דרושים Data & Analytics Consultants ב-Ey ב-Malta

The role will also include responsibility for Requirements Engineering and Requirements Management. You will work with stakeholders to elicit, document, manage, and validate business and technical requirements, ensuring that they are aligned with delivery goals and remain traceable throughout the project lifecycle.

In addition to Agile delivery leadership, this role includes ownership of Quality Assurance and Test Management activities. You will be responsible for test planning, triaging defects with stakeholders, coordinating user acceptance testing (UAT), and overseeing ongoing test monitoring and reporting throughout the delivery lifecycle.

Your key responsibilities:
• Facilitate and manage Agile ceremonies such as sprint planning, stand-ups, retrospectives, and reviews.
• Guide Agile teams and business stakeholders through backlog creation, refinement, and prioritization.
• Collaborate closely with other product owners, scrum masters, developers, testers, and business stakeholders to ensure continuous delivery and alignment with business objectives.
• Translate business requirements into well-structured user stories and acceptance criteria that guide development and quality assurance efforts.
• Plan and coordinate all aspects of Quality Assurance, including test strategy, test planning, test case definition, and UAT coordination.
• Monitor test execution and defect resolution processes, ensuring issues are triaged, tracked, and resolved in collaboration with stakeholders.
• Provide test progress updates and quality reports to stakeholders, ensuring transparency and proactive risk management.
• Support Agile planning, estimation, and forecasting of delivery timelines and resource requirements.
• Monitor delivery progress using Agile metrics and dashboards, driving continuous improvement based on data insights.
• Coach client teams and internal stakeholders in Agile frameworks, values, and practices, adapting to various organizational maturity levels.
• Support Agile transformation initiatives by defining roadmaps, training sessions, and governance structures.
• Utilize Agile tools such as Azure DevOps, Jira, and Confluence to manage projects, track progress, document requirements, and monitor test coverage.
• Contribute to internal frameworks and reusable assets that enable consistent delivery of Agile services.
• Stay current with trends in Agile delivery, quality management, and enterprise technology to guide clients through evolving best practices.

Skills and attributes for success:
• Deep understanding of Agile delivery methodologies (Scrum, Kanban, SAFe, etc.).
• Strong knowledge of quality assurance principles and test management practices in Agile environments.
• Experience using Agile project management and test tools (Azure DevOps, Jira, TestRail, Xray, etc.).
• Excellent communication and facilitation skills with a strong ability to influence stakeholders at all levels.
• Strong organizational and multitasking skills to manage several projects or workstreams in parallel.
• Experience leading UAT cycles and coordinating testing across diverse stakeholder groups.
• Analytical mindset with a continuous improvement attitude.
• Ability to work both independently and within diverse cross-functional teams.
• Strong stakeholder management skills across business, delivery, and technical domains.

To qualify for the role, you must have:
• Bachelor's degree in Computer Science, Information Systems, Business, or a related field.
• Minimum 5 years of experience in Agile delivery environments across cross-functional teams.
• Practical experience managing Agile product backlogs and facilitating delivery pipelines.
• Proven experience in quality assurance and test management roles within Agile projects.
• Experience engaging directly with business and IT stakeholders to define and deliver solutions.
• Agile certifications such as Scrum Master (CSM/PSM), SAFe Agilist, PMI-ACP, or equivalent are desirable.
• ISTQB or equivalent test management certification is considered an asset.
• A fluent command of English (spoken and written).

What we offer

As a Data & Analytics Consultant, you will be actively contributing to transforming data into actionable insights for our clients. Your role will involve a combination of technical expertise, analytical skills and business knowledge to help clients leverage their data assets to make informed decisions, optimize operations and drive growth.

