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У роли чёткий фокус на миграции данных, актуальные инструменты и понятные обязанности, но в консалтинге задачи могут меняться от проекта к проекту.
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Описание вакансии
Текст:
Hirify AI/Оригинал
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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