The Marketing Analytics & Insights team equips aspiring professionals to decode customer behavior and drive campaign success using data-driven strategies powered by Excel and statistical models. In this role, we seek self-starters with an analytical mindset, a curiosity for marketing data, and a passion for turning trends into tactics. You'll work on real marketing problemsoptimizing ad spends, segmenting audiences, and predicting campaign performancewhile building a robust portfolio showcasing your marketing analytics acumen. WHAT YOU'LL DO Work on real-world marketing case studies using Excel and analytical techniques such as: Customer Segmentation using Cluster & Factor Analysis Campaign Performance Prediction via Logistic & Multiple Linear Regression Sales Forecasting with Time Series Models Consumer Preference Modelling through Conjoint Analysis Perform ROI analysis for marketing campaigns using sensitivity analysis and Monte Carlo simulation. Build interactive dashboards to visualize campaign metrics, sales funnels, and marketing KPIs. Apply predictive models to optimize customer acquisition, retention, and lifetime value. Summarize marketing data insights into clean, actionable reports and dashboard narratives. Translate complex marketing data into compelling insights that support branding and performance strategies. Continuously refine outputs through regular feedback and evaluation cycles. WHAT WE'RE LOOKING FOR Background in Marketing, Business, Economics, Statistics, or related fields (pursuing or recent). Strong interest in digital marketing, data analytics, and performance measurement. Basic proficiency in Excel and foundational knowledge of marketing metrics and statistics. Eagerness to explore topics like marketing attribution, forecasting, and campaign optimization. Ability to clearly communicate data-driven stories that influence marketing decisions. Self-discipline to manage multiple marketing analytics projects in a remote-first, flexible setting.

The Data Analytics & Forecasting team empowers learners to solve real-world business problems by equipping them with industry-relevant data skills using Microsoft Excel and statistical modeling techniques. In this role, were looking for self-driven and analytical minds who are curious about business data, eager to build actionable insights, and committed to continuous learning. Youll solve practical business problems using tools like regression analysis, forecasting models, and interactive dashboards while building a portfolio that demonstrates your capability as a future-ready data analyst. What You'll Do Work on real-world case studies using Excel and data analytics techniques such as: Multiple Linear & Logistic Regression Cluster & Factor Analysis Time Series Forecasting Conjoint Analysis Perform profitability analysis using scenario analysis, sensitivity testing, and Monte Carlo simulation. Create interactive dashboards using financial, sales, and datasets to visualize insights and KPIs. Apply forecasting models to data and assess future business implications. Document project outcomes and present findings through clean, business-ready reports and dashboards. Interpret statistical output and translate it into practical business recommendations. Participate in regular evaluations, receive feedback, and improve output quality iteratively. What We're Looking For Currently pursuing or recently completed a degree in Business, Economics, Engineering, Statistics, or related fields. Strong interest in analytics, data-driven problem-solving, and business decision-making. Familiarity with Excel functions and a basic understanding of statistics and data interpretation. Willingness to learn new concepts such as regression, forecasting, and simulation modeling. Clear communication skills to present data insights in an understandable and visually appealing manner. Ability to manage multiple projects and meet deadlines in a remote, self-paced environment.