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Experienced Professional

Data Analytics Manager – IGH Analytics

Location: London

Service Line: Connected Technology

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Experienced Professional

Assistant Manager Data and Analytics

Location: London

Service Line: Connected Technology

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Experienced Professional

Assistant Manager Data and Analytics

Location: London

Service Line: Connected Technology

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Experienced Professional

Assistant Manager Data and Analytics

Location: London

Service Line: Connected Technology

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Experienced Professional

Data and Analytics Senior Manager

Location: London

Service Line: RC Technology

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Experienced Professional

Financial Crime Data Analytics - Assistant Manager

Location: London

Service Line: Forensic

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Data Analytics Manager – IGH Analytics

Location: London

Capability: Consulting

Service line: Connected Technology

Experience level: Manager

Employment type: Full Time


The Team

The role is within the UK Infrastructure Government and Healthcare (IGH) Data Analytics, based in London. We provide a wide range of data analytics, modelling, data modelling services to our clients in a diverse range of sectors such as health, transport, policing, local and central government
Our services include:
Data Modelling and Analytics
• Interactive data visualisation, presentation and reporting
• Dashboard development, publishing and maintenance
• Advanced analytics including exploiting modern data science techniques like machine learning and applied statistics to extract valuable data driven insights
• Cloud-enabled analytical services
• Requirements gathering and stakeholder engagement
• Agile analytics project management and delivery
• Development and delivery of training in visual analytics solutions
Data analytics strategy design and implementation
• Developing and delivering data strategy, data operating model, data governance or data maturity programmes for public sector clients
• Supporting the implementation of data strategy and digital transformation programmes and initiatives
Business and data modelling
• Data blending and database development
• Cost benefit analysis and financial modelling
• Modelling the impacts of business change, including options analysis, cost optimisation, outsourcing and other operational and financial restructuring
• Transaction modelling (mergers and acquisitions, buyouts, refinancing, bids and bid defence)
• Management and KPI reporting solutions
• Model build and assurance
We work closely with teams across all functions within KPMG, such as Operational Transformation, Transaction Services, Corporate Finance, Restructuring and others. We work on some of the most exciting projects in KPMG, delivering high-quality, flexible and bespoke analytics and modelling solutions for our clients.

The Role
We are looking for a Manager to help lead work in our rapidly-growing team with strong technical expertise in data visualisation, analytics, and data modelling. The individual should have a proven track record in leading data analytics projects and have exceptional communication and presentation skills. The individual will need to establish themselves as a subject matter expert (SME) in IGH data programme delivery. Alongside this, a Manager should be a strong team player with a keen focus on the development and progression of other team members, both on engagements and in a performance manager role.

The Manager will lead projects in the following areas:
• Interactive data visualisation, presentation and reporting
• Data strategy and data maturity assessment
• Dashboard development, publishing and maintenance
• Development of analytics for public sector data strategy
• Data operating model design and data governance
• Cloud-enabled analytical services
• Requirements gathering and stakeholder engagement
• Rapid proof of concept development
• Cost benefit analysis and financial modelling
• Development and delivery of training for visual analytic solutions
• ETL, data blending and database development
• Relational and star schema data modelling
This role offers the candidate the opportunity to develop and share their extensive knowledge and experience of sophisticated data management and visual analytics techniques, as well as building on their strong data strategy and governance skills. The candidate will develop client-facing, project management and consulting skills in this role, where there will many opportunities to interact with a range of clients and build excellent relationships with them. The role requires working to tight deadlines, prioritising workload, project management and providing a high level of client service at all times. The candidate will be expected to show clear leadership capability with a track record of developing and coaching people to deliver complex analytics projects, including building a stimulating and rewarding environment for developing team members to grow and contribute.

The Person

Essential requirements
• A proven track record of delivering complex analytical products
• A numerate (computer science or maths-based) degree
• Excellent communication and interpersonal skills (both written and oral) with proven experience of having engaged with clients at the executive and board level
• Proven expertise in delivering best-practice data visualisations and interactive dashboards
• Experience of incorporating business processes and user requirements into analytics solutions with a consistent workflow and/or actionable insight
• A passion and commitment to developing their technical knowledge in a changing environment and the willingness to share and develop this in others
• Experience of taking a lead role within a team that has delivered data analytics and strategy solutions
• Positive approach towards problem solving under pressure, including the ability to think through a problem and apply a logical, analytical approach to develop a solution
• The ability to manage time and work independently with multiple stakeholders
• Ability to quickly assimilate information and propose workable solutions
• Ability to describe complex technical issues in a clear non-technical way
• Strong enthusiasm for solving complex problems with our modelling tools with a demonstrable ability to efficiently build solutions that adhere to best practice
• Strong analytical and interpretative skills
• Sustained attention to detail

