Customer Analytics Lead

In your role as Lead, you'll lead transformative projects to enhance customer data analytics capabilities for our clients. The skills required to have in this position are the following:

HERE’S WHAT YOU’LL NEED:

• 5+ years in customer analytics implementation and strategy, with 1-2 years minimum of leading teams to deliver complex solutions.

• 3+ years of experience with data analytics tools / languages such as SQL, Python or Alteryx.

• 3+ years of experience with business & analytics platforms such as PowerBI, Looker and Tableau.

• Bachelor’s degree or equivalent work experience.

• Proven ability to bring a strategic mindset and deep thinking across sales and delivery.

• Experience performing advanced analytics on variety of customer data sources (e.g. digital analytics, digital marketing & advertising, ecommerce, contact center, sales, etc.).

• Demonstrated ability to communicate complex data / analytical concepts into compelling stories to senior stakeholders.

• Experience in growing an internal customer analytics team and serving as a career mentor for junior team members

• English is required for this position as this role will regularly interact with stakeholders across Canada, US and other countries across our Global footprint where English is the common language. Due to the significant high volume of interactions with these English-speaking stakeholders, which is inherent to this position, it is not possible to reorganize the company's activities to avoid this requirement.

BONUS POINTS IF:

• Experience with client-facing projects ideally in consulting, agency or other business-related services. 

• Previous presentation experiences at leading industry conferences and publications within the areas of customer analytics, data and AI

• Experience with digital analytics implementation and tagging for web, paid media, and 3rd party applications.

• Certifications related to digital analytics tools, including Adobe Analytics, Google Analytics and Salesforce, and data & AI cloud service providers, including Azure, GCP, AWS and Databricks

• Experience with Customer Data Platforms (CDPs) to drive personalized marketing strategies and customer experiences derived from data analytics and insights.

• Proficiency in utilizing Customer Relationship Management (CRM) systems to manage and analyze customer interactions and data throughout the customer lifecycle

• Expertise in architecting and building custom data engineering, data science and AI products hosted on cloud computing platforms (AWS, GCP, Azure)

• Experience in implementing various theoretical data science & ML concepts in practice for previous projects (e.g. NLP, deep learning, computer vision, time series analysis, anomaly detection, sampling, etc.) problems and drive data-driven decision-making.

• Experience with architecting and implementing large language models to generate solutions across different mediums (e.g. text, image, video, etc.) and with programmatic tooling (e.g. OpenAI, LangChain, Gemini, Cohere, etc.)

• Experience with architecting data solutions in the Cloud, and integrating automated data insights with downstream systems in Production

Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation, based on full-time employment, for roles that may be hired in British Columbia as set forth below.

Information on benefits is here.

Role Location                                    Annual Salary Range

British Columbia                               $89,500 to $204,100

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