דרושים Data Analytics ב-Ey ב-India, Bengaluru

Consulting D&A ¬ SQL/TSQL + Power BI– Senior

As part of our EY-DnA team, you will help clients in developing and implementing data analyses, data collection systems and other strategies that optimize statistical efficiency and quality. Working with latest tools available in the market you will help clients by acquiring data from primary or secondary data sources and maintain databases/data systems and help to identify, analyse, and interpret trends or patterns in complex data sets.

Using your expertise in data analytics you will help our clients to view data in context and make smarter business decisions to achieve improved products and services.

Your key role and responsibilities

• Work as a Senior team member to contribute in various technical streams EY DnA implementation project.
• Client focused with good presentation, communication and relationship building skills.
• Use an issue-based approach to deliver growth, market and portfolio strategy engagements for corporates
• Strong communication, presentation and team building skills and experience in producing high quality reports, papers, and presentations
• Exposure to BI and other visualisation tools in the market
• Building a quality culture
• Foster teamwork
• Participating in the organization-wide people initiatives

Skills and attributes for success

• BE/BTech/MCA/MBA with adequate industry experience
• Should be at least around 3-7 years of experience in Enterprise intelligence
• Ability to translate business requirements/mock-ups/blueprints into technical solutions
• Ingesting data from a variety of corporate data sources and performing required transformations in Power BI query editor.
• Build dashboards, reports and cubes using SQL, MDX, DAX, Power BI.
• Developing calculations in DAX which are accurate and performant on large datasets.
• Designing effective layouts using themes and report grids, working closely with our UX design team.
• Utilising the navigation features in Power BI (e.g. bookmarks, drill-throughs) to guide readers through a compelling data-driven story.
• Deployment and other admin related activities such as scheduling data refresh, sending outputs to users via mail, access control etc.
• Guide the users with the industry standard practices in terms of Power BI dashboard development and maintenance.
• Should have an understanding of various pricing tiers and differentiators between various Power BI licences.
• Working with our clients to manage User Acceptance Testing (UAT) processes and fixing any defects identified.
• Publishing reports via the Power BI service, managing them through distribution of apps and monitoring usage/data refreshes/security access.
• Knowledge of cloud computing, preferably on Azure.
• Strong DWH basics.
• Strong data modelling skills.
• Familiar with Agile and Waterfall SDLC process
• Should be at least 2+ years of experience in Enterprise intelligence
• Experience with relational databases and strong SQL and PL/SQL skills for querying data
• SQL coding experience on large projects working with newer versions of SQL Server (2014 and newer)

Nice to have:

• Power BI Data Analyst Associate Certification
• Experience in design tools like Figma

You get to work with inspiring and meaningful projects. Our focus is education and coaching alongside practical experience to ensure your personal development. We value our employees, and you will be able to control your own development with an individual progression plan. You will quickly grow into a responsible rolewith challenging and stimulating assignments. Moreover, you will be part of an interdisciplinary environment that emphasizes high quality and knowledge exchange. Plus, we offer:

• Support, coaching and feedback from some of the most engaging colleagues around
• Opportunities to develop new skills and progress your career
• The freedom and flexibility to handle your role in a way that’s right for you

EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.

Job Title: ML Ops Specialist - Senior

3-7 years

Key Responsibilities:

• Design, implement, and manage ML Ops pipelines to streamline the deployment and monitoring of machine learning models in production.
• Collaborate with data scientists and engineers to ensure smooth integration of ML models into existing systems and workflows.
• Utilize Azure services for deploying, managing, and scaling machine learning applications and infrastructure.
• Monitor model performance and implement strategies for continuous improvement and optimization.
• Develop and maintain documentation for ML Ops processes, workflows, and best practices.
• Implement AI Ops practices to enhance operational efficiency and reliability of AI systems.
• Troubleshoot and resolve issues related to model deployment, performance, and data quality.
• Stay updated on industry trends and advancements in ML Ops and AI Ops, recommending best practices for implementation.

Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field.
• 3-7 years of experience in ML Ops and AI Ops, preferably in the banking and insurance sectors.
• Proficiency in programming languages such as Python or R, with experience in ML frameworks (e.g., TensorFlow, PyTorch).
• Strong understanding of Azure services related to machine learning (e.g., Azure Machine Learning, Azure DevOps).
• Experience with CI/CD practices for machine learning model deployment.
• Excellent analytical and problem-solving skills, with a focus on delivering reliable AI solutions.
• Strong communication skills and the ability to work effectively in a collaborative environment.

Preferred Skills:

• Familiarity with containerization technologies (e.g., Docker, Kubernetes) for deploying ML models.
• Knowledge of data governance and compliance standards in the banking and insurance sectors.
• Experience with monitoring and logging tools for AI systems.

EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.

Your key responsibilities

• Have proven experience in driving Analytics GTM/Pre-Sales by collaborating with senior stakeholder/s in the client and partner organization in BCM, WAM, Insurance. Activities will include pipeline building, RFP responses, creating new solutions and offerings, conducting workshops as well as managing in flight projects focused on cloud and big data.
• Need to work with client in converting business problems/challenges to technical solutions considering security, performance, scalability etc. [ 10- 15 years]
• Need to understand current & Future state enterprise architecture.
• Need to contribute in various technical streams during implementation of the project.
• Provide product and design level technical best practices
• Interact with senior client technology leaders, understand their business goals, create, architect, propose, develop and deliver technology solutions
• Define and develop client specific best practices around data management within a Hadoop environment or cloud environment
• Recommend design alternatives for data ingestion, processing and provisioning layers
• Design and develop data ingestion programs to process large data sets in Batch mode using HIVE, Pig and Sqoop, Spark
• Develop data ingestion programs to ingest real-time data from LIVE sources using Apache Kafka, Spark Streaming and related technologies

Skills and attributes for success

• Architect in designing highly scalable solutions Azure, AWS and GCP.
• Strong understanding & familiarity with all Azure/AWS/GCP /Bigdata Ecosystem components
• Strong understanding of underlying Azure/AWS/GCP Architectural concepts and distributed computing paradigms
• Hands-on programming experience in Apache Spark using Python/Scala and Spark Streaming
• Hands on experience with major components like cloud ETLs,Spark, Databricks
• Experience working with NoSQL in at least one of the data stores - HBase, Cassandra, MongoDB
• Knowledge of Spark and Kafka integration with multiple Spark jobs to consume messages from multiple Kafka partitions
• Solid understanding of ETL methodologies in a multi-tiered stack, integrating with Big Data systems like Cloudera and Databricks.
• Strong understanding of underlying Hadoop Architectural concepts and distributed computing paradigms
• Experience working with NoSQL in at least one of the data stores - HBase, Cassandra, MongoDB
• Good knowledge in apache Kafka & Apache Flume
• Experience in Enterprise grade solution implementations.
• Experience in performance bench marking enterprise applications
• Experience in Data security [on the move, at rest]
• Strong UNIX operating system concepts and shell scripting knowledge

To qualify for the role, you must have

• Flexible and proactive/self-motivated working style with strong personal ownership of problem resolution.
• Excellent communicator (written and verbal formal and informal).
• Ability to multi-task under pressure and work independently with minimal supervision.
• Strong verbal and written communication skills.
• Must be a team player and enjoy working in a cooperative and collaborative team environment.
• Adaptable to new technologies and standards.

