2144 Data Collection Jobs - Page 6

About The Role The candidate must possess in-depth functional knowledge of the process area and apply it to operational scenarios to provide effective solutions. The candidate must be able to identify discrepancies and propose optimal solutions by using a logical, systematic, and sequential methodology. It is vital to be open-minded towards inputs and views from team members and to effectively lead, control, and motivate groups towards company objects. Additionally, the candidate must be self-directed, proactive, and seize every opportunity to meet internal and external customer needs and achieve customer satisfaction by effectively auditing processes, implementing best practices and process improvements, and utilizing the frameworks and tools available. Goals and thoughts must be clearly and concisely articulated and conveyed, verbally and in writing, to clients, colleagues, subordinates, and supervisors. Process Manager Role and responsibilities: Develop and maintain pricing models (Deal Calculators) to support data-driven pricing decisions. Conduct profitability and margin analysis on different services to optimize pricing and revenue. Track and report on key pricing performance indicators, including revenue, margins, charge out rates, pyramid etc. Collaborate with the sales and delivery teams to support the development of pricing proposals. Present pricing recommendations and performance insights to cross-functional teams, including sales, delivery and pre-sales Identify and implement process improvements in pricing data collection, analysis, and reporting. Leverage data analytics and visualization tools to improve the efficiency and effectiveness of pricing insights. Monitoring and reporting on pricing performance and competitiveness Preferred candidate profile: MBA in finance or CA with 2-3 years of prior experience in a similar role including exposure to managing pricing processes, implementing pricing initiatives, and creating pricing process documentation In-depth knowledge of BI tools (Tableau, Cognos, etc) Strong understanding of pricing strategies and concepts, analytical and quantitative skills, with experience in financial modelling and data analysis. Proficiency in Microsoft Office tools

About The Role The candidate must possess in-depth functional knowledge of the process area and apply it to operational scenarios to provide effective solutions. The candidate must be able to identify discrepancies and propose optimal solutions by using a logical, systematic, and sequential methodology. It is vital to be open-minded towards inputs and views from team members and to effectively lead, control, and motivate groups towards company objects. Additionally, the candidate must be self-directed, proactive, and seize every opportunity to meet internal and external customer needs and achieve customer satisfaction by effectively auditing processes, implementing best practices and process improvements, and utilizing the frameworks and tools available. Goals and thoughts must be clearly and concisely articulated and conveyed, verbally and in writing, to clients, colleagues, subordinates, and supervisors. Process Manager Role and responsibilities: Develop and maintain pricing models (Deal Calculators) to support data-driven pricing decisions. Conduct profitability and margin analysis on different services to optimize pricing and revenue. Track and report on key pricing performance indicators, including revenue, margins, charge out rates, pyramid etc. Collaborate with the sales and delivery teams to support the development of pricing proposals. Present pricing recommendations and performance insights to cross-functional teams, including sales, delivery and pre-sales Identify and implement process improvements in pricing data collection, analysis, and reporting. Leverage data analytics and visualization tools to improve the efficiency and effectiveness of pricing insights. Monitoring and reporting on pricing performance and competitiveness Preferred candidate profile: MBA in finance or CA with 2-3 years of prior experience in a similar role including exposure to managing pricing processes, implementing pricing initiatives, and creating pricing process documentation In-depth knowledge of BI tools (Tableau, Cognos, etc) Strong understanding of pricing strategies and concepts, analytical and quantitative skills, with experience in financial modelling and data analysis. Proficiency in Microsoft Office tools

Role & responsibilities Data Collection : Gather data from primary (surveys, interviews) and secondary sources (market reports, databases). Data Analysis : Use statistical methods and tools to identify trends, patterns, and relationships. Market Research : Evaluate industry trends, competitor strategies, and consumer behavior. Reporting : Create detailed reports, charts, and presentations to communicate findings. Strategic Insights : Provide recommendations based on research to guide business strategies and operations

The candidate must possess in-depth functional knowledge of the process area and apply it to operational scenarios to provide effective solutions. He/she must be able to identify discrepancies and propose optimal solutions by using a logical, systematic, and sequential methodology. It is vital to be open-minded towards inputs and views from team members and to effectively lead, control, and motivate groups towards company objects. Additionally, he/she must be self-directed, proactive, and seize every opportunity to meet internal and external customer needs and achieve customer satisfaction by effectively auditing processes, implementing best practices and process improvements, and utilizing the frameworks and tools available. Goals and thoughts must be clearly and concisely articulated and conveyed, verbally and in writing, to clients, colleagues, subordinates and supervisors. Process Manager Role and responsibilities: Data Analysis and Interpretation: Monitor and analyze social media conversations across various platforms using social media listening tools such as Talk walker, Meltwater, and Sprinkler. Gather valuable insights by analyzing social media volume and sentiment for both the brand and competitors. Utilize statistical techniques to quantify and measure the impact of social media efforts on brand reputation and engagement. Reporting and Presentation: Prepare comprehensive reports with visually compelling data visualizations, charts, and graphs to effectively communicate key findings to stakeholders. Regularly present actionable insights and recommendations to the marketing and management teams. Translate complex data into easily understandable and actionable insights for non-technical team members. End-to-End Analysis: Manage the entire process of data analysis from data collection and processing to final presentation. Use SQL and Python skills to efficiently process and manipulate large datasets. Social Media Strategy: Collaborate with the marketing team to align social media strategies with business objectives and marketing campaigns. Provide strategic recommendations to improve social media engagement, reach, and overall brand sentiment. Tools and Technology: Stay up-to-date with the latest social media listening tools and technologies, and suggest new tools that can enhance our data analysis capabilities. Technical and Functional Skills: Education and Experience Bachelor's degree in Marketing, Communications, Data Science, or a related field. Proven experience of 5-6 years in social media listening and analytics. A strong portfolio showcasing successful social media insights and reports. Technical Skills: Proficient in data analysis, data interpretation, and report writing. Advanced knowledge of Microsoft PowerPoint for creating impactful presentations. Strong skills in SQL and Python to handle and process large datasets efficiently. Social Media Listening Tools: Familiarity with social media listening tools like Talkwalker, Meltwater, Sprinklr, or equivalent platforms. Communication Skills: Excellent verbal and written communication skills. Ability to communicate complex technical concepts to non-technical team members. Analytical Mindset: Strong analytical and problem-solving skills with an attention to detail. Ability to think critically and make data-driven decisions.

