What Jobs are available for Data Driven Solutions in India?
Showing 265 Data Driven Solutions jobs in India
Senior Data Strategy Consultant
Posted 3 days ago
Job Viewed
Job Description
**Summary:**
Are you passionate about leveraging data to drive strategic decisions and innovation in a dynamic industry? As a Senior Data Strategy Consultant, you will play a pivotal role in our journey to become a data-driven organization. You will design and implement comprehensive data strategies that align with our business objectives, ensuring our data assets are organized, accessible, and utilized effectively. Collaborate with cross-functional teams to transform data into actionable insights and fuel our growth. Join a forward-thinking environment where your expertise will shape the future of our data initiatives.
**Detailed Responsibilities:**
+ Develop and execute holistic data strategies that align with business goals and drive innovation.
+ Collaborate with IT, business units, and senior leadership to integrate data-driven insights into decision-making processes.
+ Design and implement data governance frameworks, ensuring data integrity, quality, and compliance with regulations.
+ Lead efforts in data architecture planning and modernization, focusing on scalability and security.
+ Oversee the development and execution of advanced analytics and business intelligence initiatives to support business performance.
+ Identify and evaluate emerging data technologies and trends, proposing enhancements to data capabilities.
+ Manage relationships with external data vendors and partners, ensuring alignment with strategic objectives.
+ Mentor and guide a team of data professionals, fostering a culture of continuous learning and excellence.
+ Stay current with industry trends and best practices, proactively suggesting improvements to data strategy processes.
+ Ensure all data strategy activities comply with regulatory standards and internal policies.
**Must-Have Qualifications:**
+ Minimum 15 years of experience in data strategy, data management, or related roles.
+ Proven expertise in developing and implementing successful data strategies in complex organizations.
+ Strong understanding of data architecture, data governance, and data analytics.
+ Experience with data management technologies and tools (e.g., SQL, Hadoop, Tableau).
+ Demonstrated leadership skills with the ability to influence and inspire cross-functional teams.
+ Excellent analytical and problem-solving skills, with a keen ability to translate data into strategic insights.
+ Proficiency in data privacy regulations and best practices.
**Preferred Qualifications:**
+ Advanced degree in Data Science, Computer Science, Information Technology, Business Administration, or a related field.
+ Relevant certifications (e.g., CDMP, DAMA) are a plus.
+ Experience in the (specific industry) sector, particularly with regulatory and compliance requirements.
+ Familiarity with Agile methodologies and project management tools (e.g., JIRA, Confluence).
**Job Title: Senior Data Strategy Consultant**
**Summary:**
Are you passionate about leveraging data to drive strategic decisions and innovation in a dynamic industry? As a Senior Data Strategy Consultant, you will play a pivotal role in our journey to become a data-driven organization. You will design and implement comprehensive data strategies that align with our business objectives, ensuring our data assets are organized, accessible, and utilized effectively. Collaborate with cross-functional teams to transform data into actionable insights and fuel our growth. Join a forward-thinking environment where your expertise will shape the future of our data initiatives.
**Detailed Responsibilities:**
+ Develop and execute holistic data strategies that align with business goals and drive innovation.
+ Collaborate with IT, business units, and senior leadership to integrate data-driven insights into decision-making processes.
+ Design and implement data governance frameworks, ensuring data integrity, quality, and compliance with regulations.
+ Lead efforts in data architecture planning and modernization, focusing on scalability and security.
+ Oversee the development and execution of advanced analytics and business intelligence initiatives to support business performance.
+ Identify and evaluate emerging data technologies and trends, proposing enhancements to data capabilities.
+ Manage relationships with external data vendors and partners, ensuring alignment with strategic objectives.
+ Mentor and guide a team of data professionals, fostering a culture of continuous learning and excellence.
+ Stay current with industry trends and best practices, proactively suggesting improvements to data strategy processes.
+ Ensure all data strategy activities comply with regulatory standards and internal policies.
**Must-Have Qualifications:**
+ Minimum 15 years of experience in data strategy, data management, or related roles.
+ Proven expertise in developing and implementing successful data strategies in complex organizations.
+ Strong understanding of data architecture, data governance, and data analytics.
+ Experience with data management technologies and tools (e.g., SQL, Hadoop, Tableau).