• Participate in all aspects of Big Data solution delivery life cycle including analysis, design, development, testing, production deployment, and support
• Responsible for the evaluation of technical risks and map out mitigation strategies
• Experience in Data security [on the move, at rest]
• Experience in performance bench marking enterprise applications
• Working knowledge in any of the cloud platform, AWS or Azure or GCP
• Excellent business communication, Consulting, Quality process skills
• Excellent Consulting Skills
• Excellence in leading Solution Architecture, Design, Build and Execute for leading clients in Banking, Wealth Asset Management, or Insurance domain.
• Minimum 7 years hand-on experience in one or more of the above areas.
• Minimum 10 years industry experience

Ideally, you’ll also have

• Strong project management skills
• Client management skills
• Solutioning skills

What we look for

• People with technical experience and enthusiasm to learn new things in this fast-moving environment

You get to work with inspiring and meaningful projects. Our focus is education and coaching alongside practical experience to ensure your personal development. We value our employees and you will be able to control your own development with an individual progression plan. You will quickly grow into a responsible role with challenging and stimulating assignments. Moreover, you will be part of an interdisciplinary environment that emphasizes high quality and knowledge exchange. Plus, we offer:

• Support, coaching and feedback from some of the most engaging colleagues around
• Opportunities to develop new skills and progress your career
• The freedom and flexibility to handle your role in a way that’s right for you

Data, Analytics and Strategy - Manager – Oil & Gas Sector

In this role, you will design and apply comprehensive methods and practices to govern the entire lifecycle of data assets, ensuring their protection and monetization. You will perform maturity assessments on data management capabilities and advise on tools and roadmaps to implement them, all while aligning data strategies with business objectives.

Your Key Responsibilities

As a Manager in Data, Analytics (AI)and Strategy, you will help lead complex processes and projects, ensuring quality and risk management while navigating organizational dynamics. This role offers a unique opportunity to work closely with clients, providing insights and solutions that drive business value. You will be responsible for managing client relationships and engagement delivery, with regular travel requirements to meet client needs.

• Assisting in developing resource plans and budgets for engagements, ensuring effective engagement economics.
• Exercise judgment in selecting methods and techniques for obtaining results.
• Define and execute the analytics, data and governance strategy for oil & gas clients, aligning with business objectives and regulatory requirements.
• Develop and implement robust data governance frameworks, including policies, data stewardship models, roles, and accountability across the organization.
• Oversee Master Data Management (MDM), metadata management, and data cataloging practices to ensure data consistency, discoverability, and trust.
• Ensure compliance with data privacy, protection, and regulatory standards (e.g., GDPR, CCPA), working closely with Legal, Security, and Risk teams.
• Lead and mentor a multidisciplinary team of analysts, engineers, and data stewards to deliver high-quality outcomes and maintain stakeholder confidence.
• Design scalable, secure, and cost-effective data & analytics, including AI/ML & GenAI architectures in collaboration with enterprise architects and IT to support business intelligence and advanced analytics needs.
• Oversee cloud-based data & analytics platforms and technologies such as Databricks, Snowflake, Azure, AWS, and Hadoop for ingestion, storage, and processing.
• Drive the design and implementation of analytical models, data pipelines, AI engineering, and visualizations to solve complex business problems and generate actionable insights.

• Leverage advanced analytics and machine learning and generative AI techniques (e.g., optimization, forecasting, simulation) to enhance operational efficiency and reduce cost.

• Translate business initiatives into prioritized use cases with measurable ROI and manage delivery across multiple domains.
• Develop and champion data literacy programs, training, and change management initiatives to embed a data-driven culture across client organizations.
• Communicate analytical findings through compelling data storytelling, dashboards, and visualizations tailored to business and technical audiences.
• Build and maintain trusted relationships with client stakeholders across operations, IT, engineering, and executive leadership.
• Stay abreast of emerging technologies, oil & gas domain trends

To Qualify for the Role, You Must Have

To excel in this role, you will need a blend of technical and interpersonal skills that drive impactful results. Your ability to build and manage relationships, coupled with strong analytical capabilities, will be crucial in navigating complex challenges.

