Job Description & Summary
We are seeking a data analyst to be part of our dynamic and growing Technology Consulting practice. The role will include the support of end-to-end analytics engagements across diverse industry sectors and the design and implementation of data-driven solutions. You will have access to high-profile clients and contribute to meaningful projects, offering a clear path for career progression and skill and knowledge development. This role offers exciting opportunities for both technical and professional growth, as you help shape data-driven decision-making for a diverse portfolio of clients, ranging from established enterprises to innovative startups.
Embrace the possibility to apply – you don't need to meet every single requirement. We would love to hear from you
Join a Dynamic Team Driving Change
Our Technology Consulting team is part our wider Consulting and Advisory services, made up of both industry leads and subject matter experts driving change and innovation across this ever-growing department. Our consultants possess transferable skills and collaborate across various teams within the Consulting, Advisory department, applying expertise in project management, stakeholder management, communication and process improvement to drive impactful results.
As a Data Analyst, you will have the chance to work alongside industry-leading clients across diverse sectors and leverage your technical expertise and problem-solving abilities to deliver impactful data insights and solutions that drive measurable outcomes for clients. The role while being hybrid will require the candidate to be present on client site as required.
Roles and Responsibilities
* Developing, validating and transforming data to ensure quality and integrity for analysis.
* Creating impactful data visualisations and dashboards using tools like Power BI, Tableau or Excel to present key insights.
* Collaborating with clients to gather requirements, identify data sources and translate insights into actionable business recommendations.
* Contributing to the creation of technical documentation including design specifications and process workflows.
* Assist in developing innovative approaches to Analytics and Process Automation utilising tools such as Power Query, Power Automate and VBA to streamline operations.
* Actively participating in workshops and meetings to understand client needs and provide tailored solutions.
* Managing multiple workstreams while ensuring timely delivery of high-quality outputs.
* Supporting Business Development activities including creating proposals and identifying client opportunities.
* Staying updated on emerging trends in Data Analytics and continuously integrating new tools and techniques to enhance client solutions.
* Overseeing financial aspects of engagements including work in progress and budgeting.
* Attending initial meetings with prospective clients, supporting managers to establish strong relationships from the outset.
* Leading, mentoring and developing a team of data analysts, fostering an environment of collaboration and continuous improvement.
* Spearheading Business Development initiatives by identifying new opportunities, expanding our client portfolio and shaping growth strategies.
Skills and Experience
Education and Certifications
* Bachelor's Degree in a Quantitative field (e.g., Data Science, Statistics, Mathematics or Computer Science).
* A minimum 8 years of professional experience in Data Analysis.
* Proficiency in at least one Programming language such as SQL, R or Python.
Preferred Qualifications
* Additional certifications in Data Analytics, Data Science or Business Intelligence (e.g., Certified Analytics Professional, Microsoft Certified: Data Analyst Associate).
* Advanced degrees (Master's or Ph.D.) in Data Science, Statistics, Economics, Engineering or a related technical field.
Experience, Skills and Competencies
* Hands-on experience with Data Visualisation tools including PowerBI, Tableau and Excel Dashboarding (mandatory).
* Strong expertise in Data Validation, Cleansing, Remediation and Transformation to ensure data integrity.
* Extensive experience with Data Migration processes between systems and Data Source Identification.
* Proven experience in Data Consolidation, Database Management (e.g., SQL, Oracle, IBM DB2, Teradata) and Database Design.
* Expertise in creating Database Schema and managing Data Dictionaries.
* Significant experience with Machine Learning algorithms and frameworks for building predictive models.
* Familiarity with Big Data technologies and Cloud platforms (e.g., AWS, Azure).
* Proficiency in Microsoft stack including SharePoint, Teams, PowerApps, Power Query, Power Automate (MS Flow) and VBA for Process Automation.
* Knowledge of Data Warehousing concepts and experience with ETL (Extract, Transform and Load) processes.
* Experience using Agile Project Management tools such as Azure DevOps, JIRA or MS Project.
* Exceptional communication skills with the ability to convey complex analytical concepts to diverse audiences.
* Experience working in the Banking, Insurance, Asset Management, Healthcare, Life Science & Public Sector preferred.