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4 часа назад

Bi And Data Analyst

Формат работы
onsite
Тип работы
fulltime
Грейд
middle/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

BI and Data Analyst: Delivering high-impact analytics, from data cleaning and ETL automation to intuitive Power BI dashboards with an accent on standardizing unstructured data into a single source of truth. Focus on making data accessible and indispensable for KPI-led culture.

Location: London

Company

hirify.global empowers content creators and rights holders to tell their stories in breakthrough ways.

What you will do

  • Design, build, and maintain high-performance Power BI dashboards delivering timely, actionable insights to global stakeholders.
  • Perform advanced data cleansing, transformation, and ETL automation using Power Query and related tools to standardize disparate data sources.
  • Translate business objectives into clearly defined, reliable KPIs and metrics, ensuring consistent interpretation across the organization.
  • Develop and optimize automated data pipelines to eliminate manual reporting and improve data accuracy and efficiency.
  • Conduct thorough data validation, QA, and UAT to ensure accuracy and trust in all BI outputs.
  • Partner with business stakeholders to gather requirements and deliver clear, meaningful data storytelling in plain language.

Requirements

  • 3–5+ years of experience in Business Intelligence, data analysis, or analytics, with a strong portfolio of Power BI projects.
  • Advanced proficiency in Power BI, Power Query, and DAX, including complex measures and data models.
  • Expert-level Excel skills (advanced formulas, Power Pivot, and data modeling).
  • Working knowledge of SQL for querying and extracting data from relational databases.
  • Strong analytical mindset with exceptional attention to detail and comfort working with unstructured or imperfect data.
  • Ability to communicate technical concepts clearly to non-technical audiences and influence decision-making with data.

Nice to have

  • Degree in Mathematics, Statistics, Computer Science, Finance, or a related field (or equivalent professional experience); project-based or media/broadcast experience is a plus

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