Vinita Dhongani
Newcastle,Australia
Summary
Analyst with 6+ years delivering economic and business insights at global scale. Experienced in macroeconomic forecasting, econometric modelling, and scenario planning using Python, R, SQL, and Power BI. Proven impact includes improving forecast accuracy to 95%+, driving 20%+ efficiency gains, and enabling multi-million-dollar ROI decisions for Fortune 500 clients. Skilled at translating complex data into clear recommendations for senior leaders, building interactive dashboards, and applying Generative AI/NLP to unlock new insights. Recognised for stakeholder influence, cross-functional collaboration, and process optimisation using Lean Six Sigma and Agile methods.
Overview
8
8
years of professional experience
Work History
Analyst – Marketing Science
Annalect India
05.2023 - 10.2024
- Delivered econometric modelling, decision-support dashboards, and market research that optimised client ROI, improved data governance, and accelerated executive decision-making for global brands.
- Partnered with senior leaders to translate complex business requirements into EPICs, user stories, and interactive dashboards, improving campaign ROI across brands like Babybel, Medline, and Nissan.
- Applied advanced econometrics (regression, response/saturation curves, scenario modelling, outlier treatment) to deliver 95%+ forecast accuracy and enable data-driven investment allocation.
- Built and deployed Power BI dashboards that reduced reporting time by 40% and provided real-time KPIs for strategic planning.
- Used the MERI framework to track ROI and deliver actionable recommendations, directly influencing multimillion-dollar investment decisions.
- Conducted market and industry research (ABS, OECD, sector reports) to inform scenario planning and policy recommendations.
- Led UAT cycles and stakeholder training, driving adoption of analytics dashboards across cross-functional teams.
- Strengthened data governance and workflows using Lean, DMAIC, and Kaizen, reducing reporting errors and boosting efficiency.
- Key Skills Applied: Econometric & Statistical Analysis, Market Mix Modelling, Forecasting & Scenario Planning, Power BI & Excel Dashboards, Generative AI & NLP Insights, Stakeholder Engagement, Business Analysis, UAT, Process Optimisation (DMAIC, Lean, Kaizen)
Analyst – Market Mix Modelling
Nielsen
10.2019 - 05.2023
- Delivered advanced econometric models, market mix analyses, and decision-support dashboards that improved ROI measurement, data governance, and investment optimisation for global CPG clients across APAC, including Unilever, Nestlé, Reckitt, and P&G.
- Partnered with business stakeholders and vendors (Google, Facebook, media agencies) to align data pipelines and ensure model accuracy across multi-market datasets.
- Applied advanced econometric/statistical methods (regression, adstock/decay, elasticity calibrations, response & saturation curves) to optimise marketing spend and improve forecast precision by 15–20%.
- Designed and deployed Power BI dashboards that gave senior executives real-time visibility into KPIs, cutting reporting cycles by 30% and enabling faster investment decisions.
- Enhanced model robustness by applying outlier detection and treatment techniques (Z-score, IQR, winsorization), improving data quality across APAC markets.
- Produced business cases, impact assessments, and executive briefs that translated complex quantitative insights into actionable strategies, directly influencing multimillion-dollar marketing investments.
- Supported Agile delivery by leading UAT cycles, training stakeholders, and ensuring adoption of MMM tools across regional teams.
- Conducted as-is/to-be analysis to identify process gaps, recommending governance improvements that reduced reporting errors and improved consistency across markets.
- Key Skills Applied: Market Mix Modelling, Econometric & Statistical Analysis, Forecasting & Scenario Planning, Power BI Dashboards, Data Quality & Governance, Outlier Treatment, Stakeholder Engagement, Business Case Development, UAT & Agile Delivery, Process Optimisation (DMAIC, Lean, Kaizen), Generative AI & NLP for Insights
Financial Analyst – Aerospace
Honeywell
06.2018 - 10.2019
- Supported financial planning, forecasting, and economic analysis for Honeywell’s Aerospace & Defence division, including sensitive government-linked programs.
- Partnered with cross-functional teams to deliver actionable insights, identify risks/opportunities, and enhance reporting processes for high-value projects.
- Led financial planning and analysis projects, supporting sustainable growth and operational performance across aerospace and defence programs.
