Help & Supportcareers@gravityer.com
Data Analyst with 3+ years in Banking & Financial Services
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Results-driven Data Analyst with 3+ years of experience in Banking & Financial Services specializing in data processing, data cleaning, reporting automation, and exploratory data analysis. Skilled in SQL, Power BI, and Advanced Excel for analyzing large datasets, building dashboards, identifying trends, and improving operational efficiency. Proven ability to manage high-volume data operations with 99.9% accuracy under strict SLA timelines.
C-Edge Technologies
Data Analyst
January 1, 2024 – October 1, 2025
India
Wipro
Senior Associate – KYC Analytics
May 1, 2022 – July 1, 2023
India
Customer Data Quality Analysis
June 21, 2026 – Present
Conducted EDA to identify duplicate, missing, and inconsistent customer data and improved reporting accuracy.
Banking Operations Dashboard
June 21, 2026 – Present
Created an interactive Power BI dashboard to monitor SLA performance, case volumes, and operational KPIs using SQL and Excel.
Cultural Fit Analysis
The candidate has experience in two different companies (C-Edge Technologies and Wipro) and has worked on projects involving banking operations and customer data quality. This indicates adaptability to different organizational contexts and a focus on practical, business-oriented data analysis. The roles held are directly aligned with the target Data Analyst role, suggesting a good cultural fit for data-driven environments. The breadth of skills listed (SQL, Power BI, Excel, EDA, Data Cleaning, Data Processing, Dashboard Development, Data Visualization, Reporting Automation, Data Validation, MIS Reporting) also supports a versatile profile.
Soft Skills & Operational Fit
The candidate's resume highlights soft skills such as Team Collaboration, Documentation, Problem Solving, Communication, and Time Management. Their experience descriptions indicate a focus on accuracy, efficiency improvements, and collaboration, which are positive indicators for operational fit. However, without specific assessment data on these skills, a deeper evaluation is not possible.