Job Description:

• Execute compelling performance analysis – with crisp data visualizations and observations.
• Understand project/assignment objectives, execute with great purpose and deliver quality.
• Develop a deep understanding of customer needs and use-cases overall, and in the domain of analytics specifically.
• You are known for delivering ad hoc analysis, reports, data explorations in a timely manner.
• In a short amount of time, you’ll have ideas and input on how we can improve frameworks, and understand customer, client and business dynamics in new ways.
• You utilize analytical and critical thinking skills to surface accurate and compelling insights.
• Create analytically focused presentations based on frameworks and with guidance of the senior team.
• Extract, summarize and analyze data, identify key insights for presentation.
• Provide comprehensive analytics support to partner teams.
• Ask clarifying questions to understand the objectives and decisions that are informed by the analysis.
• Utilize descriptive and predictive analytics to discover new insights, and build data products.
• Create visualizations that elegantly represent complex information.
• Communicate analysis to stakeholders and executives in verbal, visual, and written media.

We are looking for:

• Minimum Education: A Bachelor's degree or higher, preferably in Economics, Experimental Psychology, Mathematics, Operational Research, Information Science, Engineering, Statistics. (MS or MBA preferred).
• Required Experience: Fresh - 03 years.

Skills:

• Creativity.
• Just starting a professional career, perhaps with a few years of experience.
• A storyteller, with a knack for communicating concepts in presentations.
• Some experience executing analytics projects.
• Excellent with Excel and PowerPoint.
• You find ways to do things smarter through automation.
• Strong communication skills.
• Understand the payments and/or retail banking industry.
• Natural curiosity.
• Bias toward action.
• Commitment to accuracy, honesty and ethics.
• Fluency with data, analytics, and visualization technologies (SQL, MicroStrategy, R, Python, VBA, etc).
• Knowledge of analytics techniques such as general linear model, ANOVA, decision trees, linear regression etc.
• Fundamental understanding of hypothesis testing & campaign design.
• Fundamental understanding of standard predictive and classification models; when to use and how to interpret results.