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Data Analyst with 2+ years in Data Management, Statistical Analysis & Business Intelligence
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Highly Results-driven Business Analytics and Data Analyst with expertise in data management, statistical analysis, and business intelligence. Experienced in working with large healthcare and financial datasets, leveraging Power BI, SQL, and Python to extract actionable insights. Proven ability to drive data-driven decision-making in public health, capital markets, and research domains. Strong communicator with a passion for transforming complex data into strategic solutions.
SRM University
Master of Business Administration · [Data Science specialization in Business Analytics]
March 1, 2021 – December 1, 2022
SIR CRR College for women
Bachelor of Commerce · [Finance and computer applications]
July 1, 2017 – September 1, 2020
Fernandez Foundation
DATA ANALYST (Data Quality Lead)
February 1, 2025 – Present
Hyderābād, Telangana, India
S&P Global
DATA ANALYST
July 1, 2023 – June 1, 2024
Hyderābād, Telangana, India
Power BI Certification
Unknown
June 1, 2026 – Present
Google Analytics Specialization
Unknown
June 1, 2026 – Present
Certificate of training in MYSQL
Unknown
June 1, 2026 – Present
Certification of training in Alteryx
Unknown
June 1, 2026 – Present
Data Analytics with Excel Certification
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's experience across different industries (healthcare, finance) and involvement in public health projects suggests adaptability and a broad perspective. Their collaboration with international teams (University of Birmingham) indicates an ability to work in diverse environments. The listed soft skills further support a positive cultural fit, emphasizing teamwork and communication.
Soft Skills & Operational Fit
The candidate demonstrates strong analytical and communication skills, decision-making, attention to detail, problem-solving, time management, and teamwork, which are crucial for a senior Data Analyst role. Their experience in coordinating with cross-functional teams and leading data quality initiatives indicates good operational fit and leadership potential.