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  • 5 days ago

jobs description

Product Data Analyst

In All Media

In All Media is a trailblazing Nearshore Managed Service Provider, laser-focused on Team Augmentation for software development. We craft bespoke, highly specialized teams that effortlessly merge with our client's processes and culture, delivering unparalleled results.

The Challenge

As a Product Data Scientist, you will play a pivotal role in driving data-driven decision-making processes, optimizing product performance, and identifying growth opportunities within the advertising domain. Leveraging your expertise in data analysis, statistical modeling, and business acumen, you will collaborate closely with cross-functional teams to define product success metrics, conduct product experimentation through A/B testing, perform opportunity analysis, and develop predictive models to forecast future trends and understand customer behaviors.

• Define Metrics for Product Success: Collaborate with stakeholders to establish clear, measurable... goals related to user engagement, revenue, customer satisfaction, and other key performance indicators (KPIs) relevant to the product.
• Conduct Product Experimentation - AB Testing: Design, implement, and analyze A/B tests to empirically test hypotheses about product changes and their impact on user behavior.
• Perform Opportunity Analysis: Utilize data to identify areas for product improvement or innovation, translating insights into actionable product features or changes in close collaboration with product managers.
• Statistical Modeling: Develop predictive models to forecast future trends, understand customer behavior, and optimize product features and user experience.

Skills and Qualifications:
• Dashboard Creation to Executive Presentation: Ability to visualize data, create informative dashboards, and present findings to stakeholders, including executive teams, to bridge the gap between data analysis and business strategy.
• Domain Knowledge in the Ad Space: Specific expertise in the advertising industry, including knowledge of ad metrics, user acquisition costs, click-through rates, conversion rates, and other industry-specific KPIs.
• Tools Proficiency: Experience with tools such as R, Python, Optimizely, Google Optimize, Google Analytics, Tableau, PowerBI, Looker, and SQL for data analysis, statistical modeling, and data visualization.
• Bachelor's or Master's degree in a relevant field such as Computer Science, Statistics, Mathematics, Economics, or related disciplines.
• Proven experience in data analysis, statistical modeling, and product experimentation within the advertising domain.
• Strong communication skills with the ability to translate complex data insights into actionable recommendations for cross-functional teams.
• Business acumen and understanding of market dynamics to identify growth opportunities effectively.

• 100% remote work.
• Payments made from the US.
• International teams.
• Exciting projects; all our clients are top-notch US-based companies.
• Hourly rates in US dollars.
• Full-time and long-term projects.
• Contract as a vendor


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