The candidate must possess in-depth functional knowledge of the process area and apply it to operational scenarios to provide effective solutions. He/she must be able to identify discrepancies and propose optimal solutions by using a logical, systematic, and sequential methodology. It is vital to be open-minded towards inputs and views from team members and to effectively lead, control, and motivate groups towards company objects. Additionally, he/she must be self-directed, proactive, and seize every opportunity to meet internal and external customer needs and achieve customer satisfaction by effectively auditing processes, implementing best practices and process improvements, and utilizing the frameworks and tools available. Goals and thoughts must be clearly and concisely articulated and conveyed, verbally and in writing, to clients, colleagues, subordinates and supervisors. Process Manager Role and responsibilities: Data Analysis and Interpretation: Monitor and analyze social media conversations across various platforms using social media listening tools such as Talk walker, Meltwater, and Sprinkler. Gather valuable insights by analyzing social media volume and sentiment for both the brand and competitors. Utilize statistical techniques to quantify and measure the impact of social media efforts on brand reputation and engagement. Reporting and Presentation: Prepare comprehensive reports with visually compelling data visualizations, charts, and graphs to effectively communicate key findings to stakeholders. Regularly present actionable insights and recommendations to the marketing and management teams. Translate complex data into easily understandable and actionable insights for non-technical team members. End-to-End Analysis: Manage the entire process of data analysis from data collection and processing to final presentation. Use SQL and Python skills to efficiently process and manipulate large datasets. Social Media Strategy: Collaborate with the marketing team to align social media strategies with business objectives and marketing campaigns. Provide strategic recommendations to improve social media engagement, reach, and overall brand sentiment. Tools and Technology: Stay up-to-date with the latest social media listening tools and technologies, and suggest new tools that can enhance our data analysis capabilities. Technical and Functional Skills: Education and Experience Bachelor's degree in Marketing, Communications, Data Science, or a related field. Proven experience of 5-6 years in social media listening and analytics. A strong portfolio showcasing successful social media insights and reports. Technical Skills: Proficient in data analysis, data interpretation, and report writing. Advanced knowledge of Microsoft PowerPoint for creating impactful presentations. Strong skills in SQL and Python to handle and process large datasets efficiently. Social Media Listening Tools: Familiarity with social media listening tools like Talkwalker, Meltwater, Sprinklr, or equivalent platforms. Communication Skills: Excellent verbal and written communication skills. Ability to communicate complex technical concepts to non-technical team members. Analytical Mindset: Strong analytical and problem-solving skills with an attention to detail. Ability to think critically and make data-driven decisions.

About The Role The candidate must possess in-depth functional knowledge of the process area and apply it to operational scenarios to provide effective solutions. The candidate must be able to identify discrepancies and propose optimal solutions by using a logical, systematic, and sequential methodology. It is vital to be open-minded towards inputs and views from team members and to effectively lead, control, and motivate groups towards company objects. Additionally, the candidate must be self-directed, proactive, and seize every opportunity to meet internal and external customer needs and achieve customer satisfaction by effectively auditing processes, implementing best practices and process improvements, and utilizing the frameworks and tools available. Goals and thoughts must be clearly and concisely articulated and conveyed, verbally and in writing, to clients, colleagues, subordinates, and supervisors. Process Manager Role and responsibilities: Develop and maintain pricing models (Deal Calculators) to support data-driven pricing decisions. Conduct profitability and margin analysis on different services to optimize pricing and revenue. Track and report on key pricing performance indicators, including revenue, margins, charge out rates, pyramid etc. Collaborate with the sales and delivery teams to support the development of pricing proposals. Present pricing recommendations and performance insights to cross-functional teams, including sales, delivery and pre-sales Identify and implement process improvements in pricing data collection, analysis, and reporting. Leverage data analytics and visualization tools to improve the efficiency and effectiveness of pricing insights. Monitoring and reporting on pricing performance and competitiveness Preferred candidate profile: MBA in finance or CA with 2-3 years of prior experience in a similar role including exposure to managing pricing processes, implementing pricing initiatives, and creating pricing process documentation In-depth knowledge of BI tools (Tableau, Cognos, etc) Strong understanding of pricing strategies and concepts, analytical and quantitative skills, with experience in financial modelling and data analysis. Proficiency in Microsoft Office tools

About The Role The candidate must possess in-depth functional knowledge of the process area and apply it to operational scenarios to provide effective solutions. The candidate must be able to identify discrepancies and propose optimal solutions by using a logical, systematic, and sequential methodology. It is vital to be open-minded towards inputs and views from team members and to effectively lead, control, and motivate groups towards company objects. Additionally, the candidate must be self-directed, proactive, and seize every opportunity to meet internal and external customer needs and achieve customer satisfaction by effectively auditing processes, implementing best practices and process improvements, and utilizing the frameworks and tools available. Goals and thoughts must be clearly and concisely articulated and conveyed, verbally and in writing, to clients, colleagues, subordinates, and supervisors. Process Manager Role and responsibilities: Develop and maintain pricing models (Deal Calculators) to support data-driven pricing decisions. Conduct profitability and margin analysis on different services to optimize pricing and revenue. Track and report on key pricing performance indicators, including revenue, margins, charge out rates, pyramid etc. Collaborate with the sales and delivery teams to support the development of pricing proposals. Present pricing recommendations and performance insights to cross-functional teams, including sales, delivery and pre-sales Identify and implement process improvements in pricing data collection, analysis, and reporting. Leverage data analytics and visualization tools to improve the efficiency and effectiveness of pricing insights. Monitoring and reporting on pricing performance and competitiveness Preferred candidate profile: MBA in finance or CA with 2-3 years of prior experience in a similar role including exposure to managing pricing processes, implementing pricing initiatives, and creating pricing process documentation In-depth knowledge of BI tools (Tableau, Cognos, etc) Strong understanding of pricing strategies and concepts, analytical and quantitative skills, with experience in financial modelling and data analysis. Proficiency in Microsoft Office tools

The candidate must possess in-depth functional knowledge of the process area and apply it to operational scenarios to provide effective solutions. He/she must be able to identify discrepancies and propose optimal solutions by using a logical, systematic, and sequential methodology. It is vital to be open-minded towards inputs and views from team members and to effectively lead, control, and motivate groups towards company objects. Additionally, he/she must be self-directed, proactive, and seize every opportunity to meet internal and external customer needs and achieve customer satisfaction by effectively auditing processes, implementing best practices and process improvements, and utilizing the frameworks and tools available. Goals and thoughts must be clearly and concisely articulated and conveyed, verbally and in writing, to clients, colleagues, subordinates and supervisors. Process Manager Role and responsibilities: Data Analysis and Interpretation: Monitor and analyze social media conversations across various platforms using social media listening tools such as Talk walker, Meltwater, and Sprinkler. Gather valuable insights by analyzing social media volume and sentiment for both the brand and competitors. Utilize statistical techniques to quantify and measure the impact of social media efforts on brand reputation and engagement. Reporting and Presentation: Prepare comprehensive reports with visually compelling data visualizations, charts, and graphs to effectively communicate key findings to stakeholders. Regularly present actionable insights and recommendations to the marketing and management teams. Translate complex data into easily understandable and actionable insights for non-technical team members. End-to-End Analysis: Manage the entire process of data analysis from data collection and processing to final presentation. Use SQL and Python skills to efficiently process and manipulate large datasets. Social Media Strategy: Collaborate with the marketing team to align social media strategies with business objectives and marketing campaigns. Provide strategic recommendations to improve social media engagement, reach, and overall brand sentiment. Tools and Technology: Stay up-to-date with the latest social media listening tools and technologies, and suggest new tools that can enhance our data analysis capabilities. Technical and Functional Skills: Education and Experience Bachelor's degree in Marketing, Communications, Data Science, or a related field. Proven experience of 5-6 years in social media listening and analytics. A strong portfolio showcasing successful social media insights and reports. Technical Skills: Proficient in data analysis, data interpretation, and report writing. Advanced knowledge of Microsoft PowerPoint for creating impactful presentations. Strong skills in SQL and Python to handle and process large datasets efficiently. Social Media Listening Tools: Familiarity with social media listening tools like Talkwalker, Meltwater, Sprinklr, or equivalent platforms. Communication Skills: Excellent verbal and written communication skills. Ability to communicate complex technical concepts to non-technical team members. Analytical Mindset: Strong analytical and problem-solving skills with an attention to detail. Ability to think critically and make data-driven decisions.

