Data Analytics Professional

Business leaders, we are looking for a Data Analytics professional who will be the driving force behind our company's data-driven decision-making process. This is an exciting opportunity to join a team of highly skilled and innovative individuals who share a passion for leveraging data to drive business outcomes.

This role requires a strategic thinker who can lead diverse teams with varying skill sets, adapt leadership styles to fit team, client, and cultural needs, and identify risks and escalate issues as appropriate. You will create a positive learning culture, coach and counsel junior members of the team, and foster professional growth and development.

The ideal candidate has extensive experience in developing code for both SQL and NoSQL databases, proficiency across various database platforms both on-prem and in cloud, and familiarity with big data technologies such as Hadoop, Spark, or cloud-based data services (e.g., AWS, Azure, Google Cloud) to handle large-scale data processing and analytics.

You will design and implement data artefacts, including data modelling, data integration, data storage, and data governance based on industry best practices and client-specific requirements. The ability to communicate complex ideas effectively, build strong relationships with clients at various levels of the organization, and provide thought leadership to drive innovation and enhance our consulting offerings is crucial.

• Leading diverse teams with varying skillsets, who use different Data and Analytics technologies.
• Adapting your leadership style to fit team, client, and cultural needs, they will look to you to anticipate and identify risks and escalate issues as appropriate.
• As an influential member of the team, you'll create a positive learning culture and will coach and counsel junior members of the team sharing best practices, industry trends and technical knowledge to foster professional growth and development.
• Design and implementation of data artefacts, including data modelling, data integration, data storage, and data governance based on industry best practices and client-specific requirements.
• Hands-on experience on data modelling techniques to create Enterprise Data Models
• Implementing data management concepts (Metadata Management, Data Quality, Data Testing)
• Collaborate with cross-functional teams, including data scientists, engineers, and business stakeholders, to translate business requirements into technical specifications and architectural designs.
• Conduct assessment of existing data architectures, identify areas of improvement, and recommend remediation plans to optimise data management process and systems.
• Develop data migration strategies and oversee the execution of data migration activities, ensuring data integrity and minimal disruption to client operations.
• Act as a trusted advisor to clients, offering expert insights and recommendations on data architecture, data governance, data quality and data security matters.
• Stay current with emerging technologies, trends, and industry standards in data architecture and management, and provide thought leadership to drive innovation and enhance our consulting offerings.

• Minimum of 5 years of experience in data analysis and strategy, with a proven track record of creating impactful visual stories from complex datasets.
• Strong academic record including a bachelor's or master's degree in computer science, Information Systems, or a related field.
• Proven expertise in data modelling and database designs like ER models, Dimensional models, Data Vaults and Hierarchical/ Network data models etc.
• Extensive experience in developing code for both SQL and NoSQL databases, with proficiency across various database platforms both on-prem and in cloud.
• Extensive knowledge of data integration techniques, ETL processes, and data warehouse design.
• Familiarity with big data technologies such as Hadoop, Spark, or cloud-based data services (e.g., AWS, Azure, Google Cloud) to handle large-scale data processing and analytics.
• Understanding of data quality principles and practices, including data profiling, cleansing, and validation techniques to ensure high-quality data.
• Ability to create comprehensive documentation for data models, processes, and governance frameworks to ensure clarity and compliance.
• Proven experience in modelling and handling real-time data streams using technologies such as Apache Kafka, Apache Flink, or similar tools to support real-time analytics and decision-making.
• Experience in designing and implementing data governance frameworks and practices.
• Strong analytical and problem-solving skills, with the ability to understand complex business requirements and design innovative data solutions.
• Excellent client-facing skills, with the ability to build rapport, communicate effectively, and manage relationships with clients at various levels of the organization.
• Strong leadership abilities, with the capacity to lead and mentor a team of consultants and drive successful project outcomes.

• A competitive remuneration package, including support for flexible working and career development.
• An array of benefits tailored to meet your individual preferences, covering holidays, health and well-being, insurance, savings, and a wide range of discounts, offers, and promotions.
• Opportunities to develop new skills and progress your career through our TECH MBA paid by us.
• A supportive and inclusive work environment that values diversity and promotes equal opportunities.
• The freedom and flexibility to handle your role in a way that's right for you.

• The ability to demonstrate keeping pace with industry trends and apply best practices to data strategy and operations.
• Strong experience in consulting, with the ability to provide strategic advice and practical solutions to business challenges.
• Familiarity with a wide range of database technologies, both traditional and modern, including relational databases, NoSQL databases, and cloud-based data platforms.

• Data Modelling and Database Design
• Data Integration and Warehousing
• Big Data Technologies
• Data Governance and Security
• Real-Time Data Streams
• Client-Facing and Leadership