Technology - Data Analyst/ Consultant (Operations Business Intelligence)

Let there be CHANGE

Ready to fast-track your career? Ready to solve complex problems? Advance your skills? Deliver next-generation technology solutions? Join Accenture and help transform leading organizations and communities around the world. Working in highly collaborative teams for world-leading clients, we’ll nurture your talent in an inclusive culture that values diversity.

Your career is about what you want to be and who you want to be. It’s about bringing your skills, your curiosity and your best true self to your work. Here, you’ll match your ingenuity with the latest technology to make incredible things. Let’s create something together.

Key Responsibilities

• Deliver Analytics: Conceptualize and develop complex analytics solutions for business operations, including dashboards, reports, ad-hoc operational analysis, and data models, leveraging an operational data lake and analytics tools, primarily Tableau.

• Business Analysis: Work with business streams to frame business questions, gather process information, perform analysis, design visualization of results, and derive analytical models to meet business objectives.

• Data Integration: Proactively identify and integrate new data sources and expand data models / definitions to ensure the availability of high-quality data for analytics purposes. Lead the end-to-end process including data governance, testing, and documentation.

• Analytics Infrastructure: As a key-business stakeholder, work with IT and Digital teams to manage enhancements on tool integration to advance analytics capabilities, including requirements, testing, training and delivery.

• Ops Analytics: Leverage data analysis to enable day-to-day operational decision making, maintain situational awareness, and respond to ad-hoc analytics requests from management with timely and high-quality delivery.

• Partnerships and Analytics Projects: Act as a key business contact for internal and external parties and lead smaller data / analytics related initiatives within the business.

• Data Quality: Ensure data quality through designing and implementing quality metrics & monitoring processes.

• Data Governance: Navigate data governance and policy frameworks to ensure timely onboarding and integration of data with high quality and of value to the business unit.