At Visa, we are driven by a common purpose – to uplift everyone, everywhere by being the best way to pay and be paid. As our products and technology have evolved with the world, Visa remains ubiquitous, reaching new customers in new and often invisible ways. We are at the center of this digital revolution with a network that connects people with over 80 million businesses all over the world.

Visa

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Implementation Analyst

The Global Data Science group at Visa is seeking a Director: Data Scientist to lead the design, development, and implementation of analytics-driven strategies and solutions for clients in CISSEE and Sub-Saharan Africa. This hybrid role involves developing models for market opportunity sizing, targeting, cross-sell/upsell, risk, and fraud, applying advanced analytical methodologies, and mentoring junior team members. The role requires strong leadership, technical expertise in data science, and collaboration with various internal and external partners to drive business performance.

People Team Development Program, MBA New College Grad Rotational Program- 2026

<h2 class="text-2xl md:text-3xl font-bold mt-10 mb-4 border-b pb-2 text-gray-800">Company Description</h2>Visa is a world leader in payments and technology, with over 259 billion payments transactions flowing safely between consumers, merchants, financial institutions, and government entities in more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable, and secure payments network, enabling individuals, businesses, and economies to thrive while driven by a common purpose – to uplift everyone, everywhere by being the best way to pay and be paid.Make an impact with a purpose-driven industry leader. Join us today and experience Life at Visa.<h2 class="text-2xl md:text-3xl font-bold mt-10 mb-4 border-b pb-2 text-gray-800">Job Description</h2>To ensure that Visa’s payment technology is truly available to everyone, everywhere requires the success of our ecosystem of key banks, merchants, fintechs and Governments. The Global Data Science group supports these partners by using our extraordinarily rich data set that spans more than 3 billion cards globally and captures more than 100 billion transactions in a single year. Our focus lies on building creative solutions that have an immediate impact on the business of our highly analytical partners. To support our rapidly growing group, we are looking for Data Scientists who are equally passionate about the opportunity to use Visa’s rich data to tackle meaningful business problems.We are seeking an innovative and analytical thinker to support our Data Science team in CISSEE within Visa Consulting & Analytics. As a Director: Data Scientist, you will be responsible for developing analytics and model-based solutions for Visa’s issuer, acquirer, merchant, fintech and Government clients. Your models will address challenges such as market opportunity sizing, prospect targeting, cross sell/upsell, cross-channel marketing implementation, risk, fraud, and more general portfolio optimization programs. You will be directly responsible for a limited number of ad-hoc reporting activities to accompany the main work of delivering descriptive, predictive, and prescriptive analytical projects, applying appropriate analytic methodologies and techniques to solve client’s business objectives. This role’s primary function is to support external clients, with some exposure to internal clients’ projects.Global Data Science is the engine of analytics at Visa, this is a high-performing team of Data Scientists, Data Analysts, Statisticians, and Business Analysts from a variety of countries – serving the Central Europe, Middle East and Africa (CEMEA) geographies. The Director of Data Science is a lead Data Scientist role in the Sub-Saharan Africa (SSA) Visa Consulting & Analytics team. As a Director, you will be accountable for leading the design, development and implementation of analytics-driven strategies and solutions. In this role, you will partner with Visa Consulting & Analytics, Business Development, Product, Finance and Technology teams across the organization to implement solutions that drive business performance.Principal Responsibilities<ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">Provide leadership to identify strategic and tactical innovation opportunities around data and data-related processes that will promote fact-based decisioning processes</li><li class="leading-relaxed">Help set strategic direction and roadmap for the Data Science group in CISSEE</li><li class="leading-relaxed">Manage and execute projects and client engagement for the large projects in CISSEE</li><li class="leading-relaxed">Provide leadership and mentoring to junior resources who are currently involved in the project</li><li class="leading-relaxed">Provide leadership to identify strategic and tactical innovation opportunities around data and data-related processes that will promote fact-based decisioning processes</li><li class="leading-relaxed">Help set strategic direction and the roadmap for the Data Science group in CISSEE</li><li class="leading-relaxed">Work with regional and global Data Science teams to develop high-quality analytic products and solutions that promote growth and business development for the region</li><li class="leading-relaxed">Keep us at the forefront of technical advancement in Data Science by introducing cutting-edge tools and techniques for generating business insights</li><li class="leading-relaxed">Develop next-generation analytic methods where existing techniques are not adequate to address business challenges</li><li class="leading-relaxed">Review, direct, guide, and inspire the analytical work of junior members in the team</li><li class="leading-relaxed">Collaborate with technology partners to build an Analytics Technology Ecosystem that supports advanced decisioning</li><li class="leading-relaxed">Develop, share, and build global best practices and knowledge management within the team</li><li