Sr. Specialist, Custom Client Analytics
- Toronto, ON, Canada
Salary range $70,000 - $85,000 · Full-time
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Job details
- Pay
- Salary range $70,000 - $85,000
- Job type
- Full-time
- Apply by
- Posting language
- English
- Posted
Original job description
Flywheel
Job Function
Consulting
Job Subfunction
Business and Change Consulting
Job Description
We are seeking a Sr. Specialist to support and contribute to our Custom Client Analytics (CCA) solutions team. Reporting to the Director of the CCA consulting practice within Flywheel’s Commerce Intelligence team, you will play a key role in executing the vision for how data transforms into actionable business strategies. As a hands-on leader, you will collaborate with a team of analysts and consultants, manage client engagements for the world’s leading brands, and contribute to the development of innovative analytical solutions for senior client stakeholders.
What You Will Do
- Lead and contribute to the delivery of client projects and engagements, ensuring high-quality outputs and actionable insights and recommendations that align with client objectives.
- Collaborate with senior marketing executives and other stakeholders to identify business challenges and opportunities where advanced analytics can provide value.
- Develop and implement analytical frameworks, measurement strategies, and reporting solutions to support clients' business goals.
- Assist in executing the strategic vision for the CCA consulting practice, including supporting service offerings, methodologies, and growth initiatives.
- Mentor analysts and consultants, providing training, guidance, and fostering a collaborative culture of analytical excellence.
- Stay informed about industry trends and emerging technologies, contributing to the evolution of the team’s analytical approaches.
- Build and maintain strong relationships with client stakeholders, acting as a trusted advisor on digital commerce and analytics strategies.
- Contribute to the creation of thought leadership content to support the team’s perspective on retail media, analytics, and industry trends.
- Proficiency in data analysis and SQL for data manipulation along with a strong understanding of enterprise analytics tools.
- Proven skills in translating business challenges into actionable analytical solutions.
- Foundation in analytics methodologies, including predictive modelling, marketing measurement, and reporting strategies.
- Experience in working with senior stakeholders, with the ability to present insights and influence decision-making.
- Proficiency in Business Intelligence visualization platforms; PowerBI experience preferred.
- Solid expertise in retail media, digital commerce strategies, and marketing analytics.
- Experience with data clean room environments, retail media platforms, and data integration.
- Experience in or digital commerce. Familiarity with the digital retail ecosystem and the dynamics between manufacturers and retailers.
- Ability to stay adaptable and drive results in a fast-paced, client-focused environment.
- A passion for innovation and staying ahead of industry trends to deliver cutting-edge solutions.
To the extent permissible by local law, Omnicom’s policy requires employees to work in the office for a minimum of three days a week, unless additional in-office days are directed by their agency or manager.
Omnicom is committed to hiring and developing exceptional talent. We agree that talent is uniquely distributed, and we’re focused on developing inclusive teams that can bring the best solutions to everything we do. We strongly believe that celebrating what makes us different makes us better together. Join us - we look forward to getting to know you. We will process your personal data in accordance with our Recruitment Privacy Notice.
Link to Recruitment Privacy Notice: https://www.omc.com/privacy-notice
For US Job Seekers
It is the policy of Omnicom and any of its affiliates to provide equal employment opportunities to all employees and applicants for employment without regard to race, religion, color, ethnic origin, gender, gender identity, age, marital status, veteran status, sexual orientation, disability, or any other basis prohibited by applicable federal, state, or local law. EOE/AA/M/D/V/F.
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Salary range $70,000 - $85,000
More about this job
Responsibilities
Lead client analytics projects and engagements, developing analytical frameworks, measurement strategies, reporting solutions, and actionable recommendations aligned with business objectives. Support the CCA practice's strategic growth, mentor analysts and consultants, build trusted client relationships, and contribute to thought leadership on retail media and analytics.
Requirements
Candidates should have strong data analysis and SQL skills, experience translating business challenges into analytical solutions, and expertise in retail media, digital commerce, and marketing analytics. They should be comfortable presenting insights to senior stakeholders and have experience with BI visualization tools, data clean rooms, retail media platforms, and data integration; Power BI experience is preferred.
Skills
- Data Analysis
- SQL
- Enterprise Analytics
- Business Intelligence Visualization
- Power BI
- Predictive Modeling
- Marketing Measurement
- Reporting Strategies
- Retail Media
- Digital Commerce
- Marketing Analytics
- Data Clean Rooms
- Data Integration
- Client Engagement Management
- Stakeholder Communication
- Mentoring
Visa sponsorship
Not detected in the job text
Categories
- Data & Analytics
- Consulting
- Marketing
- Management & Leadership
Keywords
- Custom Client Analytics
- Commerce Intelligence
- Data Analysis
- SQL
- Enterprise Analytics
- Predictive Modeling
- Marketing Measurement
- Reporting Strategies
- Business Intelligence
- Power BI
- Retail Media
- Digital Commerce
- Marketing Analytics
- Data Clean Rooms
- Retail Media Platforms
- Data Integration
- Analytical Frameworks
- Measurement Strategies
- Client Engagements
- Stakeholder Management
- Actionable Insights
- Consulting
- Thought Leadership
- Digital Retail Ecosystem
- Manufacturer-Retailer Dynamics