analytics consultant

Abacus

<div>
 Consultant &ndash; Talent Analytics
 
 
 
 Human Capital Solutions | Abacus
 
 
 
 As a Consultant within the Talent Analytics Team, you will play a key role in delivering high-quality Compensation &amp; Benefits solutions to a diverse portfolio of local and multinational clients across multiple industries. This role offers hands-on exposure to end-to-end rewards projects, market benchmarking, pay structure design, and HR analytics initiatives.
 
 
 You will collaborate closely with internal teams and client stakeholders to support data-driven decision-making and contribute to impactful human capital strategies.
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Support the execution of Compensation &amp; Benefits and Rewards projects
 </li>
 <li>
 Conduct salary benchmarking and market analysis
 </li>
 <li>
 Assist in pay structure design, job evaluation, and grading exercises
 </li>
 <li>
 Analyze payroll and HR data to generate actionable insights
 </li>
 <li>
 Prepare client presentations, reports, and dashboards
 </li>
 <li>
 Ensure timely delivery of project milestones within tight deadlines
 
 
 
 </li>
 </ul>
 Candidate Profile
 
 
 
 Experience
 
 
 
 <ul>
 <li>
 Approximately 2 years of relevant experience in Compensation &amp; Benefits, Rewards, Payroll, or broader HR functions
 
 
 
 </li>
 </ul>
 
 Education
 
 
 
 <ul>
 <li>
 MBA (HRM) or Masters degree from a reputable university, preferably with a major in Human Resources
 
 
 
 </li>
 </ul>
 Required Competencies
 
 
 <ul>
 <li>
 Strong analytical and problem-solving skills
 </li>
 <li>
 Proficiency in Microsoft Office, particularly Excel and PowerPoint
 </li>
 <li>
 Excellent written and verbal communication skills
 </li>
 <li>
 Ability to manage multiple priorities and work under tight timelines
 </li>
 <li>
 Positive attitude with a strong willingness to learn
 </li>
 <li>
 Team-oriented mindset with strong interpersonal skills
 </li>
 <li>
 High level of commitment and drive for excellence
 
 </li>
 </ul>
</div>

Talent Analytics Consultant

Wells Fargo

<div>About Wells Fargo 
Wells Fargo &amp; Company (NYSE: WFC) is a diversified, community-based financial services company with $2.0 trillion in assets. Founded in 1852 and headquartered in San Francisco, Wells Fargo provides banking, insurance, investments, mortgage, and consumer and commercial finance through more than 8,500 locations, 13,000 ATMs, the internet (wellsfargo.com) and mobile banking, and has offices in 42 countries and territories to support customers who conduct business in the global economy. With approximately 273,000 team members, Wells Fargo serves one in three households in the United States. Wells Fargo &amp; Company was ranked No. 25 on Fortune's 2017 rankings of America's largest corporations. Wells Fargo's vision is to satisfy our customers' financial needs and help them succeed financially. News, insights and perspectives from Wells Fargo are also available at Wells Fargo Stories . 
 
About Wells Fargo India 
Wells Fargo India enables global talent capabilities for Wells Fargo Bank NA., by supporting business lines and staff functions across Technology, Operations, Risk, Audit, Process Excellence, Automation and Product, Analytics and Modeling. We are operating in Hyderabad, Bengaluru and Chennai locations. 
 
Department Overview 
 
Product, Analytics and Modeling (PAM) brings a team member-based approach to the international talent pool focusing on analytical requirements. PAM encompasses roles that deliver meaningful insights, analysis and reporting based on skills, experience and judgment to support the Enterprise Analytics and Data Science (EADS) organization operate successfully today, and continue on the right trajectory to operate successfully in the future. 
 
About the Role 
 
Analytic Consultant/Data Scientist is a partner-facing role and is responsible for delivering high impact analytic and data science projects by using analytics, in support of operational risk initiatives across Chief Operating Office org. 
AIM (AI Innovation and Modeling) is the central analytics group tasked with solving high-impact business challenges and standing up cutting-edge analytical capabilities to be shared across Wells Fargo's analytic community.
 
