3462 Process Management Jobs - Page 28

We are looking for a skilled Associate Process Manager to join our team at eClerx Services Ltd. Roles and Responsibility Manage and implement process improvements to increase efficiency and productivity. Collaborate with cross-functional teams to identify and prioritize project requirements. Develop and maintain process documentation and standard operating procedures. Analyze data and metrics to measure process performance and make informed decisions. Identify and mitigate risks associated with process changes or improvements. Provide training and support to team members on new processes and procedures. Job Requirements Strong understanding of IT Services & Consulting industry trends and best practices. Excellent communication, leadership, and problem-solving skills. Ability to work in a fast-paced environment and adapt to changing priorities. Strong analytical and decision-making skills with attention to detail. Experience with process management tools and technologies. Ability to collaborate effectively with cross-functional teams.

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.

We are looking for a skilled Associate Process Manager to join our team at eClerx Services Ltd. The ideal candidate will have a strong background in IT Services & Consulting and excellent leadership skills, with 6-10 years of experience. Roles and Responsibility Manage and oversee the daily operations of the process team to ensure efficiency and productivity. Develop and implement process improvements to increase quality and reduce costs. Collaborate with cross-functional teams to identify and prioritize project requirements. Analyze data and metrics to inform business decisions and drive process excellence. Train and guide team members on new processes and procedures. Monitor and control process performance to meet customer expectations. Job Requirements Strong understanding of IT Services & Consulting industry trends and best practices. Excellent communication, interpersonal, and problem-solving skills. Ability to work in a fast-paced environment and adapt to changing priorities. Strong analytical and decision-making skills with attention to detail. Experience with process management tools and technologies. Ability to lead and motivate a team to achieve high performance goals.

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 The candidate must possess in-depth functional knowledge of the process area and apply it to operational scenarios to provide effective solutions. He/she must be able to identify discrepancies and propose optimal solutions by using a logical, systematic, and sequential methodology. It is vital to be open-minded towards inputs and views from team members and to effectively lead, control, and motivate groups towards company objects. Additionally, he/she must be self-directed, proactive, and seize every opportunity to meet internal and external customer needs and achieve customer satisfaction by effectively auditing processes, implementing best practices and process improvements, and utilizing the frameworks and tools available. Goals and thoughts must be clearly and concisely articulated and conveyed, verbally and in writing, to clients, colleagues, subordinates, and supervisors. Associate Process Manager Role and responsibilities: Work with the entire creative team to establish a unified brand understanding and voice of the company, to elevate our innovation Will be a Subject Matter expert for the Creative team. The role will include supervising and leading the graphic designing team Develop creative briefs based on ideas established in brainstorming sessions with direction, schedules, and expected deliverables for the creative team. Participate in designing/redesigning computer graphics, web page graphics, logos, illustrations, advertisements, web-page mockups, infographic, brochures, and many other forms of visual communication including design conceptualization Obtain required approvals by presenting final layouts, storyboards, and illustrations. Present or oversee the presentation of final concepts and coordinate production and dissemination for clients and stakeholders. Troubleshooting design, staff, or process problems as they arise. Look for the latest industry best practices to improve design processes. Analyze and plan the framework of design according to the laid out concept and established specifications of the project Staying abreast of developments in web applications and programming languages Technical and Functional Skills: Bachelor's degree in computer science, business, or a related field 4+ years of experience in experience in Digital Creative Production (Ad Campaigns). The candidate should be an expert with a solid knowledge of image editing and video editing and Vfx software like Adobe Creative Suite especially on Adobe Photoshop, Illustrator, Premiere Pro, After effects, and InDesign Should be able to understand what the metric (impressions, clicks, and conversions) means and how to apply it to make informed decisions to produce incredibly engaging display ads for Social media (Facebook, Instagram, Twitter, Google, etc.) Hands-on experience in designing Marketing Campaigns for Social media [Facebook, Insta, Linkedin], static/animated banners, emailers, landing pages, microsites, and video assets for end-to-end digital campaigns for B2B clients preferably in food, travel, and media brands Strong Interpersonal, time and project management, presentation, leadership, and communication skills. Client interfacing ability with confidence Ability to use a strong analytical and artistic approach to solve complex creative issues Ability to handle multiple projects and prioritize different tasks

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.

