AI / Data Engineer at Accenture

Mississauga, Ontario, Canada

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Not SpecifiedCompensation

Mid-level (3 to 4 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, ConsultingIndustries

Requirements

Bachelor’s degree or completion of a college program in a related discipline
6+ years of experience in a data driven environment as a Product Owner, Project Manager, Data Analyst or Business Intelligence Analyst
2+ years experience in demand gen and marketing funnel performance analysis
2 to 5 years of business analysis experience

Responsibilities

Deliver advanced analytics and AI-driven insights on eCommerce and digital channels (including retargeting and CRM activity) to inform Marketing and Operations strategies
Develop predictive models and machine learning algorithms to forecast campaign performance, customer behavior, and revenue trends
Create automated dashboards and real-time reporting using Looker and other BI tools, integrating AI for anomaly detection and trend analysis
Perform data mining and feature engineering to uncover patterns that optimize marketing campaigns and operational efficiency
Analyze risks and opportunities using AI-powered simulations and scenario modeling, providing actionable recommendations for executives
Collaborate on AI-enabled marketing projects, ensuring alignment with campaign management processes and advanced analytics
Implement natural language processing (NLP) for sentiment analysis and customer feedback insights
Ensure data integrity and governance while leveraging AI for data quality checks and compliance monitoring
Integrate Salesforce and Marketo data with AI models to enhance marketing funnel performance and attribution analysis
Communicate findings through data storytelling, using interactive visualizations and AI-driven insights for executive presentations
Partner with cross-functional teams to define AI use cases, gather requirements, and incorporate feedback into intelligent dashboard designs
Support quarterly budget reconciliation and expense tracking with predictive analytics for cost optimization

Skills

Key technologies and capabilities for this role

AIData EngineeringData ReportingData InsightsEcommerce AnalyticsDigital ChannelsData VisualizationMarketing AnalyticsOperations AnalyticsGen AI

Questions & Answers

Common questions about this position

Is this a remote position or does it require office work?

This role is in our Local ATCs and will require on-site work 2-3 days per week.

What are the key skills required for this AI/Data Engineer role?

Key skills include advanced analytics and AI-driven insights, developing predictive models and machine learning algorithms, data visualization with Looker and BI tools, data mining and feature engineering, and natural language processing (NLP) for sentiment analysis.

What is the salary or compensation for this position?

This information is not specified in the job description.

What is the company culture like at Accenture's Advanced Technology Centers?

The culture emphasizes collaboration in a highly collaborative team of experts, boundaryless career paths, learning from each other, and solving complex client challenges together.

What makes a strong candidate for this AI/Data Engineer position?

Strong candidates will have expertise in AI-driven analytics for eCommerce and digital channels, experience building predictive models and machine learning algorithms, proficiency with Looker and BI tools for dashboards, and skills in NLP and data mining.

Accenture

Global professional services for digital transformation

About Accenture

Accenture provides a wide range of professional services, including strategy and consulting, technology, and operations, to help organizations improve their performance. Their services assist clients in navigating digital transformation, enhancing operational efficiency, and achieving sustainable growth. Accenture's offerings include cloud migration, cybersecurity, artificial intelligence, and data analytics, which are tailored to meet the needs of various industries such as financial services, healthcare, and retail. What sets Accenture apart from its competitors is its extensive industry knowledge and ability to deliver comprehensive solutions that address both immediate challenges and long-term goals. The company's aim is to support clients in reducing their environmental impact while driving innovation and growth.

Dublin, IrelandHeadquarters

1989Year Founded

$8.5MTotal Funding

IPOCompany Stage

Consulting, Enterprise Software, CybersecurityIndustries

10,001+Employees

Risks

Rapid AI advancements may outpace Accenture's current capabilities, risking competitive disadvantages.

Integration challenges from multiple acquisitions could affect Accenture's operational efficiency.

The rise of AI-driven startups may disrupt Accenture's market share in customer service solutions.

Differentiation

Accenture's acquisitions enhance its capabilities in digital twin technology for financial services.

The company is expanding its expertise in net-zero infrastructure through strategic acquisitions.

Accenture's focus on software-defined vehicles positions it as a leader in automotive innovation.

Upsides

Accenture's investment in EMTECH supports central bank modernization amid digital currency evolution.

The acquisition of Award Solutions boosts Accenture's presence in the growing 5G and IoT markets.

Accenture's strategic acquisitions align with high-growth markets like digital twins and net-zero projects.

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