Location Liverpool, Manchester, Newcastle-upon-Tyne, Nottingham Ready to apply Before you do, make sure to read all the details pertaining to this job in the description below.
About the job Job summary Discover a career in your hands at HMRC.
Whether you're seeking purpose, growth, or a workplace that gives you a true sense of belonging, hear from some of our employees as they share their story about what its really like to work at HMRC.
At HMRC we are committed to creating a great place to work for all our colleagues; an inclusive and respectful environment that reflects the diversity of the society we serve.
The mission of People Analytics and Insight (PAI) is to To positively influence the engagement and effectiveness of our colleagues, by empowering HMRC to unlock the value of people information & insight, via our expert products & services.
This role sits within the Customer Delivery team within PAI, which is one of three capability areas along with Strategy and Design; and Optimisation.
The Customer Delivery team is focussed on helping internal customers get the most value out of people insight by addressing the business problems which are most relevant to them (e.g., key workforce issues).
The team deliver insightful products and services which ensure our customers take decisions which are underpinned by evidence.
This Senior Officer role will lead the delivery of data science projects to provide high quality analytical insight, with the ambition of effecting real change within the Department, improving the working lives of our 65,000 employees.
Job description Key Responsibilities Understand the need for sound people analytics and insight to enable HMRC to shape its future through evidence-based decision-making.
Interpret stakeholder needs and identify appropriate research questions.
Using all available information design analytical projects to best answer research questions, ensuring analytical outcomes are aligned to a strategy vision.
Develop logical project delivery plans, making efficient use of resource and factoring in any related risks and dependencies.
Collaborate and effectively communicate with senior stakeholders to ensure user needs are met and expectations are managed.
Effectively set priorities, objectives and timescales for project work.
Communicating these appropriately with key stakeholders.
Lead a team of analysts to deliver impactful analysis, with a strong focus on attention to detail to ensure outputs meet quality standards.
Foster an innovative environment to achieve shared goals.
Effectively communicate data findings and insights to both technical and non-technical stakeholders, ensuring a clear understanding of the implications to the business.
Support and mentor the team to deliver projects and develop their analytical skills.
Line Management/mentoring responsibilities of data analysts.
Person specification This role requires an individual who can lead others, take the initiative and work with minimal supervision.
You have experience of designing and delivering analytical and insight projects.
You pay attention to details.
You are patient, level-headed and calm under pressure.
You have a collaborative approach.
You are keen to work with others to achieve progress against shared objectives.
You can think on your feet and take the initiative, making decisions when needed, are accountable for your actions and your performance but can escalate risks and issues as appropriate.
You can build effective working relationships with a wide range of stakeholders, including senior analytical managers.
You have a positive approach to problem solving.
Essential Criteria Knowledge of a range of data science techniques and ability to select the most appropriate technique for the research question.
Experience of the following 3 areas: - Manipulating large datasets (e.g.
data flows, transformation, code efficiency) - Basic statistics (e.g.
hypothesis testing, correlation) - A complex statistical method (e.g.
regression modelling, forecasting, natural language analysis, cluster analysis, simulation).
Demonstrated track record delivering analysis using statistical software packages such as R studio / SAS.
Experience of scoping, planning and delivering impactful analytical projects (delivering to stakeholder needs, timescales and quality standards).
Ability to bring together information from multiple sources and build up a collective picture to answer a research question.
Knowledge and experience of using data storytelling principles to develop a coherent and engaging narrative that helps to influence the audience, enabling them to make evidence-based decisions.
Applicants must hold an undergraduate degree (minimum of 2:2) with coverage of analytical and data science techniques OR have at least 3 years experience of working in an analytical/data science field.
Desirable Criteria Experience of line management experience or supporting/coaching less experienced analysts to develop their skills.
Strong collaboration and communication skills to ensure customer/senior stakeholder requirements are met and expectations are managed.
Experience using BI platforms such as PowerBI or Tableau.
Behaviours We'll assess you against these behaviours during the selection process: Communicating and Influencing Delivering at Pace Seeing the Big Picture Technical skills We'll assess you against these technical skills during the selection process: Technical skills question Benefits Alongside your salary of £44,110, HM Revenue and Customs contributes £12,778 towards you being a member of the Civil Service Defined Benefit Pension scheme.Find out what benefits a Civil Service Pension provides.
HMRC operates both Flexible and Hybrid Working policies, allowing you to balance your work and personal commitments.We welcome applications from those who need to work a more flexible arrangement and will agree to requests where possible, considering our operational and customer service needs.
We offer a generous leave allowance, starting at 25 days and increasing by a day for every year of qualifying service up to a maximum of 30 days.
Pension- We make contributions to our colleagues Alpha pension equal to at least 28.97% of their salary.
Family friendly policies.
Personal support.
Coaching and development.
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