Business Intelligence Analyst

Bengaluru - India

Monthly Salary: Not Disclosed

Posted on: 2 days ago

Vacancies: 1 Vacancy

Job Summary

This individual will leverage advanced analytics and data science techniques to support the Commercial Sales organization through actionable insights predictive modeling and data-driven strategies. The role is critical in enabling evidence-based decision-making optimizing prospecting efforts and driving commercial growth through sophisticated data analysis.

Key Responsibilities:

Advanced Data Mining & Prospecting:
Utilize prospecting tools (e.g. Informa Suite Zymewire LinkedIn Sales Navigator) and apply data science techniques to identify high-value prospects and optimize territory planning.
Predictive & Prescriptive Analytics:
Develop and implement predictive models to inform strategic decisions and prioritize sales efforts.
Data Integration & Automation:
Design and maintain automated data pipelines to consolidate information from CRM systems (SFDC) prospecting tools and internal databases for real-time reporting.
Visualization & Storytelling:
Create dynamic dashboards and visualizations using Tableau Power BI Salesforce CRM Analytics or Spotfire to communicate insights effectively to senior leadership.
Sales Performance Analysis:
Conduct deep-dive analyses on sales trends pipeline health and conversion metrics to identify growth opportunities and operational efficiencies.
Cross-functional Collaboration:
Partner with Sales Marketing and Operations teams to translate business questions into analytical solutions and actionable recommendations.
Continuous Improvement:
Stay current with emerging data science tools and techniques to enhance analytical capabilities and drive innovation within the Commercial organization.

Critical Success Factors:

Strong analytical and statistical modeling skills
Ability to translate complex data into actionable insights
Proficiency in managing multiple projects in a matrix environment
Effective communication with senior business leadership

Technical Skills:

Advanced proficiency in Python or R for data analysis and modeling
Expertise in SQL for data extraction and transformation
Strong knowledge of data visualization tools (Tableau Power BI Spotfire)
Familiarity with CRM systems (Salesforce) and commercial analytics tools

Experience Recommended:

Minimum 4 years in data analytics or data science roles supporting sales or commercial functions
Proven experience building predictive models and advanced analytics solutions
Excellent written and oral communication skills
Industry knowledge preferred

Education/Qualifications:

Bachelors degree in Data Science Statistics Computer Science Business Analytics or related field (Masters preferred)

Learn more about our EEO & Accommodations request here.

Required Experience:

Key Responsibilities:

Advanced Data Mining & Prospecting:
Utilize prospecting tools (e.g. Informa Suite Zymewire LinkedIn Sales Navigator) and apply data science techniques to identify high-value prospects and optimize territory planning.
Predictive & Prescriptive Analytics:
Develop and implement predictive models to inform strategic decisions and prioritize sales efforts.
Data Integration & Automation:
Design and maintain automated data pipelines to consolidate information from CRM systems (SFDC) prospecting tools and internal databases for real-time reporting.
Visualization & Storytelling:
Create dynamic dashboards and visualizations using Tableau Power BI Salesforce CRM Analytics or Spotfire to communicate insights effectively to senior leadership.
Sales Performance Analysis:
Conduct deep-dive analyses on sales trends pipeline health and conversion metrics to identify growth opportunities and operational efficiencies.
Cross-functional Collaboration:
Partner with Sales Marketing and Operations teams to translate business questions into analytical solutions and actionable recommendations.
Continuous Improvement:
Stay current with emerging data science tools and techniques to enhance analytical capabilities and drive innovation within the Commercial organization.

Critical Success Factors:

Strong analytical and statistical modeling skills
Ability to translate complex data into actionable insights
Proficiency in managing multiple projects in a matrix environment
Effective communication with senior business leadership

Technical Skills:

Advanced proficiency in Python or R for data analysis and modeling
Expertise in SQL for data extraction and transformation
Strong knowledge of data visualization tools (Tableau Power BI Spotfire)
Familiarity with CRM systems (Salesforce) and commercial analytics tools

Experience Recommended:

Minimum 4 years in data analytics or data science roles supporting sales or commercial functions
Proven experience building predictive models and advanced analytics solutions
Excellent written and oral communication skills
Industry knowledge preferred

Education/Qualifications: