Data Analyst Programmer (Permanent: London, Old Street, EC2A 4NW)

(£25,000 - £35,000, plus 25 days annual leave, pension, healthcare and company bonus)

Closing date for applications is the 5th April 2020, this post has been advertised since the 5th March 2020.

Role Overview

We are currently looking for an outstanding Data Analyst Programmer that has recently graduated or has a 1 – 2 years commercial experience, to join our growing analytics and data science team. If you are successful you will have the opportunity to work with blue-chip clients on cutting-edge data science and innovative data driven marketing solutions. Many of our clients are embarking on game-changing digital and data transformation projects that will fundamentally change how they operate. You will be in a pivotal position to help our clients and Profusion undertake these cutting-edge projects that have industry-wide impact. 

We are looking for individuals who are highly curious about discovering patterns and meaning in data from businesses and organisations. As a data analyst, you will be analysing large quantities of data, helping both our clients and Profusion to visualise hidden insights – which are then used to deliver campaigns through email, mobile, social and location marketing platforms. This post will also have a role in supporting with our brand-new Data Academy including writing data science curricula, preparing lectures, teaching and mentoring students and miscellaneous admin tasks in keeping things running smoothly. The role reports into the Head of Data Science.

The data analyst should have experience in statistical analysis and machine learning and likely holds an MSc or PhD in maths, statistics, computer science or related field. As a growing multinational company, we also value language skills. The role is based in our Central London office with some opportunity for remote working and occasional travel to clients’ office in UK and Europe.

You will have good potential for personal and career development, learn from and share knowledge with a range of talented, highly skilled and internationally diverse team of colleagues. All of this while embarking on an exciting journey with a pioneering, fast-growing company situated at the heart of London’s Tech City.

Key responsibilities

The key responsibilities of a data analyst are to discover the information hidden in vast amounts of data from a varied number of sources. Additionally, help us find better insights for our clients so they can make smarter decisions. The candidate’s primary focus will be in applying data mining techniques, doing statistical analysis, and building high quality prediction systems integrated with our service offering. The candidate will need to work closely with our clients to identify issues and use data to propose solutions. Building programmatic solutions that are replicable and clear to follow which will enhance the team’s productivity and results. The candidate will also assist in running the Profusion Data Academy including but limited to writing data science curricula, preparing lectures, teaching and mentoring students and miscellaneous admin tasks in keeping things running smoothly. 

• Writing SQL queries to get the relevant data
• Using R or Python to analyse the data pulled
• Using Sisense to visualise data insights
• Occasionally using Excel for some quick data analysis
• Explaining to non-technical stakeholders the outcomes of the data analysis
• Cleaning, exploring and aiding in the data analysis for ad-hoc projects.
• Analysing, summarising and drawing insights from data in order to deliver BAU reports
• Automating recurring data analysis reports
• Assisting with running the Profusion Data Academy
• Writing data science curricula on topics in statistics, machine learning and coding
• Teaching and mentoring students of the Profusion Data Academy

Personal Specification: Knowledge, Experience and Skills

We are looking for a candidate that has recently graduated with or with 1+ years of experience in a Data Analytics role, who has attained a Graduate degree in Statistics, Mathematics, Computer Science, Physics, Economics, Chemistry, Biology or another quantitative field, or relevant industry experience.

Essential

• Highly curious
• Interest in solving business problems using data
• Experience with Python
• Experience with MySQL and PostgreSQL
• Strong understanding of statistics and machine learning
• Experience with data visualisation
• Good communication skills
• Experience with curriculum writing
• Experience with writing lectures
• Experience with teaching data science concepts
• Experience with mentoring students
• Experience dealing with people of different cultural backgrounds

Desirable

• Experience with Tensorflow, Keras and Pytorch
• Experience with doing machine learning at scale using Spark
• Experience with JavaScript, Node.js and D3.js
• Familiarity with other languages such as Java, Scala or PHP
• Experience with Knime or Alteryx
• Experience with Sisense
• Curious to learn Spark, AWS and more data science
• Experience with line management
• Knowledge of other European languages

