Analyst Advanced Analytics and Data Science-India
Location
Bangalore | India
Job description
About Kennametal
Business Analyst: Commercial Excellence
Location: India
Job Description:
As a Business Analyst supporting the Commercial Excellence Initiative at Kennametal, you will be pivotal in enhancing our commercial operations, optimizing processes, and maximizing revenue opportunities. You will work closely with cross-functional teams to analyze market trends, customer behaviors, and business performance metrics to drive strategic decision-making and improve commercial effectiveness.
Key Responsibilities:
1. Data Analysis and Insights Generation:
- Utilize data analytics tools and techniques to extract insights from internal and external datasets.
- Analyze market trends, customer segments, and competitive landscape to identify growth opportunities and market threats.
- Provide actionable insights to support decision-making processes across sales, marketing, and product management functions.
- Leverage AI models and machine learning algorithms to derive deeper insights from data and predict market trends, customer preferences, and sales opportunities.
2. Sales Performance Optimization:
- Collaborate with sales teams to develop performance metrics, KPIs, and dashboards to monitor sales effectiveness and efficiency.
- Identify sales process bottlenecks and inefficiencies and recommend process improvements to streamline operations and enhance customer engagement.
- Conduct sales forecast analysis and assist in developing sales strategies to achieve revenue targets.
3. Pricing and Margin Analysis:
- Analyze pricing strategies, discount structures, and margin trends to optimize pricing decisions and maximize profitability.
- Assess pricing elasticity and competitive positioning to develop pricing models that balance competitiveness with profitability.
- Work closely with finance and sales teams to implement pricing strategies and monitor pricing compliance.
4. Customer Segmentation and Targeting:
- Segment customer base based on demographic, behavioral, and transactional data to identify high-value customer segments and growth opportunities.
- Develop targeted marketing campaigns and sales strategies to engage with key customer segments and drive revenue growth effectively.
- Monitor customer segmentation trends and adjust strategies to meet evolving market demands.
5. Continuous Improvement and Project Management:
- Drive continuous improvement initiatives within the Commercial Excellence team, leveraging Lean and Six Sigma methodologies where applicable.
- Lead or contribute to cross-functional projects to enhance commercial operations, improve customer experience, and increase revenue generation.
- Collaborate with IT and business stakeholders to implement technology solutions that support commercial excellence initiatives.
Qualifications:
- Bachelor's degree in business administration, Economics, Finance, Data Analytics, or related field. Master's degree preferred.
- Proven experience in business analysis, data analytics, or related fields, preferably in a manufacturing or industrial setting.
- Proficiency in data analysis tools and software (e.g., Microsoft Excel, Power BI, Tableau, SQL).
- Strong analytical and problem-solving skills, with the ability to translate data into actionable insights and recommendations.
- Experience in building AI models and utilizing machine learning algorithms for deriving insights from data.
- Excellent communication and presentation skills, with the ability to effectively communicate complex ideas to diverse stakeholders.
- Project management experience and familiarity with Lean Six Sigma methodologies is a plus.
- Ability to work independently and collaboratively in a fast-paced, dynamic environment.
Business Analyst: Commercial Excellence
Location: India
Job Description:
As a Business Analyst supporting the Commercial Excellence Initiative at Kennametal, you will be pivotal in enhancing our commercial operations, optimizing processes, and maximizing revenue opportunities. You will work closely with cross-functional teams to analyze market trends, customer behaviors, and business performance metrics to drive strategic decision-making and improve commercial effectiveness.
Key Responsibilities:
1. Data Analysis and Insights Generation:
- Utilize data analytics tools and techniques to extract insights from internal and external datasets.
- Analyze market trends, customer segments, and competitive landscape to identify growth opportunities and market threats.
- Provide actionable insights to support decision-making processes across sales, marketing, and product management functions.
- Leverage AI models and machine learning algorithms to derive deeper insights from data and predict market trends, customer preferences, and sales opportunities.
2. Sales Performance Optimization:
- Collaborate with sales teams to develop performance metrics, KPIs, and dashboards to monitor sales effectiveness and efficiency.
- Identify sales process bottlenecks and inefficiencies and recommend process improvements to streamline operations and enhance customer engagement.
- Conduct sales forecast analysis and assist in developing sales strategies to achieve revenue targets.
3. Pricing and Margin Analysis:
- Analyze pricing strategies, discount structures, and margin trends to optimize pricing decisions and maximize profitability.
- Assess pricing elasticity and competitive positioning to develop pricing models that balance competitiveness with profitability.
- Work closely with finance and sales teams to implement pricing strategies and monitor pricing compliance.
4. Customer Segmentation and Targeting:
- Segment customer base based on demographic, behavioral, and transactional data to identify high-value customer segments and growth opportunities.
- Develop targeted marketing campaigns and sales strategies to engage with key customer segments and drive revenue growth effectively.
- Monitor customer segmentation trends and adjust strategies to meet evolving market demands.
5. Continuous Improvement and Project Management:
- Drive continuous improvement initiatives within the Commercial Excellence team, leveraging Lean and Six Sigma methodologies where applicable.
- Lead or contribute to cross-functional projects to enhance commercial operations, improve customer experience, and increase revenue generation.
- Collaborate with IT and business stakeholders to implement technology solutions that support commercial excellence initiatives.
Qualifications:
- Bachelor's degree in business administration, Economics, Finance, Data Analytics, or related field. Master's degree preferred.
- Proven experience in business analysis, data analytics, or related fields, preferably in a manufacturing or industrial setting.
- Proficiency in data analysis tools and software (e.g., Microsoft Excel, Power BI, Tableau, SQL).
- Strong analytical and problem-solving skills, with the ability to translate data into actionable insights and recommendations.
- Experience in building AI models and utilizing machine learning algorithms for deriving insights from data.
- Excellent communication and presentation skills, with the ability to effectively communicate complex ideas to diverse stakeholders.
- Project management experience and familiarity with Lean Six Sigma methodologies is a plus.
- Ability to work independently and collaboratively in a fast-paced, dynamic environment.
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