2 of 2 Permanent Graduate Data Analyst Jobs in Manchester

My client is a large PLC organisation based near Manchester who have an exciting opportunity for a recent graduate to join their analytical team. This is an ideal opportunity if you have graduated recently (2018 and 2019 graduates only) with a numerical related degree and are looking to develop your career in an analytical field. This role offers a … fantastic opportunity for a self-motivated, highly numerate graduate to make a significant difference within a well-established and rapidly growing organisation. Your day to day will consist of . Proactively and collaboratively develop Analysis and Insight to support Operations report making to help deliver optimal management decisions Identify, quantify and prioritise opportunities to enhance operational efficiency and produce … Pivot Tables and V-Lookups Working knowledge of one or more of the following: SQL, R, Python, C++, Java Clear, logical analytical approach to problem-solving Ability to investigate data, find trends, forecast performance and provide insightful recommendations It's a bonus if you have! Previous experience presenting information to key stake holders Proficient use of VBA's Knowledge More ❯

Graduate Data Analyst Department: Business Advisory Employment Type: Permanent Location: Manchester Reporting To: Sorina Gheorghita Description We are seeking a highly analytical and detail-oriented Data Analyst to join our Transaction Services team. If you enjoy using data to reach insights or are passionate about a career in M&A, this role may be … suitable for you! You will be supporting the transaction services team to transform complex data sets into insights for deals, helping to evaluate financial performance, identify trends and assess risk and value drivers. Key Responsibilities What your day to day may look like Collect, clean, and validate large financial and operational datasets from target companies and clients. Assist in … identifying anomalies, inconsistencies, or red flags in data. Design and build data models to support due diligence analysis. Perform quantitative analysis to assess historical performance through the key metrics of the target companies. Develop dashboards and visualizations to drive insights. Help to prepare client deliverables such as visuals to include in reports. Automate routine data extraction and reporting More ❯