Hybrid BI Analyst for Finance Analytics & Dashboards

Onetag; Milano; Hybrid; EUR 40,000 - 50,000; Full time

Benefits offered by this job

€10 meal vouchers

Hybrid work arrangement

Growth opportunities

Job summary

Onetag, the next-generation value exchange for the open internet, is seeking a BI Analyst to join the Finance Unit and help shape BI 2.0. You will translate business questions into data products, learn the data landscape, and build reliable, decision-ready reporting.

From day one you will work with Finance, Data Science and Data Engineering to deliver dashboards, KPI governance, and stakeholder relationships, with a path toward independent BI ownership.

Qualifications

• Degree in Economics, Finance, Management Engineering or a related field or equivalent professional experience.
• 3–5 years of experience in BI, data analytics, business analysis or FP&A, connecting data and stakeholders.
• Experience with BI platforms (QuickSight a plus; Tableau, Power BI or Looker also valued).
• Strong Excel skills and exposure to Finance systems like Netsuite.

Responsibilities

• Contribute to delivery and improvement of the QuickSight dashboard suite covering revenue, margin, opex, cash and performance vs budget and prior year.
• Consolidate the Finance data mart with Data Engineering, connecting AWS/OT ad-serving data with Netsuite and Excel sources.
• Support P&L comparability across Onetag and other Holding companies.
• Maintain and evolve the KPI dictionary with formulas, sources, refresh cadence and ownership.
• Gradually take end-to-end ownership of dashboards and analytics workstreams.

Skills

BI platforms

SQL

Excel

KPI governance

Stakeholder management

Financial reporting

Education

Degree in Economics, Finance, Management Engineering or related field

Tools

QuickSight

Tableau

Power BI

Looker

Netsuite

Job description

Onetag, the next-generation value exchange for the open internet, is seeking a BI Analyst to join the Finance Unit and help shape BI 2.0. You will translate business questions into data products, learn the data landscape, and build reliable, decision-ready reporting.

From day one you will work with Finance, Data Science and Data Engineering to deliver dashboards, KPI governance, and stakeholder relationships, with a path toward independent BI ownership.