American Express is hiring for an FRESHER entry level Data Analyst role in India

Position:

• Data Analyst, Data Analytics (SQL, Python, Power BI)

Company:

• American Express

Location:

• Gurugram, Haryana, India

Job type:

• Full Time

Job mode:

• Hybrid

Job requisition id:

• 26008118

Years of experience:

• 0 to 3 years

Company description

• American Express is one of the most recognized financial services organizations in the world, known for delivering premium customer experiences, trusted payment solutions, and innovative financial products across global markets. With a long standing history of serving millions of consumers, businesses, and merchants, the company has built a reputation around reliability, customer trust, security, and continuous innovation. Its services span credit cards, charge cards, travel solutions, business financing, merchant services, rewards programs, and digital payment ecosystems.

• The organization operates in multiple countries and supports a broad customer base ranging from individual consumers to large enterprises. Its culture is strongly centered around collaboration, inclusion, employee growth, and leadership development. Employees are encouraged to contribute ideas, solve business problems creatively, and work in teams that have global exposure and strategic impact.

• American Express invests significantly in analytics, digital transformation, automation, and customer intelligence to improve business outcomes and customer engagement. The company leverages modern technology, data science, and advanced analytics to strengthen marketing effectiveness, improve customer retention, and support strategic decisions across functions.

• Employees at Team Amex gain exposure to fast paced projects, international stakeholders, advanced analytical tools, and strong mentorship opportunities. The company also provides flexible work arrangements, wellness programs, learning opportunities, healthcare support, parental benefits, and career development initiatives to support professional and personal growth.

• The organization promotes diversity, equal opportunity employment, and a workplace where employees feel respected, heard, and empowered to grow their careers over the long term.

Profile overview:

• The Data Analyst role is part of the Analytics, Investment Optimization and Marketing Enablement team within the Global Commercial Services Marketing division. This team functions as a central analytics and insights engine that supports commercial card and non card business functions through data driven decision making and performance optimization.

• The selected candidate will work closely with marketing teams, analytics professionals, and business stakeholders to evaluate campaigns, analyze portfolio performance, understand customer behavior, and improve marketing efficiency. The role requires a strong understanding of data analysis, reporting methodologies, business intelligence tools, and problem solving approaches.

• The professional will be responsible for transforming raw business data into meaningful insights that help leadership teams improve customer engagement, marketing effectiveness, and business growth strategies. The position also involves monitoring campaign performance, measuring return on investment, and creating dashboards that support strategic decision making.

• Candidates joining this role will get exposure to SQL, Python, reporting automation, dashboard creation, business intelligence platforms, and customer analytics. They will collaborate with teams located across multiple geographies and support cross functional business initiatives.

• This opportunity is highly suitable for freshers and early career professionals interested in analytics, business intelligence, marketing analytics, and data driven business strategy. The role provides an opportunity to work in a global environment while learning advanced analytical frameworks and enterprise level business processes.

• The position demands strong communication skills, analytical thinking, attention to detail, stakeholder management abilities, and the capability to work independently while handling multiple priorities simultaneously.

Key responsibilities

Marketing analytics and campaign evaluation

• Support marketing teams by analyzing campaign performance and measuring business impact.

• Evaluate campaign effectiveness using performance metrics, conversion data, and ROI calculations.

• Generate actionable recommendations that improve marketing outcomes and customer targeting strategies.

• Analyze customer responses to different marketing treatments and identify areas for optimization.

• Track engagement metrics and help stakeholders understand campaign success indicators.

• Support strategic decision making through data backed analytical insights.

Portfolio and business performance analysis

• Conduct portfolio level analytics to identify trends, customer composition, and business performance indicators.

• Analyze historical and current datasets to identify patterns and future growth opportunities.

• Provide business outlook insights based on analytical findings and forecasting indicators.

• Monitor leading indicators that influence marketing and commercial performance.

• Support leadership teams with periodic analytical reviews and business performance reporting.

Dashboard creation and reporting

• Develop dashboards and reporting solutions using Power BI or similar business intelligence platforms.

• Ensure timely delivery of monthly reporting requirements for leadership stakeholders.

• Build automated reporting frameworks that improve reporting accuracy and efficiency.

• Simplify large datasets into visually understandable dashboards and presentations.

• Support business users with data interpretation and reporting guidance.

Cross functional collaboration

• Collaborate with marketing, analytics, and business teams across different regions and departments.

• Participate in discussions with stakeholders to understand business problems and analytical needs.

• Work closely with teams to define success metrics and measure project outcomes.

• Communicate analytical findings clearly to both technical and non technical stakeholders.

• Contribute to a collaborative work culture focused on innovation and problem solving.

Automation and innovation

• Identify opportunities to automate repetitive analytical tasks and reporting processes.

• Continuously improve analytical models, dashboards, and reporting methodologies.

