Financial Data Analyst

Financial Data Analyst

Posted 4 days ago by Refreshing Finance Recruitment

£50,000 Per year
Undetermined
Undetermined
London Area, United Kingdom

Summary: The Finance Analyst - Data role is a 6-month contract position focused on data gathering, manipulation, and reporting using tools like SQL and Power BI. The ideal candidate is a proactive data enthusiast with a strong analytical background and experience in finance analytics. Responsibilities include maintaining data models, producing dashboards, and contributing to month-end analysis. The position requires immediate availability and a collaborative mindset to work effectively within a team.

Key Responsibilities:

  • Data gathering and manipulation from multiple systems
  • Maintain Power BI data model and ensure data accuracy
  • Produce reports and dashboards for stakeholders using Power BI
  • Investigate and resolve data discrepancies
  • Document analysis processes and identify areas for improvement
  • Contribute to the production of month-end analysis and visuals

Key Skills:

  • At least 3 years’ experience in a Finance Analytics role
  • Strong academic background with high numerical ability
  • Expertise in SQL, Python, Power BI, ETL workflows
  • Proven track record of transforming data into actionable insights
  • Proficient in Microsoft Excel, including advanced functions
  • Proactive and solutions-oriented mindset
  • Ability to handle ambiguity and changing demands
  • Excellent attention to detail and collaboration skills
  • Critical thinking and ability to derive insights from data

Salary (Rate): £50,000 yearly

City: London Area

Country: United Kingdom

Working Arrangements: undetermined

IR35 Status: undetermined

Seniority Level: undetermined

Industry: Finance

Detailed Description From Employer:

Finance Analyst - Data £45,000 - £50,000 Equivalent. 6 month contract We're looking for a self-confessed data lover who wants to get stuck into a new challenge. Our client wants someone for a 6 month contract who can start immediately and help make a difference to the team. You'll most likely be part-qualified and have a background with SQL, python, and other data tools,

Weekly and monthly key responsibilities:

  • Data gathering and manipulation from multiple systems - Perform queries or run scripts to extract and manipulate data from large datasets for analysis and reporting tasks.
  • Maintain data models - Manage Power BI data model and ensure data accuracy, integrity and consistency across systems
  • Produce dashboards - Produce reports and dashboards for stakeholders using Power BI.
  • Error resolution - Investigate and resolve data discrepancies quickly and effectively.
  • Documentation & Process Improvement: Document analysis processes, workflows, and procedures, identifying areas for optimisation and efficiency improvements.
  • Month end board pack involvement – Contribute to the production of month end analysis and visuals.

Competency and Personal Attributes:

  • Mindset and learning style - Proactive, solutions-oriented mindset and a quick learner
  • Handle ambiguity - Ability to work in a fast paced, commercially focused environment and handle ambiguity and changing demands
  • Attention to Detail - Ensure high accuracy in all aspects of data cleaning, analysis, and reporting to maintain quality standards.
  • Excellent attention to detail with the ability to simplify complex data
  • Collaboration - Work closely with senior analysts and other departments to understand business needs and contribute to ongoing projects.
  • Critical Thinking - Understand the data, ask relevant questions, and derive actionable insights to maximize its value.
  • Excel Proficiency - Super user of Microsoft Excel, including highly advanced functions.

Skills and Experience

  • At least 3 years’ experience in a Finance Analytics role
  • Strong academic background with a high level of numerical ability
  • Strong expertise in some of these areas: SQL, Python, Power BI, ETL workflows
  • Proven track record of transforming data from disparate systems into high-value, decision-ready insights

We want someone ASAP so please apply today