450 Business Intelligence Analyst jobs in Hyderabad

Hiring for Analyst -Business Intelligence - Night shift

Skills required:

Very strong experience in SQL

Strong experience in Data visualization tools (Power bi/ Tableau)

Strong in communication

Looking from Media background.

Exp - 3- 9 years

Shift - US shift (6:30 pm- 3:30 am)

Interested candidate can drop your resume on

Hiring for Analyst -Business Intelligence - Night shift

Skills required:

Very strong experience in SQL

Strong experience in Data visualization tools (Power bi/ Tableau)

Strong in communication

Looking from Media background.

Exp - 3- 9 years

Shift - US shift (6:30 pm- 3:30 am)

Interested candidate can drop your resume on

Hiring for Analyst -Business Intelligence - Night shift

Skills required:

Very strong experience in SQL

Strong experience in Data visualization tools (Power bi/ Tableau)

Strong in communication

Looking from Media background.

Exp - 3- 9 years

Shift - US shift (6:30 pm- 3:30 am)

Interested candidate can drop your resume on

Skills: Advanced SQL, Tableau, Power BI(Good to have), Python(Secondary)

Experience: 3+Years

Work Mode: Remote

Shift Timing: 3PM IST to 12AM IST

Responsibilities:

• Lead data-driven recommendations and insights to support strategic projects across Central Operations
• Lead cross-functional teams in specific initiatives; recognizes dependencies between teams; drive and clarify ownership of those dependencies
• Understand the business, track operational performance, provide insights and recommendations
• Support company-wide programs through ownership of analytical projects
• Establish strong working relationships with peers in other Global Operations teams and cross-functional partners (sales leadership, finance, sales operations, systems) to achieve objectives
• Build dashboards and automated reports, working proficiently with data visualization and querying/analysis tools (e.g., Tableau, SQL, Python)
• Own data tables, and work with stakeholders to ensure available data is accurate, consistent, and timely
• Own technical implementations and documentation associated with datasets and strive for 100% accuracy
• Comfortably identify and frame specific business problems; creates hypotheses, builds key analyses, and develops recommendations; gains alignment with stakeholders for implementation.
• Independently manage expectations from stakeholders; manages deadlines/timeframes for larger initiatives and projects with minimal guidance on prioritization or dependencies

Preferred Qualifications:

• BS degree in a quantitative discipline (statistics, operations research, computer science, information engineering, engineering, applied mathematics, economics, business analytics, etc)
• 2+ years of experience working with data in a business setting, including data management, process execution, operations, reporting, or analytics.
• 4+ years of experience in Tableau/PowerBI and SQL
• 2+ years of experience in Python
• Exceptional analytical and technical skills, with clear attention to detail
• Ability to leverage numbers and insights to influence & drive sound decision making

Skills: Advanced SQL, Tableau, Power BI(Good to have), Python(Secondary)

Experience: 3+Years

Work Mode: Remote

Shift Timing: 3PM IST to 12AM IST

Responsibilities:

• Lead data-driven recommendations and insights to support strategic projects across Central Operations
• Lead cross-functional teams in specific initiatives; recognizes dependencies between teams; drive and clarify ownership of those dependencies
• Understand the business, track operational performance, provide insights and recommendations
• Support company-wide programs through ownership of analytical projects
• Establish strong working relationships with peers in other Global Operations teams and cross-functional partners (sales leadership, finance, sales operations, systems) to achieve objectives
• Build dashboards and automated reports, working proficiently with data visualization and querying/analysis tools (e.g., Tableau, SQL, Python)
• Own data tables, and work with stakeholders to ensure available data is accurate, consistent, and timely
• Own technical implementations and documentation associated with datasets and strive for 100% accuracy
• Comfortably identify and frame specific business problems; creates hypotheses, builds key analyses, and develops recommendations; gains alignment with stakeholders for implementation.
• Independently manage expectations from stakeholders; manages deadlines/timeframes for larger initiatives and projects with minimal guidance on prioritization or dependencies

Preferred Qualifications:

