Business Analyst

Job Description

 

WHAT SUCCESS LOOKS LIKE 

• Execute compelling performance analyses – 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 

WHAT YOU'LL DO DAY-TO-DAY 

• 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 

A GREAT FIT WILL HAVE SOME OF THE BELOW ATTRIBUTES 

• 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, Microsoft Powe BI, 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.
• A Bachelor's degree or higher, preferably in Business Analytics, Data Science, Economics, Experimental Psychology, Mathematics, Operational Research, Information Science, Computer Science, Engineering, Statistics.

We are looking for

• Education: Bachelors degree or higher, preferably in Business Analytics, Data Science, Economics, Experimental Psychology, Mathematics, Operational Research, Information Science, Computer Science, Engineering, Statistics.
• Experience: Fresh to 3 year of relevant experience

Skills

• Understand the payments and/or retail banking industry desired not mandatory.
• Good data sense with ability to connect the data dots to form solid and credible thesis and storylines.
• Good business acumen with ability to structure the real-world problems into quantitative framework to yield proper data science approaches.
• Strong communication skills.Fluency with Office tools (PPT, Word, Excel, etc)
• Strong logic building & ETL capabilities to extract and transform data.
• Fluency with data, analytics, and visualization technologies (Microsoft Power BI, R, Python, VBA, etc)