564 Data Interpretation Jobs - Page 4

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.

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.

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.

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.

Job Description: Job Title: Operations Expert, AVP Location: Jaipur, India Role Description Deutsche Bank is committed to being the best financial services provider in the world, balancing passion with precision to deliver superior solutions for our clients. This is made possible by our people: agile minds, able to see beyond the obvious and act effectively in an ever-changing global business landscape. As you ll discover, our culture supports diverse perspectives, driven by a shared sense of purpose. Margin Operations responsible for minimizing Deutsche Bank s counterparty credit risk on its collateralized derivatives portfolio. We aggregate the Bank s exposure across trading activity globally, administer the margin terms dictated in bilateral ISDA and CSA (Credit Support Annex) Agreements and facilitate exchange of permissible collateral (cash or securities) with our clients or central clearing counterparties. The team also manages Margin Disputes, regulatory Portfolio Reconciliation and Data Control flowing into the margining systems for APAC, EMEA and US regions. What we ll offer you As part of our flexible scheme, here are just some of the benefits that you ll enjoy, Best in class leave policy. Gender neutral parental leaves 100% reimbursement under childcare assistance benefit (gender neutral) Sponsorship for Industry relevant certifications and education Employee Assistance Program for you and your family members Comprehensive Hospitalization Insurance for you and your dependents Accident and Term life Insurance Complementary Health screening for 35 yrs. and above Your key responsibilities Be a central point of contact for external clients on valuations and responding / resolving their queries / disputes in a timely and professional manner and having to build strong working relationships with various front and back offices departments globally Coordinate with such areas as Trading, Sales, Product control and Middle Office to resolve escalated customer inquiries and disputes Close interaction with regional and global teams to ensure consistency in procedures and policy and to stay aware of organizational objectives Keep Management informed of the exceptional occurrences, to enable appropriate action Manage risks relating to specific processes and identify any deviations from established policies and guidelines Re-engineering the current process to meet the changing needs of the business. Leading/contributing to various projects which are kicked off in the department to increase efficiency in the process. Manage operational risk by checking strength of existing controls and recommend/implement new or improved controls Expected to monitor KPIs and KRIs of the process. Lead and contribute to Global initiatives that could be strategic and tactical in nature Knowledge of TriResolve, Acadiasoft is must Knowledge of Tableau, Alteryx and other self-service analytical and data interpretation tools will be an advantage Your skills and experience Strong organisational skills; ability to identify and prioritise multiple tasks based on criticality, impact and franchise importance. Exceptional communication skills - verbal, written and presentation. Independent problem solver who demonstrates accountability as well as execution capability. Ability to independently coordinate and manage work requirements across multiple business areas and functions. Ability to work in a fast-paced, highly regulated environment. Ability to connect with people as well as desire to learn process flows. Dedication to servicing a demanding internal and external client base. Ability to mentor and coach the new joiners. Professional skills Degree educated in Finance, Commerce or related field, or have a minimum of 6 years of work experience in a Banking/Finance environment. Experience working in a global, cross matrix reporting organization Should have detailed understating of Derivatives, Trade Life Cycle, UnCleared Margin Rules, reconciliations and settlements processes Microsoft Excel skills to a good standard. How we ll support you Training and development to help you excel in your career. Coaching and support from experts in your team. A culture of continuous learning to aid progression. A range of flexible benefits that you can tailor to suit your needs.

Roles and responsibilities: Execute tests, collect and analyze data and results, identify trends and insights in order to achieve maximum ROI in paid search campaigns Track, report, and analyze website analytics and PPC initiatives, and campaigns Perform ongoing keyword discovery, expansion, and optimization Research and implement search engine optimization recommendations Research and analyze competitor advertising links Develop and implement link building strategy Work with the development team to ensure SEO best practices are properly implemented on newly developed code Work with editorial and marketing teams to drive SEO in content creation and content programming Recommend changes to website architecture, content, linking, and other factors to improve SEO positions for target keywords. Technical and Functional Skills: Graduate with a minimum of 4 to 6 years of proven experience in SEO Knowledge of ranking factors and search engine algorithms Up-to-date with the latest trends and best practices in SEO and SEM

