We are looking for a Senior Data Analyst to join our data team and serve as a key analytical partner to the business.
In this role, you will turn large-scale cloud usage data into insights that influence product decisions, customer value, and company growth.
This role goes beyond technical analysis. It requires strong business understanding and the ability to connect data to real-world outcomes.
As an independent function working closely with development teams, your insights will directly impact research quality, prioritization, and decision-making across the company.
Your Ownership Will Include:
Analyze data from cloud service providers and additional internal and external sources, with a clear focus on business and product impact.
Structure, clean, and organize unstructured and semi-structured data.
Investigate anomalous activity and assess product, customer, and business risks.
Translate complex analyses into clear, actionable insights for decision-makers.
Create concise reports that highlight trends, risks, and opportunities.
Define, track, and refine core product and business metrics.
Contribute to dashboards that support data-driven decisions across the organization.
Work closely with Product and Engineering teams as an independent analytical partner.
Operate autonomously with strong ownership, accountability, and attention to detail.
In this role, you will turn large-scale cloud usage data into insights that influence product decisions, customer value, and company growth.
This role goes beyond technical analysis. It requires strong business understanding and the ability to connect data to real-world outcomes.
As an independent function working closely with development teams, your insights will directly impact research quality, prioritization, and decision-making across the company.
Your Ownership Will Include:
Analyze data from cloud service providers and additional internal and external sources, with a clear focus on business and product impact.
Structure, clean, and organize unstructured and semi-structured data.
Investigate anomalous activity and assess product, customer, and business risks.
Translate complex analyses into clear, actionable insights for decision-makers.
Create concise reports that highlight trends, risks, and opportunities.
Define, track, and refine core product and business metrics.
Contribute to dashboards that support data-driven decisions across the organization.
Work closely with Product and Engineering teams as an independent analytical partner.
Operate autonomously with strong ownership, accountability, and attention to detail.
Requirements:
5+ years of experience as a Data Analyst in a data-driven environment.
Strong ability to connect data to business context and measurable impact.
Experience working independently and influencing decisions without formal authority.
Excellent analytical skills and attention to detail.
3+ years of hands-on experience with SQL and NoSQL databases.
Experience with BI tools such as Tableau or similar platforms.
Strong proficiency in Python and common data analysis libraries.
Ability to define and communicate meaningful metrics to technical and non-technical stakeholders.
Solid understanding of statistics and probability theory.
Experience working with developers on data schemas and data flows.
B.Sc. in a quantitative or exact science field (e.g., Statistics, Economics, Computer Science, Mathematics, Physics).
Fluent English (written and spoken).
Nice to Have:
Experience with Databricks and/or PySpark.
Familiarity with AWS and/or Azure services.
Experience with time series analysis.
Hands-on experience with AWS Cost and Usage Reports (CUR).
M.Sc. or PhD in a quantitative or exact science discipline.
5+ years of experience as a Data Analyst in a data-driven environment.
Strong ability to connect data to business context and measurable impact.
Experience working independently and influencing decisions without formal authority.
Excellent analytical skills and attention to detail.
3+ years of hands-on experience with SQL and NoSQL databases.
Experience with BI tools such as Tableau or similar platforms.
Strong proficiency in Python and common data analysis libraries.
Ability to define and communicate meaningful metrics to technical and non-technical stakeholders.
Solid understanding of statistics and probability theory.
Experience working with developers on data schemas and data flows.
B.Sc. in a quantitative or exact science field (e.g., Statistics, Economics, Computer Science, Mathematics, Physics).
Fluent English (written and spoken).
Nice to Have:
Experience with Databricks and/or PySpark.
Familiarity with AWS and/or Azure services.
Experience with time series analysis.
Hands-on experience with AWS Cost and Usage Reports (CUR).
M.Sc. or PhD in a quantitative or exact science discipline.
This position is open to all candidates.
