Staff Business Intelligence Analyst

Role Overview:

At NetApp, as a Staff Business Intelligence Analyst, you will collaborate with various teams such as Product, Engineering, Finance, and Business Operations to define crucial metrics, design scalable dashboards, and create the foundational analytics for guiding significant business decisions. Your role will involve not only providing insights but also shaping the overall analytics strategy for the company.

Key Responsibilities:

• Define KPIs, metric frameworks, and analytical models to steer business and product decisions effectively.
• Utilize BI tools like Power BI, Tableau, Looker, and ThoughtSpot to develop comprehensive dashboards for both technical and non-technical audiences.
• Work with data warehousing technologies such as Snowflake, Redshift, and BigQuery to model layered datasets for analytical purposes.
• Collaborate with IT and Data Engineering teams to source, transform, validate, and operationalize data.
• Proficient in SQL and capable of crafting complex queries on large, structured, and semi-structured datasets.
• Engage with cross-functional teams including Product, Engineering, and Business Operations to translate data into actionable strategies.
• Ensure data integrity, governance, and maintain analytical quality assurance standards.

Qualifications Required:

• Bachelors degree in Business, Analytics, Computer Science, Engineering, or a related field; or equivalent practical experience.
• Minimum of 10 years of professional experience in Business Intelligence, Analytics, or Data Insights roles, showcasing impact at an enterprise scale.
• Strong expertise in defining KPIs, metric frameworks, and analytical models for driving business and product decisions.
• Proficiency in BI tools like Power BI, Tableau, Looker, and ThoughtSpot, and experience in constructing robust dashboards.
• Experience working with data warehousing technologies like Snowflake, Redshift, and BigQuery for analytics.
• Ability to collaborate effectively with IT and Data Engineering teams to manage data processes.
• Familiarity with SQL is required, along with the ability to write complex queries.
• Strong understanding of data integrity, governance, and analytical quality assurance principles.

Note: The job description did not include any additional details about the company. Role Overview:

At NetApp, as a Staff Business Intelligence Analyst, you will collaborate with various teams such as Product, Engineering, Finance, and Business Operations to define crucial metrics, design scalable dashboards, and create the foundational analytics for guiding significant business decisions. Your role will involve not only providing insights but also shaping the overall analytics strategy for the company.

Key Responsibilities:

• Define KPIs, metric frameworks, and analytical models to steer business and product decisions effectively.
• Utilize BI tools like Power BI, Tableau, Looker, and ThoughtSpot to develop comprehensive dashboards for both technical and non-technical audiences.
• Work with data warehousing technologies such as Snowflake, Redshift, and BigQuery to model layered datasets for analytical purposes.
• Collaborate with IT and Data Engineering teams to source, transform, validate, and operationalize data.
• Proficient in SQL and capable of crafting complex queries on large, structured, and semi-structured datasets.
• Engage with cross-functional teams including Product, Engineering, and Business Operations to translate data into actionable strategies.
• Ensure data integrity, governance, and maintain analytical quality assurance standards.

Qualifications Required:

• Bachelors degree in Business, Analytics, Computer Science, Engineering, or a related field; or equivalent practical experience.
• Minimum of 10 years of professional experience in Business Intelligence, Analytics, or Data Insights roles, showcasing impact at an enterprise scale.
• Strong expertise in defining KPIs, metric frameworks, and analytical models for driving business and product decisions.
• Proficiency in BI tools like Power BI, Tableau, Looker, and ThoughtSpot, and experience in constructing robust dashboards.
• Experience working with data warehousing technologies like Snowflake, Redshift, and BigQuery for analytics.
• Ability to collaborate effectively with IT and Data Engineering teams to manage data processes.
• Familiarity with SQL is required, along with the ability to write complex queries.
• Strong understanding of data integrity, governance, and analytical quality assurance principles.

Note: The job description did not include any additional details about the company.