Data Analyst - Tableau Specialist

Square One Resources
London
2 weeks ago
Applications closed

Related Jobs

View all jobs

Data Analyst

Data Analyst

Data Analyst

Data Analyst- Celonis Experience

Data Analyst - Utilities

Data Analyst – Motorsport

Job Title:Data Analyst - Tableau Specialist

Location:Remote - Ad Hoc visit to Central London office for Workshops

Salary/Rate:Up to £560 Per Day Inside IR35

Start Date:May 2025

Job Type:Contract


Company Introduction


My client within the Professional services industry are immediately seeking an experienced Tableau Data Analyst with particular emphasis with Tableau, SQL and strong Data Visualisation experience.


This is a Greenfield project so candidates will be able to have a real influence of how things are done going forward.


The successful candidate for this position would have created good-quality, usable business dashboards in Tableau, typically working with 350-400 dashboard users.


  • Excellent commercial Tableau experience is a must for this role
  • Excellent commercial SQL experience is a must for this role
  • The work involves migrating Tableau reports from the current Data Warehouse to a Snowflake Data warehouse, so Snowflake experience would be a big advantage


Required Skills/Experience


  1. Tableau expertise with strong Data Visualisation and design skills
  2. Power BI experience
  3. Proficiency with SQL, Snowflake and DBT.
  4. Familiarity with AWS or other equivalent cloud technologies, in particular Lambda, S3, Athena.


Job Responsibilities/Objectives


  1. Develop and design reports and dashboards in Tableau
  2. Update existing dashboards as part of Data Warehouse migration
  3. Data cleansing, preparation and modelling using DBT or AWS Athena
  4. Requirement gathering and translating to business needs
  5. Cloud Infrastructure knowledge will be a big advantage for this role.
  6. Experience of managing IT Assets would be a big advantage for this role.
  7. Version Control experience will be very beneficial.
  8. GIT experience will be very nice to have.


If you are interested in this opportunity, please apply now with your updated CV in Microsoft Word/PDF format.


Disclaimer


Notwithstanding any guidelines given to level of experience sought, we will consider candidates from outside this range if they can demonstrate the necessary competencies.


Square One is acting as both an employment agency and an employment business, and is an equal opportunities recruitment business. Square One embraces diversity and will treat everyone equally. Please see our website for our full diversity statement.

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Data Science Jobs at Newly Funded UK Start-ups: Q3 2025 Investment Tracker

Data science has become an indispensable cornerstone of modern business, driving decisions across finance, healthcare, e-commerce, manufacturing, and beyond. As organisations scramble to capitalise on the insights their data can offer, data scientists and machine learning (ML) experts find themselves in ever-higher demand. In the UK, which has cultivated a robust ecosystem of tech innovation and academic excellence, data-driven start-ups continue to blossom—fuelled by venture capital, government grants, and a vibrant talent pool. In this Q3 2025 Investment Tracker, we delve into the newly funded UK start-ups making waves in data science. Beyond celebrating their funding milestones, we’ll explore the job opportunities these investments have created for aspiring and seasoned data scientists alike. Whether you’re interested in advanced analytics, NLP (Natural Language Processing), computer vision, or MLOps, these start-ups might just offer the career leap you’ve been waiting for.

Portfolio Projects That Get You Hired for Data Science Jobs (With Real GitHub Examples)

Data science is at the forefront of innovation, enabling organisations to turn vast amounts of data into actionable insights. Whether it’s building predictive models, performing exploratory analyses, or designing end-to-end machine learning solutions, data scientists are in high demand across every sector. But how can you stand out in a crowded job market? Alongside a solid CV, a well-curated data science portfolio often makes the difference between getting an interview and getting overlooked. In this comprehensive guide, we’ll explore: Why a data science portfolio is essential for job seekers. Selecting projects that align with your target data science roles. Real GitHub examples showcasing best practices. Actionable project ideas you can build right now. Best ways to present your projects and ensure recruiters can find them easily. By the end, you’ll be equipped to craft a compelling portfolio that proves your skills in a tangible way. And when you’re ready for your next career move, remember to upload your CV on DataScience-Jobs.co.uk so that your newly showcased work can be discovered by employers looking for exactly what you have to offer.

Data Science Job Interview Warm‑Up: 30 Real Coding & System‑Design Questions

Data science has become one of the most sought‑after fields in technology, leveraging mathematics, statistics, machine learning, and programming to derive valuable insights from data. Organisations across every sector—finance, healthcare, retail, government—rely on data scientists to build predictive models, understand patterns, and shape strategy with data‑driven decisions. If you’re gearing up for a data science interview, expect a well‑rounded evaluation. Beyond statistics and algorithms, many roles also require data wrangling, visualisation, software engineering, and communication skills. Interviewers want to see if you can slice and dice messy datasets, design experiments, and scale ML models to production. In this guide, we’ll explore 30 real coding & system‑design questions commonly posed in data science interviews. You’ll find challenges ranging from algorithmic coding and statistical puzzle‑solving to the architectural side of building data science platforms in real‑world settings. By practising with these questions, you’ll gain the confidence and clarity needed to stand out among competitive candidates. And if you’re actively seeking data science opportunities in the UK, be sure to visit www.datascience-jobs.co.uk. It’s a comprehensive hub featuring junior, mid‑level, and senior data science vacancies—spanning start‑ups to FTSE 100 companies. Let’s dive into what you need to know.