Assistant Manager, Data & Technology

Interpath Advisory
London
1 year ago
Applications closed

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Interpath Advisory is seeking a Assistant Manager for their Data & Technology team. As a broad-spectrum financial advisory business, Interpath's purpose is to create, defend, preserve, sustain, and grow value. This position is an ideal opportunity to work as a part of a team of professionals who deliver high-quality services to clients ranging from SMEs to the largest corporations on the planet. Interpath has 11 offices across the UK and 4 international offices and offers experts who truly understand the complexities of different markets.

The Data & Technology Assistant Manager is an essential role in driving data insights and strategy execution for clients within Interpath Advisory. Reporting directly to the Data & Technology Senior Management, the Data & Technology Senior Associate will support client facing engagements both within the Data and Technology Team as well as working alongside other data enabled service lines across the Firm.

Key accountabilities:

  • Collaborate with clients to collect, understand, process, and convert complicated data into easy-to-understand outputs.
  • Work alongside a range of different Interpath client facing teams to support a variety of project types including working capital improvement, ESG and transactions. 
  • Develop tools and processes to enable data enabled client delivery with a focus on efficiency and maximising value for clients.
  • Develop clear and concise reports, dashboards, and other presentations, communicating complex data in a simple and easy-to-understand format.
  • Provide support for the development of technical data-driven solutions to meet client needs.
  • Partner with project teams and act as a subject matter expert for data-related tasks.
  • Own the ongoing development and improvement of digital IP such as dashboards and data workflows used to deliver client engagements.

Requirements

  • Bachelor's or Master’s degree in Computer Science, Analytics, Statistics, Finance, Engineering, or a related field with a focus on data analysis.
  • At least 2-3 years of experience in a data analytics role, preferably in professional services advising clients on financial projects.
  • Experience transforming data for analysis, preferably using Alteryx, SQL, or Python.
  • Analysing data, with strong Excel skills and preferably machine learning techniques.
  • Creating dashboards, preferably with PowerBI.
  • Implementing re-usable, long-term analytics solutions (ETL, data warehousing etc.).
  • Using analytics cloud services, preferably Azure.
  • Commercial experience, such as analysing data from accounting systems, general ledger, ERP systems, or financial statements.
  • Excellent problem-solving and analytical skills.
  • Excellent written and verbal communication and presentation skills.

Benefits

  • Annual leave 26 days (in addition to Public/Bank Holidays)
  • Private medical insurance
  • Life Assurance (4x salary)
  • Group Income Protection
  • Holiday buy (up to 10 days via salary sacrifice)
  • Workplace pension scheme
  • Discretionary bonus scheme
  • Discounted gym membership
  • Dental Insurance (optional, BUPA)
  • Critical Illness Insurance (optional)

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