+ Demonstrated leadership skills with the ability to influence and inspire cross-functional teams.
+ Excellent analytical and problem-solving skills, with a keen ability to translate data into strategic insights.
+ Proficiency in data privacy regulations and best practices.
**Preferred Qualifications:**
+ Advanced degree in Data Science, Computer Science, Information Technology, Business Administration, or a related field.
+ Relevant certifications (e.g., CDMP, DAMA) are a plus.
+ Experience in the (specific industry) sector, particularly with regulatory and compliance requirements.
+ Familiarity with Agile methodologies and project management tools (e.g., JIRA, Confluence).
**Job Title: Senior Data Strategy Consultant**
**Summary:**
Are you passionate about leveraging data to drive strategic decisions and innovation in a dynamic industry? As a Senior Data Strategy Consultant, you will play a pivotal role in our journey to become a data-driven organization. You will design and implement comprehensive data strategies that align with our business objectives, ensuring our data assets are organized, accessible, and utilized effectively. Collaborate with cross-functional teams to transform data into actionable insights and fuel our growth. Join a forward-thinking environment where your expertise will shape the future of our data initiatives.
**Detailed Responsibilities:**
+ Develop and execute holistic data strategies that align with business goals and drive innovation.
+ Collaborate with IT, business units, and senior leadership to integrate data-driven insights into decision-making processes.
+ Design and implement data governance frameworks, ensuring data integrity, quality, and compliance with regulations.
+ Lead efforts in data architecture planning and modernization, focusing on scalability and security.
+ Oversee the development and execution of advanced analytics and business intelligence initiatives to support business performance.
+ Identify and evaluate emerging data technologies and trends, proposing enhancements to data capabilities.
+ Manage relationships with external data vendors and partners, ensuring alignment with strategic objectives.
+ Mentor and guide a team of data professionals, fostering a culture of continuous learning and excellence.
+ Stay current with industry trends and best practices, proactively suggesting improvements to data strategy processes.
+ Ensure all data strategy activities comply with regulatory standards and internal policies.
**Must-Have Qualifications:**
+ Minimum 15 years of experience in data strategy, data management, or related roles.
+ Proven expertise in developing and implementing successful data strategies in complex organizations.
+ Strong understanding of data architecture, data governance, and data analytics.
+ Experience with data management technologies and tools (e.g., SQL, Hadoop, Tableau).
+ Demonstrated leadership skills with the ability to influence and inspire cross-functional teams.
+ Excellent analytical and problem-solving skills, with a keen ability to translate data into strategic insights.
+ Proficiency in data privacy regulations and best practices.
**Preferred Qualifications:**
+ Advanced degree in Data Science, Computer Science, Information Technology, Business Administration, or a related field.
+ Relevant certifications (e.g., CDMP, DAMA) are a plus.
+ Experience in the (specific industry) sector, particularly with regulatory and compliance requirements.
+ Familiarity with Agile methodologies and project management tools (e.g., JIRA, Confluence).
Is this job a match or a miss?
Senior Data Strategy Consultant
Posted 3 days ago
Job Viewed
Job Description
**Summary:**
Are you passionate about leveraging data to drive strategic decisions and innovation in a dynamic industry? As a Senior Data Strategy Consultant, you will play a pivotal role in our journey to become a data-driven organization. You will design and implement comprehensive data strategies that align with our business objectives, ensuring our data assets are organized, accessible, and utilized effectively. Collaborate with cross-functional teams to transform data into actionable insights and fuel our growth. Join a forward-thinking environment where your expertise will shape the future of our data initiatives.
**Detailed Responsibilities:**
+ Develop and execute holistic data strategies that align with business goals and drive innovation.
+ Collaborate with IT, business units, and senior leadership to integrate data-driven insights into decision-making processes.
+ Design and implement data governance frameworks, ensuring data integrity, quality, and compliance with regulations.
+ Lead efforts in data architecture planning and modernization, focusing on scalability and security.
+ Oversee the development and execution of advanced analytics and business intelligence initiatives to support business performance.
+ Identify and evaluate emerging data technologies and trends, proposing enhancements to data capabilities.
+ Manage relationships with external data vendors and partners, ensuring alignment with strategic objectives.
+ Mentor and guide a team of data professionals, fostering a culture of continuous learning and excellence.
