Data Analyst

Job Title: Data Analyst Location: London (SOHO - 2 Days a week onsite) Salary: £35,000 - £40,000 Overview: The Client is a Software specialist growth equity firm with offices in London and Boston. Who partners with rapidly growing software start-ups that are thriving off lower external funding. The firm brings capital for growth initiatives and shareholder liquidity and highly relevant operational expertise. Job Summary: They are seeking a skilled and analytical Data Analyst to join the team. The ideal candidate will have a strong understanding of data analytics, and statistical methods, and the ability to interpret complex data sets. Along with a strong STEM background / Degree from a Redbrick University! This role will involve analysing trends, creating insightful reports, and providing recommendations to drive data-driven decisions and optimise business performance. Key Responsibilities: Data Collection & Analysis: Gather, process, and analyse large sets of data from various sources, ensuring data accuracy and integrity. Data Quality Assurance: Identify, troubleshoot, and resolve data discrepancies and quality issues. Reporting & Insights: Present findings to stakeholders through reports and presentations, translating data insights into business actions. Collaboration: Work with cross-functional teams (finance, operations) to understand data needs, and provide analytical support to drive key projects and initiatives. Predictive Analysis: Utilise statistical techniques and predictive models to forecast future trends and outcomes. Documentation: Maintain and update documentation for processes, analyses, and data sources. Requirements: Education: Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, or a related field. (ideally from Redbrick University) Experience: Could be open to Graduate up to 4 years of experience as Data Analyst Technical Skills: Proficiency in SQL for data extraction and manipulation. Strong skills in Excel, and experience with statistical tools like R or Python is a plus. Familiarity with data warehousing and ETL processes. Analytical Skills: Ability to analyse complex data sets, identify patterns, and draw actionable insights. Communication: Excellent verbal and written communication skills, with the ability to convey complex data findings in a clear and actionable manner. Problem-Solving: Strong problem-solving abilities with a detail-oriented and data-driven mindset. Preferred Qualifications: Experience in (industry, e.g., Software, FinTech, Finance, SaaS or relevant). MSc in STEM subject. Knowledge of machine learning and predictive modeling. Advanced experience with Python or R for data manipulation and statistical analysis. In Technology Group Ltd is acting as an Employment Agency in relation to this vacancy