9 Data Segmentation Jobs

As a Campaign Quality Analyst, you are responsible for testing and validating workflow along with creatives as per project guidelines. Your primary responsibilities include: Prepare campaign performance diagnostics to develop actionable tactical insights. Perform peer review and quality assurance/control steps to ensure the quality of the delivered target audience. Validate the workflow against Campaign requirements. Test the waterfall and validate it with a database. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Graduate with a minimum 3 years of experience in Unica Campaign Automation Tool Experience in Campaign Testing Methodology Expertise in SQL and other testing tools Excellent communication skills Preferred technical and professional experience Exposure to multiple marketing platforms for campaign management operations. Hands-on experience in data segmentation to generate target audience. Skilled in all required email testing before deployment such as multivariate Ambitious individual who can work under their direction towards agreed targets/goals.

Urgent Hiring for Data Engineers Job Location: Lucknow (On-Site) Exp - 4+ yrs (relevant) Salary range: 15 lpa - 18 lpa No.of open positions : 10 Immediate joiners are only required Job Overview: We are seeking experienced Data Engineer to join our team. As a Data Engineer, you will be responsible for designing, building, and maintaining large-scale data systems and pipelines. You will work closely with our data science team to prepare data for prescriptive and predictive modeling, ensuring high-quality data outputs. Key Responsibilities: - Analyze and organize raw data from various sources - Build and maintain data systems and pipelines - Prepare data for prescriptive and predictive modeling - Combine raw information from different sources to generate valuable insights - Enhance data quality and reliability Requirements : - 4+ years of experience as a Data Engineer or in a similar role - Technical expertise in data models, data mining, and segmentation techniques - Experience with Cloud data technologies (Azure Data Factory, Databricks) - Knowledge of CI/CD pipelines and Jenkins - Strong programming skills in Python - Hands-on experience with SQL databases

Responsibilities: * Implement digital marketing strategies using HTML/CSS and data segmentation techniques. * Develop custom solutions on Salesforce platform with focus on marketing automation. *Set up and configure data models. Annual bonus

Role & responsibilities Apply marketing principles and campaign strategies to manage audience segmentation. Collaborate with marketing teams to understand campaign objectives and translate these into audience segments. Communicate effectively with both technical and non-technical stakeholders. Adhere to industry standards for data handling, including PII data storage, transfer, and disposal procedures. Utilize AEP for segment creation, PII data handling compliance, and data governance or use Adobe Campaign Classic for audience segmentation, audience enrichment, and data handling processes. Preferred candidate profile Must Have Skills Proficiency in marketing principles and campaign strategies. Ability to collaborate and communicate effectively with diverse stakeholders. Familiarity with PII data storage, transfer, and disposal procedures. Experience in and working knowledge of either AEP (with skills in segment creation, PII data handling compliance, and data governance) or Adobe Campaign Classic (with skills in audience segmentation, audience enrichment, and data handling). Good to Have Skills Experience with Lead nurture workstreams. Experience with data modelling and creation of audience cohorts to optimize reach. Experience with importing audiences or connecting to external systems through APIs (such as Postman). Working knowledge of JavaScript. Experience in Adobe Journey Optimizer, including use of journeys v/s campaigns, journey orchestration, defining triggers and actions, and working with Custom actions.

Role & responsibilities Apply marketing principles and campaign strategies to manage audience segmentation. Collaborate with marketing teams to understand campaign objectives and translate these into audience segments. Communicate effectively with both technical and non-technical stakeholders. Adhere to industry standards for data handling, including PII data storage, transfer, and disposal procedures. Utilize AEP for segment creation, PII data handling compliance, and data governance or use Adobe Campaign Classic for audience segmentation, audience enrichment, and data handling processes. Preferred candidate profile Experience with Lead nurture workstreams. Experience with data modelling and creation of audience cohorts to optimize reach. Experience with importing audiences or connecting to external systems through APIs (such as Postman). Working knowledge of SQL queries, data segmentation. Experience in Adobe Journey Optimizer, including use of journeys v/s campaigns, journey orchestration, defining triggers and actions, and working with Custom actions. Perks and Benefits Both way cab facilities Night Shift Allowance + Meals Insurance Benefits Global footprint Working with Fortune 500 clients