We are looking for a high performer to join our team and help us solve challenging and interesting business problems through rigorous data analysis and predictive modeling. In this highly consultative and visible role, you will support development analytic projects from multiple business lines using various technology and techniques ranging from but not limited to supervised, unsupervised and semi-supervised machine learning, deep-learning, NLP, optimization algorithms in both edge nodes and in big data environments (like hortonworks, MapR, Aster etc.) 
 
Responsibilities:<ul><li>
Person would be required to work individually or as part of a team on data science projects and work closely with business partners across the organization.</li><li>
Person will be leading small group of junior data scientists and work as a technical lead to support enterprise grade Gen AI programs</li><li>
He/she would be developing statistical/machine learning/GenAI models using various techniques (supervised, unsupervised, semi-supervised) and technologies including but not limited to SAS, R, Python, Spark, H2O, Aster etc.</li><li>
Work closely with data engineers, BI and UI specialists and deliver top notch analytical solution for the bank.</li><li>
Define business problem and translate it into analytical problem.</li></ul>
Essential Qualifications:<ul><li>
8+ years of experience in the field of data science and analytics with hands on working knowledge in related tools and technologies.</li><li>
Deep working knowledge of machine learning and deep learning, including model selection, training dynamics, overfitting, and evaluation tradeoffs.</li><li>
Practical mastery of prompt engineering and LLM behavior control, including structured prompting, chain-of-thought, robustness, and security considerations.</li><li>
Ability to design and optimize Retrieval-Augmented Generation (RAG) systems using embeddings, vector databases, chunking, and reranking techniques.</li><li>
Experience with model evaluation, monitoring, and Responsible AI, including bias, hallucination mitigation, governance, and human-in-the-loop validation.</li><li>
Strong MLOps/LLMOps capabilities, covering model lifecycle management, experiment tracking, deployment, cost control, and latency optimization.</li><li>
Proficiency in Python-based data science and software engineering, with experience integrating GenAI into scalable, production-grade systems.</li><li>
Exploratory Data analysis
<ul><li>Provide exploratory data analysis using Python/R/SAS / SQL</li><li>
Experience with Databases like oracle , Teradata, Sql server</li><li>
Advance Excel skills</li><li>
Data integration and clean up data for the usage</li><li>
Experience with structured data and semi-structured text or Excel files</li></ul></li></ul><ul><li>
Business Intelligence
<ul><li>Tableau, Power BI, Shiny, Dash, HTML5</li></ul></li><li>
Business Analytics
<ul><li>Data mining and Insights</li><li>
Trend Analysis , forecasting and pattern recognition</li><li>
Find opportunities in the data and able to communicate to the partners</li><li>
Consult with partners to define issues/information needs</li><li>
Present findings to multiple levels of management</li><li>
Ensure that analyses are delivered on time, while surpassing partner expectations</li><li>
Ensure partner transparency throughout the life of the project</li><li>
Proactively seek opportunities to increase the value of analysis</li><li>
Strong oral and written communication and consultative skills</li></ul></li></ul>
Desired Qualifications:<ul><li>
Strong collaboration skills</li><li>
Output deployment using appropriate technologies (HTML5, Shiny, Django)</li><li>
Working expertise in Tensorflow, Keras or Pytorch would be added advantage</li><li>
Ability to translate analytical data into useful business information</li><li>
Critical thinking and strong problem solving skills</li><li>
Ability to learn the business aspects quickly</li><li>
knowledge of banking industry and products in at least one of the LOB such as credit cards, mortgage, deposits, loans or wealth management etc.</li><li>
Knowledge of functional area such as risk, marketing, operations or supply chain in banking industry.</li><li>
Ability to multi-task and prioritize between projects
</li><li>Ability to work independently and as part of a team
</li></ul>Posting End Date:
 
31 Mar 2026 
*Job posting may come down early due to volume of applicants.
 
 
We Value Equal Opportunity 
 
Wells Fargo is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other legally protected characteristic. 
 
Employees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture which firmly establishes those disciplines as critical to the success of our customers and company. They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions. There is emphasis on proactive monitoring, governance, risk identification and escalation, as well as making sound risk decisions commensurate with the business unit's risk appetite and all risk and compliance program requirements. 
 
