Join Accenture as a Senior Analyst in I&F Decision Science, where you'll drive impactful campaign analytics and reporting for global clients. This role offers a dynamic environment to leverage your expertise in data-driven marketing strategies and contribute to enhancing customer experiences.

Accenture is a world leader in digital, cloud, and security services. We combine extensive experience with specialized skills across numerous industries, offering Strategy and Consulting, Technology and Operations, and Accenture Song. Our global network of advanced technology and intelligent operations centers empowers our 784,000 professionals to deliver on the promise of technology and human ingenuity daily, serving clients in over 120 countries. We are committed to transforming change into value and shared success for all stakeholders.

Your responsibilities will include developing and managing audience segments using CRM databases and SQL tools, executing segmentation analyses based on diverse customer data, and applying consent and eligibility rules. You will design and deliver comprehensive campaign performance reports, conduct pre- and post-campaign analyses including attribution modeling, and collaborate closely with marketing teams to align analytics with campaign objectives.

Additionally, you'll monitor campaign health in real-time, flag performance anomalies, and support the creation of customer insight decks. You will also perform CLV and RFM analyses, maintain data quality within systems, document methodologies, and build interactive dashboards using tools like Looker, Power BI, and Tableau to visualize key performance indicators. Developing automated, scheduled reports to minimize manual effort and ensure reliable insights is also a key part of this role.

We are seeking a professional with 5 to 8 years of experience, including at least 2 years in campaign analytics, CRM analytics, or marketing analytics. Proficiency in advanced SQL for data extraction and analysis, along with experience in CRM or campaign management platforms (e.g., Salesforce Marketing Cloud, Adobe Campaign), is essential.

Experience with data visualization tools like Power BI or Tableau for dashboard creation is required. Familiarity with ML-driven personalization or next-best-action engines, and leveraging AI and automation tools to streamline workflows, is advantageous. Strong analytical thinking, the ability to translate data into actionable insights, and excellent communication and stakeholder collaboration skills are paramount.

A Bachelor's degree in Marketing, Statistics, Business, IT, or a related field is required. Knowledge of A/B testing, statistical significance, and experience with loyalty programs or customer retention strategies are beneficial. Proficiency in Excel, including Pivot Tables and VLOOKUP, is expected. Experience with Python for data manipulation and automation is a plus.