Data Analyst

Summary

Managed a significant client deliverable and effectively socialized it with leadership and key stakeholders, resulting in a 20% improvement in project profitability, achieving company-wide strategic goals for the client.
Developed 25+ comprehensive data models utilizing R programming to access campaign efficacy and ROI/ROAS from detailed transactional data aggregation methods to campaign design of experiments (DOEs), offering invaluable insights to Retailers and Stakeholders.
Collaborated with business management, stakeholders, and development teams to implement effective digital solutions by conducting frequent stakeholder interviews with multiple use cases, leading to a 10% improvement in customer experience.
Led to effective decision-making in pricing and promotion of products more profitable, increasing client retention by 5%.
Analyzed audience behavior and demographics to optimize targeting strategies, resulting in a 15% improvement in campaign conversion
rates.
Created and maintained detailed dashboards and reports using tools like Tableau and Power BI to track KPIs and visualize performance trends for internal teams.
Leveraged advanced analytics tools and APIs to collect and process large volumes of social media data, ensuring accurate and timely acquisition of crucial metrics.
Created 20+ dashboards and reports for encompassing vital metrics and performance indicators to meet client requirements using Tableau and SQL.
Generated reports for Consumer-Packaged Goods (CPG) products from IRI data, conducting manual analysis to identify trends resulting in actionable insights for marketing and product development strategies, ultimately optimizing overall business performance.
Employed data analyzing tools like R, Python, and advanced Excel to aggregate and process social media data for A/B testing, facilitating data-driven insights for further campaign optimization.

Expectations

Data-driven recommendations , and potentially collaborate with cross-functional teams to improve processes or decision-making based on data insights. Continuous learning and staying updated with industry trends.

Would like to expand my skillset by collaborating with teams who led to business decisions.

Employment Preferences
Expected Base Salary

**,000 USD

Academic Degree
Experience

Total Professional Experience

3 years

Startup Experience

2 years

Big-Tech Companies

no experience

Enterprise Experience

2 years
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