Job
Description
Entity :- Accenture Strategy & Consulting Team :- Strategy & Consulting – Global Network Practice :- Marketing Analytics Title :- Data Science Consultant/ Data Science Manager – Marketing Analytics Job location :- Any out of 6 AI locations About S&C - Global Network (GN) :- Accenture GN's Data & AI (AI Hub India) 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. WHAT'S IN IT FOR YOU? As part of our Analytics practice, you will join a worldwide network of over 20k+ smart and driven colleagues experienced in leading AI/ML/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. What you would do in this role A Consultant/Manager for Customer Data Platforms serves as the day-to-day marketing technology point of contact and helps our clients get value out of their investment into a Customer Data Platform (CDP) by developing a strategic roadmap focused on personalized activation. You will be working with a multidisciplinary team of Solution Architects, Data Engineers, Data Scientists, and Digital Marketers. Key Duties and Responsibilities: Be a platform expert in one or more leading CDP solutions. Developer level expertise on Lytics, Segment, Adobe Experience Platform, Amperity, Tealium, Treasure Data etc. Including custom build CDPs Deep developer level expertise for real time even tracking for web analytics e.g., Google Tag Manager, Adobe Launch etc. Provide deep domain expertise in our client's business and broad knowledge of digital marketing together with a Marketing Strategist industry Deep expert level knowledge of GA360/GA4, Adobe Analytics, Google Ads, DV360, Campaign Manager, Facebook Ads Manager, The Trading desk etc. Assess and audit the current state of a client's marketing technology stack (MarTech) including data infrastructure, ad platforms and data security policies together with a solutions architect. Conduct stakeholder interviews and gather business requirements Translate business requirements into BRDs, CDP customer analytics use cases, structure technical solution Prioritize CDP use cases together with the client. Create a strategic CDP roadmap focused on data driven marketing activation. Work with the Solution Architect to strategize, architect, and document a scalable CDP implementation, tailored to the client's needs. Provide hands-on support and platform training for our clients. Data processing, data engineer and data schema/models expertise for CDPs to work on data models, unification logic etc. Work with Business Analysts, Data Architects, Technical Architects, DBAs to achieve project objectives - delivery dates, quality objectives etc. Business intelligence expertise for insights, actionable recommendations. Project management expertise for sprint planning Qualifications Who we are looking for? B Tech/M Tech from reputed engineering colleges Masters/M Tech in Computer Science Master degree in Statistics/Econometrics/ Economics from reputed institute M.Phil/Ph.D in Statistics/Econometrics or related field At least 4+ years of relevant work experience of implementing CDP solutions with deep understanding of identity resolution methods At least 4+ years of relevant work experience in marketing, consulting, or analytics At least 5+ years of experience working in an agency environment At least 3 years of experience working with multi-channel marketing hubs by Adobe Experience Platform, Salesforce, Pega or similar. Strong understanding of data governance and compliance (i.e. PII, PHI, GDPR, CCPA) Experience with analytics tools like Google Analytics or Adobe Analytics is a plus. Experience with A/B testing tools is a plus. Must have programming experience in PySpark, Python, Shell Scripts. RDBMS, TSQL, NoSQL experience is must. Manage large volumes of structured and unstructured data, extract & clean data to make it amenable for analysis. Experience in deployment and operationalizing the code is an added advantage. Experience with source control systems such as Git, Bitbucket, and Jenkins build and continuous integration tools. Proficient in Excel, MS word, PowerPoint, etc Technical Skills: Any CDP platforms experience e.g., Lytics CDP platform developer, or/and Segment CDP platform developer, or/and Adobe Experience Platform (Real time – CDP ) developer, or/and Custom CDP developer on any cloud GA4/GA360, or/and Adobe Analytics Google Tag Manager, and/or Adobe Launch, and/or any Tag Manager Tool Google Ads, DV360, Campaign Manager, Facebook Ads Manager, The Trading desk etc. Deep Cloud experiecne (GCP, AWS, Azure) Advance level Python, SQL, Shell Scripting experience Data Migration, DevOps, MLOps, Terraform Script programmer Soft Skills: Strong problem solving skills Good team player Attention to details Good communication skills Accenture is an equal opportunities employer and welcomes applications from all sections of society and does not discriminate on grounds of race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, or any other basis as protected by applicable law.