class="leading-relaxed">Socialize innovative new ideas and approaches that are scalable and have market demand Leadership Competencies</li><li class="leading-relaxed">Demonstrates integrity, maturity and a constructive approach to business challenges</li><li class="leading-relaxed">Role model for the organization and implementing core Visa Values</li><li class="leading-relaxed">Use sound insights and judgments to make informed decisions in line with business strategy and needs</li><li class="leading-relaxed">Leadership skills include an ability to allocate tasks and resources across multiple lines of businesses and geographies. Leadership extends to ability to influence senior management within and outside Analytics groups</li><li class="leading-relaxed">Ability to successfully persuade/influence internal stakeholders for building best-in-class solutions</li></ul>This is a hybrid position. Hybrid employees can alternate time between both remote and office. Employees in hybrid roles are expected to work from the office 2-3 set days a week (determined by leadership/site), with a general guidepost of being in the office 50% or more of the time based on business needs.<h2 class="text-2xl md:text-3xl font-bold mt-10 mb-4 border-b pb-2 text-gray-800">Qualifications</h2>Basic Qualifications10 or more years of work experience with a Bachelor’s Degree or at least 8 years of work experience with an Advanced Degree (e.g. Masters/ MBA/JD/MD) or at least 3 years of work experience with a PhDPreferred Qualifications<ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">12 or more years of work experience with a Bachelor’s Degree or 8-10 years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 6+ years of work experience with a PhD</li><li class="leading-relaxed">Minimum of 8+ years of analytics expertise in applying statistical solutions to business problems</li><li class="leading-relaxed">Post-graduate degree (Masters or PhD) in a Quantitative field such as Statistics, Mathematics, Operational Research, Computer Science, Economics, Engineering, or equivalent</li></ul>Professional Experience<ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">Results-oriented with strong problem-solving skills and demonstrated intellectual and analytical rigor</li><li class="leading-relaxed">Good business acumen with a track record in solving business problems through data-driven quantitative methodologies. Experience in payment, retail banking, or retail merchant industries is preferred</li><li class="leading-relaxed">Team oriented, collaborative, diplomatic, and flexible style</li><li class="leading-relaxed">Very detailed oriented, is expected to ensure highest level of quality/rigor in reports and data analysis</li><li class="leading-relaxed">Proven skills in translating analytics output to actionable recommendations and delivery</li><li class="leading-relaxed">Experience in presenting ideas and analysis to stakeholders whilst tailoring data-driven results to various audience levels</li><li class="leading-relaxed">Exhibits intellectual curiosity and a desire for continuous learning</li><li class="leading-relaxed">Experience working in one or more of the Payments markets around the globe preferred</li><li class="leading-relaxed">Good understanding of the Payments and Banking Industry including aspects such as consumer credit, consumer debit, prepaid, small business, commercial, co-branded and merchant</li><li class="leading-relaxed">Good knowledge of data, market intelligence, business intelligence, and AI-driven tools and technologies</li><li class="leading-relaxed">Experience building and cultivating teams</li><li class="leading-relaxed">Experience planning, organizing, and managing multiple large projects with diverse cross-functional teams</li><li class="leading-relaxed">Demonstrated ability to incorporate new techniques to solve business problems</li><li class="leading-relaxed">Demonstrated resource planning and delivery skills</li><li class="leading-relaxed">Expertise in distributed computing environments / big data platforms (Hadoop, Elasticsearch, etc.) as well as common database systems and value stores (SQL, Hive, HBase, etc.)</li><li class="leading-relaxed">Ability to write scratch MapReduce jobs and fluency with Spark frameworks</li><li class="leading-relaxed">Familiarity with both common computing environments (e.g. Linux, Shell Scripting) and commonly-used IDE’s (Jupyter Notebooks),</li><li class="leading-relaxed">Strong programming ability in different programming languages such as Python and SQL</li><li class="leading-relaxed">Experience in drafting solution architecture frameworks that rely on API’s and microservices</li><li class="leading-relaxed">Familiarity with common data modeling approaches, and ability to work with various datatypes including JSON, XML, etc.</li><li class="leading-relaxed">Ability to build data pipelines (e.g. ETL, data preparation, data aggregation and analysis) using tools such as NiFi, Sqoop, Ab Initio, familiarity with data lineage processes and schema management tools such as Avro</li><li class="leading-relaxed">Proficient in some or all of the following techniques: Linear & Logistic Regression, Decision Trees, Random Forests, K-Nearest Neighbors, Markov Chain Monte Carlo, Gibbs Sampling, Evolutionary Algorithms (e.g. Genetic Algorithms, Genetic Programming), Support Vector Machines, Neural Networks. Strong understanding in data architecture, LLM, and Gen AI concepts.</li><li class="leading-relaxed">Expert knowledge of advanced data mining and statistical modeling techniques, including Predictive modeling (e.g., binomial and multinomial regression, ANOVA), Classification techniques (e.g., Clustering, Principal Component Analysis, factor analysis), Decision Tree techniques (e.g., CART, CHAID)</li><li class="leading-relaxed">Strong people/project management skills and experience.</li></ul><h2 class="text-2xl md:text-3xl font-bold mt-10 mb-4 border-b pb-2 text-gray-800">Additional Information</h2>Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.