Shift Timings: APAC (6 AM to 3 PM IST) EMEA (1 PM to 10 PM IST) NAM (6:30 PM to 3:30 PM IST) Minimum Academic Qualifications Graduation (B. ComBBM) Post Graduation (M.Com/MBA/PGDM) Experience Span: 2 to 3 years of experience in handling a team of a minimum of 5-6 members with experience in Confirmations, Reconciliation and an overall experience of 3 to 5 years Process/Activities with Experience: Should have understanding of Confirmations activities likeIndexing, Affirmations, Drafting, Incoming Review, Matching and Chasing Should be aware of CFTC, EMIR guidelines Should be aware of the upstream and downstream activities and its implications Should be aware of electronic confirmation platforms like Markitwire, DTCC Should have basic product knowledge for Fixed Income, CDS, IRS, Equity Swaps, Equity Options, FX Forward, FX Options, Commodities Should able to communicate effectively with global counterparties and trade support groups to explain, resolve discrepancies & breaks Ability to work under pressure to manage multiple deadlines & cut-offs throughout the day Should have hands on experience on Excel (Basic as well as Advance) Willingness to continuously learn, upgrade skills and stay relevant to business demands Should be able to work with teams across time-zones and cultures Should be organized, detail oriented, flexible, self-starter & highly motivated Should be able to act fast and decisively when dealing with critical situations ability to read situations and act in minutes Should be good with numbers and ability to derive information from data Should be excellent multi-tasking, creative problem solving and a good team player Financial Products Knowhow: Fixed Income (Interest Rate Swap & Credit Default Swaps), Equity Swaps, Equity Options, FX Forward, FX Option, NDF, Accumulators, etc. Tools/industry utilities Preferred hands-on & understanding of Confirmation workflows, DTCC, Markitwire, etc. Reporting/Client Management: We follow a practice of managing reports & matrices within deadlines and with 100% accuracy. Understanding the requirements, data to be used & distribution list on the reports. Reporting the BAU & KRIs to senior management & client. We give utmost priority to our clients and their requirements, adhere to the requirements and follow a strict procedure of reporting Other : Knowledge of/prior experience with offshoring processes and methodologies highly preferred Seeking a challenging new position in a dynamic high growth company and industry Should be good with logical and quantitative abilities Excellent interpersonal skills ability to network and earn confidence of diverse Client personnel plus interaction with and management of eClerx India based operations team Role and Responsibility: As part of our Confirmations management team, you will be managing a team of 5-6 members and will be responsible for meeting KPIs and SLAs which are defined in the process. You will be primary point of contact with our client partners for any BAU related queries, escalation requirements and to improve processes and controls that build capacity and scale. Your role will be to execute process functions and liaise with Middle office and counter parties for multiple OTC products. Supporting managers in handling daily issues and assume the role of a process SME. Handling and resolving queries related to confirmation by the data provided to you by the system & counter parties. Independently handle clients establish self as a valued partner Independently handle all client escalations and lead mitigation steps to prevent future escalations Grooming As and SAs to manage process and risk effectively Set goals and targets for team and give effective feedbacks on performance Build domain expertise and lead from the front Training, delivery management, mentoring Help knowledge management endeavour by sharing process knowledge and best practices within the teams minimize program dependence on self and other key member Should be able to work with business partners of knowledge management, talent acquisition & quality teams for an excellent compliance .

