Client Data Analyst

We are Rokt, a hyper-growth ecommerce leader. Rokt is the global leader in ecommerce, unlocking real-time relevance in the moment that matters most. Rokt’s AI Brain and ecommerce Network powers billions of transactions connecting hundreds of millions of customers, and is trusted to do this by the world’s leading companies.

We are a team of builders helping smart businesses find innovative ways to meet customer needs and generate incremental revenue. Leading companies drive 10-50% of additional revenue—and often all their profits—from the extra products or services they sell. This economic edge unleashes a world of possibilities for growth and innovation.

At Rokt, we practice transparency in career paths and compensation. We believe in transparency, which is why we have a well-defined career ladder with transparent compensation and clear career paths based on competency and ability. Rokt’stars constantly strive to raise the bar, pushing the envelope of what is possible.

We are looking for a Client Data Analyst

Target total compensation ranges from $135,000-$170,000, including a fixed annual salary of $125,000-$153,000, an employee equity plan grant, and world-class benefits.

Equity grants are issued in good faith, subject to company policies, board approval, and individual eligibility.

About the Role:

In this role, you’ll be the Data Analyst who turbo charges decision-making with data and automation. You’ll interact with clients and use your analytics, AI, and automation skills to solve complex challenges across a portfolio of accounts. You’ll work cross-functionally to identify inefficiencies, develop data-driven insights, and build tools that enable smarter, faster decisions for clients—especially in areas like performance advertising, ecommerce, marketing, and analytics operations.

If youre passionate about data, love experimenting with AI and automation, and want to make a high-impact behind-the-scenes contribution, this role puts you at the forefront of Rokt’s analytics and AI transformation.

Responsibilities:

Analytics & Strategy

• Conduct proactive, high-quality analysis to provide business recommendations for clients
• Present data-driven insights clearly to both technical and non-technical stakeholders, including clients and internal teams
• Analyze advertiser performance and transactional data using SQL, Tableau, and other analytics platforms to uncover trends, diagnose issues, and deliver actionable recommendations.
• Develop a deep understanding of customer behavior and business funnels to identify optimization opportunities.
• Apply statistical methods, concepts and tools to interpret data, analyze results and convert it into useful knowledge

AI & Automation Enablement

• Identify repetitive or manual analytics workflows and build AI-powered or automated tools to streamline these processes
• Develop and maintain internal decision-support tools, dashboards and reports that empower teams to self-serve analytics and insights
• Leverage emerging AI technologies to enhance analytics practices, improve scalability, and eliminate bottlenecks

Cross-Functional Collaboration

• Collaborate with analytics, product managers, engineers, and business stakeholders to support projects that drive impact across teams
• Pair and collaborate with Engineering and Product teams to work on ad-hoc work, discovery projects, POCs, mockups, and prototypes
• Contribute to the development and refinement of internal tools, dashboards, or reports by providing data inputs, testing outputs, and documenting findings

About You:

• At least 2 years of client-facing experience in the field of applying data, analytics, and research
• Ability to break down complex problems, conduct relevant analysis, and evaluate and recommend solutions
• Excellent communicator and storyteller who is comfortable translating concepts and ideas to stakeholders at all levels and contextual angles
• Strong experience with SQL, visualization tools such as Tableau and Looker, and working with big data in some form
• Experience diving into data, identifying key drivers, and translating insights into high-impact action
• Experience using languages like R or Python to execute and share the results of analyses a plus