Senior Client Data & Analytics Lead
Role details
Job location
Tech stack
Job description
You'll work directly with Kraken clients to help them develop modern, transformative data and analytics capabilities as part of their broader Kraken transformation. You'll:
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Guide them as they rebuild critical reporting & analytics on Kraken data
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Coach client teams on "what good looks like" in analytics practices - including roles, tools, and processes.
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Occasionally get hands-on with sample SQL or BI to help unblock or demonstrate.
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Translate client needs into clear input for Kraken product and engineering
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You won't be an implementation manager or a full-time analyst. This is a hybrid role: part coach, part practitioner, part translator - helping clients both adopt Kraken data smoothly and build lasting data capabilities to drive their transformation. Perfect for someone with strong data leadership chops who wants more client face-time and a high-impact role.
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This is one of the first hires onto a new client-facing data team, giving you a chance to play a strategic role in establishing vision, practices, and playbook., * Guide clients in redefining critical reporting and analytics to use new Kraken data and concepts, through working sessions, trainings, and occasional SQL/BI examples.
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Coach client data teams on best practices and help them spot gaps in skills, roles, tools, or process.
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Help clients identify reporting & analytics outcomes they need Kraken to drive and partner with product to deliver these
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Train Kraken's broader client delivery team on how to ask effective data questions and leverage data to drive business impact.
Requirements
- 8+ years of experience in data analytics, business intelligence or related field (e.g., analytics manager or director, data consultant, lead data analyst, analytics engineer)
- Familiarity with SQL and modern BI tools - enough to recognize and speak to what "good" looks like & construct examples
- Excellent communications, collaboration and presentation skills
- Strong grasp of modern data practices (team structure, tools, ways of working)
- Experience working in an agile, product-led context
- Excitement for a fast-paced, high-autonomy, fun environment
- Strong influencing skills and ability to challenge traditional ways of thinking
- For senior roles: Experience leading data teams