Bi And Data Analyst

Формат работы

onsite

Тип работы

fulltime

Грейд

middle/senior

Английский

Страна

Вакансия из Hirify Global, списка международных tech-компаний
Для мэтча и отклика нужен Plus

Мэтч & Сопровод

Для мэтча с этой вакансией нужен Plus

Описание вакансии

Текст:

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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