• A bachelor’s degree required; Master’s degree preferred in a quantitative or technical field (e.g., statistics, computer science, engineering, mathematics) with prior consulting experience required.
• At least 6 years of relevant experience in data analytics, data governance, or data strategy, preferably in the oil & gas industry.
• Demonstrated success in deploying analytics solutions across different oil & gas domains (upstream, midstream, downstream).
• Deep knowledge of data, analytics, data & AI governance, including data quality frameworks, stewardship models, compliance, and policy creation.
• Familiarity in Master Data Management (MDM), metadata, lineage tracking, and data catalog tools (e.g., Collibra, Alation).
• Demonstrated experience designing and deploying scalable data & analytics architectures
• Proficiency with data analytics tools and platforms: SQL, Python, PySpark, R, Power BI, Tableau, Cognite, Palantir, Dataiku, or similar.
• Expertise in advanced analytics, data science, generative AI and machine learning approaches to solve operational or financial challenges.
• Hands-on experience with big data and cloud platforms such as Databricks, Snowflake, Azure (Data Factory, AzureML), AWS, Hadoop.
• Ability to lead large-scale digital transformation engagements, manage delivery risk, and foster trusted client relationships.
• Strong communication and stakeholder management skills across technical and business domains.
• Passion for mentoring, knowledge sharing, and building high-performing data teams.
• Hands-on experience in cloud and data engineering tools including Azure, Databricks, Snowflake, and data orchestration platforms.
• Understanding of regulatory and data privacy implications within the oil & gas sector.
• A valid U.S. driver’s license and willingness to travel to client locations as needed.

Ideally, You’ll Also Have

• Experience in deploying data products in areas such as asset management, ESG reporting, operational efficiency, or safety compliance in industrial environments.
• Familiarity with data mesh concepts and decentralized data ownership models.
• Certifications in Azure Data Engineer, Snowflake, Databricks or related platforms.
• Experience with Data Office Organization and Architecture.
• Familiarity with Digital Fluency and Hybrid Collaboration techniques.
• Strong emotional agility to navigate complex interpersonal dynamics.

EY's State and Local Tax (SALT) team is a growing practice within the organization, and you'll see that growth reflected in your career. As a Tax Manager, you’ll manage multiple tax engagements and will contribute to the delivery of quality tax planning and compliance services for our financial services industry clients. You’ll be part of a rapidly growing team that’s seen plenty of recent expansion, with the aim to double in size over the next few years. With support from some of the most engaging professionals in the business, you can expect to develop your tax technical skills, management techniques, and business experience considerably. It’s all about taking on new skills and responsibilities as they arise and making the most of our dedicated mentors and training programs.

Your key responsibilities

You’ll likely spend most of your time on a diverse array of projects, responsibilities, and tasks. Whatever you’re working on, our clients will turn to you for up-to-the-minute tax advice they can always rely on. To make that happen, we’ll look to you to implement your extensive knowledge of state and local tax concepts and law. You can expect to be working in a highly collaborative culture, where listening to and sharing information with colleagues is an essential part of the role.

Skills and attributes for success

• Contributing to the overall success of the team by developing a thorough understanding of EY methodologies and tools to enhance service delivery
• Challenging traditional procedures and finding new approaches to provide tax services
• Building client relationships and demonstrating your knowledge of the real estate industry
• Developing and guiding junior tax professionals by providing effective performance feedback and on-the-job training, and ensuring team responsibilities are consistent with skills and developmental goals
• Staying abreast of state and local tax developments and work to develop new and innovative service offerings that can deliver value to our clients

To qualify for the role, you must have

• A bachelor's degree with an emphasis in accounting, finance, or economics and 5 years of related work experience
• A CPA certification, or good standing as a member of a state bar
• Strong tax technical skills including tax research and writing skills, flow through entity taxation, income and franchise taxes, transfer taxes, and compliance skills as it relates to multi-state jurisdictions
• Project management experience in delivering high quality work products in a fast-paced environment
• Excellent verbal and written communication skills
• Willingness to travel as needed, and working in a balanced hybrid environment

Ideally, you’ll also have

• Experience in a professional services environment

What we look for

We’re interested in people with initiative who are not afraid to speak up, with a genuine desire to service clients in the financial services industry focused on state and local taxes. If you’re ready to further build on your reputation as a professional advisor, this role is for you.