+ Stay current with industry trends and best practices, proactively suggesting improvements to data strategy processes.
+ Ensure all data strategy activities comply with regulatory standards and internal policies.
**Must-Have Qualifications:**
+ Minimum 15 years of experience in data strategy, data management, or related roles.
+ Proven expertise in developing and implementing successful data strategies in complex organizations.
+ Strong understanding of data architecture, data governance, and data analytics.
+ Experience with data management technologies and tools (e.g., SQL, Hadoop, Tableau).
+ Demonstrated leadership skills with the ability to influence and inspire cross-functional teams.
+ Excellent analytical and problem-solving skills, with a keen ability to translate data into strategic insights.
+ Proficiency in data privacy regulations and best practices.
**Preferred Qualifications:**
+ Advanced degree in Data Science, Computer Science, Information Technology, Business Administration, or a related field.
+ Relevant certifications (e.g., CDMP, DAMA) are a plus.
+ Experience in the (specific industry) sector, particularly with regulatory and compliance requirements.
+ Familiarity with Agile methodologies and project management tools (e.g., JIRA, Confluence).
**Job Title: Senior Data Strategy Consultant**
**Summary:**
Are you passionate about leveraging data to drive strategic decisions and innovation in a dynamic industry? As a Senior Data Strategy Consultant, you will play a pivotal role in our journey to become a data-driven organization. You will design and implement comprehensive data strategies that align with our business objectives, ensuring our data assets are organized, accessible, and utilized effectively. Collaborate with cross-functional teams to transform data into actionable insights and fuel our growth. Join a forward-thinking environment where your expertise will shape the future of our data initiatives.
**Detailed Responsibilities:**
+ Develop and execute holistic data strategies that align with business goals and drive innovation.
+ Collaborate with IT, business units, and senior leadership to integrate data-driven insights into decision-making processes.
+ Design and implement data governance frameworks, ensuring data integrity, quality, and compliance with regulations.
+ Lead efforts in data architecture planning and modernization, focusing on scalability and security.
+ Oversee the development and execution of advanced analytics and business intelligence initiatives to support business performance.
+ Identify and evaluate emerging data technologies and trends, proposing enhancements to data capabilities.
+ Manage relationships with external data vendors and partners, ensuring alignment with strategic objectives.
+ Mentor and guide a team of data professionals, fostering a culture of continuous learning and excellence.
+ Stay current with industry trends and best practices, proactively suggesting improvements to data strategy processes.
+ Ensure all data strategy activities comply with regulatory standards and internal policies.
**Must-Have Qualifications:**
+ Minimum 15 years of experience in data strategy, data management, or related roles.
+ Proven expertise in developing and implementing successful data strategies in complex organizations.
+ Strong understanding of data architecture, data governance, and data analytics.
+ Experience with data management technologies and tools (e.g., SQL, Hadoop, Tableau).
+ Demonstrated leadership skills with the ability to influence and inspire cross-functional teams.
+ Excellent analytical and problem-solving skills, with a keen ability to translate data into strategic insights.
+ Proficiency in data privacy regulations and best practices.
**Preferred Qualifications:**
+ Advanced degree in Data Science, Computer Science, Information Technology, Business Administration, or a related field.
+ Relevant certifications (e.g., CDMP, DAMA) are a plus.
+ Experience in the (specific industry) sector, particularly with regulatory and compliance requirements.
+ Familiarity with Agile methodologies and project management tools (e.g., JIRA, Confluence).
**Job Title: Senior Data Strategy Consultant**
**Summary:**
Are you passionate about leveraging data to drive strategic decisions and innovation in a dynamic industry? As a Senior Data Strategy Consultant, you will play a pivotal role in our journey to become a data-driven organization. You will design and implement comprehensive data strategies that align with our business objectives, ensuring our data assets are organized, accessible, and utilized effectively. Collaborate with cross-functional teams to transform data into actionable insights and fuel our growth. Join a forward-thinking environment where your expertise will shape the future of our data initiatives.
**Detailed Responsibilities:**
+ Develop and execute holistic data strategies that align with business goals and drive innovation.
+ Collaborate with IT, business units, and senior leadership to integrate data-driven insights into decision-making processes.
+ Design and implement data governance frameworks, ensuring data integrity, quality, and compliance with regulations.
+ Lead efforts in data architecture planning and modernization, focusing on scalability and security.
+ Oversee the development and execution of advanced analytics and business intelligence initiatives to support business performance.
+ Identify and evaluate emerging data technologies and trends, proposing enhancements to data capabilities.
+ Manage relationships with external data vendors and partners, ensuring alignment with strategic objectives.
+ Mentor and guide a team of data professionals, fostering a culture of continuous learning and excellence.
+ Stay current with industry trends and best practices, proactively suggesting improvements to data strategy processes.
+ Ensure all data strategy activities comply with regulatory standards and internal policies.
**Must-Have Qualifications:**
+ Minimum 15 years of experience in data strategy, data management, or related roles.
+ Proven expertise in developing and implementing successful data strategies in complex organizations.
+ Strong understanding of data architecture, data governance, and data analytics.
+ Experience with data management technologies and tools (e.g., SQL, Hadoop, Tableau).
+ Demonstrated leadership skills with the ability to influence and inspire cross-functional teams.
+ Excellent analytical and problem-solving skills, with a keen ability to translate data into strategic insights.
+ Proficiency in data privacy regulations and best practices.
**Preferred Qualifications:**
+ Advanced degree in Data Science, Computer Science, Information Technology, Business Administration, or a related field.
+ Relevant certifications (e.g., CDMP, DAMA) are a plus.
+ Experience in the (specific industry) sector, particularly with regulatory and compliance requirements.
+ Familiarity with Agile methodologies and project management tools (e.g., JIRA, Confluence).
Is this job a match or a miss?
Senior Manager Data Strategy & Insights
Posted 10 days ago
Job Viewed
Job Description
Company Overview:
Chargeback Gurus helps businesses protect and recover revenue by providing innovative chargeback management solutions, AI analytics, and insights powered by our proprietary Chargeback management platform. By understanding our clients’ needs and fully aligning with their goals, we help clients reduce chargebacks and increase recovery rates to maximize revenue. Our technology solutions use powerful AI insights, data science and advanced analytics —combined with deep industry expertise—to deliver hundreds of millions of dollars in recovered revenue to our clients. visit .
We are seeking a Senior Manager – Data Strategy & Insights to lead our data strategy efforts. This role will be instrumental in uncovering trends across transaction ecosystems, analyzing card usage behaviors, and deriving insights related to issuing banks. The ideal candidate will drive the development of robust reporting frameworks and data driven solutions.
Position Overview:
As the Senior Manager – Data Strategy & Insights , your role will be instrumental in shaping the company’s data strategy, enabling bold, insight-driven decisions that impact revenue, client experience, and operational efficiency.
This is an individual contributor role which requires a blend of strategic thinking, technical expertise, and leadership, with a strong understanding of MIS architecture, data visualization, and automation frameworks.
Key Responsibilities:
Data Analysis & Business Insights
- Analyze large and complex datasets related to financial transactions, customer behavior, chargeback trends, and risk assessment.
- Identify patterns, correlations, and trends to enhance fraud prevention and improve operational efficiency.
- Provide data analysis to help stakeholders make data-driven business decisions.
- Visualize KPIs for executive leadership and partner with data engineering teams to ensure seamless integration of MIS with organizational data warehouses.
Data Visualization:
- Utilize data visualization tools such as PPT, Tableau, Power BI, QuickSight or similar platforms to transform complex data into intuitive visual representations.
- Design interactive dashboards and reports that allow stakeholders to explore data and gain insights through interactive and dynamic filters and drill-down capabilities.
- Must be able to interpret complex concepts and translate them into easy-to-understand graphs, charts, and visual graphics.
- Create intuitive data visualizations and reports that facilitate understanding and decision-making across various organizational levels.
Cross-Functional Collaboration
- Work closely with Sales, Operations, Finance, and Product teams to translate data into business strategies.
- Support the Sales team by providing insights into ROI, revenue optimization, and market trends.
- Collaborate with IT teams to enhance data governance and security protocols.
- Guide executives and business leaders on leveraging MIS tools for strategic decision-making.
Process Optimization & Innovation
- Continuously evaluate and optimize MIS processes to improve operational efficiency.
- Implement data analytics solutions to improve forecasting and fraud detection.
- Enhance data integrity by establishing data quality control measures.