- Delivered timely and accurate financial reports (cash flow forecasts, revenue analysis, outlooks) to identify risks, cost-saving opportunities, and investment decisions.
- Analysed financial indicators (Unbilled, Deferred, Advance Revenue) to ensure alignment with compliance frameworks and business goals.
- Collaborated with stakeholders in finance and operations to prepare briefings, dashboards, and variance analyses for executive decision-making.
- Contributed to the Annual Operating Plan (AOP) and enhanced reporting cycles to improve efficiency and transparency.
- Utilised Hyperion Financial Management (HFM) for consolidated planning, forecasting, and reporting in a complex, compliance-heavy environment.
- Developed understanding of investment processes, financial controls, and performance drivers in the aerospace/defence sector.
- Key Skills Applied: Financial Analysis, Forecasting & Budgeting, Reporting & Documentation, Stakeholder Engagement, Process Improvement (DMAIC, Lean, Kaizen), Risk Identification & Mitigation, Hyperion Financial Management (HFM), Business Analysis Mindset
Research Intern – Manufacturing Sector
Capgemini
04.2017 - 06.2017
- Contributed to process improvement, knowledge management, and operational efficiency initiatives for the manufacturing sector.
- Supported cross-functional teams by analysing performance data, documenting workflows, and creating standardized tools to improve onboarding, issue resolution, and operational consistency.
- Developed a structured knowledge repository to support onboarding, cross-team collaboration, and best practice sharing.
- Analysed Order-to-Cash (OTC) performance data to identify recurring process bottlenecks and inefficiencies.
- Designed standardized templates and prioritization frameworks to streamline issue resolution and improve process consistency.
- Collaborated with cross-functional teams to translate research insights into reusable database objects, enabling scalable process automation and smoother client integration.
- Delivered concise analytical reports and strategic briefs to senior stakeholders, facilitating data-driven decision-making and operational improvements.
- Key Skills Applied: Business Analysis, Process Improvement (DMAIC, Lean, Kaizen), Requirements Gathering, Data Analysis, Reporting & Documentation, Stakeholder Engagement, Knowledge Management, Operational Efficiency, Data Modelling
Education
Master of Business Administration - Operations Management
Symbiosis Institute of Business Management
Bengaluru, India01.2018
Bachelor of Engineering - IT (Information Technology)
Sardar Vallabhbhai Patel Institute of Technology
Vasad, India01.2014
Skills
- Economic and statistical analysis
- Business and systems analysis
- Process modeling and optimization
- Data management and tools
- Reporting and visualization
- Stakeholder engagement and project management
- Emerging technologies AI
Volunteer Experience
Seed the earth by Art of Living, Participated in ecological restoration effort with over 250,000 seed balls created in 1 hour (World Book of Records). Active member of weekly meditation and wellness programs, fostering focus, resilience, and community wellbeing.
Awards
- Rockstar Rookie Marketing Award, 01/01/24, Recognised for driving client satisfaction with 100% on-time delivery across 3 major projects.
- Facebook Above & Beyond, 01/01/20, Delivered critical analytics project for Hong Kong, exceeding delivery benchmarks by 20%.
Certifications Skills
- Microsoft Power BI & Business Analyst
- Generative Artificial Intelligence workshop
- CBAP (In Progress) – Certified Business Analysis Professional
- Lean Six Sigma (Practitioner)
- Agile BA Practices (Scrum/Kanban exposure)
- Python (Pandas, NLP, Forecasting)
- R (Econometrics, Regression)
- Power BI & DAX, Excel (Advanced Modelling, Dashboards)
- Process Modelling (Visio, Miro, Lucidchart)
- Generative AI Applications for Business Analysis
- ServiceNow & Pega (conceptual understanding)
Timeline
Analyst – Marketing Science
Annalect India
05.2023 - 10.2024
Analyst – Market Mix Modelling
Nielsen
10.2019 - 05.2023
Financial Analyst – Aerospace
Honeywell
06.2018 - 10.2019
Research Intern – Manufacturing Sector
Capgemini
04.2017 - 06.2017
Master of Business Administration - Operations Management
Symbiosis Institute of Business Management
Bachelor of Engineering - IT (Information Technology)
Sardar Vallabhbhai Patel Institute of Technology