535 Story Writing Jobs - Page 5

About The Role PRIMARY SET Adobe launch/AEP WEB SDK, Adobe Analytics & Project Management (Must Have) Roles and Responsibilities: Collaborate with stakeholders to gather digital analytics requirements and translate them into actionable tracking strategies. Implement and configure Adobe Analytics using Adobe Launch (Client-Side and Web SDK) and set up data layers. Set up and manage custom eVars, props, events , classifications, and Analysis Workspace dashboards . Perform end-to-end QA and validation of tags to ensure accurate tracking and data integrity. Build interactive and insightful dashboards in Adobe Analytics Workspace to visualize performance and user behavior. Translate data into clear, actionable insights and business recommendations that inform digital marketing, product strategy, and UX decisions. Define KPIs and measurement strategies aligned with business goals and customer journeys. Present data-driven stories to business and leadership teams, using visuals and narratives to influence strategic decisions. Troubleshoot and resolve issues with implementation, reporting, and data discrepancies. Implement and manage third-party pixels and marketing tags (e.g., Meta, Google, LinkedIn) through Adobe Launch. Monitor site performance and user interaction patterns to uncover optimization opportunities and A/B test hypotheses. Stay current with Adobe product releases, digital analytics trends, and industry best practices. Technical and Functional Skills: Bachelor's degree with 6-7 years of hands-on experience in Adobe Analytics and Adobe Launch implementation . Strong proficiency in Adobe Analytics Workspace report building, segmentation, calculated metrics, and data storytelling. Expertise in configuring Adobe Launch rules, events, extensions , and deploying custom tracking codes. Strong understanding of JavaScript, HTML, CSS , and web development debugging tools (e.g., Charles, Adobe Debugger). Experience with data layer architecture , solution design documents, and tag documentation. Deep understanding of digital KPIs, conversion funnels, attribution models , and behavior analysis. Proven ability to analyse large datasets , detect trends, uncover root causes, and propose actionable recommendations. Excellent communication and storytelling skills to convey insights and influence decision-makers. Experience with A/B testing tools (e.g., Adobe Target, Optimizely) and interpreting test results is a plus. Exposure to Customer Journey Analytics (CJA) , Real-Time CDP, or cross-channel segmentation is a bonus.

About The Role PRIMARY SET Adobe launch/AEP WEB SDK, Adobe Analytics & Project Management (Must Have) Roles and Responsibilities: Collaborate with stakeholders to gather digital analytics requirements and translate them into actionable tracking strategies. Implement and configure Adobe Analytics using Adobe Launch (Client-Side and Web SDK) and set up data layers. Set up and manage custom eVars, props, events , classifications, and Analysis Workspace dashboards . Perform end-to-end QA and validation of tags to ensure accurate tracking and data integrity. Build interactive and insightful dashboards in Adobe Analytics Workspace to visualize performance and user behavior. Translate data into clear, actionable insights and business recommendations that inform digital marketing, product strategy, and UX decisions. Define KPIs and measurement strategies aligned with business goals and customer journeys. Present data-driven stories to business and leadership teams, using visuals and narratives to influence strategic decisions. Troubleshoot and resolve issues with implementation, reporting, and data discrepancies. Implement and manage third-party pixels and marketing tags (e.g., Meta, Google, LinkedIn) through Adobe Launch. Monitor site performance and user interaction patterns to uncover optimization opportunities and A/B test hypotheses. Stay current with Adobe product releases, digital analytics trends, and industry best practices. Technical and Functional Skills: Bachelor's degree with 6-7 years of hands-on experience in Adobe Analytics and Adobe Launch implementation . Strong proficiency in Adobe Analytics Workspace report building, segmentation, calculated metrics, and data storytelling. Expertise in configuring Adobe Launch rules, events, extensions , and deploying custom tracking codes. Strong understanding of JavaScript, HTML, CSS , and web development debugging tools (e.g., Charles, Adobe Debugger). Experience with data layer architecture , solution design documents, and tag documentation. Deep understanding of digital KPIs, conversion funnels, attribution models , and behavior analysis. Proven ability to analyse large datasets , detect trends, uncover root causes, and propose actionable recommendations. Excellent communication and storytelling skills to convey insights and influence decision-makers. Experience with A/B testing tools (e.g., Adobe Target, Optimizely) and interpreting test results is a plus. Exposure to Customer Journey Analytics (CJA) , Real-Time CDP, or cross-channel segmentation is a bonus.

About The Role PRIMARY SET Adobe launch/AEP WEB SDK, Adobe Analytics & Project Management (Must Have) Roles and Responsibilities: Collaborate with stakeholders to gather digital analytics requirements and translate them into actionable tracking strategies. Implement and configure Adobe Analytics using Adobe Launch (Client-Side and Web SDK) and set up data layers. Set up and manage custom eVars, props, events , classifications, and Analysis Workspace dashboards . Perform end-to-end QA and validation of tags to ensure accurate tracking and data integrity. Build interactive and insightful dashboards in Adobe Analytics Workspace to visualize performance and user behavior. Translate data into clear, actionable insights and business recommendations that inform digital marketing, product strategy, and UX decisions. Define KPIs and measurement strategies aligned with business goals and customer journeys. Present data-driven stories to business and leadership teams, using visuals and narratives to influence strategic decisions. Troubleshoot and resolve issues with implementation, reporting, and data discrepancies. Implement and manage third-party pixels and marketing tags (e.g., Meta, Google, LinkedIn) through Adobe Launch. Monitor site performance and user interaction patterns to uncover optimization opportunities and A/B test hypotheses. Stay current with Adobe product releases, digital analytics trends, and industry best practices. Technical and Functional Skills: Bachelor's degree with 6-7 years of hands-on experience in Adobe Analytics and Adobe Launch implementation . Strong proficiency in Adobe Analytics Workspace report building, segmentation, calculated metrics, and data storytelling. Expertise in configuring Adobe Launch rules, events, extensions , and deploying custom tracking codes. Strong understanding of JavaScript, HTML, CSS , and web development debugging tools (e.g., Charles, Adobe Debugger). Experience with data layer architecture , solution design documents, and tag documentation. Deep understanding of digital KPIs, conversion funnels, attribution models , and behavior analysis. Proven ability to analyse large datasets , detect trends, uncover root causes, and propose actionable recommendations. Excellent communication and storytelling skills to convey insights and influence decision-makers. Experience with A/B testing tools (e.g., Adobe Target, Optimizely) and interpreting test results is a plus. Exposure to Customer Journey Analytics (CJA) , Real-Time CDP, or cross-channel segmentation is a bonus.

Roles and Responsibilities: Collaborate with stakeholders to gather digital analytics requirements and translate them into actionable tracking strategies. Implement and configure Adobe Analytics using Adobe Launch (Client-Side and Web SDK) and set up data layers. Set up and manage custom eVars, props, events , classifications, and Analysis Workspace dashboards . Perform end-to-end QA and validation of tags to ensure accurate tracking and data integrity. Build interactive and insightful dashboards in Adobe Analytics Workspace to visualize performance and user behavior. Translate data into clear, actionable insights and business recommendations that inform digital marketing, product strategy, and UX decisions. Define KPIs and measurement strategies aligned with business goals and customer journeys. Present data-driven stories to business and leadership teams, using visuals and narratives to influence strategic decisions. Troubleshoot and resolve issues with implementation, reporting, and data discrepancies. Implement and manage third-party pixels and marketing tags (e.g., Meta, Google, LinkedIn) through Adobe Launch. Monitor site performance and user interaction patterns to uncover optimization opportunities and A/B test hypotheses. Stay current with Adobe product releases, digital analytics trends, and industry best practices. Technical and Functional Skills: Bachelor's degree with 6-7 years of hands-on experience in Adobe Analytics and Adobe Launch implementation . Strong proficiency in Adobe Analytics Workspace report building, segmentation, calculated metrics, and data storytelling. Expertise in configuring Adobe Launch rules, events, extensions , and deploying custom tracking codes. Strong understanding of JavaScript, HTML, CSS , and web development debugging tools (e.g., Charles, Adobe Debugger). Experience with data layer architecture , solution design documents, and tag documentation. Deep understanding of digital KPIs, conversion funnels, attribution models , and behavior analysis. Proven ability to analyse large datasets , detect trends, uncover root causes, and propose actionable recommendations. Excellent communication and storytelling skills to convey insights and influence decision-makers. Experience with A/B testing tools (e.g., Adobe Target, Optimizely) and interpreting test results is a plus. Exposure to Customer Journey Analytics (CJA) , Real-Time CDP, or cross-channel segmentation is a bonus.

