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Data Engineer
4 months ago
Wells & Co - Bedford based craft brewery, a well-established Pub Partner estate, 30 managed pubs, English pubs in France and 140+ years of history, so far To support our exciting adventure and growth plans for 2024 we have a newly created role of Data Analyst.
As a Data Engineer you will lead relationships with operational areas and work closely with our finance department to proactively identify opportunities to improve the business performance.
You will utilise your analytical expertise to discover the insights that change the status quo and accelerate the growth of Wells & Co exponentially and foster a culture of data driven innovation and evidence-based decision making.
The Role:
Active input into Wells & Co. Data and Reporting StrategyCoach all areas of the business to develop an ethos of high-quality input data = high quality output reportingCreation and ongoing maintenance of SQL and DAX queriesEnsuring daily, weekly, monthly reporting packs are delivered to schedule and available at agreed times with business ownersDevelopment and ongoing maintenance of Data Warehouse, OLAP cubesWorking with other business functions to identify and remove inefficiencies in existing tasksMonitor accuracy of data ensuring education of business line users to correct source dataCoach and knowledge share data reporting and analytics methodologies / technologies to Finance colleaguesDocumentation of Wells & Co data and reporting landscape, models and mapsOther tasks and duties as required
What we are looking for: Academic degree in Computer Science, Engineering, Quantitative disciplines Statistics / Mathematics / EconomicsAt least 3 years of relevant working experience as a Data Analyst in a closely related role and relevant industryGood programming skills in Python and/or R, including common Data Science toolkits & packages.Excellent SQL and DAX query knowledge.Experience with JET Analytics & JET Reports (Desirable)Previous experience with cloud platforms (e.g., MS Azure) in scaling analytical products in generalExcellent experience in working with Business Intelligence tools, preferably Microsoft PowerBI.Excellent command of techniques used in each stage of Data Science workflow: ETL, EDA, feature engineering, modelling, evaluation of learning algorithms.Awareness/Understanding of Machine Learning algorithms for classification & regression.Excellent Communication skills and a good command of Data Visualization concepts and techniquesTeam working (cross-functional & IT team)In return you will receive:
Competitive salary based on experience 25 days annual leave + bank holidays Private medical health care Group personal pension plan Life assurance 30% off dining and beer It's a fascinating field that combines data analysis with the unique dynamics of the hospitality industry, so if you tick all the boxes, we'd love to hear from you