Assist in building and refining financial models for business planning and investment analysis
Support scenario analysis and sensitivity testing across SPV and business unit performance
Help prepare monthly reports, financial forecasts and rolling budgets
Conduct market and benchmark research to support financial assumptions
Work in Excel and, where appropriate, tools such as Google Sheets, Power BI or Python for finance
Collaborate with legal and operations teams to understand cost drivers and funding models
Document models with clear assumptions and methodologies
Training:Why choose our Data Analyst apprenticeship?
QA's Data Analyst Level 4 apprenticeship develops the skills needed to collect, organise and study data to provide valuable business insight.
The principles of data analytics are being applied across just about every industry. Using past-event data, analysts are making important insight-based business decisions and driving customer value across every team and function, including operations, finance, sales and marketing.
At QA we have deep-rooted expertise in Data, Analytics and AI. Our solutions transform the way that individuals use data and enable organisations to make more data-driven business decisions.
QA's Data Analyst Level 4 apprenticeship programme enables your organisation to:
Build the skills and capabilities you need throughout your organisation to analyse, interrogate and present technical data, providing informed and valuable business insights to a range of stakeholders.
Upskill or reskill your existing workforce with data skills and create analysts for the modern day workplace.
Recruit and harness a new talent pathway: QA can help you cost-effectively recruit diverse, ambitious talent into your business and help you build a pipeline of data literacy talent.
Delivered by industry experts with real-world experience, the programme’s content has been designed around real-life skills and includes the additional PL-300 Microsoft Power BI Data Analyst certification (see below). The technical content aligns to and is relevant to employers and the market.
Upon successful completion, learners will be awarded the Data Analyst Level 4 apprenticeship.
Tools and technologies learned:
Learners will learn to use visualisation tools such as (PowerBI, Tableau), SQL Server, SSIS, Python and R programming languages, and Cloud Technologies such as: Azure, AWS, GCP.Training Outcome:Potential for a permanent position following the successful completion of your apprenticeship.Employer Description:Heirloom Fair Legal is a provider of legal financing focused on UK individual and small business consumer protection claims. We use data and technology to bring efficiency, quality, and risk mitigation to legal finance operations. Backed by a family office and a strong internal capital base, our team has over 20 years of experience in legal, technology, and finance.Working Hours :Monday to Friday, 9am - 6pm.Skills: Attention to detail,Problem solving skills....Read more...
Data Engineer - Leading Pharmaceutical Company - Manchester (Tech Stack: Data Engineer, Databricks, Python, Power BI, Azure, TSQL, ETL, Agile Methodologies) About the Role: We are seeking a talented and experienced Data Engineer on behalf of our client, a leading Software House. This is a fully remote position, offering the opportunity to work with cutting-edge technologies and contribute to exciting projects in a collaborative environment. About the Role: Our client is seeking an experienced Data Engineer to join their team in Manchester. This hybrid position involves working within the pharmaceutical industry, focusing on the design, development, and maintenance of data pipelines, ETL processes, and databases. The role is ideal for someone passionate about improving processes, ensuring data quality, and maintaining compliance with regulatory standards. focusing on designing, developing, and maintaining data pipelines, ETL processes, and databases. If you are passionate about driving continuous improvement and ensuring data quality and compliance, we want to hear from you. Key Responsibilities:Design, develop, maintain, and optimise data pipelines, ETL processes, and databases.Drive continuous improvement by refining processes, products, and identifying new tools, standards, and practices.Collaborate with teams across the business to define solutions, requirements, and testing approaches.Assist with process definition, ensuring compliance with organisational processes and regulatory standards.Ensure compliance with regulatory requirements and standards and audit readiness.Automate and monitor data and data processes, ensuring data quality and integrity.Share knowledge and provide guidance on databases and data.Maintain up-to-date, accurate, and concise documentation of database configurations and processes.Work across the team to deliver best practice infrastructure and infrastructure deployment and management processes.Essential Skills/Experience: A good degree in a relevant subject or equivalent professional experience in a data role.At least 3 years’ professional experience developing data pipelines and ETLs using Microsoft products.Minimum 1 year of experience working with cloud-native technologies like Azure Data Factory.Demonstrable experience of delivering technical work within time and budget constraints.Good understanding of data security best practices.Experience in supporting ETLs or data pipelines crucial to a production system.Experience working in a cross-functional team to deliver technical solutions. Desirable Skills: Experience with SQL Server, SSIS, Azure Data Factory, and Azure SQL.Experience with Cloud and Infrastructure as Code, particularly in an Azure setting using Bicep.Understanding of DevOps practices and the associated benefits.Skill in database testing including unit, performance, stress, and security testing.Experience working in an agile team.Experience working in a highly regulated industry and with highly sensitive data.Exposure to large data solutions like Snowflake, Trino, Synapse, Azure Data Lake, and Databricks.Experience in data science using R, Stata, or Python.Familiarity with Atlassian tools such as JIRA, Confluence, and BitBucket.Understanding of clinical trials, GCP, and GxP. What We Offer: Hybrid working model with flexibility between remote and office-based work.Competitive salary and benefits package.Opportunity to work on innovative projects within the pharmaceutical industry.Collaborative and supportive work environment.Professional development and career growth opportunities.Location: Remote Working UK Salary: £45,000 – £55,000 + Bonus + Pension + Benefits Applicants must be based in the UK and have the right to work in the UK even though remote work is available. To apply for this position please send your CV to Rishi Chudasama at Noir. NOIRUKTECHREC NOIRUKREC....Read more...