About The Role The candidate must possess in-depth functional knowledge of the process area and apply it to operational scenarios to provide effective solutions. The candidate must be able to identify discrepancies and propose optimal solutions by using a logical, systematic, and sequential methodology. It is vital to be open-minded towards inputs and views from team members and to effectively lead, control, and motivate groups towards company objects. Additionally, the candidate must be self-directed, proactive, and seize every opportunity to meet internal and external customer needs and achieve customer satisfaction by effectively auditing processes, implementing best practices and process improvements, and utilizing the frameworks and tools available. Goals and thoughts must be clearly and concisely articulated and conveyed, verbally and in writing, to clients, colleagues, subordinates, and supervisors. Process Manager Role and responsibilities: Develop and maintain pricing models (Deal Calculators) to support data-driven pricing decisions. Conduct profitability and margin analysis on different services to optimize pricing and revenue. Track and report on key pricing performance indicators, including revenue, margins, charge out rates, pyramid etc. Collaborate with the sales and delivery teams to support the development of pricing proposals. Present pricing recommendations and performance insights to cross-functional teams, including sales, delivery and pre-sales Identify and implement process improvements in pricing data collection, analysis, and reporting. Leverage data analytics and visualization tools to improve the efficiency and effectiveness of pricing insights. Monitoring and reporting on pricing performance and competitiveness Preferred candidate profile: MBA in finance or CA with 2-3 years of prior experience in a similar role including exposure to managing pricing processes, implementing pricing initiatives, and creating pricing process documentation In-depth knowledge of BI tools (Tableau, Cognos, etc) Strong understanding of pricing strategies and concepts, analytical and quantitative skills, with experience in financial modelling and data analysis. Proficiency in Microsoft Office tools

The candidate must possess in-depth functional knowledge of the process area and apply it to operational scenarios to provide effective solutions. He/she must be able to identify discrepancies and propose optimal solutions by using a logical, systematic, and sequential methodology. It is vital to be open-minded towards inputs and views from team members and to effectively lead, control, and motivate groups towards company objects. Additionally, he/she must be self-directed, proactive, and seize every opportunity to meet internal and external customer needs and achieve customer satisfaction by effectively auditing processes, implementing best practices and process improvements, and utilizing the frameworks and tools available. Goals and thoughts must be clearly and concisely articulated and conveyed, verbally and in writing, to clients, colleagues, subordinates and supervisors. Process Manager Role and responsibilities: Data Analysis and Interpretation: Monitor and analyze social media conversations across various platforms using social media listening tools such as Talk walker, Meltwater, and Sprinkler. Gather valuable insights by analyzing social media volume and sentiment for both the brand and competitors. Utilize statistical techniques to quantify and measure the impact of social media efforts on brand reputation and engagement. Reporting and Presentation: Prepare comprehensive reports with visually compelling data visualizations, charts, and graphs to effectively communicate key findings to stakeholders. Regularly present actionable insights and recommendations to the marketing and management teams. Translate complex data into easily understandable and actionable insights for non-technical team members. End-to-End Analysis: Manage the entire process of data analysis from data collection and processing to final presentation. Use SQL and Python skills to efficiently process and manipulate large datasets. Social Media Strategy: Collaborate with the marketing team to align social media strategies with business objectives and marketing campaigns. Provide strategic recommendations to improve social media engagement, reach, and overall brand sentiment. Tools and Technology: Stay up-to-date with the latest social media listening tools and technologies, and suggest new tools that can enhance our data analysis capabilities. Technical and Functional Skills: Education and Experience Bachelor's degree in Marketing, Communications, Data Science, or a related field. Proven experience of 5-6 years in social media listening and analytics. A strong portfolio showcasing successful social media insights and reports. Technical Skills: Proficient in data analysis, data interpretation, and report writing. Advanced knowledge of Microsoft PowerPoint for creating impactful presentations. Strong skills in SQL and Python to handle and process large datasets efficiently. Social Media Listening Tools: Familiarity with social media listening tools like Talkwalker, Meltwater, Sprinklr, or equivalent platforms. Communication Skills: Excellent verbal and written communication skills. Ability to communicate complex technical concepts to non-technical team members. Analytical Mindset: Strong analytical and problem-solving skills with an attention to detail. Ability to think critically and make data-driven decisions.

The candidate must possess in-depth functional knowledge of the process area and apply it to operational scenarios to provide effective solutions. He/she must be able to identify discrepancies and propose optimal solutions by using a logical, systematic, and sequential methodology. It is vital to be open-minded towards inputs and views from team members and to effectively lead, control, and motivate groups towards company objects. Additionally, he/she must be self-directed, proactive, and seize every opportunity to meet internal and external customer needs and achieve customer satisfaction by effectively auditing processes, implementing best practices and process improvements, and utilizing the frameworks and tools available. Goals and thoughts must be clearly and concisely articulated and conveyed, verbally and in writing, to clients, colleagues, subordinates and supervisors. Process Manager Role and responsibilities: Data Analysis and Interpretation: Monitor and analyze social media conversations across various platforms using social media listening tools such as Talk walker, Meltwater, and Sprinkler. Gather valuable insights by analyzing social media volume and sentiment for both the brand and competitors. Utilize statistical techniques to quantify and measure the impact of social media efforts on brand reputation and engagement. Reporting and Presentation: Prepare comprehensive reports with visually compelling data visualizations, charts, and graphs to effectively communicate key findings to stakeholders. Regularly present actionable insights and recommendations to the marketing and management teams. Translate complex data into easily understandable and actionable insights for non-technical team members. End-to-End Analysis: Manage the entire process of data analysis from data collection and processing to final presentation. Use SQL and Python skills to efficiently process and manipulate large datasets. Social Media Strategy: Collaborate with the marketing team to align social media strategies with business objectives and marketing campaigns. Provide strategic recommendations to improve social media engagement, reach, and overall brand sentiment. Tools and Technology: Stay up-to-date with the latest social media listening tools and technologies, and suggest new tools that can enhance our data analysis capabilities. Technical and Functional Skills: Education and Experience Bachelor's degree in Marketing, Communications, Data Science, or a related field. Proven experience of 5-6 years in social media listening and analytics. A strong portfolio showcasing successful social media insights and reports. Technical Skills: Proficient in data analysis, data interpretation, and report writing. Advanced knowledge of Microsoft PowerPoint for creating impactful presentations. Strong skills in SQL and Python to handle and process large datasets efficiently. Social Media Listening Tools: Familiarity with social media listening tools like Talkwalker, Meltwater, Sprinklr, or equivalent platforms. Communication Skills: Excellent verbal and written communication skills. Ability to communicate complex technical concepts to non-technical team members. Analytical Mindset: Strong analytical and problem-solving skills with an attention to detail. Ability to think critically and make data-driven decisions.

