The Data & Processing Analyst optimizes and structures data for NXT platforms, ensuring data integrity and operational efficiency through automation and quality assurance.
BROAD FUNCTION AND SCOPE OF THE POSITION: The Data & Processing Analyst is responsible for analyzing, enhancing, and structuring data to ensure it is optimized for use across NXT technology platforms. This role is integral to maintaining data integrity and supporting efficient technology operations.
PRINCIPAL CONTINUING RESPONSIBILITIES
Machine Automation Processes
EDUCATION AND EXPERIENCE REQUIREMENTS
CANDIDATE QUALIFICATIONS/COMPETENCIES
PRINCIPAL CONTINUING RESPONSIBILITIES
Machine Automation Processes
- Implement and maintain machine automation processes that cleanse, organize, and curate data throughout its lifecycle.
- Manage inbound data, enhance existing information, and prepare outbound data content for further use.
- Perform regular testing to guarantee data accuracy and suitability.
- Uphold high standards in data handling and utilization through robust quality assurance measures.
- Conduct frequent testing to ensure email deliverability is both accurate and efficient.
- Maximize the precision and capacity of email communications.
- Streamline data feeds and refine processes to optimize platform performance.
- Monitor and control technology-based costs.
- Implement and maintain robust data curation structures and procedures.
- Ensure data is organized and accessible for various business needs.
- Partner with the Content Designer and Sales Engineer to test and execute video production initiatives.
- Work alongside Telus to ensure seamless integration with CRM inbound tables and effective downstream output.
- Collaborate with the team to implement and enhance improvements across Affinity Group NXT technology platforms as assigned.
- Ensure technical aspects of data management align with organizational goals.
EDUCATION AND EXPERIENCE REQUIREMENTS
- Bachelor’s degree in computer science, data analytics, information systems, or related field; Master’s degree preferred.
- Minimum of 3 years of experience in data analysis, processing, or related roles.
- Demonstrated success in implementing machine automation and data quality assurance processes.
- Experience with email deliverability optimization and performance/cost monitoring.
- Proficiency in Python, SQL, and relevant data management platforms.
- Strong analytical, problem-solving, and cross-functional collaboration skills.
- Excellent verbal and written communication skills.
CANDIDATE QUALIFICATIONS/COMPETENCIES
- Data Analysis & Structuring
- Machine Automation & Process Optimization
- Data Quality Assurance
- Email Deliverability & Communication Optimization
- Performance & Cost Management
- Data Curation & Accessibility
- Technical Implementation (Python & SQL)
- Stakeholder Collaboration
- Problem Solving & Innovation
- Communication Excellence
Top Skills
Python
SQL
Similar Jobs
Cloud • Software
The role involves providing advanced technical support, mentoring junior engineers, creating documentation, and collaborating with product teams to improve customer experience and troubleshoot complex issues.
Top Skills:
AuthenticationCloud/SaasContainersDnsHypervJavaLinuxPermissionsProxiesPythonRestapiSecuritySsoTcp/IpVirtualboxVirtualization TechnologyVMwareVoipWeb TechnologiesXenXML
Automotive • Big Data • Information Technology • Robotics • Software • Transportation • Manufacturing
The District Manager Parts and Service leads aftersales performance in a defined region, partnering with dealerships to improve customer satisfaction and revenue through data analysis and strategic initiatives.
Top Skills:
Excel
Automotive • Big Data • Information Technology • Robotics • Software • Transportation • Manufacturing
Field Service Engineers provide on-site automotive support, troubleshoot issues, maintain customer relationships, and assist with vehicle diagnostic and repair processes to ensure service readiness and customer satisfaction.
Top Skills:
Data Bus Diagnostic ToolsGm Essential Service ToolsGm Global Connect Service ApplicationsMS OfficePico Scope
What you need to know about the Los Angeles Tech Scene
Los Angeles is a global leader in entertainment, so it’s no surprise that many of the biggest players in streaming, digital media and game development call the city home. But the city boasts plenty of non-entertainment innovation as well, with tech companies spanning verticals like AI, fintech, e-commerce and biotech. With major universities like Caltech, UCLA, USC and the nearby UC Irvine, the city has a steady supply of top-flight tech and engineering talent — not counting the graduates flocking to Los Angeles from across the world to enjoy its beaches, culture and year-round temperate climate.
Key Facts About Los Angeles Tech
- Number of Tech Workers: 375,800; 5.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Snap, Netflix, SpaceX, Disney, Google
- Key Industries: Artificial intelligence, adtech, media, software, game development
- Funding Landscape: $11.6 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Strong Ventures, Fifth Wall, Upfront Ventures, Mucker Capital, Kittyhawk Ventures
- Research Centers and Universities: California Institute of Technology, UCLA, University of Southern California, UC Irvine, Pepperdine, California Institute for Immunology and Immunotherapy, Center for Quantum Science and Engineering