Candidates applying to job openings posted in Canada: Applications for employment are encouraged from all qualified candidates, including women, persons with disabilities, aboriginal peoples and visible minorities. Accommodation for applicants with disabilities is available upon request in connection with the recruitment process. 
 
Applicants with Disabilities 
 
To request a medical accommodation during the application or interview process, visit Disability Inclusion at Wells Fargo . 
 
Drug and Alcohol Policy 
 
Wells Fargo maintains a drug free workplace. Please see our Drug and Alcohol Policy to learn more. 
 
Wells Fargo Recruitment and Hiring Requirements: 
 
a. Third-Party recordings are prohibited unless authorized by Wells Fargo. 
 
b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.</div>

Lead Quantitative Analytics Consultant - NLP / GenAI

ProClink

<div><div>Job Title: Credit Risk Consultant (Data Analytics)</div><div>
Experience: Minimum 5+ years of relevant experience in credit risk analytics, preferably within lending.</div><div></div><div>
About the Role</div><div>
We are looking for an experienced Credit Risk Consultant to join our analytics team and work closely with clients across the customer lifecycle. This role sits at the intersection of business, risk, and data, requiring strong functional expertise, hands-on technical skills, and the ability to translate analytics into actionable business insights.</div><div>
-</div><div>
Key Responsibilities</div><ul><li>Act as a subject-matter expert for risk analytics, underwriting, and portfolio management.</li><li>Partner with clients to understand business objectives and translate them into analytics-driven credit risk solutions.</li><li>Design, review, and enhance credit risk strategies including:</li></ul><div>
o Acquisition &amp; underwriting</div><div>
o Credit line assignment and management</div><div>
o Pricing and risk-based segmentation</div><ul><li>Analyze large datasets to identify trends, risks, and opportunities, and communicate insights clearly to both technical and non-technical stakeholders.</li><li>Support model performance monitoring, validation, and ongoing optimization.</li><li>Collaborate with data scientists, engineers, and business teams to ensure end-to-end delivery of analytics solutions.</li><li>Create clear documentation, presentations, and client-ready materials.</li></ul><div></div><div>
Required Skills &amp; Qualifications</div><div>
1. Functional Knowledge</div><ul><li>Strong understanding of credit risk management concepts and frameworks.</li><li>Hands-on experience with underwriting, risk policy, and portfolio analytics.</li><li>Knowledge of key risk metrics such as approval rates, delinquency, roll rates, charge-offs, and vintage analysis.</li></ul><div>
2. Business Understanding</div><ul><li>Deep understanding of how lending products work in the analytics ecosystem, including customer lifecycle, profitability drivers, and risk-reward trade-offs.</li><li>Experience working with credit bureau data, transaction data, and customer behavior data.</li><li>Ability to align risk strategies with business growth, customer experience, and regulatory considerations.</li></ul><div>
3. Technical Skills</div><ul><li>Strong proficiency in SQL for data extraction and analysis.</li><li>Experience with Python, R, or SAS for analytics and modeling.</li><li>Comfortable working with large datasets and analytics platforms.</li><li>Experience with dashboards or visualization tools (e.g., Power BI, Tableau) is a plus.</li></ul><div>
4. Communication &amp; Consulting Skills</div><ul><li>Excellent verbal and written communication skills.</li><li>Ability to explain complex analytical concepts in a simple, business-friendly manner.</li><li>Proven experience working in client-facing or stakeholder-heavy environments.</li><li>Strong presentation and storytelling skills using data.</li></ul><div>
5. Willingness to work in US time shift</div><div>
Nice to Have</div><ul><li>Experience in data analytics, consulting, or fintech environment.</li><li>Exposure to regulatory frameworks related to consumer credit.</li><li>Prior experience working with global or large-scale lending portfolios.</li></ul><div>
-</div><div>
What We Offer</div><ul><li>Opportunity to work on high-impact analytics problems.</li><li>Exposure to leading financial institutions and innovative analytics solutions.</li><li>Collaborative, data-driven culture with strong learning opportunities.</li><li>Competitive compensation and growth potential.</li></ul></div>

Credit Risk Consultant

Mastercard

<div>
 
 Our Purpose
 
 
 
 
 Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we&rsquo;re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential.
 