The candidate must possess in-depth functional knowledge of the process area and apply it to operational scenarios to provide effective solutions. He/she must be able to identify discrepancies and propose optimal solutions by using a logical, systematic, and sequential methodology. It is vital to be open-minded towards inputs and views from team members and to effectively lead, control, and motivate groups towards company objects. Additionally, he/she must be self-directed, proactive, and seize every opportunity to meet internal and external customer needs and achieve customer satisfaction by effectively auditing processes, implementing best practices and process improvements, and utilizing the frameworks and tools available. Goals and thoughts must be clearly and concisely articulated and conveyed, verbally and in writing, to clients, colleagues, subordinates and supervisors. Process Manager Role and responsibilities: Data Analysis and Interpretation: Monitor and analyze social media conversations across various platforms using social media listening tools such as Talk walker, Meltwater, and Sprinkler. Gather valuable insights by analyzing social media volume and sentiment for both the brand and competitors. Utilize statistical techniques to quantify and measure the impact of social media efforts on brand reputation and engagement. Reporting and Presentation: Prepare comprehensive reports with visually compelling data visualizations, charts, and graphs to effectively communicate key findings to stakeholders. Regularly present actionable insights and recommendations to the marketing and management teams. Translate complex data into easily understandable and actionable insights for non-technical team members. End-to-End Analysis: Manage the entire process of data analysis from data collection and processing to final presentation. Use SQL and Python skills to efficiently process and manipulate large datasets. Social Media Strategy: Collaborate with the marketing team to align social media strategies with business objectives and marketing campaigns. Provide strategic recommendations to improve social media engagement, reach, and overall brand sentiment. Tools and Technology: Stay up-to-date with the latest social media listening tools and technologies, and suggest new tools that can enhance our data analysis capabilities. Technical and Functional Skills: Education and Experience Bachelor's degree in Marketing, Communications, Data Science, or a related field. Proven experience of 5-6 years in social media listening and analytics. A strong portfolio showcasing successful social media insights and reports. Technical Skills: Proficient in data analysis, data interpretation, and report writing. Advanced knowledge of Microsoft PowerPoint for creating impactful presentations. Strong skills in SQL and Python to handle and process large datasets efficiently. Social Media Listening Tools: Familiarity with social media listening tools like Talkwalker, Meltwater, Sprinklr, or equivalent platforms. Communication Skills: Excellent verbal and written communication skills. Ability to communicate complex technical concepts to non-technical team members. Analytical Mindset: Strong analytical and problem-solving skills with an attention to detail. Ability to think critically and make data-driven decisions.

The candidate must possess in-depth functional knowledge of the process area and apply it to operational scenarios to provide effective solutions. He/she must be able to identify discrepancies and propose optimal solutions by using a logical, systematic, and sequential methodology. It is vital to be open-minded towards inputs and views from team members and to effectively lead, control, and motivate groups towards company objects. Additionally, he/she must be self-directed, proactive, and seize every opportunity to meet internal and external customer needs and achieve customer satisfaction by effectively auditing processes, implementing best practices and process improvements, and utilizing the frameworks and tools available. Goals and thoughts must be clearly and concisely articulated and conveyed, verbally and in writing, to clients, colleagues, subordinates and supervisors. Process Manager Role and responsibilities: Data Analysis and Interpretation: Monitor and analyze social media conversations across various platforms using social media listening tools such as Talk walker, Meltwater, and Sprinkler. Gather valuable insights by analyzing social media volume and sentiment for both the brand and competitors. Utilize statistical techniques to quantify and measure the impact of social media efforts on brand reputation and engagement. Reporting and Presentation: Prepare comprehensive reports with visually compelling data visualizations, charts, and graphs to effectively communicate key findings to stakeholders. Regularly present actionable insights and recommendations to the marketing and management teams. Translate complex data into easily understandable and actionable insights for non-technical team members. End-to-End Analysis: Manage the entire process of data analysis from data collection and processing to final presentation. Use SQL and Python skills to efficiently process and manipulate large datasets. Social Media Strategy: Collaborate with the marketing team to align social media strategies with business objectives and marketing campaigns. Provide strategic recommendations to improve social media engagement, reach, and overall brand sentiment. Tools and Technology: Stay up-to-date with the latest social media listening tools and technologies, and suggest new tools that can enhance our data analysis capabilities. Technical and Functional Skills: Education and Experience Bachelor's degree in Marketing, Communications, Data Science, or a related field. Proven experience of 5-6 years in social media listening and analytics. A strong portfolio showcasing successful social media insights and reports. Technical Skills: Proficient in data analysis, data interpretation, and report writing. Advanced knowledge of Microsoft PowerPoint for creating impactful presentations. Strong skills in SQL and Python to handle and process large datasets efficiently. Social Media Listening Tools: Familiarity with social media listening tools like Talkwalker, Meltwater, Sprinklr, or equivalent platforms. Communication Skills: Excellent verbal and written communication skills. Ability to communicate complex technical concepts to non-technical team members. Analytical Mindset: Strong analytical and problem-solving skills with an attention to detail. Ability to think critically and make data-driven decisions.

About The Role The candidate must possess in-depth functional knowledge of the process area and apply it to operational scenarios to provide effective solutions. The candidate must be able to identify discrepancies and propose optimal solutions by using a logical, systematic, and sequential methodology. It is vital to be open-minded towards inputs and views from team members and to effectively lead, control, and motivate groups towards company objects. Additionally, the candidate must be self-directed, proactive, and seize every opportunity to meet internal and external customer needs and achieve customer satisfaction by effectively auditing processes, implementing best practices and process improvements, and utilizing the frameworks and tools available. Goals and thoughts must be clearly and concisely articulated and conveyed, verbally and in writing, to clients, colleagues, subordinates, and supervisors. Process Manager Role and responsibilities: Develop and maintain pricing models (Deal Calculators) to support data-driven pricing decisions. Conduct profitability and margin analysis on different services to optimize pricing and revenue. Track and report on key pricing performance indicators, including revenue, margins, charge out rates, pyramid etc. Collaborate with the sales and delivery teams to support the development of pricing proposals. Present pricing recommendations and performance insights to cross-functional teams, including sales, delivery and pre-sales Identify and implement process improvements in pricing data collection, analysis, and reporting. Leverage data analytics and visualization tools to improve the efficiency and effectiveness of pricing insights. Monitoring and reporting on pricing performance and competitiveness Preferred candidate profile: MBA in finance or CA with 2-3 years of prior experience in a similar role including exposure to managing pricing processes, implementing pricing initiatives, and creating pricing process documentation In-depth knowledge of BI tools (Tableau, Cognos, etc) Strong understanding of pricing strategies and concepts, analytical and quantitative skills, with experience in financial modelling and data analysis. Proficiency in Microsoft Office tools

