110 Social Listening Jobs - Page 5

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. 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 ideal candidate must possess in-depth functional knowledge of the process area and apply it to operational scenarios to provide effective solutions. The role enables 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, 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 Manger Roles 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 to 7 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. 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. Associate Process Manger Roles 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 3+ 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.

Skill required: Delivery - Sprinklr Designation: I&F Decision Sci Practitioner Sr Analyst Qualifications: Any Graduation Years of Experience: 5 to 8 years What would you do? Data & AIA social media management tool for enterprises. It provides social media marketing, social advertising, content management, collaboration, advocacy and social media monitoring for large enterprises. What are we looking for? Sprinklr Social Media Monitoring & Analytics Adaptable and flexible Written and verbal communication Ability to work well in a team Agility for quick learning Commitment to quality Roles and Responsibilities: In this role you are required to do analysis and solving of increasingly complex problems Your day-to-day interactions are with peers within Accenture You are likely to have some interaction with clients and/or Accenture management You will be given minimal instruction on daily work/tasks and a moderate level of instruction on new assignments Decisions that are made by you impact your own work and may impact the work of others In this role you would be an individual contributor and/or oversee a small work effort and/or team Qualification Any Graduation

Skill required: Delivery - Sprinklr Designation: I&F Decision Sci Practitioner Analyst Qualifications: Any Graduation Years of Experience: 3 to 5 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 & AIA social media management tool for enterprises. It provides social media marketing, social advertising, content management, collaboration, advocacy and social media monitoring for large enterprises. What are we looking for Sprinklr Social Media Monitoring & Analytics Adaptable and flexible Written and verbal communication Ability to work well in a team Agility for quick learning Commitment to quality Roles and Responsibilities: In this role you are required to do analysis and solving of lower-complexity problems Your day-to-day interaction is with peers within Accenture before updating supervisors In this role you may have limited exposure with clients and/or Accenture management You will be given moderate level instruction on daily work tasks and detailed instructions on new assignments The decisions you make impact your own work and may impact the work of others You will be an individual contributor as a part of a team, with a focused scope of work Qualification Any Graduation

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. Associate Process Manger Roles 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 3+ 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.

Monitor and respond to user feedback, and complaints. Engage with audiences across digital platforms on behalf of the brand. Address negative feedback and resolve queries within TAT. Build brand awareness through prompt and thoughtful communication.

The ideal candidate must possess in-depth functional knowledge of the process area and apply it to operational scenarios to provide effective solutions. The role enables 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, 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 Manger Roles 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 to 7 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.

Data Science Consultants (DSCs) design, develop and execute high-impact analytics solutions for large, complex, structured and unstructured data sets (including big data) to help clients make better fact-based decisions. Responsibilities: Develop advanced algorithms that solve problems of large dimensionality in a computationally efficient and statistically effective manner Execute statistical and data mining techniques (e.g. hypothesis testing, machine learning and retrieval processes) on large data sets to identify trends, figures and other relevantinformation Collaborating with clients and cross functional teams to develop & deploy the data science solutions effectively & communicate the analysis findings Contribute to the evaluation of emerging datasets and technologies that may contribute toour analytical platform Evaluating emerging datasets and technologies that may contribute to our analytical platform Owning the development of select assets/accelerators for efficient scaling of capability Contributing to the thought leadership of the firm by helping in researching the evolving topics and publishing them Qualifications: Bachelor's or master's degree or PhD in Computer Science (or Statistics) from a premier institute, and strong academic performance with analytic and quantitative coursework is required; Knowledge of big data/advanced analytics concepts and algorithms (e.g. text mining, social listening, recommender systems, predictive modeling, etc.); Knowledge of programming (e.g. Java/Python/R); Exposure to tools/platforms (e.g. Hadoop eco system and database systems); Excellent oral and written communication skills; Strong attention to detail, with a research-focused mindset; Excellent critical thinking and problem-solving skills; High motivation, good work ethic and maturity. ZS is a global consulting firm; fluency in English is required, additional fluency in at least one European or Asian language is desirable. ZS offers a competitive compensation package with salary and bonus incentives, plus an attractive benefits package.

Associate Consultant, Customer Success, BHCA: Customer Success Associate Consultant design, develop and execute high-impact analytics solutions for large, complex, structured, and unstructured data sets (including big data) to drive impact on client business (topline). This person will lead the engagement for AI based SaaS product deployment to clients across industries. Leverage their strong Data Science, analytics and engineering skills to build Advanced analytics processes, build scalable and operational process pipelines and find data-driven insights that help our clients solve their most important business problems and bring optimizations. Associate Consultants also engage with Project Leadership team and clients to help them understand the insights, summaries, implications and make plans to act on them. What Youll Do: Deep analytics-tech expertise: Develop and implement advanced algorithms that solve complex business problems in a computationally efficient and statistically effective manner leveraging tools like PySpark, Python, SQL on Client/ZS cloud environment Execute statistical and data modelling techniques (e.g. hypothesis testing, A/B Testing setup, marketing impact analytics, statistical validity etc.) on large data sets to identify trends, figures and other relevant information with scalable and operational process implementations. Evaluating emerging datasets and technologies that may contribute to our analytical platform including good understanding of Generative AI capabilities and SaaS products. Communication, collaboration, unstructured problem solving and client engagement (in a high performing and high intensity team environment): Problem solving and Client engagement : Understand client business priorities, develop product use cases, do proforma analysis for estimating business opportunity, and deploy the use case for the clients. Collaboration: Work in a cross-functional team environment to lead the client engagement and collaborate on holistic solutions comprising of best practices from Frontend and Backend engineering, Data Science, and ML Engineering area. Storyboarding impact communication : Build effective storyboards to communicate solution impact to clients and ZS Leadership Scaling mindset: Provide a structure to client engagement, build and maintain standardized and operationalized Quality Checks on teams work and ensuring high quality client deliverables Team management : Export best practices and learnings to broader team and mentor Associates on teams What Youll Bring: Bachelor's degree in Computer Science (or Statistics) from a premier institute, and strong academic performance with analytics and quantitative coursework is required Knowledge of programming - Python (Deep Expertise), Pyspark, SQL Expertise in machine learning, regression, clustering, and classification models (preferably in a product environment) Knowledge of big data/advanced analytics concepts and algorithms (e.g. social listening, recommender systems, predictive modeling, etc.) Excellent oral and written communication skills Strong attention to detail, with a value-addition mindset Excellent critical thinking and problem-solving skills High motivation, good work ethic and maturity. 3-5 years of relevant post-collegiate work experience, preferably in industries like B2C, Product companies, in execution roles focused on Data Decision Sciences, Data Engineering, Stakeholder management and building scalable processes. Should have hands on analytics experience where the candidate has worked on the algorithms / methodology from scratch and not merely executed existing codes and processes. Ability to coach, mentor juniors on the team to drive on the job learning expertise building