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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
What you need to know about the Seattle Tech Scene
Home to tech titans like Microsoft and Amazon, Seattle punches far above its weight in innovation. But its surrounding mountains, sprinkled with world-famous hiking trails and climbing routes, make the city a destination for outdoorsy types as well. Established as a logging town before shifting to shipbuilding and logistics, the Emerald City is now known for its contributions to aerospace, software, biotech and cloud computing. And its status as a thriving tech ecosystem is attracting out-of-town companies looking to establish new tech and engineering hubs.
Key Facts About Seattle Tech
- Number of Tech Workers: 287,000; 13% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Amazon, Microsoft, Meta, Google
- Key Industries: Artificial intelligence, cloud computing, software, biotechnology, game development
- Funding Landscape: $3.1 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Madrona, Fuse, Tola, Maveron
- Research Centers and Universities: University of Washington, Seattle University, Seattle Pacific University, Allen Institute for Brain Science, Bill & Melinda Gates Foundation, Seattle Children’s Research Institute
