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.
Requirements
- 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.
Benefits
- 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.