About The Role The candidate must possess in-depth functional knowledge of the process area and apply it to operational scenarios to provide effective solutions. The candidate must be able to identify discrepancies and propose optimal solutions by using a logical, systematic, and sequential methodology. It is vital to be open-minded towards inputs and views from team members and to effectively lead, control, and motivate groups towards company objects. Additionally, the candidate must be self-directed, proactive, and seize every opportunity to meet internal and external customer needs and achieve customer satisfaction by effectively auditing processes, implementing best practices and process improvements, and utilizing the frameworks and tools available. Goals and thoughts must be clearly and concisely articulated and conveyed, verbally and in writing, to clients, colleagues, subordinates, and supervisors. Process Manager Role and responsibilities: Develop and maintain pricing models (Deal Calculators) to support data-driven pricing decisions. Conduct profitability and margin analysis on different services to optimize pricing and revenue. Track and report on key pricing performance indicators, including revenue, margins, charge out rates, pyramid etc. Collaborate with the sales and delivery teams to support the development of pricing proposals. Present pricing recommendations and performance insights to cross-functional teams, including sales, delivery and pre-sales Identify and implement process improvements in pricing data collection, analysis, and reporting. Leverage data analytics and visualization tools to improve the efficiency and effectiveness of pricing insights. Monitoring and reporting on pricing performance and competitiveness Preferred candidate profile: MBA in finance or CA with 2-3 years of prior experience in a similar role including exposure to managing pricing processes, implementing pricing initiatives, and creating pricing process documentation In-depth knowledge of BI tools (Tableau, Cognos, etc) Strong understanding of pricing strategies and concepts, analytical and quantitative skills, with experience in financial modelling and data analysis. Proficiency in Microsoft Office tools

About The Role The candidate must possess in-depth functional knowledge of the process area and apply it to operational scenarios to provide effective solutions. The candidate must be able to identify discrepancies and propose optimal solutions by using a logical, systematic, and sequential methodology. It is vital to be open-minded towards inputs and views from team members and to effectively lead, control, and motivate groups towards company objects. Additionally, the candidate must be self-directed, proactive, and seize every opportunity to meet internal and external customer needs and achieve customer satisfaction by effectively auditing processes, implementing best practices and process improvements, and utilizing the frameworks and tools available. Goals and thoughts must be clearly and concisely articulated and conveyed, verbally and in writing, to clients, colleagues, subordinates, and supervisors. Process Manager Role and responsibilities: Develop and maintain pricing models (Deal Calculators) to support data-driven pricing decisions. Conduct profitability and margin analysis on different services to optimize pricing and revenue. Track and report on key pricing performance indicators, including revenue, margins, charge out rates, pyramid etc. Collaborate with the sales and delivery teams to support the development of pricing proposals. Present pricing recommendations and performance insights to cross-functional teams, including sales, delivery and pre-sales Identify and implement process improvements in pricing data collection, analysis, and reporting. Leverage data analytics and visualization tools to improve the efficiency and effectiveness of pricing insights. Monitoring and reporting on pricing performance and competitiveness Preferred candidate profile: MBA in finance or CA with 2-3 years of prior experience in a similar role including exposure to managing pricing processes, implementing pricing initiatives, and creating pricing process documentation In-depth knowledge of BI tools (Tableau, Cognos, etc) Strong understanding of pricing strategies and concepts, analytical and quantitative skills, with experience in financial modelling and data analysis. Proficiency in Microsoft Office tools

About The Role The candidate must possess in-depth functional knowledge of the process area and apply it to operational scenarios to provide effective solutions. The candidate must be able to identify discrepancies and propose optimal solutions by using a logical, systematic, and sequential methodology. It is vital to be open-minded towards inputs and views from team members and to effectively lead, control, and motivate groups towards company objects. Additionally, the candidate must be self-directed, proactive, and seize every opportunity to meet internal and external customer needs and achieve customer satisfaction by effectively auditing processes, implementing best practices and process improvements, and utilizing the frameworks and tools available. Goals and thoughts must be clearly and concisely articulated and conveyed, verbally and in writing, to clients, colleagues, subordinates, and supervisors. Process Manager Role and responsibilities: Develop and maintain pricing models (Deal Calculators) to support data-driven pricing decisions. Conduct profitability and margin analysis on different services to optimize pricing and revenue. Track and report on key pricing performance indicators, including revenue, margins, charge out rates, pyramid etc. Collaborate with the sales and delivery teams to support the development of pricing proposals. Present pricing recommendations and performance insights to cross-functional teams, including sales, delivery and pre-sales Identify and implement process improvements in pricing data collection, analysis, and reporting. Leverage data analytics and visualization tools to improve the efficiency and effectiveness of pricing insights. Monitoring and reporting on pricing performance and competitiveness Preferred candidate profile: MBA in finance or CA with 2-3 years of prior experience in a similar role including exposure to managing pricing processes, implementing pricing initiatives, and creating pricing process documentation In-depth knowledge of BI tools (Tableau, Cognos, etc) Strong understanding of pricing strategies and concepts, analytical and quantitative skills, with experience in financial modelling and data analysis. Proficiency in Microsoft Office tools

About The Role The candidate must possess in-depth functional knowledge of the process area and apply it to operational scenarios to provide effective solutions. The candidate must be able to identify discrepancies and propose optimal solutions by using a logical, systematic, and sequential methodology. It is vital to be open-minded towards inputs and views from team members and to effectively lead, control, and motivate groups towards company objects. Additionally, the candidate must be self-directed, proactive, and seize every opportunity to meet internal and external customer needs and achieve customer satisfaction by effectively auditing processes, implementing best practices and process improvements, and utilizing the frameworks and tools available. Goals and thoughts must be clearly and concisely articulated and conveyed, verbally and in writing, to clients, colleagues, subordinates, and supervisors. Process Manager Role and responsibilities: Develop and maintain pricing models (Deal Calculators) to support data-driven pricing decisions. Conduct profitability and margin analysis on different services to optimize pricing and revenue. Track and report on key pricing performance indicators, including revenue, margins, charge out rates, pyramid etc. Collaborate with the sales and delivery teams to support the development of pricing proposals. Present pricing recommendations and performance insights to cross-functional teams, including sales, delivery and pre-sales Identify and implement process improvements in pricing data collection, analysis, and reporting. Leverage data analytics and visualization tools to improve the efficiency and effectiveness of pricing insights. Monitoring and reporting on pricing performance and competitiveness Preferred candidate profile: MBA in finance or CA with 2-3 years of prior experience in a similar role including exposure to managing pricing processes, implementing pricing initiatives, and creating pricing process documentation In-depth knowledge of BI tools (Tableau, Cognos, etc) Strong understanding of pricing strategies and concepts, analytical and quantitative skills, with experience in financial modelling and data analysis. Proficiency in Microsoft Office tools

