of the organisation's history and growth plans involves business acquisition which brings challenges in data centralisation. What will you need to succeed? Strong SQL skills (with a few years of applied experience). Experience with at least one BI/visualisation tool (e.g. Looker/Power BI/Tableau More ❯
experience in Data QA or a similar role with a strong focus on quality assurance of data and machine learning models. Strong experience with SQL and programming languages like Python or R for data analysis and pipeline development. Deep understanding of data modelling, data access, and data storage techniques. Familiarity More ❯
of AI-driven strategies across BIC operations. Identify opportunities for AI integration to enhance BIC research processes. Use advanced analytics tools (e.g., Python, R, SQL, Tableau, Power BI) to analyse, visualize, and interpret data. Support efforts to continuously innovate and improve analytical processes using ML, ensuring the delivery of high More ❯
Spring Boot etc.) Experience in designing and implementing REST APIs & micro services-based solutions. Should have experience writing unit/integration tests Experience writing SQL queries and good understanding of data model, python knowledge is a plus. Working knowledge in AWS cloud (EC2, ECS, Load Balancer, Security Group, EMR, Lambda More ❯
ABOUT YOU Minimum of 4-5 years within a Finance/Data Analytics role Fully qualified CIMA/ACCA/ACA Highly proficient in SQL (preferably PostgreSQL) Strong Power BI experience Proven experience in data modeling and building analytical tools from scratch. A natural curiosity to learn and a 'can More ❯
basis within data analysis and science through an additional MSc would be an advantage. Data Tools: Previous experience with tools such as Excel, R, SQL or Python are essential for this role. If you have utilised visualisation programmes such as Tableau or Power BI in projects before, we are also More ❯
Developer Duration - 6 months with likely extension Rate - £400 p/d (inside IR35) Location - Remote/Canary Wharf Tech Stack C# WPF Winforms SQL Oracle Tasks Tasks range from understanding business requirements, designing application structures, business data analysis, programming WPF (Windows Presentation Foundation) applications in Visual C#.NET on both … Oracle and SQL Server database, testing with users, implementation through Development, Quality Assurance (QA), Production and Disaster Recovery environments. Supporting users and writing operation documents including User Helps (manuals) will also be required. As well as application development, this role will also include all aspects of system constructions and support … Excel and Access, MS VB and MS Excel Macros will also be required. Additional Tasks Defining Database objects required in systems to connect with SQL and Oracle Database Administrators in both London and New York. Providing script for database inquiry languages, i.e., T-SQL (SQL Server) and PL/SQLMore ❯
years of data engineering experience, with a proven track record of designing, building, and maintaining scalable data pipelines and ETL processes. Proficiency in SQL and experience working with relational and non-relational databases (e.g. Snowflake, BigQuery, PostgreSQL, MySQL, MongoDB). Hands-on experience with big data technologies such as Apache More ❯
product, operations, and marketing decisions. Interfacing with other technology teams to extract, transform, and load data from a wide variety of data sources using SQL (Redshift, Oracle) and ability to use a programming and/or scripting language to process data for modeling. Evolve organization-wide Self-Service platforms. Building More ❯
experience in a data engineering or data management role, with at least 7 years of experience specifically in an AWS environment. Strong proficiency in SQL and experience with designing and maintaining data warehouses and data lakes. In-depth knowledge of AWS services such as EMR, Glue, Kinesis, and Redshift. Hands More ❯
Extensive experience with data visualisation tools like Tableau or Power BI, with proven ability to present data clearly to non-technical audiences. Proficiency in SQL and programming languages such as Python or R for data manipulation and analysis, ideally with expertise in Natural Language Processing (NLP). Exceptional problem-solving More ❯
including storage, data pipelines to ingest and transform data, and querying & reporting of analytical data. You've worked with technologies such as Python, Spark, SQL, Pyspark, PowerBI etc. You're a problem-solver, pragmatically exploring options and finding effective solutions. An understanding of how to design and build well-structuredMore ❯