Associate Process Manager Roles and responsibilities: Create effective Powerpoint presentations Be able to lead present in client discussions on Projects Drive process excellence across assigned projects Lead and mentor projects from ideation to implementation, leveraging solutions ranging from Excel to machine learning. Champion continuous improvement through Kaizen events. Communicate effectively with senior stakeholders, providing regular project updates. Conduct process audits and implement risk management strategies. Technical and Functional Skills: Bachelors Degree with 3+ years of experience in understanding & implementation of LEAN Six Sigma methodologies like DMAIC, DMADV (Six sigma green belt certified) Excellent Communication & Presentation Skills (written & verbal) Excellent with creating Powerpoint presentations Understanding of risk management and quality tools (FMEA, Fishbone, 7 QC Tools, MP tools) Strong interpersonal skills and a collaborative mindset Proficiency in Microsoft Excel.

We are looking for a skilled Associate Process Manager to join our team at eClerx Services Ltd. The ideal candidate will have 6-8 years of experience in process management, preferably in the IT Services & Consulting industry. Roles and Responsibility Manage and oversee daily operations to ensure efficiency and productivity. Develop and implement process improvements to boost quality and reduce costs. Collaborate with cross-functional teams to align processes with business objectives. Analyze data and metrics to identify areas for improvement and optimize processes. Implement and maintain quality control measures to ensure high standards. Lead and motivate a team of process managers to achieve goals. Job Requirements Proven experience as a Process Manager or similar role in the IT Services & Consulting industry. Strong understanding of process management principles and methodologies. Excellent leadership and communication skills. Ability to analyze complex data and make informed decisions. Experience with process improvement tools and techniques. Strong problem-solving skills and attention to detail.

About The Role The candidate must possess in-depth functional knowledge of the process area and apply it to operational scenarios to provide effective solutions. The candidate must be able to identify discrepancies and propose optimal solutions by using a logical, systematic, and sequential methodology. It is vital to be open-minded towards inputs and views from team members and to effectively lead, control, and motivate groups towards company objects. Additionally, the candidate must be self-directed, proactive, and seize every opportunity to meet internal and external customer needs and achieve customer satisfaction by effectively auditing processes, implementing best practices and process improvements, and utilizing the frameworks and tools available. Goals and thoughts must be clearly and concisely articulated and conveyed, verbally and in writing, to clients, colleagues, subordinates, and supervisors. Associate Process Manager Roles and responsibilities: 1.Hands-On Data Analysis & Insights Generation Perform in-depth, hands-on analysis of business data to uncover trends, opportunities, and risks affecting KPIs such as conversion rates, sales, customer retention, and operational efficiency. Independently query, extract, and manipulate large datasets using SQL to answer complex business questions. Use statistical techniques and advanced analytics methods (e.g., predictive modeling, segmentation) to support strategic decision-making. 2. Business-Driven Recommendations & Impactful Storytelling Translate raw data into actionable insights and develop clear, compelling recommendations for business teams. Drive measurable improvements in business performance by identifying optimization opportunities across marketing, operations, sales, and product functions. Excellent communication is non-negotiableyou must be able to simplify complex data, build strong narratives, and effectively present insights to non-technical stakeholders and senior executives. 3. Data Visualization & Reporting Design, develop, and automate scalable reports and dashboards using Power BI to track and communicate business performance. Ensure data accuracy, consistency, and clarity in reports to empower teams to make informed decisions. Provide real-time insights and deep dives to address business challenges proactively. 4. KPI Management & Performance Optimization Collaborate with business teams to define, refine, and monitor key business KPIs. Actively track performance metrics, diagnose variances, and suggest corrective actions. Continuously optimize analytics processes to enhance efficiency and accuracy. 5. Cross-Functional Business Partnership Serve as a trusted analytics partner across marketing, operations, sales, and product teams. Work closely with stakeholders to understand business needs, translate data into actionable strategies, and influence decision-making. Effectively communicate technical findings in a clear and compelling way to both technical and non-technical audiences. 6. Process Improvement & Best Practices Identify opportunities to imp rove data workflows, analytics processes, and reporting efficiencies. Advocate for a data-driven culture by proactively sharing insights and best practices across teams. Technical and Functional Skills: Bachelors degree in Analytics, Data Science, Business, Statistics, or a related field. Advanced degrees are a plus. 6+ years in analytics, business intelligence, or insights roles, preferably in retail or eCommerce. Advanced proficiency in SQL for querying and analyzing large datasets. Strong experience in Python & Excel. Preferable to work onCRM data. Hands-on experience in creating dashboards and reports using Power BI or similar visualization tools. Excellent verbal and written communication skills with the ability to translate data insights into clear, actionable recommendations. Proven ability to present insights and recommendations to diverse audiences, including senior executives Familiarity with analytics tools such as R, or Tableau, Adobe Analytics, Google Analytics is good to have Experience in eCommerce metrics, such as website traffic, customer journey analysis, or digital marketing performance. Knowledge of advanced analytics techniques like predictive modeling or segmentation. Demonstrated ability to independently lead analytics projects from ideation to execution. Strong business acumen and a deep understanding of how analytics can drive organizational value. Exceptional problem-solving and critical-thinking abilities. A proactive and collaborative mindset, with a focus on continuous improvement