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. Associate Process Manager Role and responsibilities: Understand business problem and requirements by building domain knowledge and translate to data science problem. Conceptualize and design cutting edge data science solution to solve the data science problem, apply design-thinking concepts. Identify the right algorithms, tech stack, sample outputs required to efficiently adder the end need. Prototype and experiment the solution to successfully demonstrate the value. Independently or with support from team, execute the conceptualized solution as per plan by following project management guidelines. Present the results to internal and client stakeholder in an easy to understand manner with great story telling, story boarding, insights and visualization. Help build overall data science capability for eClerx through support in pilots, pre sales pitches, product development, and practice development initiatives. Technical and Functional Skills: Bachelors degree in Computer Science with 4 to 6 years of work experience. Must have experience in Advance Analytics, Data Science, regression, forecasting, analytics, SQL, R, Python, decision tree, random forest, SAS, clustering classification. Ability to engage clients to understand business requirements and convert the same into technical/modelling problems for solution development. Demonstrate strong interpersonal skills and a comfort interacting with clients from the C-suite to marketing managers to technical specialists. Demonstrated knowledge of analytical/statistical techniques and their applications; a working knowledge of/experience in R and Python is a plus. Demonstrated excellent communications skills, both written and spoken, as well as being able to explain complex technical concepts in plain English. Ability to present results of statistical models in business language. Domain understanding of at least one preferably two verticals amongst Retail, Cable, Technology (not mandate). Knowledge of data visualization tools (Tableau, QlikView, etc.) is a plus. Demonstrate strong analytical and storytelling skills and the ability to find relevant stories from piles of reports. Ability to manage specific tasks to completion with minimal direction. Ideal candidate has been in a consulting role previously. Hands-on expertise on the applied statistical techniques including multi-variate regression, logistic regression, market-mix models, clustering, classification, survival, churn models, speech analytics, image analytics, etc. Ability to collaborate with onsite colleagues in the US & UK. Expert in handling large data, cleansing & preparation for modelling. Very high attention to detail and quality.

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. Associate Process Manager Role and responsibilities: Understand business problem and requirements by building domain knowledge and translate to data science problem. Conceptualize and design cutting edge data science solution to solve the data science problem, apply design-thinking concepts. Identify the right algorithms, tech stack, sample outputs required to efficiently adder the end need. Prototype and experiment the solution to successfully demonstrate the value. Independently or with support from team, execute the conceptualized solution as per plan by following project management guidelines. Present the results to internal and client stakeholder in an easy to understand manner with great story telling, story boarding, insights and visualization. Help build overall data science capability for eClerx through support in pilots, pre sales pitches, product development, and practice development initiatives. Technical and Functional Skills: Bachelors degree in Computer Science with 4 to 6 years of work experience. Must have experience in Advance Analytics, Data Science, regression, forecasting, analytics, SQL, R, Python, decision tree, random forest, SAS, clustering classification. Ability to engage clients to understand business requirements and convert the same into technical/modelling problems for solution development. Demonstrate strong interpersonal skills and a comfort interacting with clients from the C-suite to marketing managers to technical specialists. Demonstrated knowledge of analytical/statistical techniques and their applications; a working knowledge of/experience in R and Python is a plus. Demonstrated excellent communications skills, both written and spoken, as well as being able to explain complex technical concepts in plain English. Ability to present results of statistical models in business language. Domain understanding of at least one preferably two verticals amongst Retail, Cable, Technology (not mandate). Knowledge of data visualization tools (Tableau, QlikView, etc.) is a plus. Demonstrate strong analytical and storytelling skills and the ability to find relevant stories from piles of reports. Ability to manage specific tasks to completion with minimal direction. Ideal candidate has been in a consulting role previously. Hands-on expertise on the applied statistical techniques including multi-variate regression, logistic regression, market-mix models, clustering, classification, survival, churn models, speech analytics, image analytics, etc. Ability to collaborate with onsite colleagues in the US & UK. Expert in handling large data, cleansing & preparation for modelling. Very high attention to detail and quality.

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. Associate Process Manager Role and responsibilities: Understand business problem and requirements by building domain knowledge and translate to data science problem. Conceptualize and design cutting edge data science solution to solve the data science problem, apply design-thinking concepts. Identify the right algorithms, tech stack, sample outputs required to efficiently adder the end need. Prototype and experiment the solution to successfully demonstrate the value. Independently or with support from team, execute the conceptualized solution as per plan by following project management guidelines. Present the results to internal and client stakeholder in an easy to understand manner with great story telling, story boarding, insights and visualization. Help build overall data science capability for eClerx through support in pilots, pre sales pitches, product development, and practice development initiatives. Technical and Functional Skills: Bachelors degree in Computer Science with 4 to 6 years of work experience. Must have experience in Advance Analytics, Data Science, regression, forecasting, analytics, SQL, R, Python, decision tree, random forest, SAS, clustering classification. Ability to engage clients to understand business requirements and convert the same into technical/modelling problems for solution development. Demonstrate strong interpersonal skills and a comfort interacting with clients from the C-suite to marketing managers to technical specialists. Demonstrated knowledge of analytical/statistical techniques and their applications; a working knowledge of/experience in R and Python is a plus. Demonstrated excellent communications skills, both written and spoken, as well as being able to explain complex technical concepts in plain English. Ability to present results of statistical models in business language. Domain understanding of at least one preferably two verticals amongst Retail, Cable, Technology (not mandate). Knowledge of data visualization tools (Tableau, QlikView, etc.) is a plus. Demonstrate strong analytical and storytelling skills and the ability to find relevant stories from piles of reports. Ability to manage specific tasks to completion with minimal direction. Ideal candidate has been in a consulting role previously. Hands-on expertise on the applied statistical techniques including multi-variate regression, logistic regression, market-mix models, clustering, classification, survival, churn models, speech analytics, image analytics, etc. Ability to collaborate with onsite colleagues in the US & UK. Expert in handling large data, cleansing & preparation for modelling. Very high attention to detail and quality.

Roles and Responsibilities: Collaborate with stakeholders to gather digital analytics requirements and translate them into actionable tracking strategies. Implement and configure Adobe Analytics using Adobe Launch (Client-Side and Web SDK) and set up data layers. Set up and manage custom eVars, props, events , classifications, and Analysis Workspace dashboards . Perform end-to-end QA and validation of tags to ensure accurate tracking and data integrity. Build interactive and insightful dashboards in Adobe Analytics Workspace to visualize performance and user behavior. Translate data into clear, actionable insights and business recommendations that inform digital marketing, product strategy, and UX decisions. Define KPIs and measurement strategies aligned with business goals and customer journeys. Present data-driven stories to business and leadership teams, using visuals and narratives to influence strategic decisions. Troubleshoot and resolve issues with implementation, reporting, and data discrepancies. Implement and manage third-party pixels and marketing tags (e.g., Meta, Google, LinkedIn) through Adobe Launch. Monitor site performance and user interaction patterns to uncover optimization opportunities and A/B test hypotheses. Stay current with Adobe product releases, digital analytics trends, and industry best practices. Technical and Functional Skills: Bachelor's degree with 6-7 years of hands-on experience in Adobe Analytics and Adobe Launch implementation . Strong proficiency in Adobe Analytics Workspace report building, segmentation, calculated metrics, and data storytelling. Expertise in configuring Adobe Launch rules, events, extensions , and deploying custom tracking codes. Strong understanding of JavaScript, HTML, CSS , and web development debugging tools (e.g., Charles, Adobe Debugger). Experience with data layer architecture , solution design documents, and tag documentation. Deep understanding of digital KPIs, conversion funnels, attribution models , and behavior analysis. Proven ability to analyse large datasets , detect trends, uncover root causes, and propose actionable recommendations. Excellent communication and storytelling skills to convey insights and influence decision-makers. Experience with A/B testing tools (e.g., Adobe Target, Optimizely) and interpreting test results is a plus. Exposure to Customer Journey Analytics (CJA) , Real-Time CDP, or cross-channel segmentation is a bonus.

