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2 дня назад

Data Analyst (Marketing)

Тип работы
fulltime
Грейд
junior/middle
Английский
c1
Вакансия из списка Hirify.GlobalВакансия из Hirify RU Global, списка компаний с восточно-европейскими корнями
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Описание вакансии

Текст:
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TL;DR

Data Analyst (Marketing): Extracting, cleaning, and validating large clickstream and DaaS datasets to generate actionable insights for internal and external stakeholders with an accent on storytelling and data-driven sales enablement. Focus on building repeatable methodologies, ensuring data integrity, and translating complex behavioral patterns into compelling narratives for media and marketing programs.

Company

hirify.global is a leading brand visibility platform that empowers marketers to command their online presence through AI-driven insights and expansive proprietary datasets.

What you will do

  • Clean and validate clickstream and DaaS datasets to answer complex questions about consumer behavior.
  • Create data-driven sales enablement assets like industry benchmarks and ROI narratives for pitches and RFPs.
  • Support external studies and joint reports by owning data methodology and result validation.
  • Produce fast, accurate data pulls for media opportunities and journalist requests.
  • Identify notable patterns and story angles in large datasets to explain their significance to non-technical stakeholders.
  • Develop repeatable QA standards to ensure external data stories are consistent and defensible.

Requirements

  • 1-3 years of experience in a data analyst or marketing analytics role within a digital or SaaS environment.
  • Strong proficiency in SQL, Python, and spreadsheet software for large dataset manipulation.
  • Clear English written and verbal communication skills for explaining findings to non-technical stakeholders.
  • Strong attention to detail and commitment to data integrity and methodology.
  • Collaborative mindset with an interest in partnering with Product Marketing, Content, and Communications teams.

Nice to have

  • Hands-on experience with GitHub for version control and collaborative coding.
  • Degree in Statistics, Economics, Mathematics, Data Analytics, or Marketing.
  • Experience with data visualization tools such as Looker, Tableau, or Power BI.

Culture & Benefits

  • Unlimited PTO policy.
  • Hobby and team-building budget allowance.
  • Comprehensive Employee Support Program.
  • Financial aid for loss of family members.
  • Access to various Employee Resource Groups.

Hiring process

  • Resume review by the Talent Acquisition team with feedback provided within three working days.
  • Detailed interview process focusing on professional background, personality, and work style.
  • Online meetings require a laptop/desktop, camera usage, and a quiet environment.

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