Senior Data Analyst Position

Job Description

As a Senior Analyst, you will play a key role in delivering value to clients via individual expertise and / or institutionalized assets. Your primary responsibilities include collecting and analyzing qualitative and quantitative data / information from clients to provide business intelligence and relevant tactical strategies to improve profitability.

Responsibilities

Key tasks involve developing pricing models for Financial Institutions, working on business cases and financial models to determine the impact of new opportunities and initiatives, performing pilots and testing that can help refine and improve pricing points on our models, assessing market / industry trends as well as the competitive performance of firms operating in a particular market, addressing client questions / queries using the data and content expertise, and preparing and delivering customized reports to clients.

Required Skills and Qualifications

To be successful in this role, you will need to possess strong analytical and problem-solving skills, excellent verbal and written communication with stakeholders at different levels in the organization, ability to work effectively and independently in a fast-paced, global and project environment, flexibility to work with teams in multiple regions and different time zones, and flexibility to travel when the project requires onsite delivery.

Technical skills required include a strong command of MS Office suite, esp. PowerPoint and Excel, working knowledge of SQL / Databases and modeling is needed. Use of other softwares / platforms such as Alteryx / MS Access, Python will be a strong advantage.

Benefits

You will have the opportunity to work in a collaborative model across the firm and throughout all levels of the client organization, generating results that allow our clients to thrive. Additionally, you will contribute to developing intellectual property & assets for the business and assist in onboarding and training junior colleagues based on your topic / sector expertise.

What You\'ll Bring

University degree with demonstrated high academic achievement, preferably in Business administration (with a focus on finance), quantitative sciences (e.g., mathematics, statistics, physics), economics, computer science, engineering or other data / analytical-centric disciplines. Knowledge / experience of 4 to 6 years in data analysis, business modelling and / or 2 / 3 years working with pricing models preferably in financial institutions is required.

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