Personal skills and competencies

• Strong problem-solving skills, willingness to take ownership and risks, and enthusiasm in the face of technical challenges
• Strong project management and organisational skills, with the ability to prioritise and meet deadlines in a calm and effective way
• Excellent interpersonal skills and the ability to work in a team environment
• Strong communication skills, with the ability to support client meetings
• Client focused, with the ability to interpret and understand client needs and deliver results 
• The ability to understand the wider company operations, goals and objectives and where data engineering can add value
• A proactive approach and the ability to be self-managing and innovative.

How to apply

If you are passionate about a career in data science and you meet the requirements above, please email your CV with a cover letter (no more than 2 sides of A4) outlining why you would be ideal for the role to: people@profusion.com  (Closing date for applications is 5^th April 2020).

Please note that because of the high number of applications we typically receive, it is not possible to answer everyone in person, successful candidates will hear from us within 2 weeks of the closing date.

Data Analyst Programmer (Permanent: London, Old Street, EC2A 4NW)

(£25,000 - £35,000, plus 25 days annual leave, pension, healthcare and company bonus)

Closing date for applications is the 5th April 2020, this post has been advertised since the 5th March 2020.

Role Overview

We are currently looking for an outstanding Data Analyst Programmer that has recently graduated or has a 1 – 2 years commercial experience, to join our growing analytics and data science team. If you are successful you will have the opportunity to work with blue-chip clients on cutting-edge data science and innovative data driven marketing solutions. Many of our clients are embarking on game-changing digital and data transformation projects that will fundamentally change how they operate. You will be in a pivotal position to help our clients and Profusion undertake these cutting-edge projects that have industry-wide impact. 

We are looking for individuals who are highly curious about discovering patterns and meaning in data from businesses and organisations. As a data analyst, you will be analysing large quantities of data, helping both our clients and Profusion to visualise hidden insights – which are then used to deliver campaigns through email, mobile, social and location marketing platforms. This post will also have a role in supporting with our brand-new Data Academy including writing data science curricula, preparing lectures, teaching and mentoring students and miscellaneous admin tasks in keeping things running smoothly. The role reports into the Head of Data Science.

The data analyst should have experience in statistical analysis and machine learning and likely holds an MSc or PhD in maths, statistics, computer science or related field. As a growing multinational company, we also value language skills. The role is based in our Central London office with some opportunity for remote working and occasional travel to clients’ office in UK and Europe.

You will have good potential for personal and career development, learn from and share knowledge with a range of talented, highly skilled and internationally diverse team of colleagues. All of this while embarking on an exciting journey with a pioneering, fast-growing company situated at the heart of London’s Tech City.

Key responsibilities

The key responsibilities of a data analyst are to discover the information hidden in vast amounts of data from a varied number of sources. Additionally, help us find better insights for our clients so they can make smarter decisions. The candidate’s primary focus will be in applying data mining techniques, doing statistical analysis, and building high quality prediction systems integrated with our service offering. The candidate will need to work closely with our clients to identify issues and use data to propose solutions. Building programmatic solutions that are replicable and clear to follow which will enhance the team’s productivity and results. The candidate will also assist in running the Profusion Data Academy including but limited to writing data science curricula, preparing lectures, teaching and mentoring students and miscellaneous admin tasks in keeping things running smoothly. 

• Writing SQL queries to get the relevant data
• Using R or Python to analyse the data pulled
• Using Sisense to visualise data insights
• Occasionally using Excel for some quick data analysis
• Explaining to non-technical stakeholders the outcomes of the data analysis
• Cleaning, exploring and aiding in the data analysis for ad-hoc projects.
• Analysing, summarising and drawing insights from data in order to deliver BAU reports
• Automating recurring data analysis reports
• Assisting with running the Profusion Data Academy
• Writing data science curricula on topics in statistics, machine learning and coding
• Teaching and mentoring students of the Profusion Data Academy

Personal Specification: Knowledge, Experience and Skills

We are looking for a candidate that has recently graduated with or with 1+ years of experience in a Data Analytics role, who has attained a Graduate degree in Statistics, Mathematics, Computer Science, Physics, Economics, Chemistry, Biology or another quantitative field, or relevant industry experience.

