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6 дней назад

Data and Reporting Analyst - Support Services

2 790 - 3 376
Формат работы
hybrid
Тип работы
fulltime
Английский
b2
Страна
Estonia
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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TL;DR
Data and Reporting Analyst - Support Services (SQL/Data Analytics): Analysing Support and Operations data, building dashboards in Sigma Computing, and automating recurring reporting with an accent on reliable metrics, data modelling, and multi-source reconciliation. Focus on querying cloud warehouse data, integrating systems such as Power BI, Excel and Salesforce, and turning stakeholder requirements into actionable operational insights.

Location: Tallinn, Harjumaa, Estonia. Hybrid working with an office-first culture; working hours are Monday to Friday, 8-hour days, with a start time between 10:00 and 20:00.

Salary: €2,790–€3,376 gross per month.

Company

hirify.global uses sports technology and live data to create immersive, interactive and personalised experiences for sports fans worldwide.

What you will do

  • Analyse Support and Operations data to identify trends, answer operational questions and support evidence-based decisions.
  • Gather, clarify and document analytics and reporting requirements from account management, customers, product development and other stakeholders.
  • Use SQL to query, validate, combine and investigate data from the company’s cloud data warehouse.
  • Develop, maintain and improve dashboards, reports and analytical solutions in Sigma Computing.
  • Contribute to data modelling and transformation activities.
  • Integrate and reconcile data from Power BI, Excel, Salesforce, Monday.com and warehouse systems, while automating recurring reporting tasks.

Requirements

  • Working knowledge of SQL, including data extraction, filtering, joins, aggregation and validation.
  • Experience in data analysis, interpreting business requirements, investigating data and communicating findings.
  • Experience with Microsoft Power BI and Sigma Computing or another business-intelligence and data-visualisation platform.
  • Knowledge of relational databases and core data concepts, with confidence working with structured data.
  • Experience handling complex Excel workbooks, including advanced formulas.
  • Experience integrating, comparing or reconciling data from multiple sources, with strong documentation discipline and consistent analytical standards.

Nice to have

  • Experience with Snowflake, dbt, Python or R.
  • Experience with Excel macros or automation.

Culture & Benefits

  • Office-first culture with opportunities to collaborate, connect and learn together.
  • Benefits plan alongside a competitive salary.
  • Focus on employee wellbeing and professional growth.
  • Inclusive environment built around belonging and the ability to make a difference.

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