Ali Hussein

Act as a strategic advisor and right-hand support to the rector on data matters, providing quantitative analyses and recommendations to support institutional and strategic decision-making. Design, develop, and maintain decision-making dashboards with Power BI to track the University's key performance indicators and support managers in analyzing their activities. Collect, transform, integrate, and prepare data as part of ETL processes, ensuring its quality, consistency, and availability for analysis.

Research Data Analyst - Université du Québec en Outaouais (UQO)

(2025)

• Act as a strategic advisor and right-hand support to the rector on data matters, providing quantitative analyses and recommendations to support institutional and strategic decision-making.
• Design, develop, and maintain decision-making dashboards with Power BI to track the University's key performance indicators and support managers in analyzing their activities.
• Collect, transform, integrate, and prepare data as part of ETL processes, ensuring its quality, consistency, and availability for analysis.
• Use Python and SQL to extract, transform, analyze, and model data from various institutional sources.
• Develop statistical and Machine Learning models for forecasting and decision support, particularly for analyzing admission and enrollment trends.
• Design analytical tools to track and forecast admissions, enrollments, and various university performance indicators in order to anticipate needs and guide strategic decisions.
• Produce analyses on student origins and recruitment catchment areas to better understand student markets and guide recruitment and program development strategies.
• Develop dashboards and analyses related to space management and space utilization to support institutional resource planning and optimization.
• Track and analyze various institutional indicators, particularly those related to student numbers, admissions, enrollments, outstanding receivables, and the performance of university activities.
• Contribute to strategic discussions surrounding the launch and development of new programs by providing data analyses on demand, recruitment catchment areas, trends, and outlooks. For example, the analyses helped inform discussions surrounding the launch of the bachelor's degree in cybersecurity at UQO.
• Advise decision-makers on technology, IT, and data-related issues, including opportunities for automation, systems integration, and the use of institutional data.
• Turn complex data into analyses, visualizations, and strategic recommendations that are accessible to decision-makers by explaining the results clearly and facilitating their use in decision-making processes.
• Collaborate with various university stakeholders to identify their information needs, define relevant indicators, and develop analytical solutions tailored to those needs.

Senior Data Analyst (Finance) - Spectra Premium

(2021 - 2025)

• Design and develop financial and operational dashboards with Power BI, enabling managers and leadership teams to track organizational performance, trends, and key indicators.
• Develop end-to-end Business Intelligence solutions, from data extraction and preparation through modeling, analysis, and visualization.
• Use SQL to query, extract, transform, and structure data from various sources and databases.
• Implement and optimize ETL (Extract, Transform, Load) processes to automate the integration, transformation, and availability of data required for analysis.
• Use Python to automate analytical tasks, manipulate data, conduct exploratory analyses, and develop solutions that improve the efficiency of decision-making processes.
• Track financial and performance indicators and produce analyses to identify variances, trends, and issues requiring intervention.
• Collaborate with finance teams and managers to translate their business needs into indicators, data models, and visualization tools suited to their decision-making needs.
• Ensure the quality, consistency, and reliability of the data used in reports and dashboards.
• Serve as a Power BI resource for the organization's managers and executives, supporting them in using and interpreting data tools.
• Lead weekly Power BI training workshops for executives and managers, covering topics such as navigating dashboards, analyzing data, creating visualizations, and using the tool's features.
• Explain technical concepts related to data, Business Intelligence, and visualization, adapting explanations to the knowledge level of different users.
• Support users in developing their analytical independence by helping them use data to address their business challenges.
• Contribute to the continuous improvement of the organization's analytical environment by proposing solutions for automation, standardization, and the use of data.

Senior Data Analyst - Tata Telecom

(2018 - 2021)

• Conduct advanced statistical analyses to identify trends, explanatory factors, and relationships among various business, operational, and financial variables.
• Develop statistical forecasting models to anticipate changes in key indicators, support planning, and improve decision-making, particularly regarding revenue, costs, expenses, and financial performance.
• Design, train, and evaluate regression models to explain and predict various phenomena based on historical data, particularly those that may affect costs, revenue, or profitability.
• Apply analysis of variance (ANOVA) methods to compare groups, measure the effects of explanatory factors, and determine the statistical significance of observed differences, particularly in performance and cost analyses.
• Use Machine Learning methods to develop predictive models, select relevant variables, and improve forecast quality in order to reduce uncertainty and support the optimization of financial and operational resources.
• Prepare and clean data, conduct exploratory analysis, select variables, and evaluate model performance to ensure the reliability of analyses used for decision-making and financial purposes.
• Interpret statistical results and turn quantitative analyses into practical recommendations for management teams, particularly regarding cost optimization, resource allocation, and performance improvement.
• Develop interactive dashboards with Power BI to present indicators, trends, analytical results, and forecasts clearly and accessibly, including, where relevant, financial KPIs such as revenue, costs, margins, budget variances, and performance indicators.
• Design visualizations to track performance, quickly identify operational and financial variances, and facilitate users' exploration of data.
• Use SQL to extract, structure, and prepare data required for statistical analyses, predictive models, and financial indicator tracking.
• Implement data preparation and transformation processes (ETL) to ensure the quality, availability, and consistency of analytical and financial data.
• Use Python for data manipulation, statistical analysis, process automation, and predictive model development, including automating certain performance and financial tracking analyses.
• Participate in implementing Data Analytics and Business Intelligence solutions by integrating statistical analyses, predictive modeling, and data visualization to support improvements in operational and financial performance.
• Analyze variances between forecast and actual results to identify the main explanatory factors and support budget variance and financial performance analyses, where data is available.
• Communicate and explain complex statistical analysis results to non-specialist stakeholders, emphasizing their interpretation

DESS - Mathematical and Computational Finance, Data Science Option - UDEM (2017 - 2019)

DESS - Financial Derivatives (Financial Engineering) - UQAM (2015 - 2016)

Master of Business Administration - Finance Option - Université de Clermont Ferrand, France (2009 - 2011)

Bachelor's Degree - Economics - Faculté polydisciplinaire, Maroc (2005 - 2009)