 
 
 
 Title And Summary
 
 
 
 Consultant-2
 
 
 Consultant &ndash; Performance Analytics
 
 
 Advisors &amp; Consulting Services
 
 
 Services within Mastercard is responsible for acquiring, engaging, and retaining customers by managing fraud and risk, enhancing cybersecurity, and improving the digital payments experience. We provide value-added services and leverage expertise, data-driven insights, and execution. Our Advisors &amp; Consulting Services team combines traditional management consulting with Mastercard&rsquo;s rich data assets, proprietary platforms, and technologies to provide clients with powerful strategic insights and recommendations. Our teams work with a diverse global customer base across industries, from banking and payments to retail and restaurants.
 
 
 The Advisors &amp; Consulting Services group has five specializations: Strategy &amp; Transformation, Performance Analytics, Business Experimentation, Marketing, and Program Management. Our Performance Analytics consultants translate data into insights by leveraging Mastercard and customer data to design, implement, and scale analytical solutions for customers. They use qualitative and quantitative analytical techniques and enterprise applications to synthesize analyses into clear recommendations and impactful narratives.
 
 
 Positions for different specializations and levels are available in separate job postings. Please review our consulting specializations to learn more about all opportunities and apply for the position that is best suited to your background and experience: https://careers.mastercard.com/us/en/consulting-specializations-at-mastercard
 
 
 Roles and Responsibilities
 
 
 Client Impact
 
 
 <ul>
 <li>
 Provide creative input on projects across a range of industries and problem statements
 </li>
 <li>
 Contribute to the development of analytics strategies and programs for regional and global clients by leveraging data and technology solutions to unlock client value
 </li>
 <li>
 Collaborate with Mastercard team to understand clients&rsquo; needs, agenda, and risks
 </li>
 <li>
 Develop working relationship with client analysts/managers, and act as trusted and reliable partner
 
 
 
 </li>
 </ul>
 Team Collaboration &amp; Culture
 
 
 <ul>
 <li>
 Collaborate with senior project delivery consultants to identify key findings, prepare effective presentations, and deliver recommendations to clients
 </li>
 <li>
 Independently identify trends, patterns, issues, and anomalies in defined area of analysis, and structure and synthesize own analysis to highlight relevant findings
 </li>
 <li>
 Lead internal and client meetings, and contribute to project management
 </li>
 <li>
 Contribute to the firm's intellectual capital
 </li>
 <li>
 Receive mentorship from performance analytics leaders for professional growth and development
 
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 Basic qualifications
 
 
 <ul>
 <li>
 Undergraduate degree with data and analytics experience in business intelligence and/or descriptive, predictive, or prescriptive analytics
 </li>
 <li>
 Experience managing clients or internal stakeholders
 </li>
 <li>
 Ability to analyze large datasets and synthesize key findings
 </li>
 <li>
 Proficiency using data analytics software (e.g., Python, R, SQL, SAS)
 </li>
 <li>
 Advanced Word, Excel, and PowerPoint skills
 </li>
 <li>
 Ability to perform multiple tasks with multiple clients in a fast-paced, deadline-driven environment
 </li>
 <li>
 Ability to communicate effectively in English and the local office language (if applicable)
 </li>
 <li>
 Eligibility to work in the country where you are applying, as well as apply for travel visas as required by travel needs
 
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Additional data and analytics experience in building, managing, and maintaining database structures, working with data visualization tools (e.g., Tableau, Power BI), or working with Hadoop framework and coding using Impala, Hive, or PySpark
 </li>
 <li>
 Ability to analyze large datasets and synthesize key findings to provide recommendations via descriptive analytics and business intelligence
 </li>
 <li>
 Experience managing tasks or workstreams in a collaborative team environment
 </li>
 <li>
 Ability to identify problems, brainstorm and analyze answers, and implement the best solutions
 </li>
 <li>
 Relevant industry expertise
 
 
 
 </li>
 </ul>
 
 Corporate Security Responsibility
 
 
 
 All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:
 
