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2 дня назад

Senior Data Analyst

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
UK
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Senior Data Analyst (Data Migration/SQL/Python): Investigating, cleansing and validating data for complex migration programmes with an accent on data quality, source-to-target reconciliation and evidence-based decision-making. Focus on profiling unfamiliar datasets, tracing anomalies to their root causes, building repeatable validation checks, and communicating migration risks to technical and non-technical stakeholders.

Location: London, United Kingdom; hybrid working model with some flexible working.

Company

hirify.global delivers digital solutions for governments, critical industries and businesses across Europe, from strategy and development through daily operations, with a focus on responsible and sovereign technology.

What you will do

  • Investigate unfamiliar datasets to understand their structure, content, relationships and variation across organisations.
  • Identify, explain and quantify data quality issues, tracing them to source records, mappings or transformations.
  • Design repeatable comparisons and reconciliation checks to validate migrated data for completeness, consistency and fidelity.
  • Write reusable SQL and Python scripts for profiling, exception detection and validation, using Azure Databricks, Git and dbt where relevant.
  • Present evidence, issues, scale and business impact through Excel, Power BI or Tableau to technical and non-technical stakeholders.
  • Work with data engineers, data owners and client stakeholders to inform mapping, cleansing and acceptance decisions.

Requirements

  • Experience profiling unfamiliar datasets and tracing data quality issues to their root cause in a migration context.
  • Strong SQL skills, including complex joins, window functions, anomaly detection and source-to-target reconciliation.
  • Working knowledge of Python and Azure Databricks or Spark SQL.
  • Familiarity with Git and dbt.
  • Ability to present evidence, scale and business impact clearly to technical and non-technical stakeholders.
  • A responsible approach to data management, ethics and privacy.

Culture & Benefits

  • Structured career development supported by a personal mentor from the leadership group.
  • Collaborative, respectful and inclusive community with equal opportunities to develop.
  • Responsible, secure and transparent approach to digitalisation.
  • 25 days’ holiday, private medical healthcare via Vitality, pension contribution and life assurance.
  • Professional certifications supported through learning and development, plus retail discounts and Employee Resource Groups.
  • Low-bureaucracy, agile and flexible working culture.

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