I&F Decision Sci Practitioner Specialist

Skill required: Delivery - Campaign Analytics & Reporting

Designation: I&F Decision Sci Practitioner Specialist

Qualifications:Any Graduation

Years of Experience:7 to 11 years

Intelligent Operations centers. Our 784,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries.

What would you do Intelligent Operations centers. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities. .We re the global managed services arm of Accenture Interactive. We sit in the Operations Business to take advantage of the industrialized run capabilities leveraging investments from Accenture Operations.Our quest is to activate the best experiences on the planet by driving value across every customer interaction to maximize marketing performance. We combine deep functional and technical expertise to future-proof our client s business while accelerating time-to-market and operating efficiently at scale.We are digital professionals committed to providing innovative, end-to-end customer experience solutions focusing on operating marketing models that help businesses transform and excel in the new world, with an ecosystem that empowers our clients to implement the changes necessary to support the transformation of their businesses.You will take ownership of end-to-end campaign analytics workstreams for global clients - from audience strategy and segmentation to post-campaign measurement and insight generation. You will act as a subject matter expert in CRM analytics and customer insight methodologies, guiding junior analysts and partnering with marketing, data science, and platform teams to continuously improve campaign performance and targeting precision.

What are we looking for Total 6-9 years of experience; 4+ years in campaign analytics or CRM analyticsAdvanced SQL, campaign analytics and CRM/customer analytics skillsHands-on experience with CRM and campaign platforms (Salesforce Marketing Cloud, Adobe Campaign, Braze, or similar)Strong knowledge of segmentation methodologies and customer analytics (RFM, CLV, propensity scoring)Experience designing campaign measurement frameworks including attribution and incrementality A/B testing, attribution basics and funnel analysisProficiency in Power BI and/or Tableau for dashboard developmentStrong stakeholder management and analytical insight storytelling skillsConsent, opt-in, suppression, eligibility and privacy-aware audience handlingExperience with AI/ML-driven personalization and decision enginesExperience leveraging AI and automation tools to streamline analytics workflows, improve campaign decision-making, and enhance operational efficiencyAbility to perform QA on campaign data, tagging, KPI calculations and methodologyBachelor s degree in Marketing, Statistics, Business, or a related field; Master s preferredPython or R for advanced segmentation and modellingExperience with CDPs (Segment, Tealium, Adobe Experience Platform)Lifecycle segmentation, behavioral segmentation, loyalty segmentation, propensity/RFM/CLTV exposureKnowledge of loyalty program mechanics and customer engagement strategies

Roles and Responsibilities: Lead audience build strategies using advanced segmentation techniquesDesign and own campaign measurement frameworks - including KPI definition, attribution modelling, and ROI analysisDevelop deep customer insight analyses that uncover opportunities for improved personalization, retention, and acquisitionLead campaign KPI tracking and post-campaign performance analysisAnalyze audience, channel, content, conversion, booking, revenue and customer journey performancePrepare insight narratives, drivers of performance and optimization recommendationsBuild and maintain campaign performance dashboards that provide real-time and retrospective views of marketing effectivenessLead test-and-learn design (A/B tests, hold-out groups) and interpret results to inform future campaign strategyPartner with marketing strategy teams to shape audience targeting and message sequencing across the customer journeyMentor junior analysts on segmentation techniques, data interpretation, and stakeholder communicationConduct CLV, churn, and engagement analyses to identify high-value customer segments and at-risk cohortsTranslate complex analytical findings into clear, compelling narratives for business stakeholdersEvaluate and improve campaign data quality, tagging, and tracking infrastructure in collaboration with data engineering teams

Qualification Any Graduation