Finance BI / Analytics - Senior Analyst

Company:  Harvey Nash
Location: lancashire
Closing Date: 15/05/2025
Hours: Full Time
Type: Permanent

Job Description

We're helping a Mid Sized Wealth / Investment Manager hire a Finance BI & DA Senior Analyst. They are creating a capability that will help the business leverage data to provide insights and enhance decisions.


The Role:


Business Intelligence & Automation:


  • Develop and manage BI dashboards (e.g., Power BI, Tableau) to track performance and enhance data visibility.
  • Automate routine reporting to improve efficiency and ensure timely insights.


Data Science / Analytics:


  • Support and lead data analytics projects, including forecasting and predictive modelling.
  • Work closely with the BI & Data Analytics Manager on strategic analytics initiatives.


Data Reporting & Analysis:


  • Analyse financial data to identify trends, risks, and opportunities that inform strategic decisions.
  • Design and deliver clear, insight-driven reports, dashboards, and KPIs aligned with business goals and regulatory requirements.


Stakeholder Collaboration:


  • Partner with finance teams and business stakeholders to provide actionable insights.
  • Communicate findings clearly to non-technical audiences, ensuring alignment with strategic objectives.


Required Skills:


  • Personal: Proactive, adaptable, and results-focused; committed to data quality and able to perform in fast-paced environments.
  • Analytical: Strong analytical skills with expertise in statistical analysis, predictive modelling, and interpreting complex data to deliver actionable insights.
  • Communication: Clear and confident communicator with the ability to explain technical concepts to non-technical stakeholders and influence through data-driven insights.
  • Technical: Proficient in Alteryx, Power BI, SAP Analytics Cloud; experienced with Snowflake and data modelling; familiarity with R and Python highly desirable.
  • Financial Services: Experience working in a Finance firm, preferably Wealth Manager / Private Bank / Hedge Fund.


Required Qualifications:


  • Applicable Degree (e.g. Data Analytics, Business Intelligence, Finance, Statistics
  • Relevant certifications (e.g. CBIP, CFA, Microsoft Data Analyst).
  • 3 years experience in data analytics or business intelligence, preferably within a finance function.
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