Essential

• Highly curious
• Interest in solving business problems using data
• Experience with Python
• Experience with MySQL and PostgreSQL
• Strong understanding of statistics and machine learning
• Experience with data visualisation
• Good communication skills
• Experience with curriculum writing
• Experience with writing lectures
• Experience with teaching data science concepts
• Experience with mentoring students
• Experience dealing with people of different cultural backgrounds

Desirable

• Experience with Tensorflow, Keras and Pytorch
• Experience with doing machine learning at scale using Spark
• Experience with JavaScript, Node.js and D3.js
• Familiarity with other languages such as Java, Scala or PHP
• Experience with Knime or Alteryx
• Experience with Sisense
• Curious to learn Spark, AWS and more data science
• Experience with line management
• Knowledge of other European languages

Personal skills and competencies

• Strong problem-solving skills, willingness to take ownership and risks, and enthusiasm in the face of technical challenges
• Strong project management and organisational skills, with the ability to prioritise and meet deadlines in a calm and effective way
• Excellent interpersonal skills and the ability to work in a team environment
• Strong communication skills, with the ability to support client meetings
• Client focused, with the ability to interpret and understand client needs and deliver results 
• The ability to understand the wider company operations, goals and objectives and where data engineering can add value
• A proactive approach and the ability to be self-managing and innovative.

How to apply

If you are passionate about a career in data science and you meet the requirements above, please email your CV with a cover letter (no more than 2 sides of A4) outlining why you would be ideal for the role to: people@profusion.com  (Closing date for applications is 5^th April 2020).

Please note that because of the high number of applications we typically receive, it is not possible to answer everyone in person, successful candidates will hear from us within 2 weeks of the closing date.

Are you looking to develop your career in one of the world’s largest Research Organisations?

The role sits within the Audience Measurement Service Line. The AMSL runs large scale continuous audience measurement surveys.  We are a team of 40+ and have expertise across all media industries.

The Role

This role is a central role in the day-to-day work of our specialised audience measurement data science team. Working in this role, you would be maintaining production systems for our audience measurement contracts – which involves working with the senior stakeholders to detect new modelling solutions and data improvements that need to be implemented. You will be using machine learning techniques to improve lookalike models in our production systems or to calibrate the datasets to external sources. You will also be working on analytics work for our exciting projects in media development for some of the top media organisations in the UK.

What you’ll be doing:

• A research expert and a go to internal as well as external resource for advice, guidance and knowledge on key sector related issues
• Data manipulation and data processing in R, Python, SQL and Google Cloud Platform
• Application and development of machine learning models with senior data scientist guidance
• Working with Bayesian techniques and probability modelling to align datasets to external sources
• Quality control and quality assurance of team data production capabilities
• Working with the core Audience Measurement Data Science team on all industry measurement contracts we run (Route, Rajar, PAMCo, BBC Compass and other).
• Work on a variety of ad-hoc projects run through the Media Development service line.
• Engaging with stakeholders across the business (internal and external).
• Working closely with Senior Data Science personnel in producing internal deliverables.
• Advise the research team on how to use the data or analysis.
• Managing good professional relationships with clients and internal stakeholders

What do I need to bring with me:

• Previous experience in similar roles in a data science team
• Bachelors or Masters in Economy, Computer Science, Mathematics, Physics or similar mathematically oriented discipline OR  specialisation/qualification in Data Science/Data analysis (such as Level 4 Data Analyst qualification or equivalent) OR a degree in a research discipline (e.g. Sociology, Psychology) and a high degree of analytical or computer science skills
• Ability to deliver results, meet deadlines and manage your time effectively
• Ability to find creative and innovative solutions for complex and varied problems
• High level knowledge of data wrangling/manipulation techniques in R or Python
• Good experience in working with database systems and SQL syntax
• Experience with machine learning and predictive models in R OR Pandas (one is a must)
• Experience with running segmentations of respondent or customer data is a plus
• Outstanding attention to detail
• Good written, oral and electronic communication skills

About us

We are one of the world’s largest research companies and currently the only one primarily managed by researchers. With offices in 88 countries, Ipsos brings together research, implementation, methodological, and subject-matter experts from around the world, combining thematic and technical experts globally with local knowledge to deliver top-quality research.

