- Company Name
- GALILEO GLOBAL EDUCATION
- Job Title
- Data Analyst Senior F/H/X
- Job Description
-
**Job Title:** Senior Data Analyst (F/H/X)
**Role Summary:**
Leverage large‑scale data from CRM, marketing automation, admissions, call‑center and web sources to drive commercial performance across 60+ schools. Build AI‑augmented dashboards, generate actionable insights, and provide weekly recommendation packs to senior leadership, while continuously improving data quality.
**Expectations:**
- Deliver clear, impact‑focused recommendations to the Managing Director, BU heads and sales managers on a weekly basis.
- Maintain and enhance augmented dashboards with explanations and proposed actions.
- Detect trends, anomalies and correlations, and simulate scenarios using AI/ML techniques.
- Lead data‑quality initiatives, track gaps and drive continuous improvement.
- Communicate insights effectively to non‑technical stakeholders and support managerial “warm‑up” sessions.
**Key Responsibilities:**
- Consolidate and cross‑analyze data from CRM (Salesforce/HubSpot), marketing automation, admissions, call‑center, web traffic and campaign tools.
- Track performance metrics per BU: sales, lead acquisition, conversion (lead → appointment → enrollment → financing).
- Identify and report on trends, deviations and opportunities; develop predictive models and clustering analyses.
- Create and maintain Power BI or Looker dashboards with AI‑generated insights and action recommendations.
- Produce weekly recommendation packs outlining expected impact, priority, effort, risks and 7‑day action plans.
- Present findings in “warm‑up” meetings, highlighting high‑performing and under‑performing areas.
- Lead data‑quality monitoring, resolve inconsistencies, and implement a continuous improvement plan.
**Required Skills:**
- Advanced SQL; strong programming in Python or R (preferred).
- Experience with Power BI, Looker or similar visualization tools.
- Proficiency in CRM platforms (Salesforce, HubSpot).
- Expertise in large‑volume data analysis, statistical modeling, clustering, anomaly detection, multivariate analysis.
- Knowledge of marketing/sales funnels, forecasting and executive reporting.
- Hands‑on experience with machine learning/AI, including generative AI applied to commercial performance.
- Strong analytical rigor, prioritization, and result‑orientation.
- Excellent communication skills; ability to convey complex insights to non‑technical audiences.
- Influential leadership in a matrixed environment; cross‑functional collaboration.
**Required Education & Certifications:**
- Engineering degree (e.g., from Centrale, École Polytechnique, Mines ParisTech) or equivalent quantitative discipline.
- 4–8 years of experience in commercial/industrial data analytics within data‑intensive sectors (automotive, telecom, fintech, edtech, etc.).
- Relevant certifications (e.g., Microsoft Power BI, Tableau, Salesforce, or data‑science/ML certificates) are a plus.