We are looking for a skilled Associate Process Manager to join our team at eClerx Services Ltd. The ideal candidate will have a strong background in IT Services & Consulting and excellent leadership skills, with 6-10 years of experience. Roles and Responsibility Manage and oversee the daily operations of the process team to ensure efficiency and productivity. Develop and implement process improvements to increase quality and reduce costs. Collaborate with cross-functional teams to identify and prioritize project requirements. Analyze data and metrics to inform business decisions and drive process excellence. Train and guide team members on new processes and procedures. Monitor and control process performance to meet customer expectations. Job Requirements Strong understanding of IT Services & Consulting industry trends and best practices. Excellent communication, interpersonal, and problem-solving skills. Ability to work in a fast-paced environment and adapt to changing priorities. Strong analytical and decision-making skills with attention to detail. Experience with process management tools and technologies. Ability to lead and motivate a team to achieve high performance goals.

Associate Process Manager Roles and responsibilities: Create effective Powerpoint presentations Be able to lead present in client discussions on Projects Drive process excellence across assigned projects Lead and mentor projects from ideation to implementation, leveraging solutions ranging from Excel to machine learning. Champion continuous improvement through Kaizen events. Communicate effectively with senior stakeholders, providing regular project updates. Conduct process audits and implement risk management strategies. Technical and Functional Skills: Bachelors Degree with 3+ years of experience in understanding & implementation of LEAN Six Sigma methodologies like DMAIC, DMADV (Six sigma green belt certified) Excellent Communication & Presentation Skills (written & verbal) Excellent with creating Powerpoint presentations Understanding of risk management and quality tools (FMEA, Fishbone, 7 QC Tools, MP tools) Strong interpersonal skills and a collaborative mindset Proficiency in Microsoft Excel.

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.

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.