About The Role Skill required: Delivery - Record To Report (R2R) Designation: I&F Decision Sci Practitioner Specialist Qualifications: Any Graduation/Master of Business Administration Years of Experience: 7 to 11 years About Accenture Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song all powered by the worlds largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. Visit us at www.accenture.com What would you do Data & AI - F&AA Finance and Accounting (F&A) management process which involves collecting, processing and delivering relevant, timely and accurate information used for providing strategic, financial and operational feedback to understand how a business is performing. It covers the steps involved in preparing and reporting the overall accounts which are typically stored in a general or nominal ledger and managed by a Controller. What are we looking for Record to Report Assessments General Ledger Reconciliations Fixed Asset Accounting Intercompany Account Reconciliation Month close Reporting Journal Entry Processing Reconciliations Python SAP Cockpit Cash & Bank Excellent analytical skills Great conversational and story-telling skills Self-motivated individual willing to also work in individual contributor roles Ability to work in an ambiguous work environment Ability to prioritize conflicting activities Ability to work in Horizontal-Vertical Structure Roles and Responsibilities: Strong domain knowledge Extensive work experience in Record to Report - Finance & Accounting Processes in Transformational Consultant roles. 5-6 years of experience in Record to Report processes is a must Partner with Clients to identify opportunities in order to impact Business Metrics Excellent Data Interpretation Skills and Strong Story Telling Skills around the Data Handle client conversations with senior stakeholders from Fortune 500 clients on topics around F&A Benchmarking, latest trends in the industry, Maturity Road Maps etc. Good (English) communication skills and the ability to interact with both external stakeholders, internal stakeholders and other data collection specialists. Strong decision-making skills, can-do attitude and ability to work with ambiguity Works effectively both independently and as a member of a cross-functional team Advanced MS-excel skills including formula, pivots, look-ups, statistical inferences Hands on experience on two or more ERPs and consolidation systems (SAP, Oracle, JDE, Workday, Hyperion, Cadency, Blackline etc.) preferably with data entry and extraction processes Project Management experience, along with stakeholder management across business functions Is a strong Subject Matter Expert in Record to Report Process. Experience in processing and analyzing Journal entry, Reconciliations, Fixed Assets, Inter Company and Month-close activities will be a significant added advantage Consolidate big-data, analyze, resolve data gaps, infer key insights, prepare recommendations, presentation to stakeholders and managing end-to-end project governance Interact effectively with both external and internal stakeholders, as well as other parties involved in analytics engagement Conceptualize and define RtR - F&A metrics relevant to the engagements & take complete ownership for driving them Oversee the development of such metrics (targeted business outcomes achieved)- by providing guidance and feedback to the operations team Anchor key discussions with the clients around F&A Processes, ERP gaps etc. Conduct training to end users on F&A Analytical Solutions Ensures compliance with data security, governance model and solutions deployed Build long-term relationship with stakeholders, handles and sorts out major customer escalations in order to ensure strong customer relationships and enhance business Qualification Any Graduation,Master of Business Administration

Amazons ROW (Rest of World) Supply Chain Analytics team is looking for talented Business Intelligence Engineers who develop solutions to better manage/optimize speed and operations planning while providing the best experience to our customers at the lowest possible price Our team members have an opportunity to be at the forefront of supply chain thought leadership by working on some of the most difficult problems with some of the best research scientists, product/program managers, software developers and business leaders in the industry, shaping our roadmap to drive real impact on Amazon's long-term profitability We are an agile team, building new analysis from ground up, proposing new concepts and technology to meet business needs, and enjoy and excel at diving into data to analyze root causes and implement long-term solutions As a BIE within the group, you will analyze massive data sets, identify areas to improve, define metrics to measure and monitor programs, build models to predict and optimize and most importantly work with different stakeholders to drive improvements over time You will also work closely with internal business teams to extract or mine information from our existing systems to create new analysis, build analytical products and cause impact across wider teams in intuitive ways This position provides opportunities to influence high visibility/high impact areas in the organization They are right a lot, work very efficiently, and routinely deliver results on time They have a global view of the analytical and/or science solutions that they build and consistently think in terms of automating, expanding, and scaling the results broadly This position also requires you to work across a variety of teams, including transportation, operations, finance, delivery experience, people experience and platform (software) teams Successful candidates must thrive in fast-paced environments which encourage collaborative and creative problem solving, be able to measure and estimate risks, constructively critique peer research, extract and manipulate data across various data marts, and align research focuses on Amazons strategic needs We are looking for people with a flair for recognizing trends and patterns while correlating it to the business problem at hand If you have an uncanny ability to decipher the exact policy/mechanism/solution to address the challenge and ability to influence folks using hard data (and some tact) then we are looking for you Analysis of historical data to identify trends and support decision making, including written and verbal presentation of results and recommendations Collaborating with product and software development teams to implement analytics systems and data structures to support large-scale data analysis and delivery of analytical and machine learning models Mining and manipulating data from database tables, simulation results, and log files Identifying data needs and driving data quality improvement projects Understanding the broad range of Amazons data resources, which to use, how, and when Thought leadership on data mining and analysis Modeling complex/abstract problems and discovering insights and developing solutions/products using statistics, data mining, science/machine-learning and visualization techniques Helping to automate processes by developing deep-dive tools, metrics, and dashboards to communicate insights to the business teams Collaborating effectively with internal end-users, cross-functional software development teams, and technical support/sustaining engineering teams to solve problems and implement new solutions About The Team ROW (Rest of World) Supply Chain analytics team is hiring multiple BIE roles in speed, planning, inbound and SNOP functions The role will be responsible for generating insights, defining metrics to measure and monitor, building analytical products, automation and self-serve and overall driving business improvements The role involves combination of data-analysis, visualization, statistics, scripting, a bit of machine learning and usage of AWS services Basic Qualifications 5+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc experience Experience with data visualization using Tableau, Quicksight, or similar tools Experience with data modeling, warehousing and building ETL pipelines Experience with forecasting and statistical analysis Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling Preferred Qualifications Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift Experience in data mining, ETL, etc and using databases in a business environment with large-scale, complex datasets Experience developing and presenting recommendations of new metrics allowing better understanding of the performance of the business