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. Associate Process Manager Role and responsibilities: Understand business problem and requirements by building domain knowledge and translate to data science problem. Conceptualize and design cutting edge data science solution to solve the data science problem, apply design-thinking concepts. Identify the right algorithms, tech stack, sample outputs required to efficiently adder the end need. Prototype and experiment the solution to successfully demonstrate the value. Independently or with support from team, execute the conceptualized solution as per plan by following project management guidelines. Present the results to internal and client stakeholder in an easy to understand manner with great story telling, story boarding, insights and visualization. Help build overall data science capability for eClerx through support in pilots, pre sales pitches, product development, and practice development initiatives. Technical and Functional Skills: Bachelors degree in Computer Science with 4 to 6 years of work experience. Must have experience in Advance Analytics, Data Science, regression, forecasting, analytics, SQL, R, Python, decision tree, random forest, SAS, clustering classification. Ability to engage clients to understand business requirements and convert the same into technical/modelling problems for solution development. Demonstrate strong interpersonal skills and a comfort interacting with clients from the C-suite to marketing managers to technical specialists. Demonstrated knowledge of analytical/statistical techniques and their applications; a working knowledge of/experience in R and Python is a plus. Demonstrated excellent communications skills, both written and spoken, as well as being able to explain complex technical concepts in plain English. Ability to present results of statistical models in business language. Domain understanding of at least one preferably two verticals amongst Retail, Cable, Technology (not mandate). Knowledge of data visualization tools (Tableau, QlikView, etc.) is a plus. Demonstrate strong analytical and storytelling skills and the ability to find relevant stories from piles of reports. Ability to manage specific tasks to completion with minimal direction. Ideal candidate has been in a consulting role previously. Hands-on expertise on the applied statistical techniques including multi-variate regression, logistic regression, market-mix models, clustering, classification, survival, churn models, speech analytics, image analytics, etc. Ability to collaborate with onsite colleagues in the US & UK. Expert in handling large data, cleansing & preparation for modelling. Very high attention to detail and quality.

Roles and Responsibilities: Collaborate with stakeholders to gather digital analytics requirements and translate them into actionable tracking strategies. Implement and configure Adobe Analytics using Adobe Launch (Client-Side and Web SDK) and set up data layers. Set up and manage custom eVars, props, events , classifications, and Analysis Workspace dashboards . Perform end-to-end QA and validation of tags to ensure accurate tracking and data integrity. Build interactive and insightful dashboards in Adobe Analytics Workspace to visualize performance and user behavior. Translate data into clear, actionable insights and business recommendations that inform digital marketing, product strategy, and UX decisions. Define KPIs and measurement strategies aligned with business goals and customer journeys. Present data-driven stories to business and leadership teams, using visuals and narratives to influence strategic decisions. Troubleshoot and resolve issues with implementation, reporting, and data discrepancies. Implement and manage third-party pixels and marketing tags (e.g., Meta, Google, LinkedIn) through Adobe Launch. Monitor site performance and user interaction patterns to uncover optimization opportunities and A/B test hypotheses. Stay current with Adobe product releases, digital analytics trends, and industry best practices. Technical and Functional Skills: Bachelor's degree with 6-7 years of hands-on experience in Adobe Analytics and Adobe Launch implementation . Strong proficiency in Adobe Analytics Workspace report building, segmentation, calculated metrics, and data storytelling. Expertise in configuring Adobe Launch rules, events, extensions , and deploying custom tracking codes. Strong understanding of JavaScript, HTML, CSS , and web development debugging tools (e.g., Charles, Adobe Debugger). Experience with data layer architecture , solution design documents, and tag documentation. Deep understanding of digital KPIs, conversion funnels, attribution models , and behavior analysis. Proven ability to analyse large datasets , detect trends, uncover root causes, and propose actionable recommendations. Excellent communication and storytelling skills to convey insights and influence decision-makers. Experience with A/B testing tools (e.g., Adobe Target, Optimizely) and interpreting test results is a plus. Exposure to Customer Journey Analytics (CJA) , Real-Time CDP, or cross-channel segmentation is a bonus.

Roles and Responsibilities: Collaborate with stakeholders to gather digital analytics requirements and translate them into actionable tracking strategies. Implement and configure Adobe Analytics using Adobe Launch (Client-Side and Web SDK) and set up data layers. Set up and manage custom eVars, props, events , classifications, and Analysis Workspace dashboards . Perform end-to-end QA and validation of tags to ensure accurate tracking and data integrity. Build interactive and insightful dashboards in Adobe Analytics Workspace to visualize performance and user behavior. Translate data into clear, actionable insights and business recommendations that inform digital marketing, product strategy, and UX decisions. Define KPIs and measurement strategies aligned with business goals and customer journeys. Present data-driven stories to business and leadership teams, using visuals and narratives to influence strategic decisions. Troubleshoot and resolve issues with implementation, reporting, and data discrepancies. Implement and manage third-party pixels and marketing tags (e.g., Meta, Google, LinkedIn) through Adobe Launch. Monitor site performance and user interaction patterns to uncover optimization opportunities and A/B test hypotheses. Stay current with Adobe product releases, digital analytics trends, and industry best practices. Technical and Functional Skills: Bachelor's degree with 6-7 years of hands-on experience in Adobe Analytics and Adobe Launch implementation . Strong proficiency in Adobe Analytics Workspace report building, segmentation, calculated metrics, and data storytelling. Expertise in configuring Adobe Launch rules, events, extensions , and deploying custom tracking codes. Strong understanding of JavaScript, HTML, CSS , and web development debugging tools (e.g., Charles, Adobe Debugger). Experience with data layer architecture , solution design documents, and tag documentation. Deep understanding of digital KPIs, conversion funnels, attribution models , and behavior analysis. Proven ability to analyse large datasets , detect trends, uncover root causes, and propose actionable recommendations. Excellent communication and storytelling skills to convey insights and influence decision-makers. Experience with A/B testing tools (e.g., Adobe Target, Optimizely) and interpreting test results is a plus. Exposure to Customer Journey Analytics (CJA) , Real-Time CDP, or cross-channel segmentation is a bonus.

Roles and Responsibilities: Collaborate with stakeholders to gather digital analytics requirements and translate them into actionable tracking strategies. Implement and configure Adobe Analytics using Adobe Launch (Client-Side and Web SDK) and set up data layers. Set up and manage custom eVars, props, events , classifications, and Analysis Workspace dashboards . Perform end-to-end QA and validation of tags to ensure accurate tracking and data integrity. Build interactive and insightful dashboards in Adobe Analytics Workspace to visualize performance and user behavior. Translate data into clear, actionable insights and business recommendations that inform digital marketing, product strategy, and UX decisions. Define KPIs and measurement strategies aligned with business goals and customer journeys. Present data-driven stories to business and leadership teams, using visuals and narratives to influence strategic decisions. Troubleshoot and resolve issues with implementation, reporting, and data discrepancies. Implement and manage third-party pixels and marketing tags (e.g., Meta, Google, LinkedIn) through Adobe Launch. Monitor site performance and user interaction patterns to uncover optimization opportunities and A/B test hypotheses. Stay current with Adobe product releases, digital analytics trends, and industry best practices. Technical and Functional Skills: Bachelor's degree with 6-7 years of hands-on experience in Adobe Analytics and Adobe Launch implementation . Strong proficiency in Adobe Analytics Workspace report building, segmentation, calculated metrics, and data storytelling. Expertise in configuring Adobe Launch rules, events, extensions , and deploying custom tracking codes. Strong understanding of JavaScript, HTML, CSS , and web development debugging tools (e.g., Charles, Adobe Debugger). Experience with data layer architecture , solution design documents, and tag documentation. Deep understanding of digital KPIs, conversion funnels, attribution models , and behavior analysis. Proven ability to analyse large datasets , detect trends, uncover root causes, and propose actionable recommendations. Excellent communication and storytelling skills to convey insights and influence decision-makers. Experience with A/B testing tools (e.g., Adobe Target, Optimizely) and interpreting test results is a plus. Exposure to Customer Journey Analytics (CJA) , Real-Time CDP, or cross-channel segmentation is a bonus.

