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Data Analyst / Tableau Developer

72% Flex
Full Remote
  • Remote from:United Kingdom
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Data Analyst / Tableau Developer

72% Flex
Remote: Full Remote
Work from: United Kingdom...

Offer summary

Qualifications: Degree in Computer Science or related field, Tableau development proficiency.

Key responsabilities:

  • Translate business requirements into data products
  • Visualize data using Tableau dashboards
  • Identify and interpret trends in data
  • Maintain, improve and develop data solutions
Digital Data Foundation logo
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Digital Data Foundation
Hrtech: Human Resources + TechnologyStartup

http://www.digitaldatafoundation.com

2 - 10 Employees

Job description

Logo JobgetherYour missions

Tableau Developer / Data Analyst

£ Excellent Salary + Benefits - London - Agile / hybrid working

James Carrera of Digital Data Foundation is sourcing an experienced Tableau Developer / Data Analyst to join an Award Winning Global Law Firm at the forefront of their industry in the disruption of legal service delivery. Drive Data Analytics & Visualisation engagement across key internal and high-profile external clients

Responsibilities

Understand business requirements from internal and external stakeholders, develop data products to solve critical business problems, choosing best fit data model;

  • Data product lifecycle; data gathering, preparation, analysis & visualization
  • Build dashboards using Tableau to visualize analysis and report on KPIs
  • Identify, analyse, and interpret trends or patterns in complex data
  • Maintain & improve existing data solutions, reports and dashboards
  • Develop new data products using advanced analytics, visualization & machine learning

Experience

Educated to degree level in Computer Science, Information Systems, Software Engineering, or related subject as well as;

  • Dashboard development in Tableau. Tableau Desktop and Tableau Prep
  • Advanced tableau functionality; filters, functions, table calculations, LODs.
  • Developing Tableau stories and deploying tableau dashboards in production
  • UI/UX fundamentals including visualization theory and best practices
  • Data science concepts and techniques (statistics, clustering, segmentation, classification, regression etc.)
  • Machine learning algorithms, its development on real-world datasets
  • Excellent analytical and problem-solving skills to analyse complex datasets and translate it into meaningful visualisations

For a confidential discussion contact James Carrera

Digital Data Foundation


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Hard Skills
Soft Skills
  • Analytical and problem-solving skills
  • Visualization theory understanding

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