Shift Timings: APAC (6 AM to 3 PM IST) EMEA (1 PM to 10 PM IST) NAM (6:30 PM to 3:30 PM IST) Minimum Academic Qualifications Graduation (B. ComBBM) Post Graduation (M.Com/MBA/PGDM) Experience Span: 2 to 3 years of experience in handling a team of a minimum of 5-6 members with experience in Confirmations, Reconciliation and an overall experience of 3 to 5 years Process/Activities with Experience: Should have understanding of Confirmations activities likeIndexing, Affirmations, Drafting, Incoming Review, Matching and Chasing Should be aware of CFTC, EMIR guidelines Should be aware of the upstream and downstream activities and its implications Should be aware of electronic confirmation platforms like Markitwire, DTCC Should have basic product knowledge for Fixed Income, CDS, IRS, Equity Swaps, Equity Options, FX Forward, FX Options, Commodities Should able to communicate effectively with global counterparties and trade support groups to explain, resolve discrepancies & breaks Ability to work under pressure to manage multiple deadlines & cut-offs throughout the day Should have hands on experience on Excel (Basic as well as Advance) Willingness to continuously learn, upgrade skills and stay relevant to business demands Should be able to work with teams across time-zones and cultures Should be organized, detail oriented, flexible, self-starter & highly motivated Should be able to act fast and decisively when dealing with critical situations ability to read situations and act in minutes Should be good with numbers and ability to derive information from data Should be excellent multi-tasking, creative problem solving and a good team player Financial Products Knowhow: Fixed Income (Interest Rate Swap & Credit Default Swaps), Equity Swaps, Equity Options, FX Forward, FX Option, NDF, Accumulators, etc. Tools/industry utilities Preferred hands-on & understanding of Confirmation workflows, DTCC, Markitwire, etc. Reporting/Client Management: We follow a practice of managing reports & matrices within deadlines and with 100% accuracy. Understanding the requirements, data to be used & distribution list on the reports. Reporting the BAU & KRIs to senior management & client. We give utmost priority to our clients and their requirements, adhere to the requirements and follow a strict procedure of reporting Other : Knowledge of/prior experience with offshoring processes and methodologies highly preferred Seeking a challenging new position in a dynamic high growth company and industry Should be good with logical and quantitative abilities Excellent interpersonal skills ability to network and earn confidence of diverse Client personnel plus interaction with and management of eClerx India based operations team Role and Responsibility: As part of our Confirmations management team, you will be managing a team of 5-6 members and will be responsible for meeting KPIs and SLAs which are defined in the process. You will be primary point of contact with our client partners for any BAU related queries, escalation requirements and to improve processes and controls that build capacity and scale. Your role will be to execute process functions and liaise with Middle office and counter parties for multiple OTC products. Supporting managers in handling daily issues and assume the role of a process SME. Handling and resolving queries related to confirmation by the data provided to you by the system & counter parties. Independently handle clients establish self as a valued partner Independently handle all client escalations and lead mitigation steps to prevent future escalations Grooming As and SAs to manage process and risk effectively Set goals and targets for team and give effective feedbacks on performance Build domain expertise and lead from the front Training, delivery management, mentoring Help knowledge management endeavour by sharing process knowledge and best practices within the teams minimize program dependence on self and other key member Should be able to work with business partners of knowledge management, talent acquisition & quality teams for an excellent compliance .

We are looking for a skilled Associate Process Manager to join our team at eClerx Services Ltd. The ideal candidate will have 6-8 years of experience in process management, preferably in the IT Services & Consulting industry. Roles and Responsibility Manage and oversee daily operations to ensure efficiency and productivity. Develop and implement process improvements to boost quality and reduce costs. Collaborate with cross-functional teams to align processes with business objectives. Analyze data and metrics to identify areas for improvement and optimize processes. Implement and maintain quality control measures to ensure high standards. Lead and motivate a team of process managers to achieve goals. Job Requirements Proven experience as a Process Manager or similar role in the IT Services & Consulting industry. Strong understanding of process management principles and methodologies. Excellent leadership and communication skills. Ability to analyze complex data and make informed decisions. Experience with process improvement tools and techniques. Strong problem-solving skills and attention to detail.

We are looking for a skilled Associate Process Manager to join our team at eClerx Services Ltd. The ideal candidate will have a strong background in IT Services & Consulting, with excellent process management skills and the ability to work effectively in a fast-paced environment. Roles and Responsibility Manage and oversee daily operations of the process team to ensure efficiency and productivity. Develop and implement process improvements to increase quality and reduce costs. Collaborate with cross-functional teams to identify and resolve issues. Analyze data and metrics to inform process decisions and optimize performance. Train and guide team members on new processes and procedures. Ensure compliance with company policies and regulatory requirements. Job Requirements Minimum 2 years of experience in process management or a related field. Strong understanding of IT Services & Consulting industry trends and best practices. Excellent communication, leadership, and problem-solving skills. Ability to work in a dynamic environment and adapt to changing priorities. Strong analytical and decision-making skills with attention to detail. Experience with process improvement methodologies and tools.