The candidate must possess in-depth functional knowledge of the process area and apply it to operational scenarios to provide effective solutions. The candidate must be able to identify discrepancies and propose optimal solutions by using a logical, systematic, and sequential methodology. It is vital to be open-minded towards inputs and views from team members and to effectively lead, control, and motivate groups towards company objects. Additionally, the candidate must be self-directed, proactive, and seize every opportunity to meet internal and external customer needs and achieve customer satisfaction by effectively auditing processes, implementing best practices and process improvements, and utilizing the frameworks and tools available. Goals and thoughts must be clearly and concisely articulated and conveyed, verbally and in writing, to clients, colleagues, subordinates, and supervisors. Associate Process Manager Roles and responsibilities: Leadership and Mentorship Team LeadershipLead and mentor a team of data scientists and analysts, guiding them in best practices, advanced methodologies, and career development. Project ManagementOversee multiple analytics projects, ensuring they are completed on time, within scope, and deliver impactful results. Innovation and Continuous LearningStay at the forefront of industry trends, new technologies, and methodologies, fostering a culture of innovation within the team. Collaboration with Cross-Functional Teams Stakeholder EngagementWork closely with key account managers, data analysts, and other stakeholders to understand their needs and translate them into data-driven solutions. Communication of InsightsPresent complex analytical findings clearly and actionably to non-technical stakeholders, helping guide strategic business decisions. Advanced Data Analysis and Modeling Develop Predictive ModelsCreate and validate complex predictive models for risk assessment, portfolio optimization, fraud detection, and market forecasting. Quantitative ResearchConduct in-depth quantitative research to identify trends, patterns, and relationships within large financial datasets. Statistical Analysis:Apply advanced statistical techniques to assess investment performance, asset pricing, and financial risk. Business Impact and ROI Performance MetricsDefine and track key performance indicators (KPIs) to measure the effectiveness of analytics solutions and their impact on the firm's financial performance. Cost-Benefit AnalysisPerform cost-benefit analyses to prioritize analytics initiatives that offer the highest return on investment (ROI). Algorithmic Trading and Automation Algorithm DevelopmentDevelop and refine trading algorithms that automate decision-making processes, leveraging machine learning and AI techniques. Back testing and SimulationConduct rigorous back testing and simulations of trading strategies to evaluate their performance under different market conditions. Advanced Statistical TechniquesExpertise in statistical methods such as regression analysis, time-series forecasting, hypothesis testing, and statistics. Machine Learning and AIProficiency in machine learning algorithms and experience with AI techniques, particularly in the context of predictive modeling, anomaly detection, and natural language processing (NLP). Programming LanguagesStrong coding skills in languages like Python, commonly used for data analysis, modeling, and automation. Data Management:Experience with big data technologies, and relational databases to handle and manipulate large datasets. Data VisualizationProficiency in creating insightful visualizations that effectively communicate complex data findings to stakeholders. Cloud ComputingFamiliarity with cloud platforms like AWS, Azure, or Google Cloud for deploying scalable data solutions. Quantitative AnalysisDeep understanding of quantitative finance, including concepts like pricing models, portfolio theory, and risk metrics. Algorithmic TradingExperience in developing and back testing trading algorithms using quantitative models and data-driven strategies. Technical and Functional Skills: Bachelor's degree in a related field, such as computer science, data science, or statistics. Proven experience of 5 to 7 years in programming languages, machine learning, data visualization and statistical analysis.

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. Associate Process Manager Role and responsibilities: Understand business problem and requirements by building domain knowledge and translate to data science problem. Conceptualize and design cutting edge data science solution to solve the data science problem, apply design-thinking concepts. Identify the right algorithms, tech stack, sample outputs required to efficiently adder the end need. Prototype and experiment the solution to successfully demonstrate the value. Independently or with support from team, execute the conceptualized solution as per plan by following project management guidelines. Present the results to internal and client stakeholder in an easy to understand manner with great story telling, story boarding, insights and visualization. Help build overall data science capability for eClerx through support in pilots, pre sales pitches, product development, and practice development initiatives. Technical and Functional Skills: Bachelors degree in Computer Science with 4 to 6 years of work experience. Must have experience in Advance Analytics, Data Science, regression, forecasting, analytics, SQL, R, Python, decision tree, random forest, SAS, clustering classification. Ability to engage clients to understand business requirements and convert the same into technical/modelling problems for solution development. Demonstrate strong interpersonal skills and a comfort interacting with clients from the C-suite to marketing managers to technical specialists. Demonstrated knowledge of analytical/statistical techniques and their applications; a working knowledge of/experience in R and Python is a plus. Demonstrated excellent communications skills, both written and spoken, as well as being able to explain complex technical concepts in plain English. Ability to present results of statistical models in business language. Domain understanding of at least one preferably two verticals amongst Retail, Cable, Technology (not mandate). Knowledge of data visualization tools (Tableau, QlikView, etc.) is a plus. Demonstrate strong analytical and storytelling skills and the ability to find relevant stories from piles of reports. Ability to manage specific tasks to completion with minimal direction. Ideal candidate has been in a consulting role previously. Hands-on expertise on the applied statistical techniques including multi-variate regression, logistic regression, market-mix models, clustering, classification, survival, churn models, speech analytics, image analytics, etc. Ability to collaborate with onsite colleagues in the US & UK. Expert in handling large data, cleansing & preparation for modelling. Very high attention to detail and quality.

Roles and Responsibilities: Collaborate with stakeholders to gather digital analytics requirements and translate them into actionable tracking strategies. Implement and configure Adobe Analytics using Adobe Launch (Client-Side and Web SDK) and set up data layers. Set up and manage custom eVars, props, events , classifications, and Analysis Workspace dashboards . Perform end-to-end QA and validation of tags to ensure accurate tracking and data integrity. Build interactive and insightful dashboards in Adobe Analytics Workspace to visualize performance and user behavior. Translate data into clear, actionable insights and business recommendations that inform digital marketing, product strategy, and UX decisions. Define KPIs and measurement strategies aligned with business goals and customer journeys. Present data-driven stories to business and leadership teams, using visuals and narratives to influence strategic decisions. Troubleshoot and resolve issues with implementation, reporting, and data discrepancies. Implement and manage third-party pixels and marketing tags (e.g., Meta, Google, LinkedIn) through Adobe Launch. Monitor site performance and user interaction patterns to uncover optimization opportunities and A/B test hypotheses. Stay current with Adobe product releases, digital analytics trends, and industry best practices. Technical and Functional Skills: Bachelor's degree with 67 years of hands-on experience in Adobe Analytics and Adobe Launch implementation . Strong proficiency in Adobe Analytics Workspace report building, segmentation, calculated metrics, and data storytelling. Expertise in configuring Adobe Launch rules, events, extensions , and deploying custom tracking codes. Strong understanding of JavaScript, HTML, CSS , and web development debugging tools (e.g., Charles, Adobe Debugger). Experience with data layer architecture , solution design documents, and tag documentation. Deep understanding of digital KPIs, conversion funnels, attribution models , and behavior analysis. Proven ability to analyse large datasets , detect trends, uncover root causes, and propose actionable recommendations. Excellent communication and storytelling skills to convey insights and influence decision-makers. Experience with A/B testing tools (e.g., Adobe Target, Optimizely) and interpreting test results is a plus. Exposure to Customer Journey Analytics (CJA) , Real-Time CDP, or cross-channel segmentation is a bonus.

