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- Tasks: Design and implement high-quality analytics solutions for clients using advanced tools.
- Company: Join KPMG, a leading global consultancy known for innovation and quality.
- Benefits: Flexible working options, competitive salary, and opportunities for professional growth.
- Other info: Collaborative environment with opportunities to coach and mentor others.
- Why this job: Make an impact by solving complex business problems with cutting-edge technology.
- Qualifications: Experience as a Data Analyst, strong skills in Alteryx, SQL, and data visualisation tools.
The predicted salary is between 36000 - 60000 ÂŁ per year.
We are looking for a Senior Data Analyst to join our Tax Technology & Innovation team. This role will be based anywhere in the UK â preference will be given to candidates in London â and will require regular travel to London. While prior tax domain knowledge is not required, you should be able to quickly acquire domain expertise over time.
The KPMG Tax Technology & Innovation team is a multidisciplinary group of technology consultants, business analysts, product owners, data architects & engineers, and IT service delivery professionals. We develop and deliver innovative technology solutions across Tax & Legal to help our clients meet their tax obligations efficiently.
Qualifications- Previous experience as a Data Analyst or Analytics Engineer.
- Recent experience using advanced analytics to solve complex business problems.
- Excellent knowledge of Alteryx, ideally with the Alteryx Designer certification.
- Experience manipulating large data sets.
- Awareness of data visualisation tools â e.g. Power BI, Tableau.
- Experience with SQL Server and/or Azure SQL and an understanding of SQL programming.
- Strong problemâsolving skills with the ability to logically analyse complex requirements, processes and systems.
- Strong teamwork and interpersonal skills, being able to engage with a wide range of stakeholders.
- Experience using the Azure data platform; Synapse Analytics, Data Lake, SQL Data Warehouse & Fabric.
- Programming experience using R or Python.
- Worked with Agile teams using Scrum or the Scaled Agile framework.
- Alteryx Advanced or Expert certifications.
- Play a key role in the design and implementation of highâquality analytics solutions for internal and external clients.
- Work with teams of analysts using Alteryx and related tools to automate a variety of ETL and reporting processes for internal and external clients.
- Collaborate with BI developers to develop visualisations, providing insights to our clients.
- Coach and mentor others to help them achieve their potential.
- Engage with a range of stakeholders, both internally and with clients.
KPMG is one of the world's largest and most respected consultancy businesses, supporting clients across the globe with leading technology solutions. We place a strong emphasis on innovation and quality, investing heavily in technology to deliver excellent solutions for our clients.
Data Analyst in Westminster employer: KPMG International Cooperative
Contact Detail:
KPMG International Cooperative Recruiting Team
StudySmarter Expert Advice đ¤Ť
We think this is how you could land Data Analyst in Westminster
â¨Tip Number 1
Network like a pro! Reach out to current or former employees at KPMG on LinkedIn. A friendly chat can give you insider info and maybe even a referral, which can really boost your chances.
â¨Tip Number 2
Prepare for the interview by brushing up on your technical skills. Make sure you're comfortable discussing Alteryx, SQL, and data visualisation tools. We want you to shine when they ask about your experience!
â¨Tip Number 3
Show off your problem-solving skills! Be ready to share examples of how you've tackled complex data challenges in the past. This is your chance to demonstrate your analytical prowess.
â¨Tip Number 4
Donât forget to apply through our website! Itâs the best way to ensure your application gets seen by the right people. Plus, it shows youâre serious about joining the team.
We think you need these skills to ace Data Analyst in Westminster
Some tips for your application đŤĄ
Tailor Your CV: Make sure your CV is tailored to the Data Analyst role. Highlight your experience with Alteryx, SQL, and any data visualisation tools you've used. We want to see how your skills match what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data analysis and how you can contribute to our Tax Technology & Innovation team. Keep it engaging and relevant to the job description.
Showcase Your Problem-Solving Skills: In your application, give examples of how you've tackled complex business problems using advanced analytics. We love seeing real-world applications of your skills, so don't hold back on the details!
Apply Through Our Website: We encourage you to apply directly through our website. Itâs the best way for us to receive your application and ensures youâre considered for the role. Plus, itâs super easy to do!
How to prepare for a job interview at KPMG International Cooperative
â¨Know Your Tools Inside Out
Make sure youâre well-versed in Alteryx, SQL, and any data visualisation tools like Power BI or Tableau. Brush up on your skills and be ready to discuss how you've used these tools in past projects. Being able to demonstrate your technical expertise will definitely impress the interviewers.
â¨Showcase Problem-Solving Skills
Prepare examples of complex business problems you've solved using advanced analytics. Think about specific scenarios where your analytical skills made a significant impact. This will help you illustrate your strong problem-solving abilities, which are crucial for the role.
â¨Understand the Companyâs Focus
Familiarise yourself with KPMG's Tax Technology & Innovation team and their approach to technology solutions. Knowing their mission and recent projects can help you tailor your answers and show that you're genuinely interested in contributing to their goals.
â¨Engage with Stakeholders
Since this role involves collaboration with various stakeholders, think about how youâve successfully engaged with different teams in the past. Be ready to discuss your teamwork and interpersonal skills, as well as how youâve coached or mentored others in your previous roles.