535 Story Writing Jobs - Page 6

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.

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.

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.

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.

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. 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.

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.

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.

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.

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.

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.

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.

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.

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.