drive performance. Your day involves: Prioritizing customer requests and delivering actionable insights through dashboards and data tools. Designing efficient data models and pipelines using SQL, Redshift, and AWS services. Building interactive dashboards with QuickSight or Tableau for real-time decision-making. Automating workflows and optimizing BI processes using Python, R More ❯
macros, charts and pivot tables). Knowledge of data visualization tools such as Quick Sight, Tableau, Power BI or other BI packages. Fluency in SQL and ETL. PREFERRED QUALIFICATIONS Knowledge of data modeling and data pipeline design. Masters degree in Business, Engineering, Statistics, Computer Science, Data Science, Mathematics or related More ❯
drive performance. Your day involves: Prioritizing customer requests and delivering actionable insights through dashboards and data tools. Designing efficient data models and pipelines using SQL, Redshift, and AWS services. Building interactive dashboards with QuickSight or Tableau for real-time decision-making. Automating workflows and optimizing BI processes using Python, R More ❯
for business strategy and product development Develop key performance metrics and create business review presentations using visualization tools Perform in-depth analysis using advanced SQL and Python programming Design and maintain data infrastructure, including ETL pipelines and cloud-based solutions Develop comprehensive documentation and training resources for self-service analytics More ❯
similar tools - Experience with data modeling, warehousing and building ETL pipelines - Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift - Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling - Experience developing and presenting recommendations of new More ❯
influencing stakeholders - Experience on defining requirements, creating business requirement document, understanding business process and using data and metrics to draw business insights - Proficiency in SQL, ETL management, Excel (including VBA, pivot tables, array functions, power pivots, etc.) and data visualisation tools such as Tableau experience PREFERRED QUALIFICATIONS - MBA or Master More ❯
Familiarity with networking protocols, firewalls, VPNs, and cybersecurity practices is a strong plus, especially in defence-related projects. • ??Database Knowledge: Skills in databases like SQL, NoSQL, or data analytics tool Together, as owners, let's turn meaningful insights into action. Life at CGI is rooted in ownership, teamwork, respect and More ❯
Familiarity with networking protocols, firewalls, VPNs, and cybersecurity practices is a strong plus, especially in defence-related projects. • ??Database Knowledge: Skills in databases like SQL, NoSQL, or data analytics tool Together, as owners, let's turn meaningful insights into action. Life at CGI is rooted in ownership, teamwork, respect and More ❯
systems. Contribute to a culture of results-driven collaboration, support and respect. What You'll Bring to the Role Approx. 8 years' experience using SQL or Python for data analysis, with about 3 years' experience in P&C insurance. A degree at BSc or MSc level in a Numerical field More ❯
Databricks and its ecosystem. Strong programming skills in Python, R, or Scala. Experience with big data technologies such as Apache Spark, Databricks. Knowledge of SQL and experience with relational databases. Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud). Strong analytical and problem-solving skills. Excellent communication and teamwork More ❯
skills required: Expertise in Python, Java, Scala, or other programming languages used to build data pipelines, implement data transformations, and automate data workflows. Strong SQL experience. Strong knowledge of data visualisation tools knowledge such as Power BI, Tableau, QlikView etc. Familiarity with technical data structures, data pipelines and data science More ❯
. Hands-on experience with modern data warehousing and transformation tool, Snowflake. Strong knowledge of data modelling, warehousing, and real-time analytics. Proficiency in SQL, Python, Java, or similar programming languages. Familiarity with big data technologies (e.g., Spark, Hadoop) and BI tools (e.g., Power BI, Tableau). Excellent problem-solving More ❯
experience in leading and managing a team of data engineers. Proficiency in programming languages such as PySpark, Python (with Pandas if no PySpark), T-SQL, and SparkSQL. Strong understanding of data modeling, ETL processes, and data warehousing concepts. Knowledge of CI/CD pipelines and version control (e.g., Git). More ❯
