At a Glance
- Tasks: Drive data quality improvements and create impactful analytics for decision-making.
- Company: Join a leading firm focused on data-driven insights and innovation.
- Benefits: Flexible working, private medical cover, and generous volunteering days.
- Other info: Collaborative environment with opportunities for personal and professional growth.
- Why this job: Be at the forefront of AI and data quality transformation in a dynamic team.
- Qualifications: Experience in data analysis and Power BI, with strong problem-solving skills.
The predicted salary is between 45000 - 55000 £ per year.
This is a key role within our Data & Insights team, delivering data quality frameworks, products, and analytics that enable data-driven decision-making across the firm. You'll work with stakeholders from across Business Solutions – a collection of functions that enable our people and our business to perform at their best.
We're looking for a Senior Associate to drive improvements in data quality and build the foundations that enable AI-insight generation. This role combines hands-on data analysis and Power BI capability with strategic focus on data quality – identifying root causes of poor data, designing frameworks and products to address them, and working with stakeholders to embed a culture of continuous data quality improvement.
This is an exciting time to join the team. As AI reshapes how data teams operate, this role will evolve – moving beyond reactive data cleaning towards becoming a trusted advisor who helps the firm build trustworthy data assets, ask better questions, and embed data-driven decision making at scale. We're looking for someone energised by that shift.
What your days will look like:
- Develop and implement data quality frameworks, roadmaps, and scalable controls that improve data maturity, reduce manual intervention, and increase confidence in data assets.
- Create and optimise Power BI dashboards, scorecards, monitoring tools, and semantic models to identify, track, and report on data quality issues and improvements.
- Analyse and investigate data to identify trends, anomalies, and root causes, collaborating with source system owners to resolve issues and improve data quality at source.
- Partner with stakeholders across the business to translate data quality challenges into business impact, promote data governance best practices, and drive continuous improvement through innovation, knowledge sharing, and AI-enabled solutions.
This role is for you if you’re:
- Experienced as a data analyst and Power BI developer, with strong skills in data interrogation, quality assessment, DAX, and data modelling.
- A strategic thinker who can identify root causes of data quality issues, uncover trends, and drive long-term improvements rather than short-term fixes.
- Passionate about data quality and governance, with a clear understanding of its impact on business decision-making, reporting, and AI-driven insights.
- An excellent communicator and relationship builder, able to translate technical issues into business outcomes and influence stakeholders at all levels.
- Curious and forward-thinking, with an interest in AI, automation, and innovative approaches to improving data management and analytical capability.
- Collaborative, organised, and self-motivated, with the ability to manage competing priorities, share knowledge, and deliver high-quality outcomes; experience with Databricks, Workday, or ServiceNow is advantageous.
What you’ll receive from us:
No matter where you may be in your career or personal life, our benefits are designed to add value and support, recognising and rewarding you fairly for your contributions. We offer a range of benefits including empowered flexibility and a working week split between office, home and client site; private medical cover and 24/7 access to a qualified virtual GP; six volunteering days a year and much more.
Data Quality Analyst, Senior Associate in Birmingham employer: PricewaterhouseCoopers
PricewaterhouseCoopers is an exceptional employer, offering a dynamic work culture that fosters collaboration and innovation within the UK Brand team. Employees benefit from extensive professional growth opportunities, competitive compensation, and a hybrid working model that promotes work-life balance, making it an ideal environment for those passionate about brand management.
StudySmarter Expert Advice🤫
We think this is how you could land Data Quality Analyst, Senior Associate in Birmingham
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We think you need these skills to ace Data Quality Analyst, Senior Associate in Birmingham
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at PricewaterhouseCoopers, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at PricewaterhouseCoopers. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at PricewaterhouseCoopers
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at PricewaterhouseCoopers!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
