Senior Data Analyst

About Our Team LexisNexis Legal & Professional, a division of RELX, is a global leader in providing information-based analytics and decision tools for professional and business customers. With a presence in over 150 countries and a workforce of 11,300 employees worldwide, we are committed to delivering exceptional service and innovative solutions. Our team, based in the APAC region, plays a crucial role in supporting all regional functions through comprehensive reporting and data-driven insights. We are currently undergoing an exciting transition, where we are enhancing our data capabilities and embracing Machine Learning and Predictive Analytics to better support our business objectives and drive growth. Our team is composed of high-performing professionals who collaborate across business units to deliver insights that shape strategic decisions. You’ll work closely with stakeholders across departments and geographies, including mentoring junior analysts and supporting organisational development initiatives. About The Role As a Senior Data Analyst III, you will lead analytics efforts and projects with full autonomy, from defining scope and approach to delivering actionable insights and business recommendations. You will be a thought leader in your domain, creating advanced insights that extend into adjacent areas of expertise and designing best practices that elevate analytics across the organisation. This role demands a strategic mindset and hands-on technical expertise. You will provide leadership and mentorship to the Data team, fostering a collaborative environment and enhancing team capabilities. You’ll manage complex analytics and data projects, ensuring timely delivery within scope, while overseeing key functional spaces of data visualisations optimising its efficiency, scalability, and security. Responsibilities Provide leadership and mentorship to the Data team, fostering a collaborative environment and enhancing team skills. Lead analytics efforts and projects independently, including defining scope and approach. Manage projects to ensure timely delivery within scope and quality standards. Collaborate with stakeholders to enforce data quality and governance, assess and implement new technologies, and monitor analytics solution performance for continuous improvement. Develop and maintain data models and products that support advanced analytics and reporting requirements. Aim to uncover meaningful insights and deliver actionable business recommendations Drive and develop new dashboards when new products are launched. Continuously optimise data processes and workflows to improve efficiency, scalability, and reliability. Perform data analysis and profiling to identify data quality issues, inconsistencies, and gaps. Consolidate data accurately from various sources to conduct analysis and present findings & insights. In a team setting, add value to conversations to develop, construct, install, test, and maintain data architectures (databases, large-scale processing systems, and data pipelines) that support ETL and Data Visualisations processes. Write technical and release documentation including specifications, testing strategies, and performance benchmarks. Collaborate with leadership teams to understand data needs and define analytics requirements. Identify and make recommendations for improvement to existing processes and procedures. Endorse and advocate for the benefit of change initiatives to functional leaders. Requirements Master’s or PhD in Data Science, Statistics, Mathematics, or a related field. 6-9 years of relevant experience in data analytics. Strong business facing stakeholder management and project leadership skills. Proven ability to lead large-scale strategic analytics programs. Excel in teaching and directing others with a supportive and caring demeanor. Demonstrates expert proficiency in preparing data using a variety of tools and programming languages. (SQL, Python, R) Ability to effectively leverage big data platforms to maximize analytical value. Can design and create compelling visualizations to influence stakeholders. Able to identify opportunities and barriers, suggest solutions, and bring these to the attention of others, including those outside of the analytics team. Demonstrated expertise in data modelling, statistical analysis, and data blending. Deep understanding of industry trends and adjacent disciplines. Experience in designing and maintaining scalable data architectures and pipelines. Experience with customer usage data; how are subscribers using a system. Financial / Accounting background. Including monthly closing processes, adjustment processes, contract management, and variance analysis. Solid networking background: ability to design & troubleshoot firewall access & connectivity issues between systems. Platforms & Tools Extensive use of Databricks & the Medalion Architecture Extensive use of Amazon Redshift Business Events Data / Metadata Tagging Systems Python libraries central to Analytics & ML (Scikit-learn, NumPy, Pandas, Matplotlib, etc.) Strong knowledge of Power BI / Tableau Microsoft Fabric Ecosystem Database Management Tools (DBeaver, SSMS, etc.) Machine Learning & Predictive Analytics Modelling is Advantageous Benefits Optical Assistance Life assurance and income protection Option to buy additional Annual Leave days Employee Assistance Program Referral Bonus Flexible working arrangements Benefits for you and your family Access to learning and development resources We promote a healthy work/life balance across the organization and offer an appealing working prospect for our people. #J-18808-Ljbffr