Our culture is unique - we have the entrepreneurial spirit and quirkiness of a small boutique, but we also have the resources, scale and diversity of a large global agency. We have more bright, friendly, hard-working and enthusiastic people, from more backgrounds, with more interests, skills and experiences to learn from. Our values are based on our diverse cultural backgrounds, helping us to be responsive, client-focused and flexible.

We are committed to equality, treating people fairly, promoting a positive and inclusive working environment and ensuring we have diversity of people and views. We recognise that this is important for our business success - a more diverse workforce will enable us to better reflect and understand the world we research and ultimately deliver better research and insight to our clients. We understand the importance of commitments you may have outside of work and we consider all flexible working applications - please highlight what you are looking for when you make your application.

If this is what you are looking for from your next role, we look forward to hearing from you!

Are you looking to develop your career in one of the world’s largest Research Organisations?

The role sits within the Audience Measurement Service Line. The AMSL runs large scale continuous audience measurement surveys.  We are a team of 40+ and have expertise across all media industries.

The Role

This role is a central role in the day-to-day work of our specialised audience measurement data science team. Working in this role, you would be maintaining production systems for our audience measurement contracts – which involves working with the senior stakeholders to detect new modelling solutions and data improvements that need to be implemented. You will be using machine learning techniques to improve lookalike models in our production systems or to calibrate the datasets to external sources. You will also be working on analytics work for our exciting projects in media development for some of the top media organisations in the UK.

What you’ll be doing:

• A research expert and a go to internal as well as external resource for advice, guidance and knowledge on key sector related issues
• Data manipulation and data processing in R, Python, SQL and Google Cloud Platform
• Application and development of machine learning models with senior data scientist guidance
• Working with Bayesian techniques and probability modelling to align datasets to external sources
• Quality control and quality assurance of team data production capabilities
• Working with the core Audience Measurement Data Science team on all industry measurement contracts we run (Route, Rajar, PAMCo, BBC Compass and other).
• Work on a variety of ad-hoc projects run through the Media Development service line.
• Engaging with stakeholders across the business (internal and external).
• Working closely with Senior Data Science personnel in producing internal deliverables.
• Advise the research team on how to use the data or analysis.
• Managing good professional relationships with clients and internal stakeholders

What do I need to bring with me:

• Previous experience in similar roles in a data science team
• Bachelors or Masters in Economy, Computer Science, Mathematics, Physics or similar mathematically oriented discipline OR  specialisation/qualification in Data Science/Data analysis (such as Level 4 Data Analyst qualification or equivalent) OR a degree in a research discipline (e.g. Sociology, Psychology) and a high degree of analytical or computer science skills
• Ability to deliver results, meet deadlines and manage your time effectively
• Ability to find creative and innovative solutions for complex and varied problems
• High level knowledge of data wrangling/manipulation techniques in R or Python
• Good experience in working with database systems and SQL syntax
• Experience with machine learning and predictive models in R OR Pandas (one is a must)
• Experience with running segmentations of respondent or customer data is a plus
• Outstanding attention to detail
• Good written, oral and electronic communication skills

About us

We are one of the world’s largest research companies and currently the only one primarily managed by researchers. With offices in 88 countries, Ipsos brings together research, implementation, methodological, and subject-matter experts from around the world, combining thematic and technical experts globally with local knowledge to deliver top-quality research.

