KEY SKILLS & EXPERIENCE

• 7+ years of data analytics experience preferably within a professional services company, consultancy or investment bank
• Substantial experience in business diagnostics and delivering data analytics solutions across a variety of business problems and industries
• Proven experience in applying analytics in a financial advisory setting, preferably covering one or more of the following
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• Financial performance improvement, cost reduction and corporate turnaround support

• Identifying working capital and other cash flow improvements
• Supporting corporate insolvencies, voluntary arrangements (CVA) or special administration regimes (SAR) through data analytics
• Excellent technical expertise and proven ability to deliver across a number of technologies and techniques, covering at least the following
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• Data Manipulation and ETL

• Data visualisation and dashboard development using tools such as PowerBi or Tableau
• Statistical analysis, AI and machine learning
• Hands-on coding experience preferably in SQL, Python or R
• Experience in leading business development activities, proposition development and bidding for work
• Demonstrate an effective approach to time management and the ability to work to tight deadlines with potentially limited data sets
• Strong written and verbal communication skills, particularly around the ability to communicate complex ideas and approaches effectively to a non-technical audience
• Experience coaching and mentoring others
• Ambitious, with a desire to succeed in an entrepreneurial culture
• Be client focussed with the ability to establish strong, lasting working relationships with clients

THE ROLE

This is a unique opportunity for a motivated Associate Director to join the Data Analytics practice at Teneo, the global CEO advisory firm, with a focus on supporting our Financial Advisory business. Teneo’s global Financial Advisory business advises corporates, creditors and other financial stakeholders in situations of financial stress and distress. No two situations are the same. Our advice and approach is tailored to each situation and each client. At Teneo, we believe such occurrences present new opportunities for our clients. Opportunities to restore value, raise new capital, pivot in a new direction and ultimately, identify certainty amidst chaos. Teneo partners with clients to find viable opportunities that will protect and enhance value and help them to build strategies that will most benefit their business and/or investment goals.
The successful candidate will be a driven data analytics professional who is seeking to join a fast-growing team which offers unparalleled opportunities for personal growth and promotion. They should exhibit an entrepreneurial spirit with a genuine desire to provide quality, independent advice and insight to Teneo’s blue chip client base.

KEY RESPONSIBILITIES

As a Data Analytics Associate Director, you will have the opportunity to:

• Lead complex analytics engagements and discrete workstreams whilst collaborating closely with a range of industry leading specialists across different teams
• Solve complex client problems using a variety of data analytics technologies and techniques including but not limited to: data processing and engineering, statistical analysis, data visualisation, machine learning & AI, simulation and optimisation techniques
• Provide solid analytics delivery and work stream management across the whole analytics project life cycle: Scoping, Design, Develop, Test and Deliver
• Provide quality & risk management and project oversight across multiple data analytics workstreams or projects, including review and challenge of analytics approaches, outputs and results
• Lead Business Development and analytics proposition development activities alongside Directors and Managing Directors
• Handle day-to-day liaison with client teams, empathising with client issues and escalating concerns where appropriate
• Lead on presentations of conclusions confidently and engagingly and/or present the output to the client
• Play an active role in the capability development of the Data Analytics team and coaching of junior team members.