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Workato

Partner Sales Associate

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HR Specialist, Newsroom

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Workato is seeking a Partner Sales Associate to scale its partner ecosystem across EMEA. This role involves driving Partner-Initiated Opportunities by nurturing existing partners, recruiting high-potential partners, and organizing programmatic pipeline generation activities. The associate will collaborate cross-functionally with sales, marketing, and customer success teams, support new logo acquisition, and manage regional partner business plans. Key responsibilities include partner acquisition, management, and data maintenance, ensuring partner readiness and success in delivering Workato solutions.

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Alliances Manager

About Workato=================Workato transforms technology complexity into business opportunity. As the leader in enterprise orchestration, Workato helps businesses globally streamline operations by connecting data, processes, applications, and experiences. Its AI-powered platform enables teams to navigate complex workflows in real-time, driving efficiency and agility.Trusted by a community of 400,000 global customers, Workato empowers organizations of every size to unlock new value and lead in today’s fast-changing world. Learn how Workato helps businesses of all sizes achieve more at <a href="http://workato.com/" target="_blank" rel="noopener noreferrer" class="text-blue-600 hover:text-blue-800 hover:underline transition-colors duration-200">workato.com</a>.Why join us?================Ultimately, Workato believes in fostering a flexible, trust-oriented culture that empowers everyone to take full ownership of their roles. We are driven by innovation and looking for team players who want to actively build our company.But, we also believe in balancing productivity with self-care. That’s why we offer all of our employees a vibrant and dynamic work environment <a href="http://www.workato.com/careers" target="_blank" rel="noopener noreferrer" class="text-blue-600 hover:text-blue-800 hover:underline transition-colors duration-200">along with a multitude of benefits</a>they can enjoy inside and outside of their work lives.If this sounds right up your alley, please submit an application. We look forward to getting to know you!Also, feel free to check out why:<ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed"><a href="https://www.businessinsider.com/47-enterprise-startups-to-bet-your-career-on-in-2020-2019-12" target="_blank" rel="noopener noreferrer" class="text-blue-600 hover:text-blue-800 hover:underline transition-colors duration-200">Business Insider</a></li></ul>named us an “enterprise startup to bet your career on”<ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed"><a href="https://www.forbes.com/cloud100/#a57477b5f941" target="_blank" rel="noopener noreferrer" class="text-blue-600 hover:text-blue-800 hover:underline transition-colors duration-200">Forbes’ Cloud 100</a></li></ul>recognized us as one of the top 100 private cloud companies in the world<ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed"><a href="https://www2.deloitte.com/us/en/pages/technology-media-and-telecommunications/articles/fast500-winners.html" target="_blank" rel="noopener noreferrer" class="text-blue-600 hover:text-blue-800 hover:underline transition-colors duration-200">Deloitte Tech Fast 500</a></li></ul>ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America<ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed"><a href="https://qz.com/work/2053446/the-best-companies-for-working-from-home/" target="_blank" rel="noopener noreferrer" class="text-blue-600 hover:text-blue-800 hover:underline transition-colors duration-200">Quartz</a></li></ul>ranked us the #1 best company for remote workersResponsibilities====================As an Inside Partner Account Manager (iPAM), you will be at the forefront of helping us scale Workato’s partner ecosystem across EMEA and increase the partner driven activity into a repeatable co-market, co-sell and co-delivery motion. This is a unique opportunity to join a growing team and help shape the strategy, structure, and success of our EMEA Partner organization.Your mission is clear: drive Partner-Initiated Opportunities by nurturing existing partners, recruiting and enabling high-potential partners. You will do this by organizing scalable, programmatic pipeline generation activities, supporting new logo acquisition initiatives and collaborating cross-functionally across sales, marketing, product marketing and customer success teams.You will also be responsible to:<ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">Partner closely with regional Partner Leaders to support growth and scale across multiple markets.