Python Data Analyst
Capco · Bengaluru, Karnataka, India
Financial Services · 5,001-10,000 employees
About the role
The role involves extracting and managing data using SQL and Python, as well as performing data cleansing and exploratory analysis. The analyst will also build automated reporting pipelines and interactive dashboards to provide actionable business strategies.
What they look for
Requirements
Candidates must hold a Bachelor's or Master's degree in a quantitative field such as Computer Science, Data Science, or Statistics. Proficiency in Python, SQL, and BI tools like Tableau or Power BI is required, along with strong problem-solving and communication skills.
Full description
Job Title: Python Data Analyst
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.
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.
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.
#BEYOURSELFATWORK
Capco has a tolerant, open culture that values diversity, inclusivity, and creativity.
CAREER ADVANCEMENT
With no forced hierarchy at Capco, everyone has the opportunity to grow as we grow, taking their career into their own hands.
DIVERSITY & INCLUSION
We believe that diversity of people and perspective gives us a competitive advantage.
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, NumPy) 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.
