Job Role: Analyst Data Analytics
Salary: Rs 6,50,000 per year,
Location: Gurugram
Company: American Express
Qualification : B.B.A/ B.M.S
Experience: 1 – 5 years
ABOUT AMERICAN EXPRESS
American Express Company, based in 1850, is an international economic offerings enterprise centered in New York City. Renowned for its fee playing cards, credit score cards, and traveler’s cheques, American Express (often abbreviated as Amex) has recognition for top-rate customer service and a sturdy rewards program. Initially centered on express mail services, the organization developed over the long time, establishing itself as a leading participant in the monetary industry.
American Express gives a number of merchandise including credit playing cards, pay-as-you-go cards, and enterprise answers, catering to individuals and businesses alike. Its distinctive enterprise model emphasizes client pride, exclusivity, and monetary flexibility. Known for its iconic blue card, Amex serves thousands and thousands of customers internationally and is a key participant in each client and corporate finance. The business enterprise’s robust cognizance of innovation and top rate carrier maintains to distinguish it in an aggressive market.
Job Description:
As an Analyst Data Analytics, you will accumulate, analyze, and interpret complicated datasets to assist strategic selection-making. Responsibilities include growing data models, developing designated reports, and visualizing records trends to offer actionable insights. You will paint carefully with stakeholders to recognize enterprise desires, optimize records collection strategies, and make certain facts accurate. Proficiency in statistical equipment, programming languages such as Python or R, and records visualization software is needed. Strong analytical abilities, attention to element, and the potential to speak findings are vital for fulfillment in this position.
Qualifications and Skills for an Analyst Data Analytics
Educational Background:
- Bachelor’s Degree: Typically in Data Science, Statistics, Computer Science, Mathematics, Economics, or an associated area. Advanced stages (Master’s or Ph.D.) may be high quality for greater specialized roles.
Technical Skills:
- Statistical Analysis: Proficiency in statistical strategies and the ability to use these techniques to analyze complicated data units.
- Programming Languages: Experience with programming languages along with Python, R, SQL, or SAS. Knowledge of libraries and frameworks related to records analytics (e.g., Pandas, NumPy, Scikit-learn) is often required. ( Analyst Data Analytics)
- Data Visualization: Skills in the use of statistics visualization gear like Tableau, Power BI, or D3.Js to create intuitive and insightful visual representations of data.
- Database Management: Familiarity with database systems consisting of MySQL, PostgreSQL, or NoSQL databases like MongoDB. Ability to write down and optimize SQL queries for fact extraction and manipulation.
- Data Manipulation: Competence in statistics wrangling, cleaning, and remodeling raw facts right into a usable format for evaluation.
Analytical Skills:
- Problem-Solving: Strong analytical and problem-solving talents to interpret information styles, developments, and anomalies.
- Critical Thinking: Ability to assess information from more than one source, identify capacity troubles, and propose records-pushed answers.
- Attention to Detail: High degree of precision in reading records, making sure accuracy in information processing and reporting.
Soft Skills:
- Communication: Excellent verbal and written verbal exchange competencies to carry complex statistics findings to non-technical stakeholders honestly and successfully. ( Analyst Data Analytics)
- Collaboration: Ability to paint collaboratively with cross-practical teams inclusive of IT, commercial enterprise gadgets, and government management to acquire information-pushed desires.
- Project Management: Skills in dealing with more than one obligation and tasks simultaneously, with the capability to prioritize and meet closing dates.
Experience:
- Relevant Experience: Previous revel in an information analysis or similar position, ideally within the industry of the hiring agency.
- Portfolio: Demonstrable experience through past projects or a portfolio showcasing facts evaluation, visualization, and trouble-solving competencies.
Certifications (optional but useful):
- Certifications in data analytics equipment or methodologies (e.g., Certified Analytics Professional, Google Data Analytics Professional Certificate) can decorate credibility and knowledge.
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