Our culture is unique - we have the entrepreneurial spirit and quirkiness of a small boutique, but we also have the resources, scale and diversity of a large global agency. We have more bright, friendly, hard-working and enthusiastic people, from more backgrounds, with more interests, skills and experiences to learn from. Our values are based on our diverse cultural backgrounds, helping us to be responsive, client-focused and flexible.

We are committed to equality, treating people fairly, promoting a positive and inclusive working environment and ensuring we have diversity of people and views. We recognise that this is important for our business success - a more diverse workforce will enable us to better reflect and understand the world we research and ultimately deliver better research and insight to our clients. We understand the importance of commitments you may have outside of work and we consider all flexible working applications - please highlight what you are looking for when you make your application.

If this is what you are looking for from your next role, we look forward to hearing from you!

An exciting opportunity to work in a dynamic environment and one of the largest professional services firms worldwide.

The role will be performed within the Reporting & Analytics pillar of Network Operations function, reporting to Analytics & Data Solutions Lead. Reporting & Analytics pillar has strong collaboration between the business and technical teams, driving innovation, an agile mind-set and a hands-on approach to all aspects of analytic application design; business requirements, analytics delivery, implementation, deployment and transition to business as usual service.

The Role

The role is responsible for the development and maintenance of Advanced Analytics capabilities, taking the ownership of cross domain/functional global insights (CRM, Human Capital, Engagement and Finance) to support the Network Operations strategic and operational decisions.

The role holder will explore and leverage the Business Operations data across business domains to deliver data solutions and analytic applications that add value to the Network Operations decision-making processes.

Works in collaboration with the Global Data Operations team (part of the Global Chief Data Office - GCDO), to capture, organize, govern and refresh the data required for serving the Analytics applications and ad-hoc insight delivery needs.

Manages the internal stakeholder expectations, coordinates the technical delivery of solution components, assures the efficiency and scalability of the applications developed by the off-shore service delivery teams and monitors and measures the services received against the SLAs.

Responsibilities/Duties

Business as Usual Service Delivery:

• Manage the service demands and liaise with business stakeholders to verify analytic and insight needs and eliminate ambiguity.
• Manage Stakeholder expectations by providing achievable timelines for outputs and ensuring stakeholder satisfaction with results.
• Actively solicit stakeholder feedback for improving the Analytics services.
• Propose appropriate recommendations for service, process and application improvements and optimization needs based on user/stakeholder feedback.
• Promote the use of Self-Served analytics and insights delivered via the QlikView, Tableau, Power BI applications/tools)
• Be part of the CoE for Reporting & Analytics services and assist the Self-Service users, providing guidance on the applications served.
• Deliver and maintain the standards/principles, and advocate the best practice use of the Self-Service capabilities to ensure the consistency of delivered insights.
• Liaise with the relevant service teams (e.g. IT, SDC, GCDO ) to resolve any system availability and performance issues.
• Assure the Quality, Accuracy and Security of any outputs prior to sign-off and release.
• Ensure all outputs include the terms & conditions clauses.

Application / Project Delivery:

• Explore the Business Operations data and proactively identify opportunities for innovation and application of advanced Analytics capabilities to deliver data-centric business insights that support business decisions.
• Facilitate resolution of complexities and simplification of solution options by bringing together business and technical SMEs, Solution Architects and other relevant resources.
• Manage the delivery of Proof of Concept projects and work with the Analytics and Data Solutions Lead to formulate the business case for any new and innovative products and applications.
• Work with Analytics & Data Solutions Lead to formulate the product roadmap and the at scale implementation strategy.
• Manage the transition of implemented products and applications into business as usual service.

Skills & Knowledge

• Management of Analytics resources to support simultaneous business demands whilst meeting deadlines in a fast-paced, constantly changing environment
• Proven ability to solve problems, handle conflicts, anticipate issues/concerns, troubleshoot problems, and proactively institute creative solutions quickly and in detail
• Ability to establish strong working relationships with other dependent functions and departments.
• Strong written and verbal communication, presentation, and technical writing skills
• Knowledge and experience working with Databases, BI tools and visualization tools (e.g. SQL, QlikView, Power BI, Tableau, Alteryx etc.)
• Familiarity with Financial Services and Management Consulting industries
• Knowledge of working with large data sets performing data analysis, data visualization, data mining, and data cleansing/transformation/processing
• Education (desirable)Educated to Degree level - Information Systems and/or Business Intelligence disciplines.

Experience

• Extensive Design/Development experience of Analytic solutions
• Experience with direct supervision of on/off-shore delivery teams and complex BI project lead experience
• Proven experience of delivering data-driven, cross domain, cross functional strategic, tactical and operational insights, ideally in a financial services or professional services business environment.
• Experience working as part of a Reporting & Analytics team using BI tools (e.g. Oracle, SAS, Power BI, QlikView, Tableau etc.)
• Experience working with database developers and data engineers to ensure the data points are optimally tuned and structured for advanced analytic applications.
• Experience using open source data to enrich analytic outputs.
• Experience working in a Global business environment.
• Experience designing or working with relational and dimensional models and Analytical data marts/cubes (e.g. OLAP cubes)
• Experience working with ERP, CRM, Finance and HC/HR products in a global environment

Key Stakeholders

Internal:

• Global Network Operations
• Global Clients & Industries
• Global Finance Operations
• Global Data Governance/Operations (part of Global CDO)

External:

• Other Lines of Services
• Client Relationship Partners
• Offshore IT teams

Not the role for you?

Did you know PwC offer flexible contract arrangements as well as contingent work ( ie temporary or day rate contracting)?

The skills we look for in future employees

All our people need to demonstrate the skills and behaviours that support us in delivering our business strategy. This is important to the work we do for our business, and our clients. These skills and behaviours make up our global leadership framework, ‘The PwC Professional’ and are made up of five core attributes; whole leadership, technical capabilities, business acumen, global acumen and relationships.

To apply, please visit our website via the button below.

Diversity

We work in a changing world which offers great opportunities for people with diverse backgrounds and experiences. We seek to attract and employ the best people from the widest talent pool, as well as those who reflect the diverse nature of our society. And we aim to encourage a culture where people can be themselves and be valued for their strengths. Creating value through diversity is what makes us strong as a business and as an organisation with an increasingly agile workforce, we're open to flexible working arrangements where appropriate.

Learn more here www.pwc.com/uk/diversity

An exciting opportunity to work in a dynamic environment and one of the largest professional services firms worldwide.

The role will be performed within the Reporting & Analytics pillar of Network Operations function, reporting to Analytics & Data Solutions Lead. Reporting & Analytics pillar has strong collaboration between the business and technical teams, driving innovation, an agile mind-set and a hands-on approach to all aspects of analytic application design; business requirements, analytics delivery, implementation, deployment and transition to business as usual service.

The Role

The role is responsible for the development and maintenance of Advanced Analytics capabilities, taking the ownership of cross domain/functional global insights (CRM, Human Capital, Engagement and Finance) to support the Network Operations strategic and operational decisions.

The role holder will explore and leverage the Business Operations data across business domains to deliver data solutions and analytic applications that add value to the Network Operations decision-making processes.

Works in collaboration with the Global Data Operations team (part of the Global Chief Data Office - GCDO), to capture, organize, govern and refresh the data required for serving the Analytics applications and ad-hoc insight delivery needs.

Manages the internal stakeholder expectations, coordinates the technical delivery of solution components, assures the efficiency and scalability of the applications developed by the off-shore service delivery teams and monitors and measures the services received against the SLAs.

