Data & AI Power BI Data Consultant

Accenture • Saint Petersburg, FL

2d • Hybrid

About The Position

We are: The Advanced Technology Centers (ATCs) is the engine for reinvention in our clients' transformation journey. Powered by more than 255,000 people across 24 countries, ATCs will provide our clients seamless access to industry insights and innovative technology solutions. Stronger together! The Advanced Technology Centers (ATCs) make tremendous impact in solving our clients' business problems leveraging Innovation, Intelligence, Industry insights, new IT and new technology skills. Now, with the global environment changing at a faster pace, our clients are facing unprecedented challenges and they need us more than ever before. As a Network, ATCs are positioned to unlock greater opportunities and exponential value for our clients. The value for our clients and our people For our clients, the Network provides the strength of our geographic diversity, greater resilience, and seamless access to the deepest industry knowledge, the latest in Gen AI solutions, and tech expertise from around the world. For our people, it brings an opportunity to shape truly boundaryless career paths in a highly collaborative team of experts where they can learn from each other and solve the world's most complex client challenges. You are: A skilled Data Engineer with expertise in utilizing Microsoft Power BI and QlikView to help create interactive interfaces that enable individuals to understand, interpret, and communicate complex data and insights. The Work: There will never be a typical day and that's why people love it here. The opportunities to make a difference within exciting client initiatives are unlimited in the ever-changing technology landscape. You will be part of a highly collaborative and growing network of technology and data experts, who are taking on today's biggest, most complex business challenges using the latest data and analytics technologies. We will nurture your talent in an inclusive culture that values diversity. You will have an opportunity to work in a variety of roles covering all aspects of Data Engineering & Visualization including Data Modelling, Integration, Pipeline Development, Quality & Governance.

Requirements

• A minimum of 3 years of professional experience as a Data Engineer or in a Data Visualization role with advanced proficiency in Microsoft Power BI and QlikView
• A minimum of 3 years of professional experience with SQL and data modeling skills for preparing, transforming, and structuring data to support analytical reporting.
• Bachelor's degree or equivalent (minimum 12 years) work experience. (If Associate Degree, must have minimum 6 years work experience)

Nice To Haves

• Experience with advanced analytics or statistical techniques to enhance insights (e.g., forecasting, clustering, trend analysis).
• Familiarity with cloud data platforms (Azure, AWS, or GCP) and connecting BI tools to modern data lakehouse environments.
• Ability to automate reporting workflows using Python, R, or scripting tools to support scalable self-service analytics.
• Ability to translate business needs into effective visual designs using UX/UI best practices and data storytelling principles.

Responsibilities

• Design and develop intuitive, high-impact dashboards and reports using tools such as Power BI, Tableau, or Qlik.
• Translate business requirements into effective visual storytelling, ensuring insights are clear, actionable, and user-focused.
• Build data models and prepare datasets to support visual analytics, including data cleaning, transformations, and performance optimization.
• Advise stakeholders on visualization best practices, UI/UX standards, and selection of appropriate chart types and layouts.
• Collaborate with data engineers, analysts, and business teams to ensure accuracy, consistency, and alignment of metrics across reporting solutions.
• Provide training, documentation, and knowledge transfer to end users to support adoption and self-service analytics.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees