analyst-data analytics Jobs in Gurgaon India

analyst-data analytics

data analyst - people & culture Jobs in Gurgaon India

data analyst - people & culture

data analyst

Lenovo

<div>
 We are Lenovo. We do what we say. We own what we do. We WOW our customers.
 
 
 Lenovo is a US$69 billion revenue global technology powerhouse, ranked #196 in the Fortune Global 500, and serving millions of customers every day in 180 markets. Focused on a bold vision to deliver Smarter Technology for All, Lenovo has built on its success as the world&rsquo;s largest PC company with a full-stack portfolio of AI-enabled, AI-ready, and AI-optimized devices (PCs, workstations, smartphones, tablets), infrastructure (server, storage, edge, high performance computing and software defined infrastructure), software, solutions, and services. Lenovo&rsquo;s continued investment in world-changing innovation is building a more equitable, trustworthy, and smarter future for everyone, everywhere. Lenovo is listed on the Hong Kong stock exchange under Lenovo Group Limited (HKSE: 992) (ADR: LNVGY).
 
 
 This transformation together with Lenovo&rsquo;s world-changing innovation is building a more inclusive, trustworthy, and smarter future for everyone, everywhere. To find out more visit www.lenovo.com, and read about the latest news via our StoryHub.
 
 
 DATA ANALYST
 
 
 Lenovo is not just another technology company. We make the technology that powers the world&rsquo;s best ideas. We design tools for those who are driven by accomplishment. We are the company that powers the people who Do. The engine that helps them Do more. Do better. Do what&rsquo;s never been done. And we are united in the quest to help our users defy the impossible.
 
 
 We are looking for driven individuals who thrive in a truly global and culture&hellip; &hellip;..come put your career on the fast track with the fastest growing PC company in the world!!
 
 
 Lenovo&hellip;. For Those Who Do.
 
 
 Lenovo is seeking a Data Analyst to support the Internal Audit function.
 
 
 
 Primary Responsibilities
 
 
 
 This position will play a pivotal role in building and growing the data analytics capabilities in Internal Audit at Lenovo. The primary role of the Data Analyst is to identify, design and develop data analytics routines to support audit activities performed by the Internal Audit team. Maintain an effective system of data analytics and models which provide enhanced insight into risks and controls, establishes an efficient/automated means to analyze and test large volumes of data for outliers, anomalies, patterns, and trends, and helps evaluate the adequacy and effectiveness of controls. Create repeatable data analytics to support continuous audit monitoring programs.
 
 
 <ul>
 <li>
 Identify, design, and develop data analytics extract routines to support all phases of audit activities performed by the Internal Audit team, including risk assessment, planning, and scoping, testing and reporting.
 </li>
 <li>
 Manage data extraction, storage, transformation, and processing through data analytics routines, and generate output for visualization/analysis by the Internal Audit team.
 </li>
 <li>
 Identify and develop innovative and re-usable analytics solutions to drive auditor self-service.
 </li>
 <li>
 Use data analysis tools to automate audit testing and develop techniques for continuous auditing and analyzing large volumes of data.
 </li>
 <li>
 Interact with management and business partners to identify appropriate data sources and data elements required for analytics, applying professional skepticism when assessing data sources and validating the completeness and accuracy of data received.
 </li>
 <li>
 Transfer appropriate knowledge to the Data Champions and wider Internal Audit team in relation to data, systems, and data analytics queries
 </li>
 <li>
 Interact and collaborate with Internal Audit team members in working towards departmental goals.
 </li>
 <li>
 Execute on special projects and other assignments as requested by management.
 
 
 </li>
 </ul>
 
 Project Management
 
 
 
 Be exceptionally skilled at identifying, prioritizing, and articulating, applying effective methods of audit testing and data analysis. Work independently on all aspects of audit engagements. Prepare complete and meticulous audit work products consistently, including preparation of data sheets and work papers within standard time frames without reminders. Proactively reviews work products of others in area of responsibility, provides highly constructive critical feedback, and takes appropriate corrective actions. Maintain excellent relationship with clients and act in a professional manner. Independently develops and implements solutions to problems. Consistently seeks opportunities to support objectives through individual and team efforts.
 
 
 
 Communication Collaboration
 
 
 
 Regularly deals with managers/senior managers/executives within the organization. Communicates confidently in a clear, concise and articulate manner, providing relevant facts to the client, team leader, and management. Alert management when concerns arise. Offer recommendations or solutions to problems.
 
 
 
 Business Acumen
 
 
 
 Be accountable to contribute to projects involving multi-functional teams. May regularly participate in overall functional projects. Make leadership and review-related decisions promptly and effectively. Understand the business and complexities of the environment, appreciate the struggles of balancing resources and company priorities, and propose solutions based on cost/benefit analysis. Actively seeks opportunities to add value, insight and facilitate business collaborations.
 
 
 Contribution / Leadership
 
 
 Independently identify, plan, and execute projects. Assist team leaders to complete phases of an audit from planning and risk assessment to testing and communication of results to achieve audit objectives. Anticipates problems or changes in plans and reviews, and recommends appropriate solutions. Consistently takes personal responsibility for the success of mentored team members and others.
 
 
 
 Position Requirements
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in business, mathematics, computer science, or management information systems.
 </li>
 <li>
 3-5 years of relevant/recent data analysis experience in audit, financial, risk management, or technology functions.
 </li>
 <li>
 Strong quantitative, analytical, data-intuition, and problem-solving skills, and proficiency in data analytics techniques.
 </li>
 <li>
 Strong knowledge and proficiency in extraction and analysis of data from a wide variety of data sources, data analysis tools (PowerBI preferred), process mining, Alteryx/KNIME, SQL, visualization tools, R, python, etc.
 </li>
 <li>
 Preferred knowledge and experience in the manufacturing, high tech industries.
 </li>
 <li>
 Experience building and supporting continuous audit monitoring programs.
 </li>
 <li>
 Working knowledge of internal controls and auditing techniques.
 </li>
 <li>
 Strong communication and relationship building skills.
 </li>
 <li>
 Must be open to travel (upto 20%)
 </li>
 <li>
 Optional Certifications: CIA, CISA
 
 
 </li>
 </ul>
 
 We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, religion, sexual orientation, gender identity, national origin, status as a veteran, and basis of disability or any federal, state, or local protected class.
 
</div>

Data Analyst

Lenskart.com

<div>
 <ul>
 <li>
 Responsibilities:
 </li>
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 Oversee the dissemination of key program monitoring data, such as organizational dashboards, etc.
 </li>
 <li>
 Demonstrate leadership capacity to work within a team and draft deliverables effectively.
 </li>
 <li>
 Collaborate closely with Data Engineers to add necessary transformations for reports using technologies like DBT.
 </li>
 <li>
 Engage in MIS functions that require independent analysis of data.
 </li>
 <li>
 Create various internal reports, trackers, product mapping, end customer mapping, and team mapping.
 </li>
 <li>
 Support the development of database specifications using gathered information.
 </li>
 <li>
 Build and maintain BI tools, reports, and dashboards to support business needs.
 </li>
 <li>
 Conduct data quality audits and quality assurance assessments.
 </li>
 <li>
 Interpret data and analyze results using statistical techniques.
 </li>
 <li>
 Produce client-ready presentations with critical data points highlighted.
 </li>
 <li>
 Collaborate with team members to fulfill data analysis and reporting requirements.
 </li>
 <li>
 Develop and maintain customer insights dashboards based on understanding customer dynamics.
 </li>
 <li>
 Document business data sources for referencing in the development of data visualizations.
 </li>
 <li>
 Lead data summaries and aggregation for monthly and quarterly reporting requirements.
 </li>
 <li>
 Work on research projects, patents, and academic publications for conferences/journals.
 </li>
 <li>
 Requirements:
 </li>
 <li>
 Bachelors/Masters degree in Computer Science, Mathematics, or related fields.
 </li>
 <li>
 Proficient in data analysis and modern relational databases.
 </li>
 <li>
 Experience in working with SQL and NoSQL databases like PostgreSQL, MongoDB, etc.
 </li>
 <li>
 Strong interpersonal skills with exceptional communication abilities.
 </li>
 <li>
 Skilled in using data visualization tools such as Q
 </li>
 </ul>
</div>

NTT DATA North America

<div>
 
 Key Responsibilities:
 
 
 
 <ul>
 <li>
 Design, develop, and maintain Power BI dashboards and reports to support People &amp; Culture initiatives.
 </li>
 <li>
 Collaborate with stakeholders to understand business needs and translate them into analytical solutions.
 </li>
 <li>
 Extract, clean, and consolidate data from multiple systems (e.g., HRIS, S/Sheets, payroll, engagement platforms).
 </li>
 <li>
 Analyse trends and provide insights on key people metrics
 </li>
 <li>
 Ensure data accuracy and integrity, and work closely with P&amp;C and other business areas to ensure data accuracy.
 </li>
 <li>
 Communicate complex findings in a clear and actionable manner to both technical and non-technical audiences.
 </li>
 <li>
 Support ongoing improvements in data processes, systems, and reporting capabilities.
 </li>
 <li>
 Contribute to building a strong data-driven culture within the People &amp; Culture function.
 </li>
 <li>
 May act as project lead on local projects to work on HR system-related process improvements via project plans and schedules, including documentation of scope and requirements, and reporting of project status.
 
 
 </li>
 </ul>
 
 Key Requirements:
 
 
 
 <ul>
 <li>
 3+ years of experience in a Data Analyst role, ideally within an HR, People Analytics, or People Experience environment.
 </li>
 <li>
 Advanced Power BI skills &ndash; including DAX, data modelling, and report/dashboard development.
 </li>
 <li>
 Proven ability to work with large and complex datasets from various systems and sources.
 </li>
 <li>
 Strong analytical mindset with attention to detail and a passion for turning data into insights.
 </li>
 <li>
 Experience working in fast-paced, matrixed, or global organisations is highly desirable.
 </li>
 <li>
 Excellent communication skills with the ability to present data in a user-friendly and impactful way.
 </li>
 <li>
 Self-starter with the ability to work independently as part of a remote / offshore team.
 </li>
 <li>
 Strong project management skills
 
 
 </li>
 </ul>
 
 Preferences:
 
 
 
 <ul>
 <li>
 Prior experience of HR role supporting UK
 </li>
 <li>
 Prior experience of HR Master Data maintenance in SuccessFactors or SAP.
 </li>
 </ul>
</div>

Data Analyst - People & Culture

Google

<div>
 
 Minimum qualifications:
 
 
 
 <ul>
 <li>
 Bachelor's degree in a research or quantitative field or equivalent practical experience.
 </li>
 <li>
 7 years of experience designing, scoping, and executing research and analysis projects.
 </li>
 <li>
 7 years of experience translating business problems into research questions and translating research findings and insights into marketing recommendations.
 </li>
 <li>
 Experience managing research and measurement agencies.
 
 
 </li>
 </ul>
 
 Preferred qualifications:
 
 
 
 <ul>
 <li>
 10 years of experience as a marketing analyst using statistical techniques.
 </li>
 <li>
 5 years of experience with statistical modeling and advanced measurement/analysis techniques (e.g., regression analysis, geo-experimentation, brand/conversion lift measurement, machine learning algorithms).
 </li>
 <li>
 5 years of experience with leading a team and people management.
 </li>
 <li>
 Experience with data querying languages (e.g., SQL), tools to work with large complex data sets, and programming languages (e.g., Python) to run analysis.
 </li>
 <li>
 Experience in using data for storytelling and presenting complex research findings to both technical and non-technical audiences as well as using analytical insights to guide media planning.
 
 
 </li>
 </ul>
 
 About The Job
 
 
 
 Google's leadership team hand-picks thorny business challenges, and members of BizOps work in small teams to find solutions. As part of this team you fully immerse yourself in data collection, draw insight from analysis, and then zoom out to develop compelling, synthesized recommendations. Taking strategy one step further, you also persuasively communicate your recommendations to senior-level executives, roll-up your sleeves to help drive implementation and check back-in to see the impact of your recommendations.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Lead a team of individuals, set and communicate team priorities that support organizational goals. Set clear expectations with individuals based on their level and role, ensure alignment to the broader organization's goals. Meet regularly with individuals to discuss performance and development as well as provide feedback and coaching.
 </li>
 <li>
 Use your knowledge of data analytics to develop comprehensive strategies for marketing challenges, uncovering opportunities for measurement and optimization to drive incremental brand and performance growth.
 </li>
 <li>
 Lead marketing-wide opportunities such as evaluating, launching, and managing new tools, processes, and drive cross-functional collaboration.
 </li>
 <li>
 Build measurement plans and consolidate reporting metrics and benchmarks for the largest campaigns to understand the incremental impact of the marketing dollars.
 </li>
 <li>
 Analyze campaign results, report the media effectiveness across all stakeholder groups, and influence business decision-making through compelling use of data and impactful communication.
 
 
 
 </li>
 </ul>
 Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .
</div>

Senior Marketing Analyst Manager

Circles

<div>
 
 
 *The role is based in Gurgaon*
 
 
 
 &nbsp;
 
 
 
 About Us
 
 
 
 Founded in 2014, Circles is a global technology company reimagining the telco industry with its innovative SaaS platform, empowering telco operators worldwide to effortlessly launch innovative digital brands or refresh existing ones, accelerating their transformation into techcos.
 
 
 &nbsp;
 
 
 Today, Circles partners with leading telco operators across multiple countries and continents, including KDDI Corporation, Etisalat Group (e&amp;), AT&amp;T, and Telkomsel, creating blueprints for future telco and digital experiences enjoyed by millions of consumers globally.
 
 
 &nbsp;
 
 
 Besides its SaaS business, Circles operates three other distinct businesses:
 
 
 &nbsp;
 
 <ul>
 <li>
 Circles.Life: A wholly-owned digital lifestyle telco brand based in Singapore, Circles.Life is powered by Circles&rsquo; SaaS platform and pioneering go-to-market strategies. It is the digital market leader in Singapore and has won numerous awards for marketing, customer service, and innovative product offerings beyond connectivity.
 </li>
 </ul>
 
 &nbsp;
 
 <ul>
 <li>
 Circles Aspire: A global provider of Communications Platform-as-a-Service (CPaaS) solutions. Its cloud-based Experience Cloud platform enables enterprises, service providers and developers to deliver and scale mobile, messaging, IoT, and connectivity services worldwide.
 </li>
 </ul>
 
 &nbsp;
 
 <ul>
 <li>
 Jetpac: Specializing in travel tech solutions, Jetpac provides seamless eSIM roaming for over 200 destinations and innovative travel lifestyle products, redefining connectivity for digital travelers. Jetpac was awarded Travel eSIM of the Year.
 </li>
 </ul>
 
 &nbsp;
 
 
 Circles is backed by renowned global investors, including Peak XV Partners (formerly Sequoia), Warburg Pincus, Founders Fund, and EDBI (the investment arm of the Singapore Economic Development Board), with a track record of backing industry challengers.
 
 
 &nbsp;
 
 
 
 Job Overview
 
 
 
 We are seeking an experienced Data Associate to join our dynamic Jetpac team. The ideal candidate will have 2-5 years of experience in Data extraction, Analysis and Insight generation, with good understanding of emerging AI tools. In addition, the right candidate would have the spark and the flare needed for a young startup, and a desire to learn and grow.&nbsp;
 
 
 &nbsp;
 
 
 
 What You Will Do
 
 
 <ul>
 <li>
 Data extraction, analysis and insight generation&nbsp;
 </li>
 <li>
 Identify insights to drive business decisions
 </li>
 <li>
 Ensure data integrity, privacy and security
 </li>
 <li>
 Measure project performance
 </li>
 <li>
 Build relationships with stakeholders
 </li>
 <li>
 Act as liaison between business and tech teams
 </li>
 </ul>
 <ul>
 <li>
 Prepare reports and presentations on product updates and performance metrics
 </li>
 <li>
 Contribute to product documentation and training materials
 </li>
 <li>
 Monitor and report on users' reactions after launching
 </li>
 </ul>
 
 &nbsp;
 
 
 
 What We're Looking For&nbsp;
 
 
 <ul>
 <li>
 2-5 years of hands-on Data analyst/associate experience
 </li>
 <li>
 BS/BTech in Mathematics, Economics, Computer Science, Information Management, Statistics or similar field from a reputable university
 </li>
 <li>
 Strong analytical and problem-solving skills
 </li>
 <li>
 Excellent communication and stakeholder management abilities
 </li>
 <li>
 Knowledge in working with Data Visualisation tools (Looker, Metabase, Sisense, Tableau etc.)
 </li>
 <li>
 Strong experience in advanced SQL concepts and hands on experience with Snowflake. Plus, basic knowledge in Python
 </li>
 <li>
 Experience with data analysis and market research techniques.&nbsp;
 </li>
 <li>
 Ability to work effectively in a fast-paced, collaborative environment
 </li>
 </ul>
 
 &nbsp;
 
 
 
 Preferred Experience
 
 
 <ul>
 <li>
 A degree from the Indian Institutes of Technology (IIT) is highly preferred
 </li>
 <li>
 Experience working with AI-native products or technologies is also preferred
 </li>
 </ul>
 
 The ideal candidate will be results-oriented, detail-focused, and able to manage multiple priorities in a fast-paced environment. Person should be able to distill usable and actionable insights out of the complex data that they are analysing.
 
 
 &nbsp;
 
 
 
 What We Offer:
 
 
 <ol>
 <li>
 Competitive salary and excellent performance-based incentives.
 </li>
 <li>
 Comprehensive benefits package, including health, dental, and vision coverage.
 </li>
 <li>
 Flexible work arrangements with remote or hybrid options.
 </li>
 <li>
 Opportunity to work with a dynamic and innovative global team.
 </li>
 <li>
 Career growth and professional development opportunities
 </li>
 </ol>
 
 &nbsp;
 
 
 &nbsp;
 
 
 Circles is committed to a diverse and inclusive workplace. We are an equal opportunity employer and do not discriminate on the basis of race, national origin, gender, disability or age.
 
 
 &nbsp;
 
 
 
 
 Data Protection and Privacy Statement&nbsp;
 
 
 
 
 By submitting an application for this position, you, as the applicant, or your authorised representative(s), consent to Circles&rsquo; Candidate Data Protection and Privacy Policy. You also agree to the collection, use, and/or disclosure of your personal data by us solely for recruitment purposes as specified in the Policy. You acknowledge that you have read and understood the Policy, are aware of your rights regarding your personal data, and accept the terms relating to international data transfers, where applicable. You further understand that you may withdraw consent at any time, which may affect our ability to consider your application. In instances where your personal data or application is submitted by a third party, it is understood that such third party has been duly authorised by you to disclose the relevant personal data and provide consent on your behalf, and that you have been made aware of this Policy.
 
 
 &nbsp;
 
 
 To all recruitment agencies: Circles will only acknowledge resumes shared by recruitment agencies if selected in our preferred supplier partnership program.
 
 
 &nbsp;
 
 
 Please do not forward resumes to our jobs alias, Circles, employees or any other company location. Circles will not be held accountable for any fees related to unsolicited resumes not uploaded via our ATS.
 
 
 &nbsp;
 
</div>

Data Associate - Gurgaon

American Express

<div>
 
 
 
 You Lead the Way. We&rsquo;ve Got Your Back.
 
 
 
 
 
 
 With the right backing, people and businesses have the power to progress in incredible ways. When you join Team Amex, you become part of a global and diverse community of colleagues with an unwavering commitment to back our customers, communities and each other. Here, you&rsquo;ll learn and grow as we help you create a career journey that&rsquo;s unique and meaningful to you with benefits, programs, and flexibility that support you personally and professionally.
 
 
 
 
 
 At American Express, you&rsquo;ll be recognized for your contributions, leadership, and impact&mdash;every colleague has the opportunity to share in the company&rsquo;s success. Together, we&rsquo;ll win as a team, striving to uphold our
 
 
 company values
 
 
 and powerful backing promise to provide the world&rsquo;s best customer experience every day. And we&rsquo;ll do it with the utmost integrity, and in an environment where everyone is seen, heard and feels like they belong.
 
 
 
 
 
 Join Team Amex and let's lead the way together.
 
 
 
 
 
 The Enterprise Data Strategy team, in Credit and Fraud Risk Management is responsible for optimizing risk decisions through the lifecycle by identifying, testing, and integrating internal data with external data assets. The team manages strategic global relationships and data strategy for key third party data providers and contribution policy with external data partners (including credit bureaus) to support risk products in prospecting, new accounts, customer management, and collection practices. The team also serves as a critical channel for the exploration of new data opportunities for the firm.
 
 
 
 
 
 The incumbent would be part of the Enterprise Data Strategy team based in Gurgaon and reporting into Sr. Manager &ndash; International Commercial Data Strategy. The incumbent will be responsible for conducting detailed analysis on third-party vendor data to drive bureau/alternate data strategy,
 
 
 manage strategic Commercial data relationships and will partner closely with modeling, strategy, and risk product teams to drive innovative solutions and solve challenges.
 
 
 
 
 
 
 Analyst will be responsible for data analysis to challenge the status quo, identifying use cases for leveraging external data and will serve as a critical point for exploration of new data opportunities in Commercial.
 
 
 <ol>
 <li>
 
 
 Drive Commercial data strategy across the customer lifecycle through structured and risk-based principles.
 
 
 
 </li>
 <li>
 
 
 Explore traditional and alternative Commercial credit data/services.
 
 
 
 </li>
 <li>
 
 
 Be responsible for data mining, analytics, research, and capabilities development supporting regulated data (e.g. credit bureau information) and non-regulated data (e.g. aggregated or vertically compiled) to support Change Management, Operational Risk Events, and Strategic Decisions.
 
 
 
 </li>
 <li>
 
 
 Interacting and collaborating with partners across multiple lines of business including credit risk, fraud risk, market risk, capabilities, compliance, operations to develop, implement and optimize the Commercial data strategies including new third-party data vendor onboarding and existing products.
 
 
 
 </li>
 <li>
 
 
 Ensuring compliance with all regulatory requirements through robust risk policies
 
 
 
 </li>
 <li>
 
 
 Periodically review cases to identify modeling/strategy opportunities and improve customer experience.
 
 
 
 </li>
 <li>
 
 
 Evaluate new external data sources like Open banking, financials, credit bureau, Insurance, Firmographics, digital, etc. to improve risk models/strategies.
 
 
 
 </li>
 <li>
 
 
 Closely partner with external data vendors, internal capabilities, and internal Commercial risk teams to ingest new data sources for models/strategies.
 
 
 
 </li>
 <li>
 
 
 Drive profitability through advanced analytical techniques.
 
 
 
 </li>
 <li>
 
 
 Put enterprise thinking first, connect the role&rsquo;s agenda to enterprise priorities and balance the needs of customers, partners, colleagues &amp; shareholders.
 
 
 
 </li>
 <li>
 
 
 Lead with an external perspective, challenge the status quo and bring continuous innovation to our existing offerings.
 
 
 </li>
 
 
 
 
 
 <li>
 
 
 Demonstrate learning agility, make decisions quickly and with the highest level of integrity.
 
 
 
 </li>
 <li>
 
 
 Should possess strong analytical and problem-solving skills and a tremendous will to win.
 
 
 
 </li>
 <li>
 
 
 Strong relationship building, management and influencing skills.
 
 
 
 </li>
 <li>
 
 
 Exceptional verbal, written, and interpersonal communication skills.
 
 
 </li>
 </ol>
 
 
 
 
 
 
 How will you make an impact in this role?
 
 
 
 
 
 
 Responsible for conducting detailed analysis on third-party vendor data to drive the data strategy in New Accounts, Customer Management and Marketing models and strategy for International Commercial business.
 
 
 
 
 
 
 Minimum Qualifications
 
 
 
 <ul>
 <li>
 
 
 0 -3 years of experience in analytics/credit risk or related work experience
 
 
 
 </li>
 <li>
 
 
 Strong data handling and ability to apply statistical / quantitative techniques and methods to drive business results.
 
 
 
 </li>
 <li>
 
 
 Bachelor&rsquo;s / master&rsquo;s degree in a quantitative field (e.g., Finance, Engineering, Mathematics, Statistics, Computer Science or Economics) from a top tier institute
 
 
 
 </li>
 <li>
 
 
 Strong quantitative, analytical, project management and structured problem-solving skills with proficiency in Python, SQL, HIVE &amp; EXCEL
 
 
 
 </li>
 <li>
 
 
 Ability and willingness to work in a fast-paced environment and on aggressive timelines.
 
 
 
 </li>
 <li>
 
 
 Effective team player and be able to manage multiple projects.
 
 
 
 </li>
 <li>
 
 
 Excellent oral and written communication skills
 
 
 
 </li>
 <li>
 
 
 Experience in analyzing data, drawing inferences, and making recommendations.
 
 
 
 </li>
 <li>
 
 
 Strong relationship management and negotiation skills
 
 
 
 </li>
 <li>
 
 
 Understanding of credit card business economics
 
 
 
 </li>
 <li>
 
 
 Demonstrated ability to succeed in high performing teams.
 
 
 
 </li>
 <li>
 
 
 Ability to grasp business problems/identify business opportunities and provide modeling solutions to solve them.
 
 
 
 </li>
 <li>
 
 
 Demonstrated ability to drive innovation.
 
 
 
 </li>
 <li>
 
 
 Experience in handling/influencing senior leaders/partners across geographies is preferred.
 
 
 </li>
 </ul>
 
 
 
 
 
 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:
 
 <ul>
 <li>
 
 Competitive base salaries&nbsp;
 
 </li>
 <li>
 
 Bonus incentives&nbsp;
 
 </li>
 <li>
 
 Support for financial-well-being and retirement&nbsp;
 
 </li>
 <li>
 
 Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location)&nbsp;
 
 </li>
 <li>
 
 Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need&nbsp;
 
 </li>
 <li>
 
 Generous paid parental leave policies (depending on your location)&nbsp;
 
 </li>
 <li>
 
 Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)&nbsp;
 
 </li>
 <li>
 
 Free and confidential counseling support through our Healthy Minds program&nbsp;
 
 </li>
 <li>
 
 Career development and training opportunities
 
 
 </li>
 </ul>
 
 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. &nbsp;
 
 
 
 
 Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations.
 
</div>

Analyst-Risk Management

<div>
 
 
 
 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.
 
 
 
 
 Key Responsibilities:
 
 
 
 <ul>
 <li>
 
 Driving end-to-end pricing governance for the exception approval process, ensuring transparency, compliance, and alignment with business policies.
 
 </li>
 <li>
 
 Supporting Data Governance by doing data quality assessment and assisting with compliance implementation.
 
 </li>
 <li>
 
 Managing existing reporting and automation for Client Incentives by maintaining data integrity, optimizing workflows, and implementing enhancements.
 
 </li>
 <li>
 
 Develop and support end-to-end Pricing to Payment initiatives on GCP, ensuring scalable, secure, and optimized data workflows that enable efficient business operations.
 
 </li>
 </ul>
 
 
 
 Minimum Qualifications
 
 
 
 <ul>
 <li>
 
 Academic Background: Bachelor&rsquo;s degree or master&rsquo;s degree from a Tier -1 Institute.
 
 </li>
 <li>
 
 Past Experience: Minimum of 3 year of relevant work experience.
 
 </li>
 <li>
 
 Experience in handling large scale governance projects.
 
 </li>
 <li>
 
 Development Experience in any technology is highly desirable like Python etc.
 
 </li>
 <li>
 
 Strong knowledge of Python, PySpark, SQL, Hive-QL, Unix, Shell Scripting, Excel.
 
 </li>
 <li>
 
 Proficient with RDBMS Concepts, Big Data Concepts (HIVE, HDFS), SDLC Project.
 
 </li>
 <li>
 
 Working experience in building sql capabilities on big data platforms like GCP .
 
 </li>
 <li>
 
 Methodologies, and ability to interpret requirements, build testable test cases, validate and interpret results.
 
 </li>
 <li>
 
 Familiarity with ETL/ELT pipelines and data transformation concepts.
 
 </li>
 </ul>
 
 
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 
 Experience in Business Intelligence tools like Tableau, PowerBI is desirable.
 
 
 </li>
 </ul>
 
 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:
 
 <ul>
 <li>
 
 Competitive base salaries
 
 </li>
 <li>
 
 Bonus incentives
 
 </li>
 <li>
 
 Support for financial-well-being and retirement
 
 </li>
 <li>
 
 Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location)
 
 </li>
 <li>
 
 Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need
 
 </li>
 <li>
 
 Generous paid parental leave policies (depending on your location)
 
 </li>
 <li>
 
 Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)
 
 </li>
 <li>
 
 Free and confidential counseling support through our Healthy Minds program
 
 </li>
 <li>
 
 Career development and training opportunities
 
 
 </li>
 </ul>
 
 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.
 
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Analyst-Data Analytics

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