Responsibilities/Duties

Business as Usual Service Delivery:

• Manage the service demands and liaise with business stakeholders to verify analytic and insight needs and eliminate ambiguity.
• Manage Stakeholder expectations by providing achievable timelines for outputs and ensuring stakeholder satisfaction with results.
• Actively solicit stakeholder feedback for improving the Analytics services.
• Propose appropriate recommendations for service, process and application improvements and optimization needs based on user/stakeholder feedback.
• Promote the use of Self-Served analytics and insights delivered via the QlikView, Tableau, Power BI applications/tools)
• Be part of the CoE for Reporting & Analytics services and assist the Self-Service users, providing guidance on the applications served.
• Deliver and maintain the standards/principles, and advocate the best practice use of the Self-Service capabilities to ensure the consistency of delivered insights.
• Liaise with the relevant service teams (e.g. IT, SDC, GCDO ) to resolve any system availability and performance issues.
• Assure the Quality, Accuracy and Security of any outputs prior to sign-off and release.
• Ensure all outputs include the terms & conditions clauses.

Application / Project Delivery:

• Explore the Business Operations data and proactively identify opportunities for innovation and application of advanced Analytics capabilities to deliver data-centric business insights that support business decisions.
• Facilitate resolution of complexities and simplification of solution options by bringing together business and technical SMEs, Solution Architects and other relevant resources.
• Manage the delivery of Proof of Concept projects and work with the Analytics and Data Solutions Lead to formulate the business case for any new and innovative products and applications.
• Work with Analytics & Data Solutions Lead to formulate the product roadmap and the at scale implementation strategy.
• Manage the transition of implemented products and applications into business as usual service.

Skills & Knowledge

• Management of Analytics resources to support simultaneous business demands whilst meeting deadlines in a fast-paced, constantly changing environment
• Proven ability to solve problems, handle conflicts, anticipate issues/concerns, troubleshoot problems, and proactively institute creative solutions quickly and in detail
• Ability to establish strong working relationships with other dependent functions and departments.
• Strong written and verbal communication, presentation, and technical writing skills
• Knowledge and experience working with Databases, BI tools and visualization tools (e.g. SQL, QlikView, Power BI, Tableau, Alteryx etc.)
• Familiarity with Financial Services and Management Consulting industries
• Knowledge of working with large data sets performing data analysis, data visualization, data mining, and data cleansing/transformation/processing
• Education (desirable)Educated to Degree level - Information Systems and/or Business Intelligence disciplines.

Experience

• Extensive Design/Development experience of Analytic solutions
• Experience with direct supervision of on/off-shore delivery teams and complex BI project lead experience
• Proven experience of delivering data-driven, cross domain, cross functional strategic, tactical and operational insights, ideally in a financial services or professional services business environment.
• Experience working as part of a Reporting & Analytics team using BI tools (e.g. Oracle, SAS, Power BI, QlikView, Tableau etc.)
• Experience working with database developers and data engineers to ensure the data points are optimally tuned and structured for advanced analytic applications.
• Experience using open source data to enrich analytic outputs.
• Experience working in a Global business environment.
• Experience designing or working with relational and dimensional models and Analytical data marts/cubes (e.g. OLAP cubes)
• Experience working with ERP, CRM, Finance and HC/HR products in a global environment

Key Stakeholders

Internal:

• Global Network Operations
• Global Clients & Industries
• Global Finance Operations
• Global Data Governance/Operations (part of Global CDO)

External:

• Other Lines of Services
• Client Relationship Partners
• Offshore IT teams

Not the role for you?

Did you know PwC offer flexible contract arrangements as well as contingent work ( ie temporary or day rate contracting)?

The skills we look for in future employees

All our people need to demonstrate the skills and behaviours that support us in delivering our business strategy. This is important to the work we do for our business, and our clients. These skills and behaviours make up our global leadership framework, ‘The PwC Professional’ and are made up of five core attributes; whole leadership, technical capabilities, business acumen, global acumen and relationships.

To apply, please visit our website via the button below.

Diversity

We work in a changing world which offers great opportunities for people with diverse backgrounds and experiences. We seek to attract and employ the best people from the widest talent pool, as well as those who reflect the diverse nature of our society. And we aim to encourage a culture where people can be themselves and be valued for their strengths. Creating value through diversity is what makes us strong as a business and as an organisation with an increasingly agile workforce, we're open to flexible working arrangements where appropriate.

Learn more here www.pwc.com/uk/diversity