Your key responsibilities

• Develop, review, and implement Solutions applying AI, Machine Learning, Deep Learning, and develop APIs using Python.
• Having relevant understanding of Big Data and Visualization would be one-upping.
• Lead the development and implementation of Generative AI applications using both open source (Llama, BERT, Mistral, etc.) and closed source (Open AI GPT models, MS Azure Cognitive Services, Claude, Cohere etc.) Large Language Models (LLMS).
• Extensively work with advanced models such as GPT-3.5, GPT 4, Llama, BERT etc, for natural language processing and creative content generation using contextual information.
• Design and optimize solutions leveraging Vector databases for efficient storage and retrieval of contextual data for LLMs.
• Understand Business and Sectors, ability to identify the whitespaces and opportunities for analytics application.
• Work and manage large to mid-size projects, and ensure smooth service delivery on assigned products, engagements and/or geographies.
• Work with project managers to study resource needs and gaps and devise alternative ways forward.
• Provide expert reviews for all projects within the assigned subject.
• Ability to communicate with cross functional/competencies teams.
• Go to Market / Stakeholder Management.

Skills and attributes for success

• Able to work creatively and systematically in a time-limited, problem-solving environment
• Loyal and reliable with high ethical standards
• Flexible, curious and creative, open for new things and able to propose innovative ideas
• Good interpersonal skills
• Team player, open, pleasure to work with and positive in a group dynamic
• Intercultural intelligence and experience of working in more than one country and/or multi-cultural teams with distributed delivery experience
• Ability to manage multiple priorities simultaneously to meet tight deadlines and drive projects to completion with minimal supervision

To qualify for the role, you must have

• Experience of guiding teams on Projects focusing on AI/Data Science and Communicating results to clients
• Familiar in implementing solutions in Azure Cloud Framework
• Excellent Presentation Skills
• 12 – 16 years of relevant work experience in developing and implementing AI, Machine Learning Models- experience of deployment in Azure is preferred
• Experience in application of statistical techniques like Linear and Non-Linear Regression/classification/optimization, Forecasting and Text analytics.
• Familiarity with deep learning and machine learning algorithms and the use of popular AI/ML frameworks
• Minimum 6 years of experience in working with NLG, LLM, DL Techniques
• Relevant understanding of Deep Learning and neural network techniques
• Expertise in implementing applications using open source and proprietary LLM models
• Proficient in using Langchain-type orchestrators or similar Generative AI workflow management tools
• Minimum of 6-9 years of programming in Python
• Experience with the software development life cycle (SDLC) and principles of product development
• Willingness to mentor team members
• Solid thoughtfulness, technical and problem-solving skills
• Excellent written and verbal communication skills

Ideally, you’ll also have

• Ability to think strategically/end-to-end with result-oriented mindset
• Ability to build rapport within the firm and win the trust of clients
• Willingness to travel extensively and to work on client sites / practice office locations

What we look for

• A Team of people with commercial acumen, technical experience and enthusiasm to learn new things in this fast-moving environment
• An opportunity to be a part of market-prominent, multi-disciplinary team of 3000 + professionals, in the only integrated global transaction business worldwide.
• Opportunities to work with EY SaT practices globally with prominent businesses across a range of industries

What we offer

EY Global Delivery Services (GDS) is a dynamic and truly global delivery network. We work across six locations – Argentina, China, India, the Philippines, Poland and the UK – and with teams from all EY service lines, geographies and sectors, playing a vital role in the delivery of the EY growth strategy. From accountants to coders to advisory consultants, we offer a wide variety of fulfilling career opportunities that span all business disciplines. In GDS, you will collaborate with EY teams on exciting projects and work with well-known brands from across the globe. We’ll introduce you to an ever-expanding ecosystem of people, learning, skills and insights that will stay with you throughout your career.

• Continuous learning: You’ll develop the mindset and skills to navigate whatever comes next.
• Success, as defined by you : We’ll provide the tools and flexibility, so you can make a meaningful impact, your way.
• Transformative leadership : We’ll give you the insights, coaching and confidence to be the leader the world needs.
• Diverse and inclusive culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs.

EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.

Manager Enterprise Riskto support our growth, and help our clients with their ambitions in the field of Risk Management.

These services include (amongst others):

• The identification, evaluation and management of risks with an increased focus on sustainability and AI
• The preparation, execution and reporting of Internal Audits by reviewing the design and operating effectiveness of internal controls (using data analytics) and developing recommendations to improve effectiveness and efficiency of internal controls.
• The development of Risk Based Internal Audit Plans.
• The development or improvement of Enterprise Risk Management (ERM) and Third Party Risk Management (TPRM) frameworks, including the set-up and preparation, execution and reporting of risk assessments.
• The implementation and review of Internal Control environments (e.g. COSO based)
• The review of compliance management frameworks and how they help being compliant to regulatory requirements

Your Key Responsibilities:
You will advise our clients to achieve their objectives by supporting them to identify and manage their risks. Your tasks and responsibilities will include, amongst others, the following:

• Managing Internal Audits during which the design and operating effectiveness of internal controls (using data analytics) is reviewed recommendations are developed to improve effectiveness and efficiency of internal controls. These include operational, financial and sustainability controls.
• The development of Risk Based Internal Audit Plans.
• The development or improvement of Enterprise Risk Management (ERM) frameworks, including maturity assessments and the preparation, execution and reporting of risk assessments.
• The implementation of Internal Control environments (e.g. ESG, COSO, SOX).
• Co-develop go-to-market initiatives in the various sectors and industries in Belgium in the domains of internal control, internal audit and risk management

In your role as Manager , we expect you to manage execution of these tasks and responsibilities independently, with support of a Director or Partner. You will also coordinate and review work performed by more junior colleagues.

To qualify for the role:

• You have a master degree
• You have minimum 5 years of professional experience with internal organization control, internal audit, risk management or process optimization.
• You have strong project management skills to lead and manage engagements effectively.
• You have the ability to collaborate effectively with cross-functional teams.
• You have leadership skills to manage and mentor junior team members.
• You must have excellent interpersonal, communication and writing skills and strong analytical skills.Experience with data analytics is an asset.
• You are curious with a critical mindset and are a team player, but able to work autonomously.
• You are willing to travel occasionally.
• You are fluent in Dutch or French and English.

• Attractive remuneration package- We offer an attractive remuneration package; including a company car and fuel card, iPhone plus subscription, health insurance, pension plan, meal vouchers and eco vouchers. Thanks to our flex plan it is possible to choose what you value most.
• Flexible working arrangements- We are proud of our flexible working arrangements. We will actively support you in building a successful career and delivering excellent client service without sacrificing your personal priorities. We offer flexible working hours and working from home multiple days per week is possible.
• Inspiring work environment- At EY we are dedicated to providing you with an inspiring work environment. A work environment which allows you to further develop your skills and enables you to fulfill your true potential.
• Personal growth- You will receive numerous trainings and will be coached by a counselor. We offer a clear career path tailored to your unique skills.
• Fun- By joining our EY- teams, you can participate in team activities, companywide events and enjoy a drink during our monthly afterwork drink.
• Sustainability -We have a fleet of hybrid and electric cars. Our flex plan makes it possible for you to choose the most sustainable option for you. You can also opt for a train subscription or lease a bike. Furthermore, we recently moved to our brand-new sustainable office ‘the Wings’, right across from our current office in Diegem;
• Diversity & inclusion- At EY we are passionate about the inclusion and support of individuals of all groups; we do not discriminate on the basis of race, religion, gender, sexual orientation, or disability status;
• Location

Moreover, we have been elected as the. Over the years, EY evolved from the 9th to the 7th to the 4th to the 3rd place last year, to end first this year. We are tremendously proud of this accomplishment. We’ve built a workplace where people can flourish, develop and be happy. At EY you will beto take responsibility andto seize opportunities to grow your expertise and your career.