Assistant Manager, Data & Technology

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)