Marketing Technology

3 - 8 years

8 - 18 Lacs

Posted:11 hours ago| Platform: Naukri logo

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Work Mode

Hybrid

Job Type

Full Time

Job Description

JD for Data Analyst at Associate level & Senior Associate

  • SQL, SAS, Python, R-Language
  • Adobe Analytics, Google Analytics, PowerBI, Tableau
  • Data Science, Gen AI, Machine Learning, LLM
  • Performing business and data analytics both as an individual contributor and team member along with identifying and addressing business/client needs.
  • Identifying new process opportunities, accurately analyzing and estimating new processes & quickly assessing feasibility.
  • Demonstrating knowledge/experience with data management & data science tools.
  • Analyzing, understanding and documenting the business processes in detail where required to guide use case development.
  • Guiding the definition of data management requirements, including translating and documenting needs, assessing data, and implementing appropriate data solutions & data warehousing principles and methodologies.
  • Working within project planning constraints, communicating any identified project risks and issues to the delivery/project manager accordingly and providing inputs to the change control process.
  • Creating and documenting test procedures and scenarios to help enable end users to access and use starter kits being developed on top of the platform.
  • Demonstrate knowledge of data warehousing concepts and best practices.
  • Providing validation of input/output data along with error handling and monitoring mechanism for the projects.
  • Communicating clearly when writing, speaking and/or presenting to product owners and other project stakeholders.

Preferred Qualifications

  • Adobe Certified Professional in Target, Analytics and/or Launch

Responsibilities:

  • Capable of critically evaluating data to derive meaningful, actionable insights using attributes like Domain Knowledge, Problem-Solving, Attention to Detail & Critical Thinking.
  • Building and managing a team of analysts as our marketing efforts expand.
  • Understand the digital analytics space for websites and mobile applications.
  • Develop domain expertise in the firms business industry to enable data-driven decisions and results within the client's organization.
  • Assess and audit the current state of analytics implementations to identify gaps, find technical issues with the code or configuration, and recommend the best technical solutions
  • Possess a solid foundation in statistics and practical experience with statistical software (such as Excel, SPSS, SAS) and mastery in data analysis languages including SQL, Python, and R.
  • Exhibit exceptional analytical abilities to compile, structure, examine, and present substantial data sets with precision and thoroughness.
  • Demonstrate superior communication and presentation capabilities, adept at simplifying complex data insights for audiences without a technical background.

JD for CDP Data Engineer at Associate level & Senior Associate

Basic Qualifications & Experience

Minimum Degree & Experience Required

Required Knowledge & Skills

  • Adobe Experience Platform, Adobe Journey Optimizer, SFDC, Treasure data or any other CDP tool.
  • Ability to grasp detailed understanding of the CDP data model, mapping data sources to CDP data objects, and the relationship between CDP data objects.
  • Expert in technical implementation of RT-CDP Projects by maintaining optimal metadata & coding standards which leads to the successful delivery of RT-CDP Projects with best in quality and scalability.
  • Demonstrate knowledge of data warehousing concepts and best practices.
  • Providing validation of input/output data in coordination with QA team along with error handling and monitoring mechanism for the projects.
  • Proficient knowledge of data collection, REST/JSON APIs, Experience Data Modeling and Customer Profiling.
  • Experience with one or more back end/server-side technologies including: SOAP/REST, SQL/NoSQL databases and Microservices.
  • Strong knowledge of datasets in Adobe Experience Platform, loading data into Platform through data source connectors, APIs, and streaming ingestion connectors.
  • Integrating Adobe Experience Cloud products with AEP, in addition to working with other data integration technologies to design and implement new solutions and processes to support customer experience strategies
  • Gathering and synthesizing complex business requirements into designs and creating, executing hands-on design and technical writing.
  • Communicating clearly when writing, speaking and/or presenting to product owners and other project stakeholders.

Preferred Qualifications

Degree Preferred: Bachelors degree

Preferred Fields of Study: Digital Marketing, MarTech, Analytics, Marketing Analytics, Business, Computer Science, Data Science, Data Visualization

Additional Educational Preferences

Client Experience: In lieu of a bachelor’s degree, 5 years of professional experience involving focus in supporting data driven decisions to continually optimize performance of digital marketing efforts within established constraints.

Certification(s) Preferred

One or more of the following certifications or accreditations:

  • Adobe Certified Professional - Adobe Real-Time CDP Business Practitioner.
  • Adobe Certified Expert - Adobe Real-Time CDP.

Responsibilities

Your role within the development team will demonstrate intimate abilities and/or a proven record of success as a team leader in the following areas:

  • Creation of Schema’s, Datasets, Segments, Source & Target data flows.
  • Created data mapping and Data flows diagrams in RT-CDP tool.
  • Postman API uses for scheduling queries, Creating Customized field groups and daily error reporting.
  • Segments, Dataset’s export for end users.
  • Creating HTTP API, Data landing zone & others source connectors in RT-CDP tool.
  • Regular interaction with Team and Business analyst on project requirements and created technical design documents for same.
  • Created an ETL mapping sheet to convert the business requirements into actual code by creating mappings, sessions and workflows.
  • Implemented best practice and automation as per scope to meet the customer SLA.

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