We are looking for a Business Systems Administrator to support and maintain our core internal tools and systems.
Overview
Team Lead, Data Analyst responsibility is to elevate how Customer Success measures impact, predicts risk, and drives action across our post sales lifecycle. The team lead manages a team of analysts, partners closely with Customer Success, Sales, Product, and Finance, and builds the analytics foundation that powers health scoring, playbooks, and executive insights.
This role blends people leadership with technical depth: coach analysts, shape KPI framework, and architect robust data pipelines and dashboards that deliver “signal, not noise” to stakeholders.
Role
• Hire, onboard, grow and manage the team: Lead the growth of team members, from leading the interview process to guide the onboarding and manage the team in order to put the employees in a position to perform the best. Support career growth path.• Lead & coach a team of data analysts: set objectives (high level team and individuals), review work quality, unblock delivery, define priorities and foster growth through regular feedback and development plans. • This requires the Team Lead to stay up to date with internal processes and policies and to support the team members in navigating the environment by providing guidance on people-related matters. • Define the Analytics vision and long-term goals and inspire the team & communicate inside and outside the team. Refine the team working structure and processes in order to hit those goals.
• Capacity Planning: As part of the prioritization effort, Team Lead manages the workload distribution and identifies future needed skills and headcount needs. Team Lead is expected to build a case for additional headcounts & functions within the team. • Define KPI framework for the success of the Data Analyst team: define and establish tracking to define success of the work of the Data Analyst team. • Define KPI framework for success of the teams we support: define, standardize, and continuously improve metrics (e.g., adoption, engagement, time to value). • Build high quality datasets & pipelines: design ELT/ETL workflows across CRM (Salesforce), product usage tracking, support, and financial systems; ensure data quality, lineage, and governance. This requires also documentation creation and maintenance in order to create a long term structure for the team future. • Deliver executive ready insights: produce dashboards and narratives that inform quarterly business reviews, capacity plans, and business decisions. • Identify, build and maintain data integrations & predictive analytics: operationalize propensity and churn risk models; partner with Success leadership to embed insights into playbooks and customer programs. • Stakeholder management: translate business questions into analytic roadmaps; prioritize ruthlessly; communicate tradeoffs, assumptions, and risks.

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