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Summary of the role We are looking for an experienced data business analyst to work as the bridge between business, data and technology to bring data to life in ways that directly impact our business. At Howden, we value diversity - there is no one Howden type. If you're excited by this role but have some doubts about whether it's the right fit for you, send us your application - if your profile fits the role's criteria, we will be in touch to assist in helping to get you set up with any reasonable adjustments you may require.

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Experience with git, BigQuery, DBT, Stripe Sigma would all be useful Experience in lending or payments would be prized Able to take ownership and manage projects to the end Skills and Specifications Excellent communication and writing skills Fluent in English Organised, meticulous and great time management Able to communicate complex analysis to non-data savvy business users Ability to deliver on tight deadlines Able to grasp commercial concepts quickly and carry out analysis independently Flexibility is a must. Benefits Competitive salary Employee share options £2,000 per annual CPD package to be used at your discretion Full kit for home office Health insurance and life assurance (including dental and optical) Company trips 24 days holiday annually, plus a day off on your birthday Extended parental leave Contributing pension scheme We are considering applicants for our London office or fully remote from anywhere GMT +/- 3.

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Long Description Job Title: Data and Process Analyst Salary: Starting from £38,000 plus and excellent benefits package Location: Milton Keynes - Hybrid working 12 Month Fixed Term Contract • Hybrid working • Enhanced parental leave • Eligibility to annual bonus scheme • Access to a fantastic loan car scheme • 25 days annual leave plus bank holidays • Competitive pension • 4x basic salary life assurance Why our services department? • Team Player - understands the importance of a united team approach, and relishes the opportunity to share, learn and support. If you are successful at that stage, you will be invited to have a conversation with the hiring manager. We want our colleagues to feel proud and happy to work for us, no matter where they are from or who they are, and we strive to achieve an inclusive and family-friendly environment for everyone.

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We believe that the future of financial services will be delivered by customer-oriented tech companies that embed financing in their customer journeys, and we are building the solutions that will power that future. Award-Winning Workplace: YouLend has been recognised as one of the "Best Places to Work 2024" by the Sunday Times for being a supportive, diverse, and rewarding workplace. Our hiring, transfer, and promotion decisions are exclusively based on qualifications, merit, and business requirements, free from any discrimination based on race, gender, age, disability, religion, nationality, or any other protected basis under applicable law.

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- About the role This is a fantastic opportunity to take a leading role in the Master Data Centre of Excellence during an exciting period of expansion - the team is set to grow in the coming months as we migrate new activity into the team. However, we support colleagues in the USA with master data activity and therefore there will be a requirement to work up to 3 late shifts per month (on a rota basis) from 3pm until 11pm UK time, however this shift will be worked from home.

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Summary of the role We are looking for an experienced data business analyst to work as the bridge between business, data and technology to bring data to life in ways that directly impact our business. At Howden, we value diversity - there is no one Howden type. If you're excited by this role but have some doubts about whether it's the right fit for you, send us your application - if your profile fits the role's criteria, we will be in touch to assist in helping to get you set up with any reasonable adjustments you may require.

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Let's Get Down To Business Reporting to the Head of Data Analytics Europe, you will work with business owners to review commercial objectives and the commercial investment decisions they give rise to, to formulate the insights that can deliver most value, and build models and tools to help the commercial community make faster and better decisions with a high level of confidence. regression modeling, machine learning, AI) applied in FMCG Be well-versed in advanced analytics techniques and tools such as Power BI, Power Pivot, Python, R etc Experience with Trade Investment and Promotional Management tools and systems (TPM/TPO) Excellent analytical and data-driven decision-making skills, with the ability to translate insights into actionable strategies. We do all we can to create a collaborative and diverse global team, where good ideas can thrive, and our colleagues can learn and lead.

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A pioneer in the field, FlexTrade is internationally recognized for introducing FlexTRADER®, the world's first broker-neutral, execution management trading system, which allows clients to completely control and customize their execution workflows through a comprehensive ability to search/access liquidity while maintaining the confidentiality of their trading strategies. Job Summary We are looking for capable and talented database administrators who are passionate about technology to work on FlexTrade's OEMS platform, FlexONE, which is our state-of-the-art, fully integrated Order Management System and Execution Management System. 7 or 8. conducts a pre-employment screening which consists of a Criminal History, Background and Credit Check for successful candidates.

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We are seeking Mid-level Data Test Automation Engineers who are interested in AMP products, want to make a difference to them and to Apple as a whole, improving the data quality, and learn ASE ground breaking tools and technologies. Carry out data profiling and understand schema, data interrelationships, and data flows using SparkSQL, Jupyter Document test plans, writing test case automation and working closely with other teams (engineering, project management, etc. Experience with Big Data query tools Experience with near real-time (NRT) and Batch data pipelines Experience black box testing Experience Client-Server products Knowledge in Data Quality, Data Profiling and Data Integration tools.

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