Develop analytical frameworks to answer questions/solve business problems.
Perform exploratory data analysis to identify trends, patterns, and insights.
Hypothesis testing and reporting statistically significant results
Create and present data-driven insights to client/stakeholders, proficient with storytelling from the generated insights
Project Management skills with the ability to work independently with minimal support
Mentor/hand-hold junior team members on technical/problem-solving aspects
Apply multiple algorithms or architectures and recommend the best model with in-depth description to evangelize data-driven business decisions.
Structure hypothesis, build thoughtful analyses, develop underlying data models, and bring clarity to identified problems.
Create visually compelling dashboards and reports to effectively communicate data-driven insights
Effective communication skills to convey complex data insights, ability to collaborate with cross-functional teams, high levels of accountability in maintaining data integrity.
Qualifications
Bachelor’s degree in a quantitative discipline (e.g., Statistics, Economics, Mathematics, Marketing Analytics)
5-8 years of experience in the analytics field; Marketing analytics experience preferred.
Proficiency in Python, SQL(Must) and Tableau/Power BI/SAS (good to have).
Hands-on experience on Data Science projects, developing Predictive / ML models is mandatory.
Experience in Databricks environment would be a plus.
Superior analytical and problem-solving skills
Excellent verbal and written communication skills.