About The Role The candidate must possess in-depth functional knowledge of the process area and apply it to operational scenarios to provide effective solutions. The candidate must be able to identify discrepancies and propose optimal solutions by using a logical, systematic, and sequential methodology. It is vital to be open-minded towards inputs and views from team members and to effectively lead, control, and motivate groups towards company objects. Additionally, the candidate must be self-directed, proactive, and seize every opportunity to meet internal and external customer needs and achieve customer satisfaction by effectively auditing processes, implementing best practices and process improvements, and utilizing the frameworks and tools available. Goals and thoughts must be clearly and concisely articulated and conveyed, verbally and in writing, to clients, colleagues, subordinates, and supervisors. Associate Process Manager Roles and responsibilities: 1.Hands-On Data Analysis & Insights Generation Perform in-depth, hands-on analysis of business data to uncover trends, opportunities, and risks affecting KPIs such as conversion rates, sales, customer retention, and operational efficiency. Independently query, extract, and manipulate large datasets using SQL to answer complex business questions. Use statistical techniques and advanced analytics methods (e.g., predictive modeling, segmentation) to support strategic decision-making. 2. Business-Driven Recommendations & Impactful Storytelling Translate raw data into actionable insights and develop clear, compelling recommendations for business teams. Drive measurable improvements in business performance by identifying optimization opportunities across marketing, operations, sales, and product functions. Excellent communication is non-negotiableyou must be able to simplify complex data, build strong narratives, and effectively present insights to non-technical stakeholders and senior executives. 3. Data Visualization & Reporting Design, develop, and automate scalable reports and dashboards using Power BI to track and communicate business performance. Ensure data accuracy, consistency, and clarity in reports to empower teams to make informed decisions. Provide real-time insights and deep dives to address business challenges proactively. 4. KPI Management & Performance Optimization Collaborate with business teams to define, refine, and monitor key business KPIs. Actively track performance metrics, diagnose variances, and suggest corrective actions. Continuously optimize analytics processes to enhance efficiency and accuracy. 5. Cross-Functional Business Partnership Serve as a trusted analytics partner across marketing, operations, sales, and product teams. Work closely with stakeholders to understand business needs, translate data into actionable strategies, and influence decision-making. Effectively communicate technical findings in a clear and compelling way to both technical and non-technical audiences. 6. Process Improvement & Best Practices Identify opportunities to imp rove data workflows, analytics processes, and reporting efficiencies. Advocate for a data-driven culture by proactively sharing insights and best practices across teams. Technical and Functional Skills: Bachelors degree in Analytics, Data Science, Business, Statistics, or a related field. Advanced degrees are a plus. 6+ years in analytics, business intelligence, or insights roles, preferably in retail or eCommerce. Advanced proficiency in SQL for querying and analyzing large datasets. Strong experience in Python & Excel. Preferable to work onCRM data. Hands-on experience in creating dashboards and reports using Power BI or similar visualization tools. Excellent verbal and written communication skills with the ability to translate data insights into clear, actionable recommendations. Proven ability to present insights and recommendations to diverse audiences, including senior executives Familiarity with analytics tools such as R, or Tableau, Adobe Analytics, Google Analytics is good to have Experience in eCommerce metrics, such as website traffic, customer journey analysis, or digital marketing performance. Knowledge of advanced analytics techniques like predictive modeling or segmentation. Demonstrated ability to independently lead analytics projects from ideation to execution. Strong business acumen and a deep understanding of how analytics can drive organizational value. Exceptional problem-solving and critical-thinking abilities. A proactive and collaborative mindset, with a focus on continuous improvement

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.

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.

We are looking for a skilled Associate Process Manager to join our team at eClerx Services Ltd. The ideal candidate will have a strong background in IT Services & Consulting, with excellent process management skills and the ability to work effectively in a fast-paced environment. Roles and Responsibility Manage and oversee daily operations of the process team to ensure efficiency and productivity. Develop and implement process improvements to increase quality and reduce costs. Collaborate with cross-functional teams to identify and resolve issues. Analyze data and metrics to inform process decisions and optimize performance. Train and guide team members on new processes and procedures. Ensure compliance with company policies and regulatory requirements. Job Requirements Minimum 2 years of experience in process management or a related field. Strong understanding of IT Services & Consulting industry trends and best practices. Excellent communication, leadership, and problem-solving skills. Ability to work in a dynamic environment and adapt to changing priorities. Strong analytical and decision-making skills with attention to detail. Experience with process improvement methodologies and tools.

