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Business Data Analyst - Data Modelling 500-550 p/d OUTSIDE IR35 Hybrid - 1 day per week in London 6 months Requirements: Proven experience eliciting, validating and documenting business requirements for the purposes of data modellingExperience cross-checking and validating the completeness and readiness of data requirementsExperience analysing and validating business process models, state transition diagrams, and data usage patterns, especially as they relate to data modellingExperience working with data modellers, engineers, or architectsGood understanding of data modelling concepts, techniques (e.g., ER diagrams), and tools (e.g., Sparx, Visio, SQL)Ability to facilitate workshops, meetings, and discussions as needed to elicit, refine, enrich and validate data requirementsAbility to present data model proposals and gather feedback for optimisation as neededAbility to validate data models and structures by mapping them to business needsStrong communication and presentation skillsEffective stakeholder management skills5+ years of experience as a Business Analyst in data modelling or data-related projects Desirable: Experience working with a dynamic technology consultancyExcellent interpersonal, communication and presentation skillsExperience working in the public sectorBasic understanding of database systems, ETL processes, and data warehousesAwareness of data governance and regulatory compliance standards

Job Description Data Analyst - Holborn London Our Client is looking to recruit a Data Analyst with at least 5 years proven experience. As a Data Analyst you will ensure that all data is processed and quality assured so that it can be analysed through appropriate systems with a view to the production of reports that can assist the Client services and other stakeholders make effective decisions and support the assessment of indicators and other business intelligence processes.. Key responsibilities: Day to day implementation and overview of the business's data strategy to ensure that organisational data is systematised with a view to optimising business intelligence and decision-making. Clear knowledge of all the data sources within the organisation, including the CRM and other information systems, and ability to work on those sources either individually, together or identify new sources that can inform effective operation. Knowledge of all relevant procedures to ensure that optimal data is used, including the cleaning, analysis and processing of data. Putting in place effective and robust systems of quality to ensure the highest integrity of data. Working with the IT department on data analysis, including developing key formulas, working with APIs and data mining, particularly through appropriate relational and other data bases, with a view to extracting the information that is needed for the growth of the organisation. Enabling the effective and accurate production of all reports, visuals, dashboards and other outputs to allow different parts of the organisation to make better individual and collective decisions. Facilitating the transformation of data to information and knowledge, and helping the different parts of the organisation to share such information and knowledge so as to maximise collaboration and the aims of the organisation. Supporting business intelligence so that the decisions are underpinned by key, effective and relevant data. Enabling the organisation to measure key performance and other indicators and score carding, and contributing to the development of metric and indicator-based systems that allow for integration and a system of continuous improvement. Collaborating with all departments including the IT department, education and training, marketing and policy and research on data usage. Minimising all data risks, security breaches, financial and other risks and working with relevant services to ensure that data is handled in a way that is compliant with relevant legislation and other frameworks. Furthering a data culture that enables the organisation to meet the needs of its stakeholders, both nationally and internationally, including its members. The following skills are Essential: Relevant higher education qualification in data analysis, including programming languages such as Python and SQL. Substantial experience working in data analysis within an organisational setting. Excellent problem solving, analytical and business intelligence skills, especially working with large datasets. Excellent written and verbal communication skills in the English language. Ability to manage multiple projects adhering to logistics, timescales and deadlines. IT literate and experience of using MS Dynamics and Office (including Word, Excel and Outlook). Experience of using visualisation tools such as PowerBI. The Client is based in Holborn London. The salary for this role will be in the range £40K - £45K. Do send your CV to us in Word format and include your salary availability.

Job Description Senior Data Analyst Our Client is Venture Capital firm based in London. We invest in early-stage businesses with strong growth potential and have been lucky enough to back some amazing entrepreneurs. They are looking for someone who loves data, and data software, to help maintain and develop its data and reporting efforts - must have at least 5 to 7 years proven track record of working with Data and Excel. This is a unique opportunity with a leading Venture Capital Fund to use your technical and organisational skills to support some of the leading European technology companies. Your responsibilities would include: Reporting: - Investor Statements Monitoring valuations for early stage, private businesses Creating processes to ensure data is up to date, complete and accurate Investment data collection: Building and maintaining connections between data sets, including financials, notes, PDFs and excel data sets Keeping internal investment and co-investment data up to date Supporting the investment team with answering data requests Developing new solutions for data capture and management Helping analyse new investment opportunities with data provided in market research and data rooms The Company are a small team, so are looking for someone that is proactive and willing to roll up their sleeves and get stuck in. In particular, we are looking for someone who: - Is passionate about start ups - Has a strong grasp of data sources - Has a good eye for detail - Has strong numeric ability and enjoys reconciliations - Has a strong work ethic and enjoys multi-tasking - Is experienced in designing internal process and reports - Is experienced in implementing and maintaining data systems - Has strong communication skills, with the ability to extract, structure and share data for internal reporting and queries. - Is personable and energetic - Takes pride in their work and enjoys seeing tasks through to completion - Can work independently as well as part of a team - Is good at meeting deadlines and prioritising work - Has experience in online data capture platforms such as Airtable - Has experience in building macros in excel would be an ideal The Company is based in Central London. The salary for this role will be in the range £60K - £80K. Do send your CV to us in Word format along with your salary and availability.

Job Description Database Engineer with SQL Server and SSIS Our Client is a bank based in Central London who are looking to recruit a Database Engineer with the ability to work with SSIS. You must have solid expertise of at least 5 years experience of working with MS SQL Server and SSIS - SSIS is very important for this position. Responsible for the development and delivery of new systems to automate and streamline processes required by different departments. To support the internal IT department with changes and upgrades to software platforms. To be primary contact for all technical questions relating to in-house bespoke systems and interfacing. Database Support Supporting budgeting and financial planning processes for Finance department, including loading and refreshing of data based on requirements. Understand and conduct the front-end functionality to amend and change hierarchical structures within the environment. Debug and analyse errors and anomalies within Hyperion system as raised by Finance and to pinpoint areas of failure and correct any issues. Liaise with Finance on a daily basis to ensure smooth running of the Hyperion environment. Build data flows within the SQL environment in SSIS packages. Risk & Regulatory Duties Maintain knowledge of all applicable regulatory requirements including the Bank's Risk and Compliance policies and procedures and adhere to these to avoid exposing the Bank to undue risk. Report policy/procedure breaches and areas of potential non-compliance and suspicions promptly upon identification in accordance with the Bank's Risk and Compliance policies. Accurately execute all controls within own area to minimise risk of policy, procedure, and/or regulatory breaches. Identify new risks/control gaps within own area and escalate accordingly to your Line Manager and/or Head of Department. Qualifications/Experience Degree level qualified or equivalent. SQL Programming. Knowledge and Skills Software analysis and design. SQL query language. Data warehouse design concepts, (Inmon or Kimball) Must have solid experience of working with SSIS and building data warehouses and some knowledge of reporting using SSRS. The Client is a Bank based in the Central London. This is a 12 month FTC position with a salary of circa £55K - £70K. You will be required to be in the office at least 3 days week. Do send your CV to us in Word format along with your salary and availability.

We are AMS, a global total workforce solutions firm enabling organisations to thrive in an age of constant change by building, re-shaping, and optimising workforces. Our Contingent Workforce Solutions (CWS) service acts as an extension of our clients' recruitment team and provides professional interim solutions and temporary resources. Job description - the role Our client, Deutsche Bank, is a global banking business with strong roots in Germany and operations in over 70 countries. Their large but focused footprint gives them an established position in Europe plus a significant presence in the Americas and Asia Pacific. Deutsche Bank offer their clients commercial and investment banking, retail banking and transaction banking as well as ground-breaking asset and wealth management products and services. On behalf of Deutsche Bank, AMS are now looking for a Data Analytics Engineer to work in their Corporate Bank Data team based in London on a PAYE basis. Key responsibilities: Evaluating Corporate Bank's "Data Platform" solution, including group provisioned components versus Corporate Bank developed components. Developing application services and components required by the "Data Platform" for Data Management capabilities, including lineage, controls and metadata management. Contribution and oversight of features and associated code committed to both our in-house developed software as well as market leading open-source software. Cultivating effective and collaborative relationships with business and technology partners including Product Managers, CIO's, Architects and Engineering teams. Designing, presenting and communicating technical solution architectures, including associated artifacts, that address specific business need or opportunity. Management of development roadmaps and associated engineering milestones for one or more solutions within the Data tribe and EDM initiative Triage and resolution of design and implementation roadblocks including people, process and technology constraints. Educating and communicating across organisational silos the benefits of established solutions, including promotion of re-use where appropriate. Supporting talent development within the architecture and engineering professions though talks, learning bites and mentoring activities. Ambassador for Deutsche Bank and our technology division at internal and external events, forums and guilds. Identifying and reviewing technologies that can be used to improve our Technology Services and Products. Managing data, technology and security risks, supporting compliance with associated regulatory requirements. Skills and Qualifications: Experience with Relational and non-relational data systems, including graph databases. Data analytics experience using SQL / Java / Python / graph databases. Requirements gathering and solution design. Visualization techniques and implementation. Aggregating data from multiple disparate sources and normalizing ready for processing. Experience with cloud service providers including GCP and Microsoft Azure. About the client Deutsche Bank's Values: Our values define the working environment we strive to create - diverse, supportive and welcoming of different views. We embrace a culture reflecting a variety of perspectives, insights and backgrounds to drive innovation. We build talented and diverse teams to drive business results and encourage our people to develop to their full potential. Talk to us about flexible work arrangements and other initiatives we offer. We promote good working relationships and encourage high standards of conduct and work performance. We welcome applications from talented people from all cultures, countries, races, genders, sexual orientations, disabilities, beliefs, and generations and are committed to providing a working environment free from harassment, discrimination and retaliation. Please note that for the duration of this assignment you will be working as an external resource engaged by AMS based on site at Deutsche Bank. AMS's payroll service is in partnership with Giant, we have worked with them for many years and have good processes in place to ensure you get the best service. If you are successful in your application for this role, your contract will be via Giant.