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
