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Data Analyst / Tableau Developer

Remote: 
Full Remote
Contract: 
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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
Digital Data Foundation Hrtech: Human Resources + Technology Startup https://www.digitaldatafoundation.com
2 - 10 Employees
See more Digital Data Foundation offers

Job description

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



Required profile

Experience

Industry :
Hrtech: Human Resources + Technology
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Problem Solving
  • Verbal Communication Skills
  • Analytical Skills

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