• BS degree in a quantitative discipline (statistics, operations research, computer science, information engineering, engineering, applied mathematics, economics, business analytics, etc)
• 2+ years of experience working with data in a business setting, including data management, process execution, operations, reporting, or analytics.
• 4+ years of experience in Tableau/PowerBI and SQL
• 2+ years of experience in Python
• Exceptional analytical and technical skills, with clear attention to detail
• Ability to leverage numbers and insights to influence & drive sound decision making

Key Responsibilities

• Design, maintain, and enhance robust semantic data models in Power BI, ensuring accuracy, scalability, and performance.
• Build visually compelling, user-friendly Power BI dashboards and reports that deliver actionable business insights for multiple teams and stakeholders.
• Collaborate closely with business stakeholders and analysts to translate requirements into well-structured semantic models, datasets, and effective dashboards.
• Implement and optimize DAX calculations, relationships, and hierarchies within Power BI to meet diverse reporting and dashboarding needs.
• Review, refactor, and implement improvements in both semantic models and dashboards for efficiency, clarity, and best practices.
• Ensure all models and dashboards align with governance, security, and data quality standards.
• Diagnose dashboard-related issues, including data or performance bottlenecks, and implement scalable solutions.
• Support the onboarding and enablement of users for self-service BI using high-quality semantic models and reusable dashboards.
• Partner with data engineering to optimize Power BI Dataflows and connections from Snowflake to Power BI.
• Provide technical mentorship to BI analysts and power users on model and dashboard best practices.
• Stay current on Power BI features and industry trends, proactively recommending new capabilities and enhancements.

Requirements

Must-Have:

• 5+ years of experience with Power BI development.
• 5+ years in a Data Analytics role at a B2B SaaS company.
• Demonstrated expertise in building, maintaining, and improving Power BI semantic models.
• Strong knowledge of DAX, M, relational database modeling, query performance optimization, and other advanced Power BI features/functionalities.
• Ability to translate business questions and requests into an effective and efficient data story.
• Proven DAX troubleshooting and problem-solving skills.
• Excellent communication and stakeholder-management skills.

Nice-to-Have:

• Experience with Snowflake, SQL, Python, Dax Studio, Salesforce, and Pendo.
• Knowledge of data governance, cataloging, and master data management.
• A portfolio of Power BI dashboards that you have personally built yourself (example dashboards that are formatted as .PBIX, .JPEG, or .PNG files are acceptable).

Key Responsibilities

• Design, maintain, and enhance robust semantic data models in Power BI, ensuring accuracy, scalability, and performance.
• Build visually compelling, user-friendly Power BI dashboards and reports that deliver actionable business insights for multiple teams and stakeholders.
• Collaborate closely with business stakeholders and analysts to translate requirements into well-structured semantic models, datasets, and effective dashboards.
• Implement and optimize DAX calculations, relationships, and hierarchies within Power BI to meet diverse reporting and dashboarding needs.
• Review, refactor, and implement improvements in both semantic models and dashboards for efficiency, clarity, and best practices.
• Ensure all models and dashboards align with governance, security, and data quality standards.
• Diagnose dashboard-related issues, including data or performance bottlenecks, and implement scalable solutions.
• Support the onboarding and enablement of users for self-service BI using high-quality semantic models and reusable dashboards.
• Partner with data engineering to optimize Power BI Dataflows and connections from Snowflake to Power BI.
• Provide technical mentorship to BI analysts and power users on model and dashboard best practices.
• Stay current on Power BI features and industry trends, proactively recommending new capabilities and enhancements.

Requirements

Must-Have:

• 5+ years of experience with Power BI development.
• 5+ years in a Data Analytics role at a B2B SaaS company.
• Demonstrated expertise in building, maintaining, and improving Power BI semantic models.
• Strong knowledge of DAX, M, relational database modeling, query performance optimization, and other advanced Power BI features/functionalities.
• Ability to translate business questions and requests into an effective and efficient data story.
• Proven DAX troubleshooting and problem-solving skills.
• Excellent communication and stakeholder-management skills.

Nice-to-Have:

• Experience with Snowflake, SQL, Python, Dax Studio, Salesforce, and Pendo.
• Knowledge of data governance, cataloging, and master data management.
• A portfolio of Power BI dashboards that you have personally built yourself (example dashboards that are formatted as .PBIX, .JPEG, or .PNG files are acceptable).