Desirable requirements
• A professional qualification (e.g. Microsoft SQL Certified Professional)
• Working knowledge of Microsoft BI technology stack, including SQL Server, SQL SSIS, MS Power Query, MS Power Pivot, MS Power BI
• Thorough understanding of best-practice approaches to the development of data models in Excel, Access and SQL (“our modelling tools”)
• Working knowledge and experience with Tableau
• Experience with sales leadership support and sales related skills
• Proven experience of successfully delivering data strategies and operating models

Assistant Manager Data and Analytics

Location: London

Capability: Consulting

Service line: Connected Technology

Experience level: Associate/Assistant Manager

Employment type: Either Full Time Or Part Time



The team
Our Data and Analytics team is a specific area of focus and growth for KPMG. We provide strategic, organisational, and technical advisory work for our clients that allows them to exploit their information and maximise value from data assets. Given the significant demand in the marketplace we are looking to hire multiple individuals with expertise in at least one of the following areas: Data & Information Management, Information Exploitation or Advanced Analytics.

The successful candidate will:
• Lead workstreams in complex data & analytics programmes and manage smaller projects.
• Support senior client stakeholders (CFO, CDO, CIO) to cultivate relationships as a trusted partner, through articulating and realising the value of data
• Identify, scope, and develop data, analytics, and automation opportunities with clients, and support the creation of RFP responses
• Develop client solutions across the creation to consumption data lifecycle (data sourcing, management, quality, reporting & analytics)
• Support with management of engagement financials, profitability metrics and ensure invoices are billed to the client appropriately
• Manage the production of thought leadership on Data Management, Master Data Management, Meta Data Management, Reporting or Analytics
• Build data frameworks, accelerators, and points of view to support sales and solve key client issues
• Leverage their understanding of key technology vendors in the marketplace to deliver engagements
• Develop our people through coaching, mentoring, formal performance management and creating an inclusive working environment
• Use their people management experience to lead combined project teams of client and KPMG data analytics professionals, and develop knowledge in the KPMG team

Skills and experience required
• Advisory skills from a big4 or comparable consulting company delivering data programmes from strategy to execution, deriving business value
• Experience of complex data projects covering the full creation to consumption data lifecycle (data sourcing, management, quality, reporting & analytics)
• Strong knowledge of Data & Information Management, Information Exploitation or Advanced Analytics
• Functional knowledge and point of view around key tools within the Data Management or Analytics market
• Developing and/or delivering an Analytics/Data Management Roadmap
• Supporting the design of an appropriate target state for client data functions based on their vision and current state issues
• Analysis of data, identifying insights and providing hypotheses
• Understanding the delivery of data projects through a standard or alternative project lifecycle


The person
• Recognises the importance of continuous self and team development and actively strives to achieve this.
• Helps others to understand how their work contributes to the overall success of an engagement and the wider firm
• Fosters a sense of self belief and confidence in others
• Seeks to understand others motivations
• Supports others to make brave decisions


Assistant Manager Data and Analytics

Location: London

Capability: Consulting

Service line: Connected Technology

Experience level: Associate/Assistant Manager

Employment type: Either Full Time Or Part Time



The team
Our Data and Analytics team is a specific area of focus and growth for KPMG. We provide strategic, organisational, and technical advisory work for our clients that allows them to exploit their information and maximise value from data assets. Given the significant demand in the marketplace we are looking to hire multiple individuals with expertise in at least one of the following areas: Data & Information Management, Information Exploitation or Advanced Analytics.

The successful candidate will:
• Lead workstreams in complex data & analytics programmes and manage smaller projects.
• Support senior client stakeholders (CFO, CDO, CIO) to cultivate relationships as a trusted partner, through articulating and realising the value of data
• Identify, scope, and develop data, analytics, and automation opportunities with clients, and support the creation of RFP responses
• Develop client solutions across the creation to consumption data lifecycle (data sourcing, management, quality, reporting & analytics)
• Support with management of engagement financials, profitability metrics and ensure invoices are billed to the client appropriately
• Manage the production of thought leadership on Data Management, Master Data Management, Meta Data Management, Reporting or Analytics
• Build data frameworks, accelerators, and points of view to support sales and solve key client issues
• Leverage their understanding of key technology vendors in the marketplace to deliver engagements
• Develop our people through coaching, mentoring, formal performance management and creating an inclusive working environment
• Use their people management experience to lead combined project teams of client and KPMG data analytics professionals, and develop knowledge in the KPMG team