About The Role The candidate must possess in-depth functional knowledge of the process area and apply it to operational scenarios to provide effective solutions. The candidate must be able to identify discrepancies and propose optimal solutions by using a logical, systematic, and sequential methodology. It is vital to be open-minded towards inputs and views from team members and to effectively lead, control, and motivate groups towards company objects. Additionally, the candidate must be self-directed, proactive, and seize every opportunity to meet internal and external customer needs and achieve customer satisfaction by effectively auditing processes, implementing best practices and process improvements, and utilizing the frameworks and tools available. Goals and thoughts must be clearly and concisely articulated and conveyed, verbally and in writing, to clients, colleagues, subordinates, and supervisors. Process Manager Role and responsibilities: Develop and maintain pricing models (Deal Calculators) to support data-driven pricing decisions. Conduct profitability and margin analysis on different services to optimize pricing and revenue. Track and report on key pricing performance indicators, including revenue, margins, charge out rates, pyramid etc. Collaborate with the sales and delivery teams to support the development of pricing proposals. Present pricing recommendations and performance insights to cross-functional teams, including sales, delivery and pre-sales Identify and implement process improvements in pricing data collection, analysis, and reporting. Leverage data analytics and visualization tools to improve the efficiency and effectiveness of pricing insights. Monitoring and reporting on pricing performance and competitiveness Preferred candidate profile: MBA in finance or CA with 2-3 years of prior experience in a similar role including exposure to managing pricing processes, implementing pricing initiatives, and creating pricing process documentation In-depth knowledge of BI tools (Tableau, Cognos, etc) Strong understanding of pricing strategies and concepts, analytical and quantitative skills, with experience in financial modelling and data analysis. Proficiency in Microsoft Office tools

The candidate must possess in-depth functional knowledge of the process area and apply it to operational scenarios to provide effective solutions. He/she must be able to identify discrepancies and propose optimal solutions by using a logical, systematic, and sequential methodology. It is vital to be open-minded towards inputs and views from team members and to effectively lead, control, and motivate groups towards company objects. Additionally, he/she must be self-directed, proactive, and seize every opportunity to meet internal and external customer needs and achieve customer satisfaction by effectively auditing processes, implementing best practices and process improvements, and utilizing the frameworks and tools available. Goals and thoughts must be clearly and concisely articulated and conveyed, verbally and in writing, to clients, colleagues, subordinates and supervisors. Process Manager Role and responsibilities: Data Analysis and Interpretation: Monitor and analyze social media conversations across various platforms using social media listening tools such as Talk walker, Meltwater, and Sprinkler. Gather valuable insights by analyzing social media volume and sentiment for both the brand and competitors. Utilize statistical techniques to quantify and measure the impact of social media efforts on brand reputation and engagement. Reporting and Presentation: Prepare comprehensive reports with visually compelling data visualizations, charts, and graphs to effectively communicate key findings to stakeholders. Regularly present actionable insights and recommendations to the marketing and management teams. Translate complex data into easily understandable and actionable insights for non-technical team members. End-to-End Analysis: Manage the entire process of data analysis from data collection and processing to final presentation. Use SQL and Python skills to efficiently process and manipulate large datasets. Social Media Strategy: Collaborate with the marketing team to align social media strategies with business objectives and marketing campaigns. Provide strategic recommendations to improve social media engagement, reach, and overall brand sentiment. Tools and Technology: Stay up-to-date with the latest social media listening tools and technologies, and suggest new tools that can enhance our data analysis capabilities. Technical and Functional Skills: Education and Experience Bachelor's degree in Marketing, Communications, Data Science, or a related field. Proven experience of 5-6 years in social media listening and analytics. A strong portfolio showcasing successful social media insights and reports. Technical Skills: Proficient in data analysis, data interpretation, and report writing. Advanced knowledge of Microsoft PowerPoint for creating impactful presentations. Strong skills in SQL and Python to handle and process large datasets efficiently. Social Media Listening Tools: Familiarity with social media listening tools like Talkwalker, Meltwater, Sprinklr, or equivalent platforms. Communication Skills: Excellent verbal and written communication skills. Ability to communicate complex technical concepts to non-technical team members. Analytical Mindset: Strong analytical and problem-solving skills with an attention to detail. Ability to think critically and make data-driven decisions.

The candidate must possess in-depth functional knowledge of the process area and apply it to operational scenarios to provide effective solutions. He/she must be able to identify discrepancies and propose optimal solutions by using a logical, systematic, and sequential methodology. It is vital to be open-minded towards inputs and views from team members and to effectively lead, control, and motivate groups towards company objects. Additionally, he/she must be self-directed, proactive, and seize every opportunity to meet internal and external customer needs and achieve customer satisfaction by effectively auditing processes, implementing best practices and process improvements, and utilizing the frameworks and tools available. Goals and thoughts must be clearly and concisely articulated and conveyed, verbally and in writing, to clients, colleagues, subordinates and supervisors. Process Manager Role and responsibilities: Data Analysis and Interpretation: Monitor and analyze social media conversations across various platforms using social media listening tools such as Talk walker, Meltwater, and Sprinkler. Gather valuable insights by analyzing social media volume and sentiment for both the brand and competitors. Utilize statistical techniques to quantify and measure the impact of social media efforts on brand reputation and engagement. Reporting and Presentation: Prepare comprehensive reports with visually compelling data visualizations, charts, and graphs to effectively communicate key findings to stakeholders. Regularly present actionable insights and recommendations to the marketing and management teams. Translate complex data into easily understandable and actionable insights for non-technical team members. End-to-End Analysis: Manage the entire process of data analysis from data collection and processing to final presentation. Use SQL and Python skills to efficiently process and manipulate large datasets. Social Media Strategy: Collaborate with the marketing team to align social media strategies with business objectives and marketing campaigns. Provide strategic recommendations to improve social media engagement, reach, and overall brand sentiment. Tools and Technology: Stay up-to-date with the latest social media listening tools and technologies, and suggest new tools that can enhance our data analysis capabilities. Technical and Functional Skills: Education and Experience Bachelor's degree in Marketing, Communications, Data Science, or a related field. Proven experience of 5-6 years in social media listening and analytics. A strong portfolio showcasing successful social media insights and reports. Technical Skills: Proficient in data analysis, data interpretation, and report writing. Advanced knowledge of Microsoft PowerPoint for creating impactful presentations. Strong skills in SQL and Python to handle and process large datasets efficiently. Social Media Listening Tools: Familiarity with social media listening tools like Talkwalker, Meltwater, Sprinklr, or equivalent platforms. Communication Skills: Excellent verbal and written communication skills. Ability to communicate complex technical concepts to non-technical team members. Analytical Mindset: Strong analytical and problem-solving skills with an attention to detail. Ability to think critically and make data-driven decisions.