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. Associate Process Manager Role and responsibilities: Understand business problem and requirements by building domain knowledge and translate to data science problem. Conceptualize and design cutting edge data science solution to solve the data science problem, apply design-thinking concepts. Identify the right algorithms, tech stack, sample outputs required to efficiently adder the end need. Prototype and experiment the solution to successfully demonstrate the value. Independently or with support from team, execute the conceptualized solution as per plan by following project management guidelines. Present the results to internal and client stakeholder in an easy to understand manner with great story telling, story boarding, insights and visualization. Help build overall data science capability for eClerx through support in pilots, pre sales pitches, product development, and practice development initiatives. Technical and Functional Skills: Bachelors degree in Computer Science with 4 to 6 years of work experience. Must have experience in Advance Analytics, Data Science, regression, forecasting, analytics, SQL, R, Python, decision tree, random forest, SAS, clustering classification. Ability to engage clients to understand business requirements and convert the same into technical/modelling problems for solution development. Demonstrate strong interpersonal skills and a comfort interacting with clients from the C-suite to marketing managers to technical specialists. Demonstrated knowledge of analytical/statistical techniques and their applications; a working knowledge of/experience in R and Python is a plus. Demonstrated excellent communications skills, both written and spoken, as well as being able to explain complex technical concepts in plain English. Ability to present results of statistical models in business language. Domain understanding of at least one preferably two verticals amongst Retail, Cable, Technology (not mandate). Knowledge of data visualization tools (Tableau, QlikView, etc.) is a plus. Demonstrate strong analytical and storytelling skills and the ability to find relevant stories from piles of reports. Ability to manage specific tasks to completion with minimal direction. Ideal candidate has been in a consulting role previously. Hands-on expertise on the applied statistical techniques including multi-variate regression, logistic regression, market-mix models, clustering, classification, survival, churn models, speech analytics, image analytics, etc. Ability to collaborate with onsite colleagues in the US & UK. Expert in handling large data, cleansing & preparation for modelling. Very high attention to detail and quality.