• Collaborate with clients to understand their business objectives and data analytics requirements
• Perform data extraction, cleaning and transformation to prepare datasets for analysis
• Translate complex analytical findings into strategic recommendations for non-technical audiences
• Create intuitive data visualizations and dashboards for stakeholders to interpret the results
• Meet engagement project expectations defined by project and engagement stakeholders
• Monitor project scope, schedule and the progress of client engagement deliverables
• Identify, communicate and address project risks, assumptions and constraints
• Develop and maintain relationships with stakeholders across other EY functional groups
• Stay abreast of industry trends and advancements in data science and analytics tools
• Identify opportunities to enhance data analytics techniques

Key Requirements:
• A bachelor’s degree (MQF Level 6) in Data Science, Statistics, Computer Science, Engineering or a related field
• 1+ years of relevant, professional work experience in data and analytics
• Proficiency in data analytics tools and programming languages such as Python, R, SQL and SAS
• Experience with data visualization tools like Tableau, Power BI or similar
• Experience building and applying data analysis techniques and algorithms
• Excellent communication, documentation and presentation skills
• Strong analytic and problem-solving skills
• Ability to work in a fast-paced, team-oriented environment

We provide attractive salaries, excellent benefits and reward you for your performance. You will also be given full training and the opportunity to undertake industry recognised professional qualifications. As an investor in people, we will provide:

• Support and coaching from some fantastic colleagues
• Opportunities to quickly progress your career
• Flexibility to handle your role in a way that’s right for you
• EY also offers multitude of learning resources including the possibility to pursue an accredited Tech MBA program through self-paced learning

As a member of the Financial Services Advisory team, you will contribute to the delivery of regulatory compliance support to clients engaged in banking, investment services, fintech and insurance activities. Your role will focus on assisting with regulatory assessments, contributing to the development of compliance programs, and helping clients understand and adhere to their regulatory obligations.

Key Responsibilities:

• Provide advice on regulatory requirements, changes, and risks to clients and internal teams.
• Conduct regulatory impact assessments for new regulations.
• Contribute to the preparation and submission of regulatory documentation and filings.
• Collaborate with other service lines within EY to provide integrated solutions to clients.
• Maintain up-to-date knowledge of regulatory developments and trends across multiple jurisdictions.
• Contribute to the growth of the Regulatory Compliance team by identifying new business opportunities and client relationships.
• Contribute to thought leadership and participate in industry forums.

Qualifications & Experience:

• Bachelor's degree in Law, Business, Finance, or a related field.
• Minimum of 2 years of experience in regulatory affairs or compliance within a consulting firm, regulatory agency, or relevant industry.
• Sound understanding of regulatory frameworks and processes applicable to credit and financial institutions. Working experience in these areas will be considered an asset.
• Strong communication and interpersonal skills.

This multifaceted role is pivotal in transforming clients' operations through the power of data. By driving data strategy and governance, along with designing advanced architectures and models, the Data Engineer/Architect ensures that organizations can harness their data effectively and intelligently. Whether through crafting innovative solutions, streamlining data pipelines, or implementing cutting-edge platforms, this position is dedicated to empowering clients to achieve their goal of becoming truly data-driven. Furthermore, the work spans across diverse technologies and industry sectors, providing a dynamic and enriching environment to address unique challenges and opportunities in various fields.

Key Responsibilities

Define, guide, and advise clients on developing data strategies that embrace innovation and drive transformative outcomes.Innovation & Transformation:

• Define and design cutting-edge Data & Analytics architectures and solutions that enable businesses to harness the full potential of their data assets.
• Oversee and develop advanced data platforms, including data acquisition and integration, data modeling, transformation, and quality processes, as well as master data management, data warehousing, data lakes, ontologies, and metadata layers.
• Support the strategy, planning, and implementation of data design services by providing sizing and configuration guidance and conducting thorough needs assessments. Collaborate with other architects to implement complex, end-to-end enterprise solutions that integrate seamlessly into existing ecosystems.

Technology:

• Evaluate and select tools and components essential for optimal data management and analytics capabilities, ensuring innovative solutions are implemented effectively.
• Develop and maintain comprehensive data lake and data warehouse schematics, layouts, architectures, and relational/non-relational databases to enable robust data access and advanced analytics.
• Define, design, and implement efficient data ingestion flows and data pipelines, ensuring high performance and scalability for large-scale data operations.
• Take an active role in coaching and developing junior consultants, fostering an innovative and collaborative team environment. Support business development activities by contributing thought leadership and technical expertise to strengthen client relationships and drive new opportunities.

