Account Profitability Analyst
3 weeks ago
Overview:
Per Account Profitability Analyst role involves the person to assessing financial data for the organization and identifying/tagging different cost, revenue components. This role will require critical thinking and analytical skills to support delivery of financial analytics projects. This will include working directly with finance, business teams on critical tasks including data gathering, data analysis, KPI identification and report design and maintenance. UAT/UVT of the data pipeline to establish the accuracy and usability of the data marts.
Roles & Responsibilities:
Preparing and maintain financial reports.
Provide standard / non-standard data as per the business needs from standard data marts
Possesses a high attention to detail and accuracy that is crucial in the analysis of large and disparate datasets.
Working knowledge of business logic, statistics, and process flow concepts.
Ability to create forecasts and conceptualize profitability models.
Perform UAT, UVT and performance tests on new data
Apply expertise in data mining and modelling leveraging multiple data sources to uncover unique insights, identify key performance drivers
Consult with partners to develop metrics and reporting solutions that measure key inputs, outputs, and productivity of business operations
Prepare concise, compelling written communications to present findings and recommendations to internal partners and document methods for transparency and continuity
Collaborate with data and analytics teams across bank to leverage vast data sets, analytic tools, and other resources to advance the quality and timeliness of analysis
Provide requirements for data analysis and data structure to improve ability to generate scalable analytic solutions
Qualifications and Skills:
Educational qualification – Bachelors / Master in STEM (science, technology, engineering, and mathematics) from any reputed institute
At least 3 years of hands-on experience in BFSI / FMCG / ecommerce / fintech.
Demonstrated analytical skills to work through complex problems, manipulate and analyse large data sets, and produce actionable business insights
Proficiency in extracting and manipulating data using SAS, Python, PySpark, R, SQL, PostgreSQL with a strong focus on data integrity and accuracy, Excel for ad hoc data analysis, visualization.
Working experience in AWS environment for data access and analysis
Excellent written and verbal communication skills for coordinating across teams.
A drive to learn and master new technologies, techniques, and digital banking.
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