About the job Social Media Social Media & Storytelling Intern Location: Remote Duration: 3 6 months Stipend: 10K 15K per month About Us At Recrivio, we believe stories shape brands. We re on a mission to build a community, not just an audience. If you re a natural storyteller with a flair for social media and a pulse on what makes content go viral, we want you on our team. Role Overview -Social Media We re looking for a creative and driven Social Media & Storytelling Intern to help craft compelling narratives, design thumb-stopping content, and elevate our presence across digital platforms. You ll work closely with our marketing and content teams to humanize our brand and engage our audience. What You ll Do Write and curate engaging content for Instagram, LinkedIn, X (Twitter), and more Turn real stories (customer journeys, team culture, behind-the-scenes) into short-form posts, reels, or carousels Assist in planning and scheduling weekly/monthly social media calendars Analyze social media performance and suggest optimization strategies Collaborate with designers, marketers, and leadership to bring stories to life Jump on trending formats and memes (where relevant) to keep content fresh and engaging What We re Looking For Excellent storytelling, copywriting, and editing skills Strong grasp of social media trends, formats, and tools (Canva, Buffer, etc.) A portfolio of past content (can be personal projects, blog, or student-led pages) Curious, self-driven, and able to take feedback constructively Bonus if you ve worked with reels, short videos, or newsletter content What You ll Get Mentorship from brand and content leaders A chance to own content Exposure to strategy, growth, and audience-building Letter of recommendation + LinkedIn endorsement Potential for PPO (pre-placement offer) based on performance Social Media About the job Social Media Social Media & Storytelling Intern Location: Remote Duration: 3 6 months Stipend: 10K 15K per month About Us At Recrivio, we believe stories shape brands. We re on a mission to build a community, not just an audience. If you re a natural storyteller with a flair for social media and a pulse on what makes content go viral, we want you on our team. Role Overview -Social Media We re looking for a creative and driven Social Media & Storytelling Intern to help craft compelling narratives, design thumb-stopping content, and elevate our presence across digital platforms. You ll work closely with our marketing and content teams to humanize our brand and engage our audience. What You ll Do Write and curate engaging content for Instagram, LinkedIn, X (Twitter), and more Turn real stories (customer journeys, team culture, behind-the-scenes) into short-form posts, reels, or carousels Assist in planning and scheduling weekly/monthly social media calendars Analyze social media performance and suggest optimization strategies Collaborate with designers, marketers, and leadership to bring stories to life Jump on trending formats and memes (where relevant) to keep content fresh and engaging What We re Looking For Excellent storytelling, copywriting, and editing skills Strong grasp of social media trends, formats, and tools (Canva, Buffer, etc.) A portfolio of past content (can be personal projects, blog, or student-led pages) Curious, self-driven, and able to take feedback constructively Bonus if you ve worked with reels, short videos, or newsletter content What You ll Get Mentorship from brand and content leaders A chance to own content Exposure to strategy, growth, and audience-building Letter of recommendation + LinkedIn endorsement Potential for PPO (pre-placement offer) based on performance Social Media About the job Social Media Social Media & Storytelling Intern Location: Remote Duration: 3 6 months Stipend: 10K 15K per month About Us At Recrivio, we believe stories shape brands. We re on a mission to build a community, not just an audience. If you re a natural storyteller with a flair for social media and a pulse on what makes content go viral, we want you on our team. Role Overview -Social Media We re looking for a creative and driven Social Media & Storytelling Intern to help craft compelling narratives, design thumb-stopping content, and elevate our presence across digital platforms. You ll work closely with our marketing and content teams to humanize our brand and engage our audience. What You ll Do Write and curate engaging content for Instagram, LinkedIn, X (Twitter), and more Turn real stories (customer journeys, team culture, behind-the-scenes) into short-form posts, reels, or carousels Assist in planning and scheduling weekly/monthly social media calendars Analyze social media performance and suggest optimization strategies Collaborate with designers, marketers, and leadership to bring stories to life Jump on trending formats and memes (where relevant) to keep content fresh and engaging What We re Looking For Excellent storytelling, copywriting, and editing skills Strong grasp of social media trends, formats, and tools (Canva, Buffer, etc.) A portfolio of past content (can be personal projects, blog, or student-led pages) Curious, self-driven, and able to take feedback constructively Bonus if you ve worked with reels, short videos, or newsletter content What You ll Get Mentorship from brand and content leaders A chance to own content Exposure to strategy, growth, and audience-building Letter of recommendation + LinkedIn endorsement Potential for PPO (pre-placement offer) based on performance Social Media About the job Social Media Social Media & Storytelling Intern Location: Remote Duration: 3 6 months Stipend: 10K 15K per month About Us At Recrivio, we believe stories shape brands. We re on a mission to build a community, not just an audience. If you re a natural storyteller with a flair for social media and a pulse on what makes content go viral, we want you on our team. Role Overview -Social Media We re looking for a creative and driven Social Media & Storytelling Intern to help craft compelling narratives, design thumb-stopping content, and elevate our presence across digital platforms. You ll work closely with our marketing and content teams to humanize our brand and engage our audience. What You ll Do Write and curate engaging content for Instagram, LinkedIn, X (Twitter), and more Turn real stories (customer journeys, team culture, behind-the-scenes) into short-form posts, reels, or carousels Assist in planning and scheduling weekly/monthly social media calendars Analyze social media performance and suggest optimization strategies Collaborate with designers, marketers, and leadership to bring stories to life Jump on trending formats and memes (where relevant) to keep content fresh and engaging What We re Looking For Excellent storytelling, copywriting, and editing skills Strong grasp of social media trends, formats, and tools (Canva, Buffer, etc.) A portfolio of past content (can be personal projects, blog, or student-led pages) Curious, self-driven, and able to take feedback constructively Bonus if you ve worked with reels, short videos, or newsletter content What You ll Get Mentorship from brand and content leaders A chance to own content Exposure to strategy, growth, and audience-building Letter of recommendation + LinkedIn endorsement Potential for PPO (pre-placement offer) based on performance Social Media About the job Social Media Social Media & Storytelling Intern Location: Remote Duration: 3 6 months Stipend: 10K 15K per month About Us At Recrivio, we believe stories shape brands. We re on a mission to build a community, not just an audience. If you re a natural storyteller with a flair for social media and a pulse on what makes content go viral, we want you on our team. Role Overview -Social Media We re looking for a creative and driven Social Media & Storytelling Intern to help craft compelling narratives, design thumb-stopping content, and elevate our presence across digital platforms. You ll work closely with our marketing and content teams to humanize our brand and engage our audience. What You ll Do Write and curate engaging content for Instagram, LinkedIn, X (Twitter), and more Turn real stories (customer journeys, team culture, behind-the-scenes) into short-form posts, reels, or carousels Assist in planning and scheduling weekly/monthly social media calendars Analyze social media performance and suggest optimization strategies Collaborate with designers, marketers, and leadership to bring stories to life Jump on trending formats and memes (where relevant) to keep content fresh and engaging What We re Looking For Excellent storytelling, copywriting, and editing skills Strong grasp of social media trends, formats, and tools (Canva, Buffer, etc.) A portfolio of past content (can be personal projects, blog, or student-led pages) Curious, self-driven, and able to take feedback constructively Bonus if you ve worked with reels, short videos, or newsletter content What You ll Get Mentorship from brand and content leaders A chance to own content Exposure to strategy, growth, and audience-building Letter of recommendation + LinkedIn endorsement Potential for PPO (pre-placement offer) based on performance Social Media About the job Social Media Social Media & Storytelling Intern Location: Remote Duration: 3 6 months Stipend: 10K 15K per month About Us At Recrivio, we believe stories shape brands. We re on a mission to build a community, not just an audience. If you re a natural storyteller with a flair for social media and a pulse on what makes content go viral, we want you on our team. Role Overview -Social Media We re looking for a creative and driven Social Media & Storytelling Intern to help craft compelling narratives, design thumb-stopping content, and elevate our presence across digital platforms. You ll work closely with our marketing and content teams to humanize our brand and engage our audience. What You ll Do Write and curate engaging content for Instagram, LinkedIn, X (Twitter), and more Turn real stories (customer journeys, team culture, behind-the-scenes) into short-form posts, reels, or carousels Assist in planning and scheduling weekly/monthly social media calendars Analyze social media performance and suggest optimization strategies Collaborate with designers, marketers, and leadership to bring stories to life Jump on trending formats and memes (where relevant) to keep content fresh and engaging What We re Looking For Excellent storytelling, copywriting, and editing skills Strong grasp of social media trends, formats, and tools (Canva, Buffer, etc.) A portfolio of past content (can be personal projects, blog, or student-led pages) Curious, self-driven, and able to take feedback constructively Bonus if you ve worked with reels, short videos, or newsletter content What You ll Get Mentorship from brand and content leaders A chance to own content Exposure to strategy, growth, and audience-building Letter of recommendation + LinkedIn endorsement Potential for PPO (pre-placement offer) based on performance Social Media About the job Social Media Social Media & Storytelling Intern Location: Remote Duration: 3 6 months Stipend: 10K 15K per month About Us At Recrivio, we believe stories shape brands. We re on a mission to build a community, not just an audience. If you re a natural storyteller with a flair for social media and a pulse on what makes content go viral, we want you on our team. Role Overview -Social Media We re looking for a creative and driven Social Media & Storytelling Intern to help craft compelling narratives, design thumb-stopping content, and elevate our presence across digital platforms. You ll work closely with our marketing and content teams to humanize our brand and engage our audience. What You ll Do Write and curate engaging content for Instagram, LinkedIn, X (Twitter), and more Turn real stories (customer journeys, team culture, behind-the-scenes) into short-form posts, reels, or carousels Assist in planning and scheduling weekly/monthly social media calendars Analyze social media performance and suggest optimization strategies Collaborate with designers, marketers, and leadership to bring stories to life Jump on trending formats and memes (where relevant) to keep content fresh and engaging What We re Looking For Excellent storytelling, copywriting, and editing skills Strong grasp of social media trends, formats, and tools (Canva, Buffer, etc.) A portfolio of past content (can be personal projects, blog, or student-led pages) Curious, self-driven, and able to take feedback constructively Bonus if you ve worked with reels, short videos, or newsletter content What You ll Get Mentorship from brand and content leaders A chance to own content Exposure to strategy, growth, and audience-building Letter of recommendation + LinkedIn endorsement Potential for PPO (pre-placement offer) based on performance Social Media About the job Social Media Social Media & Storytelling Intern Location: Remote Duration: 3 6 months Stipend: 10K 15K per month About Us At Recrivio, we believe stories shape brands. We re on a mission to build a community, not just an audience. If you re a natural storyteller with a flair for social media and a pulse on what makes content go viral, we want you on our team. Role Overview -Social Media We re looking for a creative and driven Social Media & Storytelling Intern to help craft compelling narratives, design thumb-stopping content, and elevate our presence across digital platforms. You ll work closely with our marketing and content teams to humanize our brand and engage our audience. What You ll Do Write and curate engaging content for Instagram, LinkedIn, X (Twitter), and more Turn real stories (customer journeys, team culture, behind-the-scenes) into short-form posts, reels, or carousels Assist in planning and scheduling weekly/monthly social media calendars Analyze social media performance and suggest optimization strategies Collaborate with designers, marketers, and leadership to bring stories to life Jump on trending formats and memes (where relevant) to keep content fresh and engaging What We re Looking For Excellent storytelling, copywriting, and editing skills Strong grasp of social media trends, formats, and tools (Canva, Buffer, etc.) A portfolio of past content (can be personal projects, blog, or student-led pages) Curious, self-driven, and able to take feedback constructively Bonus if you ve worked with reels, short videos, or newsletter content What You ll Get Mentorship from brand and content leaders A chance to own content Exposure to strategy, growth, and audience-building Letter of recommendation + LinkedIn endorsement Potential for PPO (pre-placement offer) based on performance Social Media About the job Social Media Social Media & Storytelling Intern Location: Remote Duration: 3 6 months Stipend: 10K 15K per month About Us At Recrivio, we believe stories shape brands. We re on a mission to build a community, not just an audience. If you re a natural storyteller with a flair for social media and a pulse on what makes content go viral, we want you on our team. Role Overview -Social Media We re looking for a creative and driven Social Media & Storytelling Intern to help craft compelling narratives, design thumb-stopping content, and elevate our presence across digital platforms. You ll work closely with our marketing and content teams to humanize our brand and engage our audience. What You ll Do Write and curate engaging content for Instagram, LinkedIn, X (Twitter), and more Turn real stories (customer journeys, team culture, behind-the-scenes) into short-form posts, reels, or carousels Assist in planning and scheduling weekly/monthly social media calendars Analyze social media performance and suggest optimization strategies Collaborate with designers, marketers, and leadership to bring stories to life Jump on trending formats and memes (where relevant) to keep content fresh and engaging What We re Looking For Excellent storytelling, copywriting, and editing skills Strong grasp of social media trends, formats, and tools (Canva, Buffer, etc.) A portfolio of past content (can be personal projects, blog, or student-led pages) Curious, self-driven, and able to take feedback constructively Bonus if you ve worked with reels, short videos, or newsletter content What You ll Get Mentorship from brand and content leaders A chance to own content Exposure to strategy, growth, and audience-building Letter of recommendation + LinkedIn endorsement Potential for PPO (pre-placement offer) based on performance Social Media

About The Role PRIMARY SET Adobe launch/AEP WEB SDK, Adobe Analytics & Project Management (Must Have) Experience Level 7 -10 + Yrs. Roles and Responsibilities: Collaborate with stakeholders to gather digital analytics requirements and translate them into actionable tracking strategies. Implement and configure Adobe Analytics using Adobe Launch (Client-Side and Web SDK) and set up data layers. Set up and manage custom eVars, props, events , classifications, and Analysis Workspace dashboards . Perform end-to-end QA and validation of tags to ensure accurate tracking and data integrity. Build interactive and insightful dashboards in Adobe Analytics Workspace to visualize performance and user behavior. Translate data into clear, actionable insights and business recommendations that inform digital marketing, product strategy, and UX decisions. Define KPIs and measurement strategies aligned with business goals and customer journeys. Present data-driven stories to business and leadership teams, using visuals and narratives to influence strategic decisions. Troubleshoot and resolve issues with implementation, reporting, and data discrepancies. Implement and manage third-party pixels and marketing tags (e.g., Meta, Google, LinkedIn) through Adobe Launch. Monitor site performance and user interaction patterns to uncover optimization opportunities and A/B test hypotheses. Stay current with Adobe product releases, digital analytics trends, and industry best practices. Technical and Functional Skills: Bachelor's degree with 6-7 years of hands-on experience in Adobe Analytics and Adobe Launch implementation . Strong proficiency in Adobe Analytics Workspace report building, segmentation, calculated metrics, and data storytelling. Expertise in configuring Adobe Launch rules, events, extensions , and deploying custom tracking codes. Strong understanding of JavaScript, HTML, CSS , and web development debugging tools (e.g., Charles, Adobe Debugger). Experience with data layer architecture , solution design documents, and tag documentation. Deep understanding of digital KPIs, conversion funnels, attribution models , and behavior analysis. Proven ability to analyse large datasets , detect trends, uncover root causes, and propose actionable recommendations. Excellent communication and storytelling skills to convey insights and influence decision-makers. Experience with A/B testing tools (e.g., Adobe Target, Optimizely) and interpreting test results is a plus. Exposure to Customer Journey Analytics (CJA) , Real-Time CDP, or cross-channel segmentation is a bonus.