Skills and Attributes for Success

• Proven track record and experience in data strategy, architecture, data modeling, data governance, AI, Machine Learning, and data platform design.
• Experience with Big Data technologies, containerization platforms, databases (SQL and NoSQL), and cloud platforms such as AWS, Azure, and Google Cloud.
• Good understanding of ETL, ELT, data ingestion/cleansing, and engineering skills. Knowledge of Python, Java and other programming languages a plus.
• Excellent communication and presentation skills, ability to adapt quickly and positively to change, strong analytical and problem-solving skills.
• Eager to learn and grow professionally.
• Must have a strong entrepreneurial and team spirit, balanced by a healthy sense of autonomy.

Qualifications

• Bachelor or Master’s Degree in Artificial Intelligence, Information Systems, Software Engineering, or other related fields.
• At least 3 years’ experience in software engineering, data strategy, technology consulting, or similar roles.
• Understanding of the different data architecture patterns is a real asset.
• Excellent English communication skills. A good level of another foreign language would be an asset.

This multifaceted role is pivotal in transforming clients' operations through the power of data. By driving data strategy and governance, along with designing advanced architectures and models, the Data Engineer/Architect ensures that organizations can harness their data effectively and intelligently. Whether through crafting innovative solutions, streamlining data pipelines, or implementing cutting-edge platforms, this position is dedicated to empowering clients to achieve their goal of becoming truly data-driven. Furthermore, the work spans across diverse technologies and industry sectors, providing a dynamic and enriching environment to address unique challenges and opportunities in various fields.

Key Responsibilities

Define, guide, and advise clients on developing data strategies that embrace innovation and drive transformative outcomes.Innovation & Transformation:

• Define and design cutting-edge Data & Analytics architectures and solutions that enable businesses to harness the full potential of their data assets.
• Oversee and develop advanced data platforms, including data acquisition and integration, data modeling, transformation, and quality processes, as well as master data management, data warehousing, data lakes, ontologies, and metadata layers.
• Support the strategy, planning, and implementation of data design services by providing sizing and configuration guidance and conducting thorough needs assessments. Collaborate with other architects to implement complex, end-to-end enterprise solutions that integrate seamlessly into existing ecosystems.

Technology:

• Evaluate and select tools and components essential for optimal data management and analytics capabilities, ensuring innovative solutions are implemented effectively.
• Develop and maintain comprehensive data lake and data warehouse schematics, layouts, architectures, and relational/non-relational databases to enable robust data access and advanced analytics.
• Define, design, and implement efficient data ingestion flows and data pipelines, ensuring high performance and scalability for large-scale data operations.
• Take an active role in coaching and developing junior consultants, fostering an innovative and collaborative team environment. Support business development activities by contributing thought leadership and technical expertise to strengthen client relationships and drive new opportunities.

Skills and Attributes for Success

• Proven track record and experience in data strategy, architecture, data modeling, data governance, AI, Machine Learning, and data platform design.
• Experience with Big Data technologies, containerization platforms, databases (SQL and NoSQL), and cloud platforms such as AWS, Azure, and Google Cloud.
• Good understanding of ETL, ELT, data ingestion/cleansing, and engineering skills. Knowledge of Python, Java and other programming languages a plus.
• Excellent communication and presentation skills, ability to adapt quickly and positively to change, strong analytical and problem-solving skills.
• Eager to learn and grow professionally.
• Must have a strong entrepreneurial and team spirit, balanced by a healthy sense of autonomy.

Qualifications

• Bachelor or Master’s Degree in Artificial Intelligence, Information Systems, Software Engineering, or other related fields.
• At least 3 years’ experience in software engineering, data strategy, technology consulting, or similar roles.
• Understanding of the different data architecture patterns is a real asset.
• Excellent English communication skills. A good level of another foreign language would be an asset.