Role & responsibilities Extract, clean, and analyze large data sets using SQL Design and build dashboards and reports using Power BI Knowledge on Python, DBT, GIT, Clickhouse, Postgres & Airflow is optional Translate business problems into data questions and analytics models. Partner with business stakeholders to identify KPIs and track performance metrics. Develop predictive and prescriptive models to support decision-making. Present findings and actionable insights to senior leadership. Ensure data quality, consistency, and governance standards are maintained. Mentor junior analysts or interns as needed. Preferred candidate profile Bachelors or Masters degree in Statistics, Data Science, Computer Science, Mathematics, Economics, or a related field. 2+ years of experience in data analytics, business intelligence, or data science roles. Strong proficiency in SQL, Excel, and data visualization tools (e.g., Power BI). Good understanding of databases, ETL pipelines, and cloud data environments (e.g., AWS, GCP, Azure). AI & ML knowledge will be an added advantage. Excellent communication and storytelling skills Strong problem-solving skills and attention to detail. Interested parties, please forward your full resume to career.india@emiratesline.com

In this role, you will: Participate in or help entry-level positions with low to moderately complex model maintenance and optimization initiatives related to operational processes, controls, reporting, testing, implementation, and documentation Analyze basic data sets, quantitative models, and model output to validate model efficiency and results in support of business opportunities Provide design thinking and best practices to resolve basic model optimization methodology and processes Present recommendations to leadership for resolving low to moderately complex situations by exercising independent judgment while developing expertise in quantitative model operations Collaborate and consult with peers, colleagues, and managers to resolve issues and achieve goals Required Qualifications: 2+ years of quantitative model solutions or quantitative model operations experience, or equivalent demonstrated through one or a combination of the following: work experience, training, education Desired Qualifications: Excellent verbal, written, and interpersonal communication skills Strong ability to develop partnerships and collaborate with other business and functional areas 2+ years of advanced programming expertise in Python, Tableau and SAS Strong technical skills and problem solving skills Knowledge and understanding of issues or change management processes Experience determining root cause analysis Detail oriented, results driven, and has the ability to navigate in a quickly changing and high demand environment while balancing multiple priorities Role: Data Science & Analytics - Other Industry Type: IT Services & Consulting Department: Data Science & Analytics Employment Type: Full Time, Permanent Role Category: Data Science & Analytics - Other Education UG: Any Graduate PG: Any Postgraduate

In this role, you will: Participate in or help entry-level positions with low to moderately complex model maintenance and optimization initiatives related to operational processes, controls, reporting, testing, implementation, and documentation Analyze basic data sets, quantitative models, and model output to validate model efficiency and results in support of business opportunities Provide design thinking and best practices to resolve basic model optimization methodology and processes Present recommendations to leadership for resolving low to moderately complex situations by exercising independent judgment while developing expertise in quantitative model operations Collaborate and consult with peers, colleagues, and managers to resolve issues and achieve goals Required Qualifications: 2+ years of quantitative model solutions or quantitative model operations experience, or equivalent demonstrated through one or a combination of the following: work experience, training, education Desired Qualifications: Excellent verbal, written, and interpersonal communication skills Strong ability to develop partnerships and collaborate with other business and functional areas 2+ years of advanced programming expertise in Python, Tableau and SAS Strong technical skills and problem solving skills Knowledge and understanding of issues or change management processes Experience determining root cause analysis Detail oriented, results driven, and has the ability to navigate in a quickly changing and high demand environment while balancing multiple priorities Role: Data Science & Analytics - Other Industry Type: IT Services & Consulting Department: Data Science & Analytics Employment Type: Full Time, Permanent Role Category: Data Science & Analytics - Other Education UG: Any Graduate PG: Any Postgraduate

