Are you a business? Hire systems analyst candidates in United Kingdom
Summary: Are you passionate about uncovering insights hidden within data? We're looking for a Data Analyst to join our team and play a key role in driving data-driven decisions. You'll be responsible for collecting, processing, and analyzing complex datasets to identify trends, patterns, and opportunities that will help our organization achieve its strategic goals. Your work will directly influence business outcomes by providing actionable intelligence to stakeholders across the company. Responsibilities: Collect data from various sources, including databases, APIs, and other systems. Clean and prepare data for analysis, ensuring accuracy and consistency. Analyze data using statistical methods and tools (e.g., SQL, Excel, Python, R) to identify key trends, patterns, and anomalies. Develop and maintain reports, dashboards, and data visualizations to communicate findings to technical and non-technical audiences. Collaborate with cross-functional teams (e.g., marketing, sales, operations) to understand their data needs and provide analytical support. Identify opportunities to improve data collection, processing, and analysis methodologies. Document data analysis processes and findings to ensure reproducibility and knowledge sharing. Stay up-to-date with the latest trends and technologies in data analysis. Qualifications: Bachelor's degree in a quantitative field (e.g., Statistics, Mathematics, Economics, Computer Science) or equivalent experience. Proven experience as a Data Analyst or in a similar role. Strong proficiency in SQL for data extraction and manipulation. Excellent skills in Excel for data analysis and reporting. Experience with data visualization tools (e.g., Tableau, Power BI) is highly desirable. Familiarity with programming languages such as Python or R for statistical analysis is a plus. Solid understanding of statistical concepts and methods. Strong analytical and problem-solving skills with a keen attention to detail. Excellent communication and presentation skills, with the ability to convey complex information clearly and concisely. Ability to work independently and collaboratively in a fast-paced environment. Job Description: Computer analysts and scientists research, design, develop, and optimize computer systems, algorithms, and software. They analyze computing needs, explore emerging technologies like AI, machine learning, and big data, and develop innovative solutions to complex computing problems. They may also work in theoretical research or applied computer science across various industries. Job Description: Data architects design and manage an organization’s data infrastructure. They create data models, define data standards, and ensure data systems are structured to support business processes, analytics, and decision-making. They establish policies for data integration, storage, and security, often collaborating with engineers and analysts. Data engineers build and maintain data pipelines and architectures that allow organizations to collect, process, and analyze large sets of data. They work on database management, ETL (Extract, Transform, Load) processes, data warehouses, and big data platforms, ensuring data is reliable, accessible, and efficiently processed for analysts and business use. IT systems architects design and implement the overall structure of IT systems within an organization. They ensure systems are scalable, secure, and aligned with business goals. They create technical blueprints, integrate hardware and software components, and evaluate new technologies to optimize IT operations. IT business analysts act as a bridge between business needs and IT solutions. They gather and analyze business requirements, assess existing systems, and recommend IT solutions that improve efficiency and meet organizational objectives. They also support testing, documentation, and change management during system implementations. IT solutions architects and designers focus on creating technical solutions tailored to specific business needs. They design software, applications, or system integrations, ensuring compatibility, scalability, and compliance. Their work involves selecting technologies, defining frameworks, and guiding development teams through solution implementation. This category covers IT specialists whose roles combine aspects of business analysis, architecture, and systems design but don’t fit neatly into standard classifications. They may work on hybrid projects, such as digital transformation, enterprise integration, or custom IT strategy, often requiring a mix of technical, analytical, and business expertise.
Job Overview We are seeking a skilled Data Engineer to join our dynamic team. The ideal candidate will be responsible for designing, constructing, and maintaining scalable data pipelines and architectures. You will work closely with data scientists and analysts to ensure the efficient flow of data across various platforms and systems, enabling insightful analysis and decision-making. We are looking for a Data Engineer to join our growing Data and Analytics team. This is ideal for someone with a solid foundation in data engineering who wants to develop deeper skills in Azure Databricks and Microsoft Fabric. You will play a key role in developing and maintaining modern data pipelines, shaping the meta data driver architecture, and building high-quality data models that power reporting and advanced analytics across the business. Duties • Develop and maintain robust data pipelines using technologies such as AWS, Hadoop, and Spark., • Design and implement database solutions for both structured and unstructured data using Oracle and Microsoft SQL Server., • Collaborate with cross-functional teams to understand data requirements and translate them into technical specifications., • Perform data modelling and database design to optimise performance and scalability., • Conduct data analysis to identify trends, patterns, and anomalies in large datasets., • Utilise programming languages such as Python and Java for data manipulation and transformation tasks., • Implement ETL processes using tools like Informatica to ensure seamless data integration., • Write efficient SQL queries for data retrieval, reporting, and analysis., • Create documentation for data processes, workflows, and system architecture., • Employ shell scripting (Bash) for automation of routine tasks., • Build and maintain scalable data pipelines in Azure Databricks and Microsoft Fabric using PySpark and Python, • Support the meta driven architecture (raw, enriched, curated layers) to ensure a clean separation of raw, refined, and curated data, • Design and implement dimensional models such as star schemas and slowly changing dimensions, • Work closely with analysts, governance, and engineering teams to translate business requirements into data solutions, • Apply data governance and lineage principles to ensure documentation, traceability, and quality, • Proven experience in a Data Engineering role or similar position., • Strong knowledge of big data technologies including Hadoop, Apache Hive, and Spark., • Proficiency in programming languages such as Python, Java, VBA, and shell scripting (Bash)., • Experience with database design principles and management of relational databases (Oracle, Microsoft SQL Server)., • Familiarity with data warehousing concepts and best practices., • Excellent analytical skills with the ability to interpret complex datasets effectively., • Strong problem-solving abilities coupled with attention to detail., • Ability to work collaboratively in a team environment while also being self-motivated. If you are passionate about working with data and have the skills required to thrive in this role, we encourage you to apply. Join us in driving our data initiatives forward!, • Familiarity with Agile delivery principles, • Interest in gaining the Microsoft Fabric Data Engineer certification (supported by the business), • Strong SQL and Python skills with hands-on experience in PySpark, • Exposure to Azure Databricks, Microsoft Fabric, or similar cloud data platforms, • Understanding of Delta Lake, Git, and CI/CD workflows, • Experience with relational data modelling and dimensional modelling, • Awareness of data governance tools such as Purview or Unity Catalog, • Excellent analytical and problem-solving ability with strong attention to detail