 
 <ul>
 <li>
 Abide by Mastercard&rsquo;s security policies and practices;
 </li>
 <li>
 Ensure the confidentiality and integrity of the information being accessed;
 </li>
 <li>
 Report any suspected information security violation or breach, and
 </li>
 <li>
 Complete all periodic mandatory security trainings in accordance with Mastercard&rsquo;s guidelines.
 </li>
 </ul>
</div>

Consultant-2

<div>Our Purpose
Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we&rsquo;re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential.
Title and Summary
Managing Consultant &ndash; Performance Analytics
Services within Mastercard is responsible for acquiring, engaging, and retaining customers by managing fraud and risk, enhancing cybersecurity, and improving the digital payments experience. We provide value-added services and leverage expertise, data-driven insights, and execution. Our Advisors &amp; Consulting Services team combines traditional management consulting with Mastercard&rsquo;s rich data assets, proprietary platforms, and technologies to provide clients with powerful strategic insights and recommendations. Our teams work with a diverse global customer base across industries, from banking and payments to retail and restaurants. 
 
The Advisors &amp; Consulting Services group has five specializations: Strategy &amp; Transformation, Performance Analytics, Business Experimentation, Marketing, and Program Management. Our Performance Analytics consultants translate data into insights by leveraging Mastercard and customer data to design, implement, and scale analytical solutions for customers. They use qualitative and quantitative analytical techniques and enterprise applications to synthesize analyses into clear recommendations and impactful narratives. 
 
Positions for different specializations and levels are available in separate job postings. Please review our consulting specializations to learn more about all opportunities and apply for the position that is best suited to your background and experience: https://careers.mastercard.com/us/en/consulting-specializations-at-mastercard 
 
Roles and Responsibilities 
 
We are seeking an experienced Analytics Manager with strong consulting and problem-solving skills. This is not a &ldquo;back-office&rdquo; analytics role &ndash; we need someone who can partner with business leaders, identify opportunities, and deliver end-to-end analytics use cases that drive measurable impact. 
 
Client Impact 
<ul><li>Lead client engagements across a range of industries and problem statements</li><li>Develop analytics strategies and programs for large, regional, and global clients by leveraging data and technology solutions to unlock client value</li><li>Own key relationships with mid-level to senior client stakeholders and independently assess client agenda, internal culture, and change readiness</li></ul> 
Team Collaboration &amp; Culture 
<ul><li>Lead team to creative insights and sound business recommendations, and deliver impactful client presentations while growing team members&rsquo; roles and skills</li><li>Provide analytical and day-to-day project delivery team leadership, and create a collaborative and inclusive environment for all levels</li><li>Collaborate with internal Mastercard stakeholders including Product and Business Development to scope projects, create relevant solutions for clients, and build the firm's intellectual capital</li><li>Provide on-the-job training, coaching, and mentorship to junior consultants</li></ul> 
Qualifications 
 
Basic qualifications 
<ul><li>Undergraduate degree with data and analytics experience in business intelligence and/or descriptive, predictive, or prescriptive analytics</li><li>Experience coaching and managing teams across multiple projects</li><li>Experience managing key client relationships</li><li>Knowledge of business KPIs, financials and organizational leadership</li><li>Ability to identify new business development opportunities, and experience drafting proposals and scoping new opportunities</li><li>Analytical, interpretive, and problem-solving skills, including the proven ability to analyze large amounts of data and synthesize key findings and recommendations</li><li>Data and analytics experience such as working with data analytics software (e.g., Python, R, SQL, SAS), building, managing, and maintaining database structures, working with data visualization tools (e.g., Tableau, Power BI)</li><li>Advanced Word, Excel, and PowerPoint skills</li><li>Ability to manage multiple tasks and clients in a fast-paced, deadline-driven environment</li><li>Ability to communicate effectively in English and the local office language (if applicable)</li><li>Eligibility to work in the country where you are applying, as well as apply for travel visas as required by travel needs</li><li>Ability to travel to client sites on a semi-regular basis</li></ul> 
Preferred qualifications 
<ul><li>Additional data and analytics experience in Hadoop framework and coding using Impala, Hive, or PySpark</li><li>Experience generating new knowledge or creating innovative solutions for a firm</li><li>Relevant industry expertise</li><li>Master&rsquo;s degree with relevant specialization such as advanced analytics, big data, or mathematical discipline (not required)</li></ul>
Corporate Security Responsibility 
All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:<ul><li>
Abide by Mastercard&rsquo;s security policies and practices;</li><li>
Ensure the confidentiality and integrity of the information being accessed;</li><li>
Report any suspected information security violation or breach, and</li><li>
Complete all periodic mandatory security trainings in accordance with Mastercard&rsquo;s guidelines.</li></ul></div>

