Why This Role Stands Out
This hybrid Digital Marketing Specialist role at Sunrise Systems offers a fantastic opportunity to hone your analytical and experimentation skills while contributing to significant website optimization and migration projects. You'll thrive here if you're a data-driven marketer with a passion for A/B testing and a knack for collaborating across teams to drive impactful results. Apply today to join a dynamic environment and elevate your career!
Quick Overview
Seniority
Mid Senior
Work mode
Hybrid
Location
United States
Posted
9 hours ago
A/B TestingAdobe AnalyticsGoogle Analytics
Job Description
Title- Marketing Specialist
Location- Hartford, CT
Duration- 6 Months
Key Responsibilities:
- Design and execute A/B tests, multivariate tests, and other web experiments to optimize user experience and conversion rates.
- Analyze test results using statistical methods to derive actionable insights and recommendations.
- Collaborate with product managers, designers, developers, and other stakeholders to develop and implement testing strategies.
- Monitor and report on key performance indicators (KPIs) to track the impact of web experiments.
- This roll will also assist with the user acceptance testing/QA for web pages being re-built in a new content management system as part of our website migration project
- Bachelor's degree in Marketing, Business, Statistics, Computer Science, or a related field.
- 3+ years of experience in web experimentation, A/B testing, or a related role.
- Proficiency in web analytics tools (e.g., Google Analytics, Adobe Analytics) and experimentation platforms (e.g., Optimizely, VWO, Google Optimize).
- Strong analytical skills with the ability to interpret complex data and generate actionable insights.
- Excellent communication and presentation skills.
- Ability to work independently and as part of a team in a fast-paced environment.
- Strong project management skills with the ability to prioritize and manage multiple tasks.
- Up-to-date with industry trends and best practices in web experimentation and optimization.
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