Product Analyst

Dashboard Development And Analytics Specialist

We are seeking a talented individual to join our team as a Dashboard Development and Analytics Specialist. In this role, you will be responsible for creating impactful reports, automating business processes, and providing valuable insights to support key initiatives. Your expertise in SQL, data visualization, and statistical analysis will be instrumental in delivering data-driven solutions.

Responsibilities:

• Develop and design interactive dashboards for company-wide use, catering to various business needs.
• Automate weekly and monthly business reviews to streamline reporting processes.
• Redesign and automate reports for business partners to improve efficiency and accuracy.
• Respond promptly to executive-level reporting requests, ensuring timely delivery of information.

Key Responsibilities:

• Utilize SQL and visualization skills to create reports that effectively showcase analysis outputs.
• Collaborate with business partners to gather relevant information from multiple sources and support key initiatives.
• Employ data visualization tools such as Tableau, Power BI, Looker, etc., to present insights in a visually compelling manner.
• Conduct exploratory analysis, including hypothesis testing and basic statistical testing.
• Automate tasks and develop processes that monitor, analyze, and inform the actions of key stakeholders.
• Lead the development of reporting strategies, testing, analyzing, and forecasting business performance for the Marketplace (3rd Party Sellers) segment.
• Provide tactical ad hoc insights and a strategic ongoing roadmap of deep analytics.
• Deliver data-driven business insights, collaborating with cross-functional partners to identify opportunities that drive business and product strategy.
• Work with the Product Management team to identify gaps in current products, gather requirements, and design state-of-the-art data products to assist business users.
• Collaborate with the Product, Data Science, and other Analytics teams on roadmaps to understand growth and risk factors of new and future product releases.
• Define user/business metrics to measure success and evaluate performance.
• Understand the company's strategy, operating model, and translate them into appropriate analytical approaches, data requirements, and data models.
• Design and conduct A/B and multivariate tests, including developing test plans and defining success metrics.
• Operate with agility while leveraging corporate structure to achieve goals.
• Engage with cross-functional teams, leadership, and key stakeholders to gain support from the broader organization.
• Automate data and analytic solutions at scale.

Qualifications:

• Extensive experience in managing performance campaigns across multiple paid search platforms.
• Strong knowledge of keyword bidding strategies, budget cap management, and optimization tactics.
• Experience with API and Self-Serve platforms is a plus.
• Ability to think strategically and proactively identify and resolve problems in a client-centric environment.
• Excellent written and verbal communication skills, with the ability to effectively communicate and present to sales teams and leadership.
• Strong client relationship management skills, understanding how performance aligns with broader business goals.
• Previous managerial experience, including hiring, developing, and mentoring a team.
• Comfortable working in a fast-paced environment and navigating through ambiguity.
• Experience working with financial data and budgets.
• Ability to collaborate effectively with cross-functional teams to achieve common goals.
• Experience collaborating with senior-level stakeholders both internally and externally.
• Strong attention to detail and accuracy in collecting, organizing, analyzing, and disseminating significant amounts of information.
• Proficient in Python, R, SQL, and Hive queries.
• Experience transforming and automating data within cloud architectures (e.g., Google Cloud Platform).
• Hands-on experience with data visualization and reporting tools such as Tableau, R Shiny, or Looker.