- Job Title: Analyst Data Analytics
- Salary: Not Disclosed
- Location: Bengaluru
- Company: American Express (AMEX)
- Qualification: B.Tech/B.E. in Any Specialization
- Experience: 6 – 11 years
ABOUT AMERICAN EXPRESS (AMEX)
American Express (AMEX) is a globally identified monetary services organization founded in New York City. Founded in 1850, AMEX is understood for its credit rating card, rate card, and tour-related offerings, catering to people, corporations, and buyers. The commercial enterprise employer offers a wide kind of products, which includes private and industrial company playing cards, tour rewards, and monetary gear. American Express is renowned for its top-price customer service, incredible perks, and sturdy emblem loyalty. It operates globally, serving tens of millions of clients throughout over 130 worldwide places.
AMEX moreover focuses on innovation in digital payments and financial generation, continuously growing its services through partnerships and acquisitions. Known for its robust dedication to company social responsibility, the commercial enterprise corporation facilitates community development, environmental sustainability, and economic literacy obligations. Its robust market presence makes it a leader in the international monetary services agency.
Job Overview:
An Analyst Data Analytics is liable for collecting, processing, and analyzing huge gadgets of information to offer actionable insights that strengthen agency picks. This position entails using statistical strategies, programming languages like Python or R, and facts visualization gear including Tableau or Power BI to interpret trends and patterns. Analysts collaborate with skip-functional groups to become privy to key overall performance signs (KPIs) and optimize strategies. Strong communication talents are vital for imparting findings and recommending techniques for improving business enterprise performance, efficiency, and profitability. A strong expertise in databases and analytical gadgets is crucial.
Qualifications and Skills for a Data Analytics Analyst:
Educational Qualifications:
- Bachelor’s Degree: A degree in a related challenge which includes Data Science, Computer Science, Statistics, Mathematics, Economics, or Business Analytics is usually required. Some positions may also get hold of applicants with degrees in other disciplines in the event that they have relevant enjoy or certifications.
- Master’s Degree (Optional): A grasp’s in Data Analytics, Business Intelligence, or an associated subject can be brought bent, particularly for roles related to extra advanced analytics or management obligations.
Technical Skills:
- Data Analysis & Statistical Skills: Strong statistics of statistical techniques, hypothesis sorting out, and statistics modeling. Familiarity with superior analytics strategies like regression evaluation, time series forecasting, and clustering is rather valued.
- Programming Languages: Proficiency in languages like Python, R, or SQL is critical for statistics manipulation, evaluation, and automating responsibilities. SQL is crucial for querying databases, while Python and R are often used for greater advanced analysis and automation.
- Data Visualization: Experience with statistics visualization gear together with Tableau, Power BI, or matplotlib to offer complex records in a smooth and actionable layout.
- Excel: Advanced Excel talents, such as pivot tables, macros, and VLOOKUP, are foundational for easy facts assessment and reporting.
- Big Data Tools: Familiarity with large facts technology like Hadoop, Spark, and NoSQL databases may be a good sized gain for handling huge datasets.
- Machine Learning (Optional): Basic statistics of system analyzing algorithms (e.g., clustering, category) may be a plus, mainly for predictive analytics roles.
Analytical Skills:
- Problem-Solving: Ability to technique complicated commercial business enterprise issues and use information-driven insights to provide answers.
- Critical Thinking: Ability to seriously compare statistics belongings, validate findings, and make sure facts are integrity and accuracy.
- Attention to Detail: A strong hobby to detail while cleaning, processing, and analyzing big datasets is critical for ensuring the accuracy and reliability of outcomes.
Soft Skills:
- Communication Skills: The capability to sincerely gift findings to both technical and non-technical stakeholders via reviews, dashboards, and presentations.
- Collaboration: Strong interpersonal abilties to paint correctly with cross-useful groups, together with advertising, finance, and operations.
- Time Management: Ability to address multiple projects, prioritize responsibilities, and meet deadlines in quick-paced surroundings.
Certifications (Optional but Beneficial):
- Google Data Analytics Professional Certificate
- Microsoft Certified: Data Analyst Associate
- SAS Certified Data Scientist
- Tableau Desktop Specialist
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