Interpath Advisory is seeking an Assistant Manager for their Data & Technology team. As a broad-spectrum financial advisory business, Interpaths 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 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:
* 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 maximizing 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:
* Bachelors or Masters 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)
Seniority level
Associate
Employment type
Full-time
Job function
Analyst
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