Senior Data Analyst (Tableau / SQL / Snowflake)

Senior Data Analyst (Tableau / SQL / Snowflake)

Full-Time 45000 - 55000 £ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Own the delivery of data products and create impactful visual analytics.
  • Company: Leading real estate client with a growing Data & Analytics practice.
  • Benefits: Competitive salary, flexible working, and opportunities for professional growth.
  • Other info: Work in a dynamic environment with a focus on data literacy.
  • Why this job: Make a real impact by translating complex data into actionable insights.
  • Qualifications: 5+ years in data analytics, expert in Tableau and SQL.

The predicted salary is between 45000 - 55000 £ per year.

Our leading real estate client is looking for a Senior Data Analyst to join a growing Data & Analytics practice. You will take ownership of delivery data products from scoping, development to stakeholder delivery and training across complex, multi-source environments. This is a high-impact role suited to someone who combines deep technical expertise with strong commercial awareness and the ability to translate complex data into clear, actionable insight.

  • Design, build, and optimise dashboards and self-service analytics in Tableau
  • Translate complex business requirements into clear, outcome-focused visual analytics
  • Define and enforce visualisation standards and best practices across the team
  • Drive analytics adoption and data literacy across business stakeholders

5+ years of experience in data analytics, data visualisation, or BI consulting

Expert-level Tableau including LOD expressions, calculated fields, and enterprise deployment

Advanced SQL across one or more of: Snowflake, Oracle, SQL Server, PostgreSQL

Candidates have to be available within 4 weeks and be happy to work in London three days per week.

Senior Data Analyst (Tableau / SQL / Snowflake) employer: WSS Associates

WSS Associates is an exceptional employer that values innovation and collaboration, providing a dynamic work environment for professionals in the real estate sector. With a strong focus on employee development, you will have access to ongoing training and growth opportunities while working alongside a talented team dedicated to delivering impactful solutions. Located in the UK, our culture promotes work-life balance and inclusivity, making it a rewarding place to advance your career.

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Contact Details:

WSS Associates Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Senior Data Analyst (Tableau / SQL / Snowflake)

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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like WSS Associates.

Apply Directly through Our Website

When you find a suitable opening like Senior Data Analyst (Tableau / SQL / Snowflake) at WSS Associates, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!

We think you need these skills to ace Senior Data Analyst (Tableau / SQL / Snowflake)

Tableau
SQL
Snowflake
Data Visualisation
Business Intelligence (BI) Consulting
Data Analytics
Dashboard Design

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 WSS Associates, 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 WSS Associates. 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 WSS Associates

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 WSS Associates!

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.