You have proven experience working in GMP/GLP and scientific environments. You possess basic knowledge of Spectroscopic and Biophysical techniques, Peptide chemistry, as well as peptide characterization. Your expertise lies in at least one of these subjects. Additionally, you have experience in related compound method development and method validation for Peptide drug products using LC-UV and Amino acid analyzer. Hands-on experience with SEC-UV SEC-MALS, SV-AUC, CE, and data interpretation is also one of your strengths in at least one of the techniques and data interpretation. You are skilled in the preparation and review of method development and method validation reports. Knowledge of ICH guidelines and regulatory requirements for peptide products is part of your expertise. As a team player, you are willing to work at different job locations as per the team's requirement. Furthermore, having knowledge of scientific writing will be a plus. Qualifications required for this role include an M. Pharm/M. Sc degree. Amneal is an equal opportunity employer that values diversity and inclusion, ensuring no discrimination based on caste, religion, gender, disability, or any other legally protected status. The Human Resources team at Amneal partners with all aspects of the organization, driving success through effective and innovative people management for both current and future business needs. The team performs key roles such as: - Executive Role: Specialists in all aspects of people management, providing high-level strategic input into key business decisions. - Audit Role: Ensuring compliance with legal requirements and best practice employment policies and procedures across the organization. - Facilitator Role: Partnering closely with different areas of the organization to support, advise, and enhance their ability to meet objectives through highly effective employment practices in areas like Talent Acquisition, Learning and Development, Reward systems, Performance Management, and Health and Wellbeing. - Consultancy Role: Providing expert advice to the organization and its managers on various aspects of workforce management, employee relations, and performance. - Service Role: Keeping the organization informed and equipped to handle developments impacting employment matters, including changes in legislation and labor market characteristics.,

As an experienced Business Analyst (Pre Sales) at RG Infotech, your primary responsibility will be Client & Business Development. You should possess good knowledge of online bidding on portals such as Freelancer and Upwork. Your role will involve interfacing with technical teams, writing and reviewing business processes, functional design, and collaborating with development teams. It is essential to have a strong working knowledge of SRS and other documentation. Your analytical skills will be crucial in asking the right questions, gathering requirements effectively, and working under pressure to deliver results. You must be a result-driven individual with the ability to manage stress, prioritize tasks, and excel in proposal making. Excellent written and verbal communication skills are necessary for effective collaboration within the team. In this role, you will conduct feasibility analysis, scope projects, and collaborate with the project management team to prioritize deliverables and negotiate on product functionalities. You will be responsible for creating detailed Business Requirement Document (BRD) and translating it into functional specifications. Additionally, you will provide analytic support by coordinating data extraction from various databases and interpreting data. Collaboration with development and analytic teams to provide reporting on software solutions will be a key aspect of your job. You will also be expected to meet and exceed targets related to revenue activities, customer acquisition, profit margin, and overall company growth. Being a team player, eager to learn, possessing a positive attitude, and being self-disciplined are qualities that will contribute to your success in this role.,

We are looking for a dynamic and enthusiastic Marketing Executive to join our marketing teams in the UK at Gallagher. As part of our global operations, you will work with marketing colleagues and key stakeholders to drive revenue through campaigns and enhance the customer experience. We are seeking a data-driven individual with excellent attention to detail and the ability to prioritize workload effectively. Your responsibilities will include working with in-house teams to support retention, nurture, and lead generation objectives. You will monitor and report on campaign performance, email KPIs, and lead data to provide insights for optimizing campaigns and improving conversion rates. Additionally, you will analyze data from multiple channels, measure engagement, and provide insights into the customer experience. You will also be responsible for producing monthly and quarterly reports, building campaign dashboards, and providing support to sales teams. To excel in this role, you should have strong analytical skills, proficiency in Excel, Word, and PowerPoint, CRM experience (Salesforce), and an understanding of digital marketing strategies. Excellent written and verbal communication skills are essential, along with the ability to work independently and as part of a team while managing multiple projects simultaneously. Experience in financial services would be advantageous. At Gallagher, we value inclusion and diversity, which are core aspects of our business. Inclusion and diversity are embedded into our organization's fabric, allowing us to better serve our clients and communities. We embrace our employees" diverse identities, experiences, and talents, viewing diversity as a vital strength. By fostering diversity in all its forms, we embody The Gallagher Way to the fullest. Equal employment opportunity is extended in all aspects of the employer-employee relationship at Gallagher, including recruitment, hiring, training, promotion, and more. Reasonable accommodations will be made for qualified individuals with disabilities, ensuring a supportive work environment for all employees.,