Skills and experience required
• Advisory skills from a big4 or comparable consulting company delivering data programmes from strategy to execution, deriving business value
• Experience of complex data projects covering the full creation to consumption data lifecycle (data sourcing, management, quality, reporting & analytics)
• Strong knowledge of Data & Information Management, Information Exploitation or Advanced Analytics
• Functional knowledge and point of view around key tools within the Data Management or Analytics market
• Developing and/or delivering an Analytics/Data Management Roadmap
• Supporting the design of an appropriate target state for client data functions based on their vision and current state issues
• Analysis of data, identifying insights and providing hypotheses
• Understanding the delivery of data projects through a standard or alternative project lifecycle


The person
• Recognises the importance of continuous self and team development and actively strives to achieve this.
• Helps others to understand how their work contributes to the overall success of an engagement and the wider firm
• Fosters a sense of self belief and confidence in others
• Seeks to understand others motivations
• Supports others to make brave decisions


Assistant Manager Data and Analytics

Location: London

Capability: Consulting

Service line: Connected Technology

Experience level: Associate/Assistant Manager

Employment type: Either Full Time Or Part Time



The team
Our Data and Analytics team is a specific area of focus and growth for KPMG. We provide strategic, organisational, and technical advisory work for our clients that allows them to exploit their information and maximise value from data assets. Given the significant demand in the marketplace we are looking to hire multiple individuals with expertise in at least one of the following areas: Data & Information Management, Information Exploitation or Advanced Analytics.

The successful candidate will:
• Lead workstreams in complex data & analytics programmes and manage smaller projects.
• Support senior client stakeholders (CFO, CDO, CIO) to cultivate relationships as a trusted partner, through articulating and realising the value of data
• Identify, scope, and develop data, analytics, and automation opportunities with clients, and support the creation of RFP responses
• Develop client solutions across the creation to consumption data lifecycle (data sourcing, management, quality, reporting & analytics)
• Support with management of engagement financials, profitability metrics and ensure invoices are billed to the client appropriately
• Manage the production of thought leadership on Data Management, Master Data Management, Meta Data Management, Reporting or Analytics
• Build data frameworks, accelerators, and points of view to support sales and solve key client issues
• Leverage their understanding of key technology vendors in the marketplace to deliver engagements
• Develop our people through coaching, mentoring, formal performance management and creating an inclusive working environment
• Use their people management experience to lead combined project teams of client and KPMG data analytics professionals, and develop knowledge in the KPMG team

Skills and experience required
• Advisory skills from a big4 or comparable consulting company delivering data programmes from strategy to execution, deriving business value
• Experience of complex data projects covering the full creation to consumption data lifecycle (data sourcing, management, quality, reporting & analytics)
• Strong knowledge of Data & Information Management, Information Exploitation or Advanced Analytics
• Functional knowledge and point of view around key tools within the Data Management or Analytics market
• Developing and/or delivering an Analytics/Data Management Roadmap
• Supporting the design of an appropriate target state for client data functions based on their vision and current state issues
• Analysis of data, identifying insights and providing hypotheses
• Understanding the delivery of data projects through a standard or alternative project lifecycle


The person
• Recognises the importance of continuous self and team development and actively strives to achieve this.
• Helps others to understand how their work contributes to the overall success of an engagement and the wider firm
• Fosters a sense of self belief and confidence in others
• Seeks to understand others motivations
• Supports others to make brave decisions


Data and Analytics Senior Manager

Location: London

Capability: Risk Consulting

Service line: RC Technology

Experience level: Senior Manager

Employment type: Full Time


Our Data and Analytics team is a specific area of focus and growth for KPMG. Structurally, we sit in the Technology practice of our Management Consulting division and are aligned to the Corporates coverage group. We provide strategic, organisational and technical advisory work for our clients that allows them to exploit their information and maximise value from data assets. Given the significant demand in the marketplace we are looking to hire multiple individuals with expertise in at least one of the following areas: Data & Information Management, Information Exploitation or Advanced Analytics.