Managing Consultant – Performance Analytics

<div>Our Purpose
Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we&rsquo;re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential.
Title and Summary
Associate Managing Consultant, Performance Analytics - Advisors &amp; Consulting Services
Associate Managing Consultant &ndash; Performance Analytics 
 
Advisors &amp; Consulting Services 
 
Services within Mastercard is responsible for acquiring, engaging, and retaining customers by managing fraud and risk, enhancing cybersecurity, and improving the digital payments experience. We provide value-added services and leverage expertise, data-driven insights, and execution. Our Advisors &amp; Consulting Services team combines traditional management consulting with Mastercard&rsquo;s rich data assets, proprietary platforms, and technologies to provide clients with powerful strategic insights and recommendations. Our teams work with a diverse global customer base across industries, from banking and payments to retail and restaurants. 
 
The Advisors &amp; Consulting Services group has five specializations: Strategy &amp; Transformation, Performance Analytics, Business Experimentation, Marketing, and Program Management. Our Performance Analytics consultants translate data into insights by leveraging Mastercard and customer data to design, implement, and scale analytical solutions for customers. They use qualitative and quantitative analytical techniques and enterprise applications to synthesize analyses into clear recommendations and impactful narratives. 
 
Positions for different specializations and levels are available in separate job postings. Please review our consulting specializations to learn more about all opportunities and apply for the position that is best suited to your background and experience: https://careers.mastercard.com/us/en/consulting-specializations-at-mastercard 
 
Roles and Responsibilities 
 
Client Impact 
<ul><li>Manage deliverable development and workstreams on projects across a range of industries and problem statements</li><li>Contribute to and/or develop analytics strategies and programs for large, regional, and global clients by leveraging data and technology solutions to unlock client value</li><li>Manage working relationship with client managers, and act as trusted and reliable partner</li><li>Create predictive models using segmentation and regression techniques to drive profits</li><li>Review analytics end-products to ensure accuracy, quality and timeliness.</li><li>Proactively seek new knowledge and structures project work to facilitate the capture of Intellectual Capital with minimal oversight</li></ul> 
Team Collaboration &amp; Culture 
<ul><li>Develop sound business recommendations and deliver effective client presentations</li><li>Plan, organize, and structure own work and that of junior project delivery consultants to identify effective analysis structures to address client problems and synthesize analyses into relevant findings</li><li>Lead team and external meetings, and lead or co-lead project management</li><li>Contribute to the firm's intellectual capital and solution development</li><li>Grow from coaching to enable ownership of day-to-day project management across client projects, and mentor junior consultants</li><li>Develop effective working relationships with local and global teams including business partners</li></ul> 
Qualifications 
 
Basic qualifications 
<ul><li>Undergraduate degree with data and analytics experience in business intelligence and/or descriptive, predictive, or prescriptive analytics</li><li>Experience managing clients or internal stakeholders</li><li>Ability to analyze large datasets and synthesize key findings to provide recommendations via descriptive analytics and business intelligence</li><li>Knowledge of metrics, measurements, and benchmarking to complex and demanding solutions across multiple industry verticals</li><li>Data and analytics experience such as working with data analytics software (e.g., Python, R, SQL, SAS) and building, managing, and maintaining database structures</li><li>Advanced Word, Excel, and PowerPoint skills</li><li>Ability to perform multiple tasks with multiple clients in a fast-paced, deadline-driven environment</li><li>Ability to communicate effectively in English and the local office language (if applicable)</li><li>Eligibility to work in the country where you are applying, as well as apply for travel visas as required by travel needs</li></ul> 
Preferred qualifications 
<ul><li>Additional data and analytics experience working with Hadoop framework and coding using Impala, Hive, or PySpark or working with data visualization tools (e.g., Tableau, Power BI)</li><li>Experience managing tasks or workstreams in a collaborative team environment</li><li>Experience coaching junior delivery consultants</li><li>Relevant industry expertise</li><li>MBA or master&rsquo;s degree with relevant specialization (not required)</li></ul>
Corporate Security Responsibility 
All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:<ul><li>
Abide by Mastercard&rsquo;s security policies and practices;</li><li>
Ensure the confidentiality and integrity of the information being accessed;</li><li>
Report any suspected information security violation or breach, and</li><li>
Complete all periodic mandatory security trainings in accordance with Mastercard&rsquo;s guidelines.</li></ul></div>