• Suggest innovative analytical approaches that support business growth and operational efficiency.

• Challenge existing processes and contribute ideas that improve decision making quality.

• Support initiatives related to data modernization and process optimization.

Qualifications:

• Bachelor’s degree in quantitative disciplines such as Finance, Engineering, Mathematics, Computer Science, Economics, Statistics, or related analytical fields.

• Strong understanding of analytical thinking, data interpretation, and business problem solving.

• Mandatory proficiency in SQL for querying, data extraction, transformation, and analysis.

• Mandatory proficiency in Python for data analysis, automation, and reporting related tasks.

• Familiarity with data visualization and business intelligence tools such as Power BI or Tableau is preferred.

• Understanding of marketing analytics, campaign measurement, and business reporting concepts is beneficial.

• Ability to work independently while also collaborating effectively within matrixed and cross functional teams.

• Strong verbal and written communication skills with the ability to explain analytical insights clearly.

• Capability to manage multiple projects and deadlines in a fast paced global work environment.

• Good stakeholder management skills and the ability to influence business decisions using analytical insights.

• Basic understanding of customer analytics, performance tracking, and business metrics is considered valuable.

• Strong attention to detail and commitment toward delivering accurate analytical outputs.

• Willingness to learn modern analytical tools, frameworks, and enterprise reporting systems.

• Comfortable working with large datasets and solving business problems through structured analytical methods.

• Ability to adapt to evolving business priorities and changing organizational requirements.

Skills required

Technical skills

• SQL

• Python

• Power BI

• Tableau

• Data Analytics

• Marketing Analytics

• Dashboard Development

• Reporting Automation

• Data Visualization

• Portfolio Analytics

Analytical skills

• Business Analysis

• ROI Measurement

• Campaign Performance Analysis

• Customer Behavior Analysis

• Trend Identification

• Problem Solving

• Forecasting Support

• Insight Generation

Soft skills

• Communication Skills

• Stakeholder Management

• Team Collaboration

• Time Management

• Attention to Detail

• Multi Tasking

• Adaptability

• Presentation Skills

Work environment and culture

• Employees work in a collaborative and globally connected environment.

• Teams interact with stakeholders from multiple business units and geographic regions.

• The company encourages innovation, curiosity, and continuous learning.

• Employees are provided opportunities to enhance leadership and technical capabilities.

• Hybrid work arrangements provide flexibility depending on business requirements.

• The organization focuses on employee well being, career growth, and inclusive workplace practices.

• Team members are encouraged to contribute ideas and improve business processes.

• Employees gain exposure to enterprise level analytical projects and strategic decision making initiatives.

Career growth opportunities

• Exposure to enterprise analytics and global business operations.

• Opportunity to work on high impact marketing and analytics initiatives.

• Learning opportunities in data visualization, automation, and advanced analytics.

• Possibility to transition into advanced analytics, business intelligence, or data science roles in the future.

• Access to internal training programs, mentorship opportunities, and leadership development initiatives.

• Opportunity to build expertise in financial services analytics and commercial business strategy.

• Strong brand value that supports long term career progression within analytics and consulting domains.

Employee benefits

• Competitive salary structure.

• Performance based bonus incentives.

• Medical and healthcare benefits.

• Dental and vision coverage based on location policies.

• Life insurance and disability benefits.

• Flexible work arrangements.

• Paid parental leave support.

• Wellness and counseling programs.

• Learning and development opportunities.

• Leadership training and internal mobility programs.

Additional info:

• This opportunity is ideal for fresh graduates and early career professionals who want to build a career in analytics, business intelligence, and marketing analytics within a globally recognized financial services organization.

• The role combines technical analytics skills with business strategy exposure, making it suitable for candidates interested in solving real world business problems using data driven approaches.

• Candidates with strong SQL and Python fundamentals will have an advantage, especially those who are comfortable working with datasets, dashboards, reporting systems, and business performance metrics.

• Exposure to Power BI or Tableau can further strengthen a candidate’s profile for this role, although learning opportunities are available internally.

• The organization values collaboration, communication, and innovation. Employees are expected to actively contribute ideas, challenge traditional approaches, and support business improvements through analytical insights.

• Applicants should be comfortable working in fast paced environments where multiple projects, stakeholders, and deadlines need to be managed simultaneously.

• Since the role involves interaction with global teams, good communication and presentation skills are considered highly valuable.

• The position also offers exposure to automation initiatives, reporting modernization, and customer behavior analytics, helping candidates develop practical business analytics experience.

• Candidates joining this role can strengthen their long term career prospects in analytics, data science, business intelligence, consulting, marketing analytics, and financial services strategy.

• American Express promotes equal employment opportunities and supports diversity, inclusion, and employee well being across all levels of the organization.

Please click here to apply.