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JoanM Navarro

@joanmnavarro

Data Analyst with 5+ Years of Experience Leveraging Data Science and Business Expertise to Drive Insights Across Tech, Finance & Logistics.

France

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What I'm looking for

I seek a role where I can apply forecasting and growth analytics to drive product and revenue decisions, work cross-functionally, and deploy production-ready models while growing into broader ML and analytics engineering responsibilities.

BI & Data Analyst | 5+ Years’ Experience in SaaS, Finance & Logistics Leveraging data science, analytics, and business-domain expertise to drive product, marketing, financial, and operational decisions. Proven experience in:

• Cross-Industry Standard Process for Data Mining (CRISP – DM) full implementation for visibility and improvement of key business operations.

• KPI & metric definition with Product and Marketing teams. Tracking and improvement of user adoption / engagement, A/B experimentation and Campaign / Sales funnel performance.

• Building in-product and self-serve reporting and ML analytics tools. End-to-end design and automation of data pipelines for Operations, Sales, Customer Support, Product & Marketing teams.

• Advanced in SQL and Python for data extraction, transformation, and ad hoc analysis.

• Proficient in Tableau and data visualization for dashboard design and data storytelling for senior management.

• MSc in Data Science with strong foundations in statistical modelling, experimentation, and funnel/attribution analysis.

I work closely with cross-functional teams as an embedded analytics partner, supporting areas such as funnel analytics, forecast & risk modelling, customer segmentation, and automated reporting infrastructure. Areas I typically support include:

Growth Analytics (Acquisition, Funnel Optimisation, Channel Efficiency) Customer Analytics (Churn Modelling, Segmentation, Survival Analysis, CLV) Product Analytics (User Adoption, NPS Measurement, Behavioural Signals) Marketing & CRM Analytics (Campaign Performance, Attribution, Lead Scoring)

KPI Definition & Measurement Frameworks Predictive Modelling (Lead Scoring, Conversion Forecasting, Health Scoring)

Automated Reporting & Self-Serve Dashboards AI Agent Workflows (Automating Recurring Analysis and Data Briefs)

Data Culture Building (Cross-Departmental Enablement, Data Literacy) Technical stack: Python (pandas, numpy, scikit-learn, TensorFlow, PyTorch) SQL R Snowflake, Databricks Tableau, Power BI Salesforce, HubSpot, Marketo Keboola (ETL/ELT) Jupyter, RMarkdown Notebooks

Experience

Work history, roles, and key accomplishments

Current

Data Analyst

Current

Pricefx

Oct 2023 - Present (2 years 9 months)

Designed and deployed lead acquisition forecasting and survival-analysis pipelines that clarified funnel conversion and marketing channel efficiency; built scalable Snowflake/SQL ETL analytics pipelines and automated recurring KPI reporting to support finance, marketing, and product OKRs.

Survival Analysis Python SQL Snowflake ETL Analytics Engineering A B Testing

Financial Management Analyst

Accenture

Feb 2022 - Sep 2023 (1 year 7 months)

Performed financial modeling, forecasting, profitability scenario analysis and cost optimisation for client projects; managed resource utilisation reporting and contract documentation to improve billing strategy and financial controls.

Financial Modeling Forecasting Excel SQL Contract Management Cost Optimization

Pricing Analyst

Crown Worldwide

Sep 2020 - Jan 2022 (1 year 4 months)

Analyzed customer segmentation and developed optimal pricing strategies; automated cost allocation and transport fare calculations for road and sea channels to improve pricing accuracy and operational efficiency.

Pricing Strategy Customer Segmentation Cost Allocation Excel SQL Automation Data Analysis Revenue Management

Finance Intern

Hill International

Sep 2019 - Feb 2020 (5 months)

Supported finance team with project financial tasks including basic forecasting, reporting and documentation to assist project delivery and financial oversight.

Financial Reporting Forecasting Excel Data Analysis Documentation