Data Integrity and Quality Assurance:
- Ensure data accuracy, completeness, and consistency in various datasets used for analysis.
- Collaborate in data cleansing and transformation activities.
Continuous Learning and Industry Expertise:
- Stay updated with the latest trends and techniques in data analysis, machine learning, and the chargeback industry.
- Share insights and best practices with the team to foster continuous improvement.
Qualifications:
- Bachelor’s/Master’s degree in Commerce and Business Administration with an additional qualification in Data Analytics and Reporting.
- 12-15 years of experience in MIS, Data Analytics, preferably in the financial services, payments, or chargeback industry, with at least 4 years in a leadership role.
- Demonstrated ability to influence senior leadership through data storytelling and strategic insights.
- Woking knowledge in SQL, VBA, and data visualization tools (Power BI, Tableau, QuickSight).
- Proven experience in automation of reporting and dashboarding.
- Excellent command over MS Excel, PowerPoint, and Word for data interpretation and presentations.
- Strong problem-solving skills with the ability to extract actionable insights from complex data.
- Six Sigma, PMP, or Lean certifications would be a plus.
- Strong leadership and communication skills, with the ability to present technical insights to non-technical audiences.
- Ability to work in UK/US time zones (IST shifts between 3 PM – 12 AM).
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Lead of Data Strategy & Alliances
Posted 13 days ago
Job Viewed
Job Description
Company Description
Cyble (YC W21) is a Series B-funded global cyber intelligence start-up supported by notable VC firms and Y Combinator. We provide customers with AI-powered actionable threat intelligence to manage cyber risks effectively. Our team specializes in delivering cutting-edge solutions to help organizations and governments stay ahead of cyber threats.
We’re building the next generation of memory-augmented AI systems—agents that learn , recall , and reason like humans. Our mission is to develop long-context AI that’s persistent, intelligent, and adaptive. If you’re passionate about solving fundamental problems in memory for AI , we want to hear from you. At Cyble, you won’t just work with toy datasets or academic-scale models—you’ll be applying your ideas to petabyte-scale real-world data , spanning global threat intelligence, telemetry, signals, and behavioral metadata.
The Lead of Data Strategy & Alliances will be responsible for shaping and executing Cyble’s global data acquisition roadmap. You’ll identify, evaluate, and secure strategic alliances with external providers to expand our intelligence coverage across people, organizations, locations, and digital infrastructure .
This role requires a unique blend of technical expertise, partnership building, and intelligence tradecraft . You will work closely with our product, engineering, and AI teams to ensure that every acquired dataset drives tangible impact for Cyble’s customers.
Data Strategy & Acquisition
- Define and execute the roadmap for acquiring high-value datasets aligned to Cyble’s product vision.
- Evaluate and negotiate partnerships, vendor relationships, and ecosystem collaborations.
- Drive seamless integration of external datasets into Cyble’s AI-native intelligence platform .
Alliances & Partnerships
- Build long-term relationships with data providers, intelligence consortiums, and ecosystem partners.
- Structure partnership models that maximize strategic advantage while ensuring compliance.
- Represent Cyble in global forums and industry alliances.
Data Quality & Governance
- Rigorously evaluate datasets for coverage, quality, and freshness.
- Partner with AI and engineering teams to optimize ingestion, normalization, and enrichment.
- Ensure alignment with global privacy regulations (GDPR, CCPA, etc.) and Cyble’s internal governance frameworks.
Strategic Impact
- Translate raw external data into actionable threat intelligence that strengthens Cyble’s autonomous AI agents.
- Monitor ROI of external datasets and continuously refine sourcing strategy.
- Contribute to Cyble’s multi-year AI and intelligence strategy through data-driven insights.
- 7+ years of experience in data strategy, acquisition, or ecosystem partnerships .
- Strong understanding of data ecosystems (people, organizational, location, infrastructure).
- Proven ability to structure and negotiate strategic partnerships or vendor agreements .
- Familiarity with cyber threat intelligence, SaaS, or AI ecosystems .
- Deep knowledge of data governance, compliance, and privacy frameworks .
- Excellent technical, analytical, and communication skills with the ability to engage both executives and engineers.
- Lead the data backbone of one of the fastest-growing AI-native security platforms .
- Shape the intelligence ecosystem behind autonomous security agents .