About The Role PRIMARY SET Adobe launch/AEP WEB SDK, Adobe Analytics & Project Management (Must Have) Experience Level 7 -10 + Yrs. Roles and Responsibilities: Collaborate with stakeholders to gather digital analytics requirements and translate them into actionable tracking strategies. Implement and configure Adobe Analytics using Adobe Launch (Client-Side and Web SDK) and set up data layers. Set up and manage custom eVars, props, events , classifications, and Analysis Workspace dashboards . Perform end-to-end QA and validation of tags to ensure accurate tracking and data integrity. Build interactive and insightful dashboards in Adobe Analytics Workspace to visualize performance and user behavior. Translate data into clear, actionable insights and business recommendations that inform digital marketing, product strategy, and UX decisions. Define KPIs and measurement strategies aligned with business goals and customer journeys. Present data-driven stories to business and leadership teams, using visuals and narratives to influence strategic decisions. Troubleshoot and resolve issues with implementation, reporting, and data discrepancies. Implement and manage third-party pixels and marketing tags (e.g., Meta, Google, LinkedIn) through Adobe Launch. Monitor site performance and user interaction patterns to uncover optimization opportunities and A/B test hypotheses. Stay current with Adobe product releases, digital analytics trends, and industry best practices. Technical and Functional Skills: Bachelor's degree with 6-7 years of hands-on experience in Adobe Analytics and Adobe Launch implementation . Strong proficiency in Adobe Analytics Workspace report building, segmentation, calculated metrics, and data storytelling. Expertise in configuring Adobe Launch rules, events, extensions , and deploying custom tracking codes. Strong understanding of JavaScript, HTML, CSS , and web development debugging tools (e.g., Charles, Adobe Debugger). Experience with data layer architecture , solution design documents, and tag documentation. Deep understanding of digital KPIs, conversion funnels, attribution models , and behavior analysis. Proven ability to analyse large datasets , detect trends, uncover root causes, and propose actionable recommendations. Excellent communication and storytelling skills to convey insights and influence decision-makers. Experience with A/B testing tools (e.g., Adobe Target, Optimizely) and interpreting test results is a plus. Exposure to Customer Journey Analytics (CJA) , Real-Time CDP, or cross-channel segmentation is a bonus.

About The Role PRIMARY SET Adobe launch/AEP WEB SDK, Adobe Analytics & Project Management (Must Have) Experience Level 7- 10 + Yrs. Roles and Responsibilities: Collaborate with stakeholders to gather digital analytics requirements and translate them into actionable tracking strategies. Implement and configure Adobe Analytics using Adobe Launch (Client-Side and Web SDK) and set up data layers. Set up and manage custom eVars, props, events , classifications, and Analysis Workspace dashboards . Perform end-to-end QA and validation of tags to ensure accurate tracking and data integrity. Build interactive and insightful dashboards in Adobe Analytics Workspace to visualize performance and user behavior. Translate data into clear, actionable insights and business recommendations that inform digital marketing, product strategy, and UX decisions. Define KPIs and measurement strategies aligned with business goals and customer journeys. Present data-driven stories to business and leadership teams, using visuals and narratives to influence strategic decisions. Troubleshoot and resolve issues with implementation, reporting, and data discrepancies. Implement and manage third-party pixels and marketing tags (e.g., Meta, Google, LinkedIn) through Adobe Launch. Monitor site performance and user interaction patterns to uncover optimization opportunities and A/B test hypotheses. Stay current with Adobe product releases, digital analytics trends, and industry best practices. Technical and Functional Skills: Bachelor's degree with 6-7 years of hands-on experience in Adobe Analytics and Adobe Launch implementation . Strong proficiency in Adobe Analytics Workspace report building, segmentation, calculated metrics, and data storytelling. Expertise in configuring Adobe Launch rules, events, extensions , and deploying custom tracking codes. Strong understanding of JavaScript, HTML, CSS , and web development debugging tools (e.g., Charles, Adobe Debugger). Experience with data layer architecture , solution design documents, and tag documentation. Deep understanding of digital KPIs, conversion funnels, attribution models , and behavior analysis. Proven ability to analyse large datasets , detect trends, uncover root causes, and propose actionable recommendations. Excellent communication and storytelling skills to convey insights and influence decision-makers. Experience with A/B testing tools (e.g., Adobe Target, Optimizely) and interpreting test results is a plus. Exposure to Customer Journey Analytics (CJA) , Real-Time CDP, or cross-channel segmentation is a bonus.

About The Role PRIMARY SET Adobe launch/AEP WEB SDK, Adobe Analytics & Project Management (Must Have) Experience Level 7 -10 + Yrs. Roles and Responsibilities: Collaborate with stakeholders to gather digital analytics requirements and translate them into actionable tracking strategies. Implement and configure Adobe Analytics using Adobe Launch (Client-Side and Web SDK) and set up data layers. Set up and manage custom eVars, props, events , classifications, and Analysis Workspace dashboards . Perform end-to-end QA and validation of tags to ensure accurate tracking and data integrity. Build interactive and insightful dashboards in Adobe Analytics Workspace to visualize performance and user behavior. Translate data into clear, actionable insights and business recommendations that inform digital marketing, product strategy, and UX decisions. Define KPIs and measurement strategies aligned with business goals and customer journeys. Present data-driven stories to business and leadership teams, using visuals and narratives to influence strategic decisions. Troubleshoot and resolve issues with implementation, reporting, and data discrepancies. Implement and manage third-party pixels and marketing tags (e.g., Meta, Google, LinkedIn) through Adobe Launch. Monitor site performance and user interaction patterns to uncover optimization opportunities and A/B test hypotheses. Stay current with Adobe product releases, digital analytics trends, and industry best practices. Technical and Functional Skills: Bachelor's degree with 6-7 years of hands-on experience in Adobe Analytics and Adobe Launch implementation . Strong proficiency in Adobe Analytics Workspace report building, segmentation, calculated metrics, and data storytelling. Expertise in configuring Adobe Launch rules, events, extensions , and deploying custom tracking codes. Strong understanding of JavaScript, HTML, CSS , and web development debugging tools (e.g., Charles, Adobe Debugger). Experience with data layer architecture , solution design documents, and tag documentation. Deep understanding of digital KPIs, conversion funnels, attribution models , and behavior analysis. Proven ability to analyse large datasets , detect trends, uncover root causes, and propose actionable recommendations. Excellent communication and storytelling skills to convey insights and influence decision-makers. Experience with A/B testing tools (e.g., Adobe Target, Optimizely) and interpreting test results is a plus. Exposure to Customer Journey Analytics (CJA) , Real-Time CDP, or cross-channel segmentation is a bonus.

