Average Data Analyst salary in the UK

Job Title: Technical Data Analyst Location: Hybrid (2-3 days per week in office - Farnborough) Salary: Competitive Working Hours: Full Time Key Responsibilities: Assessment of data workflows & interfaces status quo, comparing them vs industry best practices & automating ETL processes where feasible. Core development skillsets are required, with particular focus on SQL, Microsoft SQL, Integration Services & Python.Development & reporting services for business-critical daily, weekly & monthly performance management figures. Completeness & accuracy a must.Ability to work on own initiative without direct supervision with a high commitment for delivery and quality.Project co-ordination with key stakeholders to ensure communication & transparency. Establishment of regular alignment meetings.Proposal of improvements for interface ecosystem standardization & database processes optimisation. Document all business requirements for a successful interface ecosystem maintenance & improvement.Previous experience of cloud data migration or Kafka event store/streaming technology would be a nice to have for future implementations. About you: Professional experience: Ideal candidate would have experience in: Data & complex process analysis using SQLPython programming for automationBusiness intelligence implementation i.e. PowerBI & Amazon QuickSightProcess automation i.e. Python Education: Bachelor degree in STEM or related preferred Language skills: English (native level C2) Benefits: Competitive SalaryBonus incentive25 days annual leave (plus Bank Holidays)Pension PlanPrivate InsuranceCash back health care schemePotential to progress within the company, with global opportunities updated regularly Please click on the APPLY button to send your CV and Cover Letter for this role. Candidates with the experience or relevant job titles of; Data Scientist, Data Solutions analyst, Business Insight Analyst, Data Insight Analyst, Data modelling, Statistician, and Data Modelling will be considered for this role.

We are the internal recruitment partner for our client, a well-established independent banking and financial services group and are presenting an exciting opportunity for a Credit Data Analyst to join the team in Basingstoke. The successful candidate will support the Structured Finance Credit Team and wider Structured Finance Team in monitoring its Structured Finance Portfolio by collecting, analysing, interpreting, and assessing financial and non-financial data in line with banks risk appetite, policy and criteria. Responsibilities: Collect, clean, and validate data from multiple internal and external sourcesReconcile and analyse datasets to identify trends, patterns, insights, discrepancies and variancesAnalyse audited accounts, management information, forecast cashflow, budget plans and open banking dataMonitor financial and non-financial covenants set for customers and provide information on any non-compliance to the Head of Structured Finance CreditCollaborate with cross-functional teams (e.g., Finance, Sales, Operations) to understand business requirements and deliver actionable insightsSupport A/B testing, cohort analysis, segmentation, and forecasting activitiesIdentify opportunities to automate data collection and reporting processesEnsure data accuracy, integrity, and compliance with privacy regulations Requirements Experience in data analysis or similar roleSound understanding of financial statements, cashflow forecasting and key ratiosSQL skills (e.g., querying, data extraction, transformations)Proficiency in data visualisation tools (e.g., Tableau, Power BI)Solid understanding of statistical techniques and data modellingCritical thinking and problem-solving skillsExcellent verbal and written communication skillsExperience of working within the financial services sector / understanding the concepts of lending would be preferredAbility to work under pressure and to tight deadlinesPlanning and organisational skills Benefits A salary of £40,000 - £50,000 dependent on knowledge and experience25 days annual leave plus bank holidaysDiscretionary bonus schemePension contributions 4% employer, 5% employeeEmployee Assistance Programme Death in service x4 annual salaryVarious wellbeing and social events throughout the year

Data Analyst We’re a friendly, dynamic and growing business looking for a new colleague to join our Data Team. Marley is at the forefront of innovation in the UK Structural Warranty Insurance sector, where we provide claims management and loss adjusting services to insurer clients and our customers who may be experiencing a defect with their home. Established in 2013, we have offices in Shrewsbury, London and Cheltenham and are going through a period of growth to meet the needs of our expanding client base and development of new services. The postholder will be responsible for analysing, interpreting and reporting on management information data to identify trends, provide insight and assist senior management in key decision-making processes. Job Location: The position will be based in our Cheltenham Office Job Type: Full-time (Mon-Fri) Key Activities: Produce and analyse large monthly data sets for multiple clients, creating regular reporting based on their requirementsDriving data led decision making across the business, working with stakeholders to help them understand how data can assist them as part of the overall data strategy for the business.Complete complex ad hoc data analysis requests for clients.Proven experience interacting directly with stakeholders at all levels, presenting data and communicating complex technical concepts clearly to non-technical audiences.Support the Underwriting and Claims Handling teams with relevant data and expert analysis as required.Play a key role in influencing and streamlining claims handling and underwriting processes, operational spend and client outcomes.Identify data issues and proactively seek appropriate resolutions.Actively participate in team discussions to highlight issues and promote group learning and deliver projects.Perform other tasks as reasonably required by Senior Management. Skills and Experience: Proven track record in data analysis within the insurance industry, with emphasis on analytic functions in insurance underwriting or statistical disciplinesMust be detail oriented, skilled in problem solving and experience of insurance underwriting concepts and rating tools is preferable.Strong numerical and analytical skills. Able to effect interpret, analyse and report on complex data sets with an ability to conduct, interpret and communicate qualitative/quantitative analysisStrong data analysis skills with an ability to understand, visualise and trend large datasets to formulate evidence-based hypotheses and communicate findings to stakeholders.Experience with power BI - creating and publishing dashboards, data transformation and visual conformity.Advanced excel skills - proficiency with functions, look up, index match, pivot tables and visualisationsData science and predictive modelling - Skills in using techniques to model past data for future predictions and understanding drivers of trends and patterns is preferableStrong verbal and written communication skills.Ability to work collaboratively within a team to deliver projects and share knowledge and expertise.Able to quickly build positive and effective relationships with internal and external stakeholders.Prior experience working as part of a data team is preferred.Confident working independently under instruction.We prefer candidates with a degree, apprenticeship or diploma in a numerical discipline such as Mathematics, Statistics or Data Science.Bachelor’s degree (preferred), with GCSE English Language grade 5/C or equivalent. Benefits: Generous company pension.Cycle to work scheme.Tech scheme.Life Insurance (following successful completion of probationary period).Private Medical Insurance (following successful completion of probationary period).Flexible working.EV charging points (where available).Employee Assistance Programme.Free gym membership.