The candidate must possess in-depth functional knowledge of the process area and apply it to operational scenarios to provide effective solutions. He/she must be able to identify discrepancies and propose optimal solutions by using a logical, systematic, and sequential methodology. It is vital to be open-minded towards inputs and views from team members and to effectively lead, control, and motivate groups towards company objects. Additionally, he/she must be self-directed, proactive, and seize every opportunity to meet internal and external customer needs and achieve customer satisfaction by effectively auditing processes, implementing best practices and process improvements, and utilizing the frameworks and tools available. Goals and thoughts must be clearly and concisely articulated and conveyed, verbally and in writing, to clients, colleagues, subordinates and supervisors. Process Manager Role and responsibilities: Data Analysis and Interpretation: Monitor and analyze social media conversations across various platforms using social media listening tools such as Talk walker, Meltwater, and Sprinkler. Gather valuable insights by analyzing social media volume and sentiment for both the brand and competitors. Utilize statistical techniques to quantify and measure the impact of social media efforts on brand reputation and engagement. Reporting and Presentation: Prepare comprehensive reports with visually compelling data visualizations, charts, and graphs to effectively communicate key findings to stakeholders. Regularly present actionable insights and recommendations to the marketing and management teams. Translate complex data into easily understandable and actionable insights for non-technical team members. End-to-End Analysis: Manage the entire process of data analysis from data collection and processing to final presentation. Use SQL and Python skills to efficiently process and manipulate large datasets. Social Media Strategy: Collaborate with the marketing team to align social media strategies with business objectives and marketing campaigns. Provide strategic recommendations to improve social media engagement, reach, and overall brand sentiment. Tools and Technology: Stay up-to-date with the latest social media listening tools and technologies, and suggest new tools that can enhance our data analysis capabilities. Technical and Functional Skills: Education and Experience Bachelor's degree in Marketing, Communications, Data Science, or a related field. Proven experience of 5-6 years in social media listening and analytics. A strong portfolio showcasing successful social media insights and reports. Technical Skills: Proficient in data analysis, data interpretation, and report writing. Advanced knowledge of Microsoft PowerPoint for creating impactful presentations. Strong skills in SQL and Python to handle and process large datasets efficiently. Social Media Listening Tools: Familiarity with social media listening tools like Talkwalker, Meltwater, Sprinklr, or equivalent platforms. Communication Skills: Excellent verbal and written communication skills. Ability to communicate complex technical concepts to non-technical team members. Analytical Mindset: Strong analytical and problem-solving skills with an attention to detail. Ability to think critically and make data-driven decisions.

The candidate must possess in-depth functional knowledge of the process area and apply it to operational scenarios to provide effective solutions. He/she must be able to identify discrepancies and propose optimal solutions by using a logical, systematic, and sequential methodology. It is vital to be open-minded towards inputs and views from team members and to effectively lead, control, and motivate groups towards company objects. Additionally, he/she must be self-directed, proactive, and seize every opportunity to meet internal and external customer needs and achieve customer satisfaction by effectively auditing processes, implementing best practices and process improvements, and utilizing the frameworks and tools available. Goals and thoughts must be clearly and concisely articulated and conveyed, verbally and in writing, to clients, colleagues, subordinates and supervisors. Process Manager Role and responsibilities: Data Analysis and Interpretation: Monitor and analyze social media conversations across various platforms using social media listening tools such as Talk walker, Meltwater, and Sprinkler. Gather valuable insights by analyzing social media volume and sentiment for both the brand and competitors. Utilize statistical techniques to quantify and measure the impact of social media efforts on brand reputation and engagement. Reporting and Presentation: Prepare comprehensive reports with visually compelling data visualizations, charts, and graphs to effectively communicate key findings to stakeholders. Regularly present actionable insights and recommendations to the marketing and management teams. Translate complex data into easily understandable and actionable insights for non-technical team members. End-to-End Analysis: Manage the entire process of data analysis from data collection and processing to final presentation. Use SQL and Python skills to efficiently process and manipulate large datasets. Social Media Strategy: Collaborate with the marketing team to align social media strategies with business objectives and marketing campaigns. Provide strategic recommendations to improve social media engagement, reach, and overall brand sentiment. Tools and Technology: Stay up-to-date with the latest social media listening tools and technologies, and suggest new tools that can enhance our data analysis capabilities. Technical and Functional Skills: Education and Experience Bachelor's degree in Marketing, Communications, Data Science, or a related field. Proven experience of 5-6 years in social media listening and analytics. A strong portfolio showcasing successful social media insights and reports. Technical Skills: Proficient in data analysis, data interpretation, and report writing. Advanced knowledge of Microsoft PowerPoint for creating impactful presentations. Strong skills in SQL and Python to handle and process large datasets efficiently. Social Media Listening Tools: Familiarity with social media listening tools like Talkwalker, Meltwater, Sprinklr, or equivalent platforms. Communication Skills: Excellent verbal and written communication skills. Ability to communicate complex technical concepts to non-technical team members. Analytical Mindset: Strong analytical and problem-solving skills with an attention to detail. Ability to think critically and make data-driven decisions.

Be part of a dynamic team where your distinctive skills will contribute to a winning culture and team. As a Applied AI ML Senior Associate at JPMorgan Chase within the Asset and Wealth Management , you serve as a seasoned member of an agile team to design and deliver trusted data collection, storage, access, and analytics solutions in a secure, stable, and scalable way. You are responsible for developing, testing, and maintaining critical data pipelines and architectures across multiple technical areas within various business functions in support of the firm s business objectives. Job responsibilities Supports and develops an understanding of key business problems and processes. Advises a model development process, execute tasks including data wrangling/analysis, model training, testing, and selection. Strategically, implement optimization strategies to fine-tune generative models for specific NLP use cases, ensuring high-quality outputs in summarization and text generation. Updates logically and conducts evaluations of generative models (e.g., GPT-4), iterate on model architectures, and implement improvements to enhance overall performance in NLP applications. Implements monitoring mechanisms to track model performance and ensure model reliability. Frequently communicates AI/ML/LLM/GenAI capabilities and results to both technical and non-technical audiences. From data analysis and modeling exercises, generate structured and meaningful insights and present them in an appropriate format according to the audience. Collaboratively, work with other data scientists and machine learning engineers to deploy machine learning solutions. As required by the business stakeholder, model risk function, and other groups, carry out ad-hoc and periodic analysis. Adds to team culture of diversity, opportunity, inclusion, and respect Required qualifications, capabilities, and skills Formal training or certification in applied AI/ML concepts and 3+ years applied experience Proficiency in programming languages like Python for model development, experimentation, and integration with OpenAI API. Experience with machine learning frameworks, libraries, and APIs, such as TensorFlow, PyTorch, Scikit-learn, and OpenAI API. Experience in building AI/ML models on structured and unstructured data along with model explainability and model monitoring. Solid understanding of fundamentals of statistics, machine learning (e.g., classification, regression, time series, deep learning, reinforcement learning), and generative model architectures, particularly GANs, VAEs. Experience with a broad range of analytical toolkits, such as SQL, Spark, Scikit-Learn, and XGBoost. Experience with graph analytics and neural networks (PyTorch). Excellent problem-solving, communication (verbal and written), and teamwork skills. Preferred qualifications, capabilities, and skills Expertise in building AI/ML models on structured and unstructured data along with model explainability and model monitoring. Expertise in designing and implementing pipelines using Retrieval-Augmented Generation (RAG). Familiarity with the financial services industry. Be part of a dynamic team where your distinctive skills will contribute to a winning culture and team. As a Applied AI ML Senior Associate at JPMorgan Chase within the Asset and Wealth Management , you serve as a seasoned member of an agile team to design and deliver trusted data collection, storage, access, and analytics solutions in a secure, stable, and scalable way. You are responsible for developing, testing, and maintaining critical data pipelines and architectures across multiple technical areas within various business functions in support of the firm s business objectives. Job responsibilities Supports and develops an understanding of key business problems and processes. Advises a model development process, execute tasks including data wrangling/analysis, model training, testing, and selection. Strategically, implement optimization strategies to fine-tune generative models for specific NLP use cases, ensuring high-quality outputs in summarization and text generation. Updates logically and conducts evaluations of generative models (e.g., GPT-4), iterate on model architectures, and implement improvements to enhance overall performance in NLP applications. Implements monitoring mechanisms to track model performance and ensure model reliability. Frequently communicates AI/ML/LLM/GenAI capabilities and results to both technical and non-technical audiences. From data analysis and modeling exercises, generate structured and meaningful insights and present them in an appropriate format according to the audience. Collaboratively, work with other data scientists and machine learning engineers to deploy machine learning solutions. As required by the business stakeholder, model risk function, and other groups, carry out ad-hoc and periodic analysis. Adds to team culture of diversity, opportunity, inclusion, and respect Required qualifications, capabilities, and skills Formal training or certification in applied AI/ML concepts and 3+ years applied experience Proficiency in programming languages like Python for model development, experimentation, and integration with OpenAI API. Experience with machine learning frameworks, libraries, and APIs, such as TensorFlow, PyTorch, Scikit-learn, and OpenAI API. Experience in building AI/ML models on structured and unstructured data along with model explainability and model monitoring. Solid understanding of fundamentals of statistics, machine learning (e.g., classification, regression, time series, deep learning, reinforcement learning), and generative model architectures, particularly GANs, VAEs. Experience with a broad range of analytical toolkits, such as SQL, Spark, Scikit-Learn, and XGBoost. Experience with graph analytics and neural networks (PyTorch). Excellent problem-solving, communication (verbal and written), and teamwork skills. Preferred qualifications, capabilities, and skills Expertise in building AI/ML models on structured and unstructured data along with model explainability and model monitoring. Expertise in designing and implementing pipelines using Retrieval-Augmented Generation (RAG). Familiarity with the financial services industry.