The Role
The successful candidate will:

• Lead large, complex data & analytics programmes and projects from strategy to execution.
• Work with senior client stakeholders (CIO, CDO and CFO) to cultivate strong relationships as a trusted partner, through articulating and realising the value of data
• Identify, scope and develop data, analytics and automation opportunities with clients, and lead the creation of RFP responses
• Develop client solutions across the creation to consumption data lifecycle (data sourcing, management, quality, reporting & analytics)
• Produce thought leadership on Data Management, Master Data Management, Meta Data Management, Reporting or Analytics
• Build data frameworks, accelerators and points of view to support sales and solve key client issues
• Leverage their understanding of key technology vendors in the marketplace to deliver engagements
• Contribute to business development including Requests for Proposals
• Develop our people through coaching, mentoring, formal performance management and creating an inclusive working environment
• Use their people management experience to lead combined project teams of client and KPMG data analytics professionals, and develop knowledge in the KPMG team
• Adhere to internal risk/engagement management processes

Skills and experience required

• Extensive experience of data analytics and information management experience with a professional services firm, an internal strategy/analytics group, or similar environment
• Masters or bachelors degree in a technical or economic field with working knowledge of topics such as data modelling, information management, machine learning, and cloud computing
• Demonstrable experience of complex data programmes covering the full creation to consumption data lifecycle of data sourcing, management, quality, reporting & analytics (four stages of Create, Curate, Consume and Commercialise)
• A recognised SME in Data & Information Management, Information Exploitation or Advanced Analytics
• Functional knowledge and point of view around key tools within the Data Management or Analytics market
• Developing and/or delivering an Analytics/Data Management roadmap
• Designing an appropriate target state for client data functions based on their vision and current state issues
• Analysis of data, identifying insights and providing hypotheses
• Understanding the delivery of data projects through a standard or alternative project lifecycle
• Understanding of market trends, new technologies and how they impact companies and society (e.g. Internet of Things, Artificial Intelligence, Deep learning…)

The Person

• Recognises the importance of continuous self and team development and actively strives to achieve this.
• Helps others to understand how their work contributes to the overall success of an engagement and the wider firm
• Fosters a sense of self belief and confidence in others
• Seeks to understand others motivations
• Supports others to make brave decisions

Financial Crime Data Analytics - Assistant Manager

Location: London

Capability: Risk Consulting

Service line: Forensic

Experience level: Associate/Assistant Manager

Employment type: Full Time


The Team:
The Financial Crime Technology team sits within KPMG's Risk Consulting Function, working within our Forensic practice.

The candidate will be required to work closely with our clients, typically large financial institutions, on the challenges with their financial crime compliance obligations. As such, the candidate will be expected to possess a variety of technical skills and knowledge of the market.

Our specialisation is data analytics in the financial crime space. The role will involve interactive scoping workshops with clients to identify engagement requirements, creating detailed project plans, analysing both structured and unstructured data, understanding relevant legislation in order to assess clients’ policies, procedures and organisational risk, and forming logical conclusions and solutions in order to provide sound advice. A full list of required technical and soft skills is provided under the ‘Qualifications, Skills and Experience’ section.


The Role:
The role gives an opportunity to work with many areas of the business, from technical SMEs through to the consulting side in the wider Forensic practice. Furthermore, the role will offer the chance to develop the skills required for progression; the candidate will therefore be expected to present their work to both clients and the team internally.


The Person:
Essential Qualifications, Skills and Experience:
This exciting role will fully utilise your existing programming, data analysis and data management skills. Strong technical skills are essential as you will be required to develop solutions either individually or as part of an integrated multi-disciplinary team.
- Experience with SQL: functions, stored procedures, pivoting, cursors, recursion, CTEs, triggers, dynamic SQL, query optimisation, transactions and XML.
- A working knowledge of database architecture, specifically designing and reviewing data storage structure, database normalization (1NF, 2NF, 3NF etc) and ensuring these structures are fit for purpose and scalable.
- Good understanding of using Python including its built-in functions and knowledge of data manipulation packages.
- Proven experience in automating manual tasks and ETL.
- Experience using any version control system (e.g. Git or CVS).
- Knowledge of full stack development in any programming/scripting language.
- Basic understanding of working with or building an API (REST)
- Ability and curiosity to conduct root-cause investigative work in relation to a system’s performance, configuration or data flow issues.
Desired:
- Knowledge of statistical techniques and analysis (such as regression, clustering, sampling and social network analysis).
- Experience in cloud-based deployment (e.g. Azure, GCP or AWS)
- Applied knowledge of machine learning and cognitive computing.
- A functional understanding of international sanctions, regulations and anti-money laundering protocols.
You:
- Excellent communication skills with the ability to explain complex technical analysis to a non-technical audience.
- Tenacious problem solving attitude: the ability to identify and fix issues before they become critical.
- Independent worker: you are reliable and can be trusted to deliver high-quality work with minimal oversight.
- Self-review system: you use a structured approach to ensure that your deliverables would require only minor review points from a stakeholder.

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