Associate Managing Consultant, Performance Analytics - Advisors & Consulting Services

<div>Our Purpose
Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we&rsquo;re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential.
Title and Summary
Consultant, Advisors &amp; Consulting Services, Performance Analytics
Who is Mastercard? 
 
Mastercard is a global technology company in the payments industry. Our mission is to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart, and accessible. Using secure data and networks, partnerships and passion, our innovations and solutions help individuals, financial institutions, governments, and businesses realize their greatest potential. 
 
Our decency quotient, or DQ, drives our culture and everything we do inside and outside of our company. With connections across more than 210 countries and territories, we are building a sustainable world that unlocks priceless possibilities for all. 
 
Overview 
 
MasterCard Advisors is helping to shape the future of data insights by leveraging billions of anonymized, aggregated transactions in a 10 petabyte data warehouse to help financial institutions, merchants, media, and governments manage their businesses more effectively. 
Advanced Analytics is charged with servicing clients by centralizing and optimizing the world-class analytical, modeling, software coding, data sourcing, product development, product management, econometrics, and associated delivery capabilities of the MasterCard Advisors organization. 
Use broad Banking, Retail, Travel, Technology, Digital, media, and/or payments industry experience and deep knowledge of the application of big data quantitative analytics to provide hands-on support for information product development and custom analytical project delivery that satisfies and retains a global client base. 
 
Role 
 
Work closely with Data &amp; Services Advanced Analytics teams and external clients around the world to architect, develop, and maintain advanced reporting and data visualization capabilities on large volumes of data in order to support consulting projects, model development, model scoring, and campaign measurement. 
<ul><li>Translate business requirements into tangible solution specifications and high quality, on-time deliverables.</li><li>Partner with different stakeholders and execute proof of concepts to assess the value of solutions.</li><li>Work with and lead team members working on a project.</li><li>Analyze large volumes of transactional data to generate insights and actionable recommendations to drive business growth.</li><li>Automate data analysis and insight generation.</li><li>Develop a detailed understanding of the Core objectives and strategies and how automation and machine learning can support each effort.</li><li>Develop innovative and modern machine learning solutions.</li><li>Passion for knowing for emerging trends and identifying relevant opportunities.</li><li>Demonstrate the ability to think strategically about business, product, and technical challenges</li><li>Apply quality control, data validation, and cleansing processes to new and existing data sources.</li><li>Support User Acceptance Testing for production applications; comply with all MasterCard internal policies and external regulations</li><li>Support a high-performance workplace</li></ul> 
All About You 
 
<ul><li>B.Tech. / Advanced degree in Engineering, or Mathematics. M.S. preferred.</li><li>Experience in managing Clients, hands-on business analysis, segmentation and modelling, Advanced Analytical frameworks for solving business problems</li><li>Experience of working with a large volume of data.</li><li>Strong Hadoop, SQL, Python, PySpark, MS-Excel, and PowerPoint skills.</li><li>Excellent verbal and written communication skills</li><li>Excellent analytical skills and attention to details</li><li>Ability to work on a team or independently</li><li>Ability to multi-task in a fast-paced, deadline-driven environment</li></ul>
Corporate Security Responsibility 
All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:<ul><li>
Abide by Mastercard&rsquo;s security policies and practices;</li><li>
Ensure the confidentiality and integrity of the information being accessed;</li><li>
Report any suspected information security violation or breach, and</li><li>
Complete all periodic mandatory security trainings in accordance with Mastercard&rsquo;s guidelines.</li></ul></div>

Consultant, Advisors & Consulting Services, Performance Analytics

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