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.

About The Role The candidate must possess in-depth functional knowledge of the process area and apply it to operational scenarios to provide effective solutions. The candidate must be able to identify discrepancies and propose optimal solutions by using a logical, systematic, and sequential methodology. It is vital to be open-minded towards inputs and views from team members and to effectively lead, control, and motivate groups towards company objects. Additionally, the candidate must be self-directed, proactive, and seize every opportunity to meet internal and external customer needs and achieve customer satisfaction by effectively auditing processes, implementing best practices and process improvements, and utilizing the frameworks and tools available. Goals and thoughts must be clearly and concisely articulated and conveyed, verbally and in writing, to clients, colleagues, subordinates, and supervisors. Associate Process Manager Roles and responsibilities: 1.Hands-On Data Analysis & Insights Generation Perform in-depth, hands-on analysis of business data to uncover trends, opportunities, and risks affecting KPIs such as conversion rates, sales, customer retention, and operational efficiency. Independently query, extract, and manipulate large datasets using SQL to answer complex business questions. Use statistical techniques and advanced analytics methods (e.g., predictive modeling, segmentation) to support strategic decision-making. 2. Business-Driven Recommendations & Impactful Storytelling Translate raw data into actionable insights and develop clear, compelling recommendations for business teams. Drive measurable improvements in business performance by identifying optimization opportunities across marketing, operations, sales, and product functions. Excellent communication is non-negotiableyou must be able to simplify complex data, build strong narratives, and effectively present insights to non-technical stakeholders and senior executives. 3. Data Visualization & Reporting Design, develop, and automate scalable reports and dashboards using Power BI to track and communicate business performance. Ensure data accuracy, consistency, and clarity in reports to empower teams to make informed decisions. Provide real-time insights and deep dives to address business challenges proactively. 4. KPI Management & Performance Optimization Collaborate with business teams to define, refine, and monitor key business KPIs. Actively track performance metrics, diagnose variances, and suggest corrective actions. Continuously optimize analytics processes to enhance efficiency and accuracy. 5. Cross-Functional Business Partnership Serve as a trusted analytics partner across marketing, operations, sales, and product teams. Work closely with stakeholders to understand business needs, translate data into actionable strategies, and influence decision-making. Effectively communicate technical findings in a clear and compelling way to both technical and non-technical audiences. 6. Process Improvement & Best Practices Identify opportunities to imp rove data workflows, analytics processes, and reporting efficiencies. Advocate for a data-driven culture by proactively sharing insights and best practices across teams. Technical and Functional Skills: Bachelors degree in Analytics, Data Science, Business, Statistics, or a related field. Advanced degrees are a plus. 6+ years in analytics, business intelligence, or insights roles, preferably in retail or eCommerce. Advanced proficiency in SQL for querying and analyzing large datasets. Strong experience in Python & Excel. Preferable to work onCRM data. Hands-on experience in creating dashboards and reports using Power BI or similar visualization tools. Excellent verbal and written communication skills with the ability to translate data insights into clear, actionable recommendations. Proven ability to present insights and recommendations to diverse audiences, including senior executives Familiarity with analytics tools such as R, or Tableau, Adobe Analytics, Google Analytics is good to have Experience in eCommerce metrics, such as website traffic, customer journey analysis, or digital marketing performance. Knowledge of advanced analytics techniques like predictive modeling or segmentation. Demonstrated ability to independently lead analytics projects from ideation to execution. Strong business acumen and a deep understanding of how analytics can drive organizational value. Exceptional problem-solving and critical-thinking abilities. A proactive and collaborative mindset, with a focus on continuous improvement

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.