Job Title - S&C Global Network - AI - Marketing (MMM) - Consultant Management Level: 9-Team Lead/Consultant Location: Bengaluru, BDC7C Must-have skills: Market Mix Modeling (MMM) Good to have skills: Ability to leverage design thinking, business process optimization, and stakeholder management skills. Job Summary : This role involves driving strategic initiatives, managing business transformations, and leveraging industry expertise to create value-driven solutions. Roles & Responsibilities: Provide strategic advisory services, conduct market research, and develop data-driven recommendations to enhance business performance. Must have knowledge of SQL language and at-least one cloud-based technologies (Azure, AWS, GCP) Must have good knowledge of Market mix modeling techniques and optimization algorithms and applicability to industry data Must have data migration experience from cloud to snowflake (Azure, GCP, AWS) Managing sets of XML, JSON, and CSV from disparate sources. Manage documentation of data models, architecture, and maintenance processes Have an understanding of econometric/statistical modeling and analysis techniques such as regression analysis, hypothesis testing, multivariate statistical analysis, time series techniques, optimization techniques, and statistical packages such as R, Python, Java, SQL, Spark etc. Working knowledge in Machine Learning algorithms like Random Forest, Gradient Boosting, Neural Network etc. Proficient in Excel, MS word, PowerPoint, etc. Professional & Technical Skills: - Relevant experience in the required domain. - Strong analytical, problem-solving, and communication skills. - Ability to work in a fast-paced, dynamic environment. Additional Information: - Opportunity to work on innovative projects. - Career growth and leadership exposure. WHAT'S IN IT FOR YOU? As part of our Analytics practice, you will join a worldwide network of over 20,000 smart and driven colleagues experienced in leading statistical tools, methods and applications. From data to analytics and insights to actions, our forward-thinking consultants provide analytically-informed, issue-based insights at scale to help our clients improve outcomes and achieve high performance. Accenture will continually invest in your learning and growth. Youll work with MMM experts, and Accenture will support you in growing your own tech stack and certifications In Applied intelligence you will understands the importance of sound analytical decision-making, relationship of tasks to the overall project, and executes projects in the context of a business performance improvement initiative. What you would do in this role Working through the phases of project Define data requirements for creating a model and understand the business problem Clean, aggregate, analyze, interpret data and carry out quality analysis of it 3+ years of experience of Market Mix Modeling and related concepts of optimizing promotional channels and budget allocation Experience in working with nonlinear optimization techniques. Proficiency in Statistical and Probabilistic methods such as SVM, Decision-Trees, Bagging and Boosting Techniques, Clustering Hands on experience in python data-science and math packages such as NumPy, Pandas, Sklearn, Seaborne, Pycaret, Matplotlib Development of AI/ML models Develop and Manage data pipelines Develop and Manage Data within different layers of Snowflake Aware of common design patterns for scalable machine learning architectures, as well as tools for deploying and maintaining machine learning models in production. Knowledge of cloud platforms and usage for pipelining and deploying and scaling marketing mix models. Working along with the team and consultant/manager Looking for insight and creating a presentation to demonstrate these insights Supporting development and maintenance of proprietary marketing techniques and other knowledge development projects Basic level of task management knowledge and experience. Should be able to plan own tasks, discuss and work on priorities, track and report progress About Our Company | Accenture Qualifications Experience: 8 to 10 Years Educational Qualification: B.Com with 15 yrs edu

Role & responsibilities Apply marketing principles and campaign strategies to manage audience segmentation. Collaborate with marketing teams to understand campaign objectives and translate these into audience segments. Communicate effectively with both technical and non-technical stakeholders. Adhere to industry standards for data handling, including PII data storage, transfer, and disposal procedures. Utilize AEP for segment creation, PII data handling compliance, and data governance or use Adobe Campaign Classic for audience segmentation, audience enrichment, and data handling processes. Preferred candidate profile Must Have Skills Proficiency in marketing principles and campaign strategies. Ability to collaborate and communicate effectively with diverse stakeholders. Familiarity with PII data storage, transfer, and disposal procedures. Experience in and working knowledge of either AEP (with skills in segment creation, PII data handling compliance, and data governance) or Adobe Campaign Classic (with skills in audience segmentation, audience enrichment, and data handling). Good to have Skills Experience with Lead nurture workstreams. Experience with data modelling and creation of audience cohorts to optimize reach. Experience with importing audiences or connecting to external systems through APIs (such as Postman). Working knowledge of JavaScript. Experience in Adobe Journey Optimizer, including use of journeys v/s campaigns, journey orchestration, defining triggers and actions, and working with Custom actions. Perks and benefits Insurance Benefits Holistic Wellness Programs Cab Facility International Onsite Opportunities Working with 500 Fortune Clients Global Footprint Professional Development & Training

