collaborate with other engineers and subject-matter experts in maintaining existing reports, applications, tools, and data warehouse solutions and to build new application prototypes.
• Create sample report templates/prototypes for new/future products.
• Collaborate with product leads, product owners, QA team, and customer care team to drive new enhancements or fix bugs in a timely manner.
• Involved in discussions related to new business insights, predictions, statistical analysis, reports, and extracts development for future products or related web portals.
• Be up to date on the industry standard practices on big data and analytics and adopt solutions to the data warehousing platform.
• Use of Python, R, Java, Data Lake, SQL, NoSQL (MongoDB), Tableau, and PowerBI.

Requirements

• This position requires a Master’s degree or foreign academic equivalent in Computer Science, Information Technology, Information Systems, Data Analytics, Data Science, or a related field. Plus 1 year of experience in the job offered or 1 year in a related occupation including Data Analyst or related experience.
• Position requires 1 year of experience with either R or Python and either Tableau or PowerBI. 40hrs/week.

Application Instructions: To apply, please MAIL resume to the following address, ensuring to indicate the position reference code (Ref# DAE1127TT) for which you are applying. Mail to: UWorld, LLC, Attn: Raven Bellard - HR Business Partner, 9111 Cypress Waters Blvd., Suite 300, Dallas, TX 75019.

Benefits

• Competitive compensation (contingent on experience)
• Paid time off (based on sliding scale according to hire date and work hours)
• A generous paid holiday schedule that includes the entire week of Christmas off
• Onsite work environment, 4 days with 1 day remotely each week
• Comprehensive benefits package (medical, vision, dental, life, disability)
• 401(k) plan for retirement with 5% employer matching (eligibility after 90 days of employment)
• On-site group fitness classes amp; a relaxed work environment

At UWorld, we believe strength is derived from the talents, ideas, and experiences of a diverse workforce. We are committed to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, or any other protected class. UWorld is proud to be an equal opportunity employer providing a drug-free workplace. If you have a disability or special need that requires accommodation, pleas

Job Rewards and Benefits