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Python Data Analyst

Capco · India - Bengaluru · India

Join Capco as a Python Data Analyst in Bengaluru and drive data‑centric transformation in finance and energy. Leverage Python, SQL, and BI tools to uncover insights, build dashboards, and automate reporting for top‑tier banks and insurers.

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Join Capco as a Python Data Analyst in Bengaluru and drive data‑centric transformation in finance and energy.

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Leverage Python, SQL, and BI tools to uncover insights, build dashboards, and automate reporting for top‑tier banks and insurers.

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About Us

“Capco, a Wipro company, is a global technology and management consulting firm. Awarded with Consultancy of the year in the  British Bank Award and has been ranked Top 100 Best Companies for Women in India 2022 by Avtar & Seramount . With our presence across 32 cities across globe, we support 100+ clients across banking, financial and Energy sectors. We are recognized for our deep transformation execution and delivery.

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WHY JOIN CAPCO?

You will work on engaging projects with the largest international and local banks, insurance companies, payment service providers and other key players in the industry. The projects that will transform the financial services industry.

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MAKE AN IMPACT

Innovative thinking, delivery excellence and thought leadership to help our clients transform their business. Together with our clients and industry partners, we deliver disruptive work that is changing energy and financial services.

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#BEYOURSELFATWORK

Capco has a tolerant, open culture that values diversity, inclusivity, and creativity.

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CAREER ADVANCEMENT

With no forced hierarchy at Capco, everyone has the opportunity to grow as we grow, taking their career into their own hands.

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DIVERSITY & INCLUSION

We believe that diversity of people and perspective gives us a competitive advantage.

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Job Description

Python Data Analyst 1. Key Responsibilities Data Extraction & Management: Write advanced SQL queries and Python scripts to pull data from diverse enterprise sources, data lakes, and APIs. [ 1 , 2 , 3 ] Data Cleansing & Preprocessing: Use Pandas to handle missing values, remove duplicates, and normalize large datasets for accurate analysis. [ 1 , 2 ] Exploratory Data Analysis (EDA): Identify trends, correlations, and anomalies in data using statistical methodologies and visualization libraries like Matplotlib or Seaborn . [ 1 , 2 , 3 , 4 , 5 ] Reporting & Automation: Create reproducible analytics workflows (Jupyter Notebooks), build automated reporting pipelines, and design interactive dashboards (Tableau, Power BI). [ 1 , 2 , 3 , 4 , 5 ] Collaboration: Partner with business stakeholders and product teams to translate data insights into actionable business strategies. [ 1 , 2 , 3 ] 2. Qualifications & Requirements Education: Bachelor’s or Master's degree in Computer Science, Data Science, Statistics, Economics, or a related quantitative field. Programming Skills: Strong proficiency in Python for data manipulation and automation; solid foundational knowledge of SQL. Data Stack: Hands‑on experience with Python libraries (Pandas, NumX) and BI tools (Power BI, Tableau). Soft Skills: Exceptional problem-solving abilities, strong business acumen, and the capability to present complex data findings to non-technical stakeholders If you are keen to join us, you will be part of an organization that values your contributions, recognizes your potential, and provides ample opportunities for growth. For more information, visit www.capco.com. Follow us on Twitter, Facebook, LinkedIn, and YouTube.

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