About The Role PRIMARY SET Adobe launch/AEP WEB SDK, Adobe Analytics & Project Management (Must Have) Experience Level 7 -10 + Yrs. Roles and Responsibilities: Collaborate with stakeholders to gather digital analytics requirements and translate them into actionable tracking strategies. Implement and configure Adobe Analytics using Adobe Launch (Client-Side and Web SDK) and set up data layers. Set up and manage custom eVars, props, events , classifications, and Analysis Workspace dashboards . Perform end-to-end QA and validation of tags to ensure accurate tracking and data integrity. Build interactive and insightful dashboards in Adobe Analytics Workspace to visualize performance and user behavior. Translate data into clear, actionable insights and business recommendations that inform digital marketing, product strategy, and UX decisions. Define KPIs and measurement strategies aligned with business goals and customer journeys. Present data-driven stories to business and leadership teams, using visuals and narratives to influence strategic decisions. Troubleshoot and resolve issues with implementation, reporting, and data discrepancies. Implement and manage third-party pixels and marketing tags (e.g., Meta, Google, LinkedIn) through Adobe Launch. Monitor site performance and user interaction patterns to uncover optimization opportunities and A/B test hypotheses. Stay current with Adobe product releases, digital analytics trends, and industry best practices. Technical and Functional Skills: Bachelor's degree with 6-7 years of hands-on experience in Adobe Analytics and Adobe Launch implementation . Strong proficiency in Adobe Analytics Workspace report building, segmentation, calculated metrics, and data storytelling. Expertise in configuring Adobe Launch rules, events, extensions , and deploying custom tracking codes. Strong understanding of JavaScript, HTML, CSS , and web development debugging tools (e.g., Charles, Adobe Debugger). Experience with data layer architecture , solution design documents, and tag documentation. Deep understanding of digital KPIs, conversion funnels, attribution models , and behavior analysis. Proven ability to analyse large datasets , detect trends, uncover root causes, and propose actionable recommendations. Excellent communication and storytelling skills to convey insights and influence decision-makers. Experience with A/B testing tools (e.g., Adobe Target, Optimizely) and interpreting test results is a plus. Exposure to Customer Journey Analytics (CJA) , Real-Time CDP, or cross-channel segmentation is a bonus.

About The Role PRIMARY SET Adobe launch/AEP WEB SDK, Adobe Analytics & Project Management (Must Have) Experience Level 7- 10 + Yrs. Roles and Responsibilities: Collaborate with stakeholders to gather digital analytics requirements and translate them into actionable tracking strategies. Implement and configure Adobe Analytics using Adobe Launch (Client-Side and Web SDK) and set up data layers. Set up and manage custom eVars, props, events , classifications, and Analysis Workspace dashboards . Perform end-to-end QA and validation of tags to ensure accurate tracking and data integrity. Build interactive and insightful dashboards in Adobe Analytics Workspace to visualize performance and user behavior. Translate data into clear, actionable insights and business recommendations that inform digital marketing, product strategy, and UX decisions. Define KPIs and measurement strategies aligned with business goals and customer journeys. Present data-driven stories to business and leadership teams, using visuals and narratives to influence strategic decisions. Troubleshoot and resolve issues with implementation, reporting, and data discrepancies. Implement and manage third-party pixels and marketing tags (e.g., Meta, Google, LinkedIn) through Adobe Launch. Monitor site performance and user interaction patterns to uncover optimization opportunities and A/B test hypotheses. Stay current with Adobe product releases, digital analytics trends, and industry best practices. Technical and Functional Skills: Bachelor's degree with 6-7 years of hands-on experience in Adobe Analytics and Adobe Launch implementation . Strong proficiency in Adobe Analytics Workspace report building, segmentation, calculated metrics, and data storytelling. Expertise in configuring Adobe Launch rules, events, extensions , and deploying custom tracking codes. Strong understanding of JavaScript, HTML, CSS , and web development debugging tools (e.g., Charles, Adobe Debugger). Experience with data layer architecture , solution design documents, and tag documentation. Deep understanding of digital KPIs, conversion funnels, attribution models , and behavior analysis. Proven ability to analyse large datasets , detect trends, uncover root causes, and propose actionable recommendations. Excellent communication and storytelling skills to convey insights and influence decision-makers. Experience with A/B testing tools (e.g., Adobe Target, Optimizely) and interpreting test results is a plus. Exposure to Customer Journey Analytics (CJA) , Real-Time CDP, or cross-channel segmentation is a bonus.

About The Role PRIMARY SET Adobe launch/AEP WEB SDK, Adobe Analytics & Project Management (Must Have) Experience Level 7- 10 + Yrs. Roles and Responsibilities: Collaborate with stakeholders to gather digital analytics requirements and translate them into actionable tracking strategies. Implement and configure Adobe Analytics using Adobe Launch (Client-Side and Web SDK) and set up data layers. Set up and manage custom eVars, props, events , classifications, and Analysis Workspace dashboards . Perform end-to-end QA and validation of tags to ensure accurate tracking and data integrity. Build interactive and insightful dashboards in Adobe Analytics Workspace to visualize performance and user behavior. Translate data into clear, actionable insights and business recommendations that inform digital marketing, product strategy, and UX decisions. Define KPIs and measurement strategies aligned with business goals and customer journeys. Present data-driven stories to business and leadership teams, using visuals and narratives to influence strategic decisions. Troubleshoot and resolve issues with implementation, reporting, and data discrepancies. Implement and manage third-party pixels and marketing tags (e.g., Meta, Google, LinkedIn) through Adobe Launch. Monitor site performance and user interaction patterns to uncover optimization opportunities and A/B test hypotheses. Stay current with Adobe product releases, digital analytics trends, and industry best practices. Technical and Functional Skills: Bachelor's degree with 6-7 years of hands-on experience in Adobe Analytics and Adobe Launch implementation . Strong proficiency in Adobe Analytics Workspace report building, segmentation, calculated metrics, and data storytelling. Expertise in configuring Adobe Launch rules, events, extensions , and deploying custom tracking codes. Strong understanding of JavaScript, HTML, CSS , and web development debugging tools (e.g., Charles, Adobe Debugger). Experience with data layer architecture , solution design documents, and tag documentation. Deep understanding of digital KPIs, conversion funnels, attribution models , and behavior analysis. Proven ability to analyse large datasets , detect trends, uncover root causes, and propose actionable recommendations. Excellent communication and storytelling skills to convey insights and influence decision-makers. Experience with A/B testing tools (e.g., Adobe Target, Optimizely) and interpreting test results is a plus. Exposure to Customer Journey Analytics (CJA) , Real-Time CDP, or cross-channel segmentation is a bonus.

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. Associate Process Manager Role and responsibilities: Understand business problem and requirements by building domain knowledge and translate to data science problem. Conceptualize and design cutting edge data science solution to solve the data science problem, apply design-thinking concepts. Identify the right algorithms, tech stack, sample outputs required to efficiently adder the end need. Prototype and experiment the solution to successfully demonstrate the value. Independently or with support from team, execute the conceptualized solution as per plan by following project management guidelines. Present the results to internal and client stakeholder in an easy to understand manner with great story telling, story boarding, insights and visualization. Help build overall data science capability for eClerx through support in pilots, pre sales pitches, product development, and practice development initiatives. Technical and Functional Skills: Bachelors degree in Computer Science with 4 to 6 years of work experience. Must have experience in Advance Analytics, Data Science, regression, forecasting, analytics, SQL, R, Python, decision tree, random forest, SAS, clustering classification. Ability to engage clients to understand business requirements and convert the same into technical/modelling problems for solution development. Demonstrate strong interpersonal skills and a comfort interacting with clients from the C-suite to marketing managers to technical specialists. Demonstrated knowledge of analytical/statistical techniques and their applications; a working knowledge of/experience in R and Python is a plus. Demonstrated excellent communications skills, both written and spoken, as well as being able to explain complex technical concepts in plain English. Ability to present results of statistical models in business language. Domain understanding of at least one preferably two verticals amongst Retail, Cable, Technology (not mandate). Knowledge of data visualization tools (Tableau, QlikView, etc.) is a plus. Demonstrate strong analytical and storytelling skills and the ability to find relevant stories from piles of reports. Ability to manage specific tasks to completion with minimal direction. Ideal candidate has been in a consulting role previously. Hands-on expertise on the applied statistical techniques including multi-variate regression, logistic regression, market-mix models, clustering, classification, survival, churn models, speech analytics, image analytics, etc. Ability to collaborate with onsite colleagues in the US & UK. Expert in handling large data, cleansing & preparation for modelling. Very high attention to detail and quality.