- Collaborate with a global team at the forefront of cybersecurity and AI innovation .
- Competitive global compensation, benefits, and opportunities for leadership growth.
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Senior Data Strategy Manager (Remote)
Posted 1 day ago
Job Viewed
Job Description
Responsibilities:
- Develop and articulate a clear, long-term data strategy aligned with overall business objectives.
- Define data governance policies, standards, and processes to ensure data quality, security, privacy, and compliance.
- Identify opportunities for leveraging data analytics and AI/ML to create business value and competitive advantage.
- Oversee the implementation of data management platforms, data warehousing solutions, and business intelligence tools.
- Collaborate with stakeholders across various departments (e.g., Marketing, Sales, Product, Operations) to understand their data needs and translate them into technical requirements.
- Lead a team of data analysts, data scientists, and data engineers, providing guidance and fostering a data-driven culture.
- Establish frameworks for data cataloging, metadata management, and data lineage.
- Define metrics and KPIs to measure the effectiveness of the data strategy and its impact on business outcomes.
- Manage relationships with data technology vendors and partners.
- Stay abreast of emerging trends in data management, analytics, AI, and machine learning.
- Present data strategy initiatives and progress to executive leadership.
- Develop and implement data literacy programs across the organization.
- Master's or Ph.D. in Computer Science, Statistics, Data Science, Business Analytics, or a related quantitative field.
- A minimum of 10 years of experience in data management, data analytics, business intelligence, or data strategy roles, with at least 4 years in a leadership capacity.
- Proven track record of developing and successfully implementing enterprise-level data strategies.
- Deep understanding of data warehousing concepts, ETL/ELT processes, data modeling, and database technologies.
- Expertise in data governance, data quality management, and data security best practices.
- Strong knowledge of business intelligence tools (e.g., Tableau, Power BI) and analytics platforms.
- Experience with cloud data platforms (AWS, Azure, GCP) is essential.
- Familiarity with AI/ML concepts and their application in business.
- Exceptional strategic thinking, analytical, and problem-solving skills.
- Outstanding communication, presentation, and stakeholder management skills, crucial for a remote leadership role.
- Experience in managing and mentoring diverse technical teams.
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Senior Sports Performance Analyst - Remote Data & Strategy
Posted 1 day ago
Job Viewed
Job Description
Key Responsibilities:
- Collect, manage, and analyze performance data from various sources, including in-game statistics, training metrics, and biometric data.
- Develop and implement advanced statistical models to identify key performance indicators (KPIs) and trends.
- Provide data-driven insights and recommendations to coaches and athletes to optimize training and game strategies.
- Create comprehensive performance reports and visualizations for various stakeholders.
- Collaborate with coaching staff to set performance goals and monitor progress.
- Stay current with the latest advancements in sports science, performance analytics, and relevant technologies.
- Utilize specialized software and tools for data analysis and performance tracking.
- Assist in the development and implementation of talent identification and scouting processes.
- Educate coaches and athletes on the interpretation and application of performance data.
- Contribute to the continuous improvement of data collection and analysis methodologies.
- Manage and mentor junior performance analysts in a remote team setting.
Required Qualifications:
- Bachelor's degree in Sports Science, Exercise Physiology, Data Science, Statistics, or a related field. A Master's degree is highly preferred.
- Minimum of 6 years of experience in sports performance analysis or a similar role.
- Proven expertise in quantitative data analysis and statistical modeling.
- Proficiency with data analysis software (e.g., R, Python, SPSS, SQL).
- Experience with performance analysis tools and platforms specific to various sports.
- Strong understanding of biomechanics, physiology, and training principles.
- Excellent communication and presentation skills, with the ability to convey complex data to non-technical audiences remotely.
- Ability to work independently, manage time effectively, and meet deadlines in a remote environment.
- Passion for sports and a commitment to athlete development.
- Experience in a remote work setting is a strong advantage.
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Analyst - Data Science & Strategy
Posted 3 days ago
Job Viewed
Job Description
At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. As part of Team Amex, you'll experience this powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career.
Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express.
**Functional Description**
The Global Risk & Compliance Organization (GRC) is an independent risk management function, led by the Chief Risk Officer, with the objective of ensuring that American Express operates in a safe, sound, and fully compliant manner with all applicable regulatory expectations. GRC creates and maintains the overall risk management framework, performs independent risk management assessments, and monitors applicable risks.
