
Analyst, Big Data Analytics & Engineering
Are you passionate about using data to drive business decisions? Do you have a strong analytical mindset and a knack for problem-solving? If so, Mastercard is looking for an Analyst, Big Data Analytics & Engineering to join our team. In this role, you will be responsible for analyzing large datasets to uncover insights and trends, as well as developing and maintaining data pipelines to support our business operations. We are seeking a highly skilled and motivated individual who can thrive in a fast-paced and dynamic environment. If you have a degree in computer science, engineering, or a related field, and experience with big data technologies and programming languages, we encourage you to apply for this exciting opportunity.
- Conduct data analysis using large datasets to identify trends and insights.
- Develop and maintain data pipelines to support business operations.
- Utilize strong analytical skills and problem-solving abilities to extract meaningful information from complex data sets.
- Collaborate with cross-functional teams to understand business needs and provide data-driven insights and recommendations.
- Stay updated with industry trends and advancements in big data technologies to continuously improve data analysis processes.
- Develop and maintain data models and algorithms to enhance data analysis capabilities.
- Ensure data accuracy, completeness, and integrity across all data sources.
- Maintain and optimize existing data infrastructure, including data warehouses and databases.
- Use programming languages and big data technologies to manipulate, clean, and analyze data.
- Communicate findings and insights in a clear and concise manner to both technical and non-technical stakeholders.
- Proactively identify and troubleshoot data-related issues and propose solutions.
- Collaborate with team members to design and implement data-driven solutions to business problems.
- Adhere to data privacy and security protocols to protect sensitive information.
- Participate in training and knowledge-sharing activities to enhance team capabilities.
- Contribute to the continuous improvement of data analytics processes and methodologies.
Bachelor's Or Master's Degree In A Relevant Field Such As Computer Science, Data Science, Or Information Technology.
Minimum Of 3-5 Years Of Experience In Big Data Analytics And Engineering, Preferably In The Financial Services Industry.
Proficiency In Programming Languages Such As Python, Sql, And Java, As Well As Experience Working With Big Data Tools Such As Hadoop, Spark, And Kafka.
Strong Analytical And Problem-Solving Skills, With The Ability To Interpret And Analyze Complex Data Sets.
Excellent Communication And Collaboration Skills, With The Ability To Work Effectively In A Team And Present Findings To Various Stakeholders.
Programming
Business Intelligence
Data Analysis
Database Management
Machine Learning
Data warehousing
Data Visualization
Data Mining
Statistical modeling
Predictive analytics
Software engineering
Data
Communication
Conflict Resolution
Emotional Intelligence
Leadership
Time management
creativity
Teamwork
Adaptability
Problem-Solving
Decision-making
According to JobzMall, the average salary range for a Analyst, Big Data Analytics & Engineering in Pune, Maharashtra, India is between ₹ 7,00,000 to ₹ 12,00,000 per year. This can vary depending on factors such as experience, qualifications, and the specific industry or company the analyst is working for. Some companies may offer higher salaries for candidates with advanced skills and experience in big data analytics and engineering. Additionally, salaries may also be influenced by the demand for such professionals in the job market.
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Mastercard is a leader in global payments and a technology company that connects billions of consumers, thousand of financial institutions, and millions of merchants, as well as governments and businesses around the world.

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