About the Company
Business Analyst Data Analytics professionals at American Express have the opportunity to work in a globally recognized organization with a legacy of innovation. American Express is renowned for providing unmatched financial services while nurturing talent through structured career development and leadership programs. Employees contribute to shaping strategic marketing campaigns, digital solutions, and consumer engagement initiatives that impact millions of customers worldwide.
The company fosters a collaborative culture, emphasizing creativity, data-driven decision-making, and continuous learning. Professionals in this role gain exposure to cutting-edge tools, advanced analytics techniques, and large-scale data ecosystems. American Express prioritizes employee well-being, flexible working arrangements, and robust support for professional growth. Joining as a Business Analyst Data Analytics professional means being part of a team that leverages insights to drive business success while delivering exceptional customer experiences.
Job Details
Job Title: Business Analyst Data Analytics
Job ID: 25017882
Location: Gurgaon, Haryana, India (Hybrid)
Employment Type: Full-Time
Batch: 2023–2025
Experience: 1–3 Years
Salary: As per Industry Standards
Qualification: Bachelor’s in Statistics, Mathematics, Economics, or Engineering
Certifications: Optional: Data Analytics or Business Intelligence Certifications
Department: Analytics & Insights
Role Overview
Business Analyst Data Analytics professionals focus on deriving insights from complex datasets to improve business outcomes. In this role, team members work closely with marketing, operations, and technology units to convert raw data into actionable recommendations. They manage projects from problem definition to presenting strategic insights that influence key enterprise decisions. The position involves analyzing trends, building predictive models, and creating dashboards to track performance metrics. Employees collaborate with global teams, ensuring that analytics solutions align with business priorities and deliver measurable impact on revenue and customer satisfaction. The role encourages continuous improvement, innovation, and applying analytics to optimize offers, campaigns, and customer engagement initiatives.
Key Responsibilities
Analyze data to identify trends, patterns, and opportunities for business growth.
Develop reports and dashboards to support strategic decision-making.
Collaborate with marketing, product, and operations teams to implement analytics solutions.
Interpret complex datasets to provide insights for improving customer experience.
Support data-driven projects and initiatives across multiple business units.
Required Skills
Proficiency in Python, SQL, Hive, PySpark, Tableau, and PowerBI.
Strong knowledge of advanced statistical techniques for data analysis.
Expertise in data visualization and reporting tools.
Advanced Excel skills for manipulating large datasets.
Ability to manage multiple projects efficiently with accuracy.
Preferred Skills (Good to Have)
Experience in merchant or consumer business analytics.
Familiarity with cloud platforms and big data ecosystems.
Knowledge of predictive modeling, A/B testing, and machine learning applications.
Understanding of marketing campaign analytics and customer segmentation.
Prior exposure to global cross-functional teams and business operations.
Who Can Apply?
Business Analyst Data Analytics aspirants with 1–3 years of experience in analytics or business intelligence domains are encouraged to apply. Candidates with a Bachelor’s degree in Statistics, Mathematics, Economics, or Engineering, and preferably a Master’s or certifications in relevant fields, will excel in this role. Professionals who enjoy working in dynamic, data-driven environments and collaborating with cross-functional global teams are ideal. Individuals eager to leverage data insights to drive strategic decisions and enhance customer engagement will find this position highly rewarding.
Perks & Benefits
Employees enjoy competitive base salaries and performance-linked bonuses. Comprehensive medical, dental, vision, life insurance, and disability benefits support holistic well-being. Flexible work arrangements, including hybrid and remote options, allow professionals to balance work and personal life effectively. Paid parental leave policies, wellness programs, and access to global wellness centers enhance the employee experience. Additionally, career development, training programs, and mentorship opportunities help professionals grow as leaders. Employees gain exposure to innovative projects, advanced analytics platforms, and global initiatives, ensuring continuous learning and professional advancement.
Why Join American Express?
Business Analyst Data Analytics professionals join an organization with a rich history of 175 years in innovation and excellence. The company invests in cutting-edge technologies, enabling teams to derive actionable insights and drive business outcomes. Employees are empowered to challenge the status quo, lead initiatives, and influence enterprise-level decisions. Joining offers exposure to global projects, cross-functional teams, and opportunities to grow in leadership roles. American Express values integrity, learning agility, and continuous innovation, making it an ideal workplace for analytics experts aiming to make a significant impact in the financial services domain.
How to Apply
Ready to start your journey as a Business Analyst Data Analytics at American Express? Follow these simple steps to apply:
Prepare your updated resume.
Highlight your most relevant skills, projects, and achievements.
Click the “Apply Now” Button below.
Complete the online application form.
Submit your application and await further communication from the recruitment team.
FAQs
Q1: Who can apply?
Candidates with a relevant degree and 1–3 years experience.
Q2: What skills are required?
Python, SQL, Hive, PySpark, Tableau, PowerBI, Excel.
Q3: Where is the job located?
Gurgaon, Haryana – Hybrid work model.
Q4: Is merchant/consumer experience needed?
Preferred but not mandatory.
Q5: How to apply?
Click “Apply Now” and submit your resume online.
