Podean is the leading global marketplace marketing agency. We work with progressive brands across the globe to unlock potential on Amazon and other marketplaces. Our services span eCommerce strategy, content creation and optimization, media management, retail operations, data and analytics, consulting, and social commerce. Recent award wins include Digiday's Best Employer for Remote Employees and Amazon's Global Expansion Partner Award.
We are looking for a Data Analyst to join us to maintain and develop reports in Tableau, with a focus on extrapolating insights related to product performance. The ideal candidate will possess exceptional communication skills and be capable of engaging directly with clients to present findings and recommendations.
What You'll Do:
- Maintain and enhance Tableau dashboards to monitor and analyze product performance.
- Perform in-depth analyses to uncover trends, patterns, and insights that drive business outcomes.
- Translate complex data into actionable insights and strategic recommendations.
- Present findings to clients, understand their data needs, and offer expert guidance on data-driven decisions.
- Conduct regular data validation and quality checks to ensure accuracy and integrity.
- Partner with internal teams (e.g., marketing, sales, product) to align analysis with business goals.
- Maintain clear documentation of reporting processes, methodologies, and findings.
- Stay current on industry trends, tools, and best practices in analytics and data visualization.
What We're Looking For
- 1–3 years of experience in data analysis, with a focus on eCommerce or online advertising preferred.
- Proficient in Tableau and other BI tools (e.g., Power BI, Looker); able to build, maintain, and improve reports and dashboards.
- Fluency in SQL required; Python or R a plus.
- Strong Microsoft Excel skills, including VLOOKUPs, pivot tables, and macros.
- Familiarity with Amazon Seller/Vendor Central and relevant advertising analytics platforms (e.g., AMS, DSP, Google Ads, Sizmek, AMC).
- Experience with statistical modeling and forecasting techniques such as A/B testing, regression, time series analysis, etc.
- Ability to clearly explain complex technical solutions to both technical and non-technical stakeholders.
- Experience working with databases like Snowflake, Redshift, or similar, and familiarity with cloud platforms is a plus.
- Highly organized, detail-oriented, and comfortable managing multiple priorities in a fast-paced environment.
