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 agile 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:
- Bachelor’s degree in Data Science, Statistics, Computer Science, Business Analytics, or related field (Master’s preferred)
Learn more about our EEO & Accommodations request here.
Apply on Kit Job: kitjob.in/job/47chji
📌 Business Intelligence Analyst (Bengaluru)
🏢 Fortrea
📍 Bengaluru
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