Data Analyst Senior

Page * of * Lysiane Benaben 404-***-**** *******.*******@*****.***

Lysiane Benaben

Senior Data Analyst Business Intelligence & Strategy Forecasting & Automation Tableau, Python, SQL

Atlanta, GA 404-***-**** *******.*******@*****.*** LinkedIn: linkedin.com/in/lysiane-benaben PROFESSIONAL SUMMARY

I am a Senior Data Analyst with 10+ years of experience in data science, business intelligence, and financial strategy in the public higher education and research sectors. Holding three Master’s degrees—a Master of Science in Analytics from Georgia Tech and two Master’s degrees in Finance and Business Management—I combine predictive modeling, analytics, and financial expertise to drive data-informed decision-making. I thrive in cross-functional collaboration, translating complex data insights into actionable strategies for executives and stakeholders. With a strong analytical mindset, a knack for problem-solving skills, and the ability to work independently, I specialize in data visualization tools and statistical modeling to develop interactive dashboards and automate reporting processes to drive operational efficiency and executive strategy.

Data Analytics Business Intelligence Predictive Modeling SQL Python Tableau R VBA Business Object Financial Forecasting KPI Tracking Machine Learning Data Visualization ETL Statistical Analysis Data-Driven Strategy PROFESSIONAL EXPERIENCE

SENIOR DATA ANALYST, IMT Mines Albi, France & Atlanta, USA December 2014 – Present IMT Mines Albi is a leading engineering school, where I gather, clean, visualize, and analyze complex, multi-source datasets to ensure data reliability and support organizational management. I define key performance indicators (KPIs) and develop interactive dashboards that streamline reporting processes and deliver actionable business insights to leadership teams.

• Lead the design and development of data analytics and visualization dashboards for Finance, HR, Student Enrollment, and Research teams, including ad-hoc reporting and performance analysis, and providing training on data visualization tools.

• Handle sensitive data, including HR and financial datasets, ensuring data security and compliance with privacy standards when building dashboards and reports.

• Implement machine learning and predictive modeling techniques to improve financial planning and research funding projections.

• Perform data extraction, cleaning, and pipeline optimization using BO, SQL and Python, creating reliable datasets for dashboard development and cross-functional collaboration, resulting in a 30% reduction in report turnaround time within a year.

• Effectively manage cross-functional projects in remote environments, collaborating with international teams for over 3 years to deliver data-driven solutions.

Key Achievements:

• Developed 5+ Tableau dashboards, improving data accessibility for decision-making at the leadership level.

• Built predictive models to support enrollment strategy and optimize student recruitment targets contributing to a 15% increase in student enrollment, along with a 3% improvement in the average academic performance of newly enrolled students over five years.

• Designed a machine learning-based decision-support tool using NLP, integrating qualitative data analysis with quantitative error detection models and applying advanced classification techniques to improve budget allocation accuracy and data quality.

• Improved data governance and data accuracy processes, enhancing institutional efficiency and compliance. Page 1 of 2 Lysiane Benaben 404-***-**** *******.*******@*****.*** MANAGER, STRATEGIC FINANCE & CONTROL, Omnium Finance Group, France December 2011 – November 2014 Omnium Finance Group is a real estate firm, where I led financial analysis, budgeting, and cost optimization efforts.

• Managed the budgeting and financial forecasting processes, including risk assessment and variance analysis.

• Led a team in developing financial reporting tools using Access, Excel, and VBA, alongside financial models that enhanced revenue tracking and strengthened risk mitigation strategies. Key Achievements:

• Implemented an automated financial reporting system, reducing report turnaround time by 10 days.

• Improved financial forecasting accuracy, optimizing capital allocation and investment decisions. MANAGEMENT CONTROLLER, Pierre Fabre Dermo-Cosmetics, France January 2010 – November 2011 Pierre Fabre Dermo-Cosmetics is a leading pharmaceutical company specializing in dermatology and skincare solutions.

• Analyzed product profitability and cost estimation using SAP to support strategic pricing decisions.

• Developed financial automation tools in Excel and VBA, streamlining reporting processes and improving decision-making efficiency.

FINANCIAL ANALYST, Dexia Credit Local, France July 2000 – January 2010 Dexia Credit Local is a business bank specializing in public sector financing and debt restructuring.

• Led financial modeling and dashboard reporting to optimize public financing efficiency.

• Supported risk analysis initiatives that improved investment decision-making and financial stability. EDUCATION

• Master of Science, Analytics, Georgia Institute of Technology, Atlanta, GA, USA 2021 GPA: 3.91

Key Coursework: Analytics Modeling, Machine Learning (including Natural Language Processing), Simulation, Regression Analysis, Logistic Regression, Bayesian Statistics, Data Visualization, Database Systems

• Master of Science, Finance Audit and Controlling, Toulouse Business School (TBS), Toulouse, France 2011

• Master, Business Management, Montpellier Business School (MBS), Montpellier, France 2000 TECHNOLOGY SKILLS

• Programming Languages: Python, R, SQL, Java, VBA

• Data Visualization Tools: Tableau, Excel, Business Object (BO)

• Database Management: MySQL

• Other tools: Microsoft Office Suite, Google Analytics SOFT SKILLS

• Analytical Thinking & Problem-Solving: Ability to identify trends and deliver data-driven solutions.

• Collaboration & Cross-Functional Communication: Working effectively with finance, IT, HR, and leadership teams.

• Presentation & Storytelling with Data: Translating insights into impactful reports for decision-makers.

• Self-Motivation & Independence: Ability to drive initiatives with minimal supervision.

• Strategic Decision-Making: Bridging business needs with data insights to improve operational efficiency.

• Remote Work Efficiency: Proven ability to manage projects and collaborate effectively in remote environments.

• Active Learner & Tech Enthusiast: Demonstrated passion for continuous learning, with a strong eagerness to explore new technologies and data-driven tools.

CERTIFICATIONS

● Google Data Analytics Professional Certificate - Google. LANGUAGES

● French, Native ● English, Fluent ● German, Limited working

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