Senior Decision Science Practitioner - Marketing Operations

I&F Decision Science Practitioner Analyst

Skill required: Delivery - Marketing Operations
Designation: I&F Decision Science Practitioner Analyst
Qualifications:Any Graduation
Years of Experience:3 to 5 Years
About Accenture
Accenture is a global professional services company with leading capabilities in digital, cloud and security.Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song— all powered by the world’s largest network of Advanced Technology and 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. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities.Visit us at www.accenture.com
What would you do? Accenture is a global professional services company with leading capabilities in digital, cloud and security. Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song— all powered by the world’s largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities. Visit us at www.accenture.com.A version of end-to-end marketing optimization, from planning and budgeting, through marketing content management, to global marketing execution and analysis. It is the conceptual framework that defines all processes supporting marketing strategy and tactics.
What are we looking for? • Bachelor's degree in data science, Statistics, Computer Science, or a related field, or equivalent work experience • 3 to 5 years of experience in a data-driven environment, with a strong background in SQL, web analytics methodologies, business analysis, and data visualization • Mastery of SQL and advanced querying skills • 1 to 3 years of experience in web analytics methodologies • 2 to 5 years of business analysis experience in large companies with multiple functions/business units • 2 years of experience in the data visualization domain and dashboard development using tools like PowerBI, Tableau, QlikView, or other analytical clients • Strong proficiency in Excel or Google Sheets, including pivot tables and lookups • Familiarity with workflow orchestration tools for efficient data extraction and transformation • Experience with Cloud Technologies and marketing technology platforms • Proven ability in data analysis and a track record of delivering actionable insights
Roles and Responsibilities: • Develop a deep understanding of data modeling, data structures, and pipelines to support efficient data analysis and reporting • Maintain and update documentation on internal websites, ensuring that data processes and methodologies are clearly outlined • Utilize strong communication skills to liaise with other teams and stakeholders, ensuring alignment on data requirements and outputs • Develop, maintain, and troubleshoot scripts, workflows, and dashboards to support data analysis and visualization • Create and manage dashboards and reports using Looker and other data visualization tools, ensuring they are visually appealing, user-friendly, and updated in a timely manner • Address and resolve data quality, integration, or pipeline failures through effective troubleshooting and collaboration with data governance teams • Conduct advanced SQL queries and statistical analysis to derive insights from complex datasets, supporting hypothesis testing and data-driven decision-making • Collaborate with cross-functional teams to gather requirements, incorporate feedback into dashboard designs, and ensure the seamless updating of dashboards and reports • Build and deliver regular reports to provide key insights and performance metrics, aiding informed decision-making processes • Execute ad-hoc data pulls and perform in-depth analysis to support business inquiries and special projects, identifying trends, anomalies, and areas for improvement • Implement data quality assurance measures to ensure the accuracy, completeness, and reliability of reporting outputs • Document data analysis processes, methodologies, and report specifications for future reference and knowledge sharing, contributing to the development of documentation standards and guidelines