Role & responsibilities Apply marketing principles and campaign strategies to manage audience segmentation. Collaborate with marketing teams to understand campaign objectives and translate these into audience segments. Communicate effectively with both technical and non-technical stakeholders. Adhere to industry standards for data handling, including PII data storage, transfer, and disposal procedures. Utilize AEP for segment creation, PII data handling compliance, and data governance or use Adobe Campaign Classic for audience segmentation, audience enrichment, and data handling processes. Preferred candidate profile Must Have Skills Proficiency in marketing principles and campaign strategies. Ability to collaborate and communicate effectively with diverse stakeholders. Familiarity with PII data storage, transfer, and disposal procedures. Experience in and working knowledge of either AEP (with skills in segment creation, PII data handling compliance, and data governance) or Adobe Campaign Classic (with skills in audience segmentation, audience enrichment, and data handling). Good to have Skills Experience with Lead nurture workstreams. Experience with data modelling and creation of audience cohorts to optimize reach. Experience with importing audiences or connecting to external systems through APIs (such as Postman). Working knowledge of JavaScript. Experience in Adobe Journey Optimizer, including use of journeys v/s campaigns, journey orchestration, defining triggers and actions, and working with Custom actions. Perks and benefits Insurance Benefits Holistic Wellness Programs Cab Facility International Onsite Opportunities Working with Fortune 500 Clients Global Footprint Professional Development & Training

Entity :- Accenture Strategy & Consulting Team :- Strategy & Consulting- Global Network Practice :- Marketing Analytics Title :- Analyst/Consultant Job location :- Gurgaon About S&C - Global Network :- Accenture Applied Intelligence practice help our clients grow their business in entirely new ways. Analytics enables our clients to achieve high performance through insights from data - insights that inform better decisions and strengthen customer relationships. From strategy to execution, Accenture works with organizations to develop analytic capabilities - from accessing and reporting on data to predictive modelling - to outperform the competition. WHATS IN IT FOR YOU? As part of our Analytics practice, you will join a worldwide network of over 20,000 smart and driven colleagues experienced in leading statistical tools, methods and applications. From data to analytics and insights to actions, our forward-thinking consultants provide analytically-informed, issue-based insights at scale to help our clients improve outcomes and achieve high performance. Accenture will continually invest in your learning and growth. Youll work with MMM experts, and Accenture will support you in growing your own tech stack and certifications In Applied intelligence you will understands the importance of sound analytical decision-making, relationship of tasks to the overall project, and executes projects in the context of a business performance improvement initiative. What you would do in this role Working through the phases of project Define data requirements for creating a model and understand the business problem Clean, aggregate, analyze, interpret data and carry out quality analysis of it 3+ years of experience of Market Mix Modeling and related concepts of optimizing promotional channels and budget allocation Experience in working with nonlinear optimization techniques. Proficiency in Statistical and Probabilistic methods such as SVM, Decision-Trees, Bagging and Boosting Techniques, Clustering Hands on experience in python data-science and math packages such as NumPy, Pandas, Sklearn, Seaborne, Pycaret, Matplotlib Development of AI/ML models Develop and Manage data pipelines Develop and Manage Data within different layers of Snowflake Aware of common design patterns for scalable machine learning architectures, as well as tools for deploying and maintaining machine learning models in production. Knowledge of cloud platforms and usage for pipelining and deploying and scaling marketing mix models. Working along with the team and consultant/manager Looking for insight and creating a presentation to demonstrate these insights Supporting development and maintenance of proprietary marketing techniques and other knowledge development projects Basic level of task management knowledge and experience. Should be able to plan own tasks, discuss and work on priorities, track and report progress Qualifications Who we are looking for? 2+ years for Analyst & 4+ years for Consultant of work experience in consulting/analytics with reputed organization is desirable Master degree in Statistics/Econometrics/ Economics or B Tech/M Tech or Masters/M Tech in Computer Science or M.Phil/Ph.D in statistics/econometrics or related field from reputed college Must have knowledge of SQL language and at-least one cloud-based technologies (Azure, AWS, GCP) Must have good knowledge of Market mix modeling techniques and optimization algorithms and applicability to industry data Must have data migration experience from cloud to snowflake (Azure, GCP, AWS) Managing sets of XML, JSON, and CSV from disparate sources. Manage documentation of data models, architecture, and maintenance processes Have an understanding of econometric/statistical modeling and analysis techniques such as regression analysis, hypothesis testing, multivariate statistical analysis, time series techniques, optimization techniques, and statistical packages such as R, Python, Java, SQL, Spark etc. Working knowledge in Machine Learning algorithms like Random Forest, Gradient Boosting, Neural Network etc. Proficient in Excel, MS word, PowerPoint, etc.