</li><li class="leading-relaxed">Identify, recruit, and onboard new partners who fit our IPP.</li><li class="leading-relaxed">Collaborate with local partners to plan and execute co-marketing campaigns, partner enablement sessions and prospecting activities.</li><li class="leading-relaxed">Build and manage a regional partner business plan with clear goals, KPIs, and milestones tied to pipeline, revenue and certification targets.</li><li class="leading-relaxed">Engage in account mapping sessions with partners.</li><li class="leading-relaxed">Work closely with internal stakeholders (Account Executives, Regional Sales Leadership, Partner Account Managers, Partner Marketing) to align partner initiatives with sales priorities.</li><li class="leading-relaxed">Facilitate technical, commercial training and enablement to ensure partner readiness and success in delivering Workato solutions.</li><li class="leading-relaxed">Support the direct sales team on channel-oriented opportunities and demand generation efforts.</li></ul>New Partner Acquisition:<ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">Assist in identifying and acquiring new partners, including in adjacent markets.</li><li class="leading-relaxed">Tailor outreach efforts to meet qualified partner meeting targets—helping to build meaningful, long-term relationships.</li><li class="leading-relaxed">Learn how to craft and execute personalized outreach that resonates with potential partners.</li><li class="leading-relaxed">Partner Management:</li><li class="leading-relaxed">Support the team with the execution of actions derived from Partner Account Manager (PAM) business reviews.</li><li class="leading-relaxed">Help track progress and ensure follow-through on key initiatives.</li><li class="leading-relaxed">Be actively involved in partner management.</li></ul>Data Management:<ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">Maintain and verify Salesforce partner data to ensure accuracy and support smooth partner management.</li><li class="leading-relaxed">Assist in tracking, analyzing, and reporting on partner marketing campaigns, providing insights and recommendations for optimisation.</li></ul>Requirements================<h3 class="text-xl md:text-2xl font-bold mt-8 mb-3 text-gray-800">Qualifications / Experience / Technical Skills</h3><ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">Minimum of 4-5 years of Partner Management Experience</li><li class="leading-relaxed">Experience in Channel/Partner Sales, Inside Sales, Outbound BDR, in the Tech, Cloud, Network, Cybersecurity or SaaS space.</li><li class="leading-relaxed">A strong understanding of the reseller landscape in the EMEA region.</li></ul><h3 class="text-xl md:text-2xl font-bold mt-8 mb-3 text-gray-800">Soft Skills / Personal Characteristics</h3><ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">Excellent communication and organizational skills, with the ability to manage multiple priorities.</li><li class="leading-relaxed">A results-driven mindset with a passion for pipeline creation and partner success.</li><li class="leading-relaxed">Fluency in multiple languages is very desirable.</li><li class="leading-relaxed">You are a proactive, self-starting team player who thrives in a fast-paced environment.</li><li class="leading-relaxed">You are passionate about building relationships, driving measurable impact and enabling others to succeed.</li><li class="leading-relaxed">You are energized by the opportunity to build something from the ground up.</li></ul><h4 class="text-lg md:text-xl font-semibold mt-6 mb-2 text-gray-800">(REQ ID: 2265)</h4>

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This assessment gives us an idea of your C++ skills- Companies that evaluate this skillset in interviews: Rockstar Games, Ubisoft, Mayhem Studios, etc.- 10 Multiple Choice questions- Average time to complete: 7 to 10 minutes

Let's assess your Data Structures! - This assessment gives us an idea of your problem solving skills using DSA- Companies that evaluate this skillset in interviews: MPL, LILA Games, GSN Games, etc.- 10 Multiple Choice questions

Data Structures and Algorithms

Let's assess your Programming Patterns! ????- This assessment gives us an idea of your code architecture skills- Companies that evaluate this skillset in interviews: Dirtcube, PTW, Playshifu, etc.

Programming Patterns

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Object Oriented Programming

Let's assess your Unity Skills ????- This assessment gives us an idea of your Unity fundamentals- Companies you can apply for after taking this assessment: Godspeed games, Salvation Games, nCore Games, etc.