KPI Architect

Stack

Responsibilities

• ▹Measurement framework definition: work with Value Builders and Project Managers in discovery phases to define how each project's success will be measured
• ▹Translate vague business objectives into concrete, measurable, actionable KPIs; establish baselines, targets and evaluation criteria
• ▹Create reusable templates and methodologies that accelerate this phase on future projects
• ▹Client alignment on objectives: facilitate structured conversations to make success criteria explicit, quantify them and turn them into shared agreements
• ▹Complex analytical challenge support: multi-touch attribution analysis, predictive modeling, advanced segmentation, interpretation of particularly complex datasets
• ▹Solution impact verification after deployment: build analyses personally, distinguish correlation from causality, identify confounding variables, enable correct attribution of results; propose course corrections when numbers do not add up
• ▹Purpose-driven analysis: every analysis has a clear purpose and consequent action, avoiding analysis paralysis
• ▹Build and maintain Exelab's analytical standards: document methodologies, create templates and best practices, train Value Builders
• ▹Portfolio view: identify patterns across projects, recurring problems, reusable solutions and reference benchmarks

Requirements

• ▹Mastery of data analysis tools and methodologies: SQL, Python/R for statistical analysis, BI tools (Looker, Tableau, Power BI)
• ▹Comfort with statistical analysis: significance testing, regression analysis, cohort analysis, A/B testing methodology
• ▹Ability to work with large datasets and heterogeneous sources
• ▹Experience building dashboards and monitoring systems
• ▹Deep understanding of how businesses work and which metrics truly matter
• ▹Experience with KPIs typical of customer-facing contexts (conversion rate, customer acquisition cost, lifetime value, churn, NPS)
• ▹Ability to link operational metrics to financial impact
• ▹Scientific approach: formulate hypotheses, test them, evaluate evidence with constructive skepticism
• ▹Exceptional ability to communicate complex insights clearly and actionably, adapted to the audience, plus stakeholder management skills
• ▹Background in environments with multiple projects/clients in parallel (consulting, agencies or strongly data-oriented companies)
• ▹Autonomy and proactivity: ability to work with minimal supervision and manage own time across projects by impact
• ▹Willingness to learn and use AI tools to enhance analytical work
• ▹Native Italian and at least B2-level English

Nice to have

• ▹Familiarity with CRM and marketing technology (a significant plus)

Soft skills

About the company

Exelab does not sell a single off-the-shelf product but builds custom, innovative solutions (software, AI models, systems integration) that target each client's unique business objectives. Each engagement is treated as a mini product development cycle, with performance and measurability of results at the center.