The Enterprise Conduct Risk Management team within Global Risk and Compliance (GRC) is responsible for identifying and managing conduct risk across all processes and geographies at American Express.
We are seeking a highly motivated and analytical professional to join as a Analyst in Conduct Risk Management. The successful candidate will be responsible for identifying, measuring, monitoring, and reporting on conduct risks with advanced data analytics alongside providing independent oversight and challenge of conduct risks across the enterprise, with a focus on ensuring behaviors and processes align with regulatory expectations and our company's Risk Appetite.
This position offers exposure to enterprise-level risk management, frequent interaction with stakeholders across the business, and an opportunity to influence key decisions that promote sound risk culture and accountability.
**Key Responsibilities:**
* Perform data analytics on unstructured data to identify trends, composition, leading indicators, and outlook in conduct risk dimensions (Knowledge of NLP modeling techniques preferred)
* Use advanced AI-ML techniques to identify systemic issues discovered through various data channels, e.g. complaints, email communications, social media, Amex Ethics Hotline, Whistleblower report, and Colleague & Labor Relations cases
* Provide independent oversight of the first-line business activities to ensure conduct risks are appropriately identified, assessed, managed and reported
* Perform periodic scheduled reviews and sample-based testing to evaluate the adequacy and effectiveness of conduct risk management strategies and control mechanisms
* Identify issues, escalate key findings, and advise on recommended solutions to correct issues or mitigate risks within scheduled, triggered, and ongoing oversight activities.
**Minimum Qualifications**
**Academic Qualifications**
* Postgraduate (M.Tech / MBA / M. Stats / MA Economics)
**Experience Requirement**
* Prior experience in risk management and data analytics or similar domain will be preferred
**Technical Requirements**
* Prior experience working on Advanced AI-ML techniques including NLP techniques would be preferred
* Strong analytical skills, including a proven ability to translate complex and disparate information into a comprehensive and cohesive conclusion
**Behavioral Aspects**
* Demonstrated ability to apply thought leadership and strategic thinking to deliver initiatives to advance a programs' maturity and development
* Ability to Influence and help embed a strong risk-aware culture throughout the organization, encouraging proactive risk management behaviors at all levels
* Exceptional professional communication skills - clear, logical, and structured
* Devote significant attention to details, remain highly organized
* Strong sense of integrity and the ability and willingness to challenge (and be challenged)
* Impeccable integrity required for handling confidential information
This role is required to be on-site 3 days/week.
**Qualifications**
We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally:
+ Competitive base salaries
+ Bonus incentives
+ Support for financial-well-being and retirement
+ Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location)
+ Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need
+ Generous paid parental leave policies (depending on your location)
+ Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)
+ Free and confidential counseling support through our Healthy Minds program
+ Career development and training opportunities
American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law.
Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations.
**Job:** Risk
**Primary Location:** India-Haryana-Gurugram
**Schedule** Full-time
**Req ID:**
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Graduate Trainee - Data Analysis & Business Intelligence
Posted 1 day ago
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Job Description
Responsibilities:
- Assist in data collection, cleaning, and preparation for analysis.
- Perform descriptive and exploratory data analysis to identify trends and patterns.
- Support the development of reports and dashboards using business intelligence tools (e.g., Tableau, Power BI).
- Help in creating data visualizations to communicate findings effectively.
- Learn and apply statistical methods to analyze data.
- Collaborate with senior analysts and business stakeholders to understand data requirements.
- Participate in team meetings and contribute to project discussions.
- Develop an understanding of business processes and how data analytics can support them.
- Assist in testing and validating data models and reports.
- Gain exposure to various data analysis techniques and software.
- Recent graduate with a Bachelor's or Master's degree in Statistics, Mathematics, Economics, Computer Science, Data Science, or a related quantitative field.
- Strong understanding of statistical concepts and data analysis principles.
- Familiarity with data analysis tools and programming languages (e.g., Excel, SQL, Python, R) is a plus.
- Excellent analytical, critical thinking, and problem-solving abilities.
- Good communication and interpersonal skills.
- Eagerness to learn and a proactive attitude towards new challenges.
- Ability to work effectively in a team environment.
- Attention to detail and commitment to accuracy.
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