Interpath Advisory is seeking an 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 part of a team of professionals who deliver high-quality services to clients ranging from SMEs to the largest corporations on the planet.

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 Assistant Manager 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:

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

Minimum Requirements:

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

Benefits:

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

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