Who are we Whatfix is a data-driven digital adoption platform (DAP) that enables organizations and users to maximize the benefits of software. Whatfix acts as an interactive overlay on top of any application to guide users with real-time guidance, self-help support, and user feedback. With product analytics and AI, Whatfix enables scalable success with technology, maximizing productivity, and leveraging data-driven insights for better decision-making. The company has seven offices globally in the US, India, UK, Germany, Singapore, and Australia, and works with Fortune 500 companies around the world. Whatfix has raised $140 million to date and is backed by marquee investors including Softbank, Sequoia, Dragoneer, and Cisco Investments. Hustle Mode ON is the motto we live by. Whatfix has been named among the top 20 B2B tech companies like Adobe, PayPal, and Cisco. With YoY revenue growth of over 65% , we have also been recognized among the top 20 fastest-growing SaaS companies worldwide in the SaaS 1000 list . Recognized by Forrester and Everest Group as a Leader in the digital adoption space, and listed by LinkedIn among one of the Top 5 startups in India in 2020 Listed in Deloitte Technology Fast 500 among fastest-growing companies in North America for 2022 and 2021 and recognized as Great Place to Work 2022-2023 Our Customer centricity is evident from a Customer rating of 4.67 on G2 Crowd & 4.7 on Gartner Peer Insights What youll get to do As a Performance Marketing Specialist, you will operate as a campaign owner, independently managing campaigns and being responsible for all optimization strategies . Your role builds upon the core campaign execution and data analysis skills that you have gained in your experience in this domain so far . Develop and Optimize Campaign Strategies : Independently manage and own performance marketing campaigns, focusing on developing and executing comprehensive optimization strategies to continuously improve performance metrics . Advanced Analytics & Reporting : Apply strong analytical thinking and expertise in data analysis to track and measure key performance indicators (KPIs) specific to performance marketing . Utilize data to inform and improve marketing efforts by tracking, measuring, and reporting on key metrics to provide actionable strategies and insights . Conversion Rate Optimization (CRO) : Drive optimization efforts to enhance ad performance, specifically aiming to increase Marketing Qualified Leads (MQLs) or decrease Cost Per Lead (CPL), and consistently measure and improve Return on Investment (ROI) . In-depth Channel Management & Technical Proficiency : Create and manage effective PPC (Pay-Per-Click) campaigns and build solid social media ads for engagement and conversions, including list building and segmentation . Manage and optimize paid advertising across platforms such as Google Ads, Bing Ads , and LinkedIn Ads . You should also possess relevant certifications in these areas . Leverage analytics platforms like GA4 (Google Analytics 4) to monitor campaign effectiveness and derive insights Work with the Marketing Automation team to ensure the right CRM/MAP (Marketing Automation Platform) integrations are in place Conduct thorough audience research to refine targeting and messaging for optimal campaign engagement . Possess practical experience with marketing tags and tracking, including Google Tag Manager , to ensure accurate data collection. (Note: Google Tag Manager is outside of the provided sources). Demonstrate implementation experience with Account-Based Marketing (ABM) platforms such as Demandbase or 6Sense for targeted campaigns . Collaborative Campaign Delivery : Coordinate seamlessly with internal teams such as Integrated Marketing, Events Marketing, BDRs/SDRs, and Design for requirement gathering and successful campaign delivery, suggesting and following best practices for respective channels . Innovation, Learning & Mindset : Embrace a " Hustle Mode ON " mindset, proactively improvising processes and reporting involved in campaign management, and driving innovation on existing team practices . Exhibit a strong proclivity for continuous learning , proactively upskilling on Whatfix product offerings and researching functional trends & innovations . You will acquire foundational knowledge in performance marketing and build skills in specific areas (e.g., SEO, PPC), demonstrating a readiness to implement new tools and technologies to enhance campaign efficiency and effectiveness . What you should have Bachelors degree in marketing, communications, or a related field Proven experience as a Performance Marketing Campaign Manager. Strong project management skills with the ability to manage multiple campaigns simultaneously. Excellent written and verbal communication skills. Proficiency in using marketing automation and campaign management tools. Analytical mindset with the ability to interpret campaign data and derive actionable insights. Creative thinking and problem-solving skills. Ability to work collaboratively in a fast-paced, cross-functional team environment. Knowledge of SaaS industry and B2B marketing is a plus Perks & Benefits (India) Best-in-class medical insurance coverage Free lunch & dinner buffet Doorstep cab drop facility Education sponsorship Internal job transfer & global mobility programs Scope to represent Whatfix at global events We also provide uncapped incentives, bonus plans and opportunities to employees (especially those in GTM teams) to travel to meet our global customers Please Note: We strive to live and breathe our Cultural Principles and encourage employees to demonstrate some of these core values like - Customer First; Empathy; Transparency; Fail Fast & Scale Fast; No Hierarchies for Communication; Deep Dive & Innovate; Trust, Do it as you own it; .