CvE - Marketing Consultancy · 12 hours ago
Data and Tech Consultant
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Responsibilities
Provide strategic client direction, fostering a culture of excellence and innovation, and contributing to the industry through thought leadership.
Manage strategic Client communications, negotiating, advising, and building advanced relationships with key stakeholders.
Lead problem-solving efforts, strategizing to overcome complex challenges and implement innovative solutions that drive Project and Client success.
Conduct complex analysis across multiple disciplines, integrating diverse expertise to address challenging gaps, showcasing leadership in collaborative problem-solving.
Holistically integrate and prioritise Client scenarios, aligning them with overarching marketing strategies and business goals, demonstrating strategic thinking.
Oversee comprehensive assessments, leveraging diverse consultancy support to fill expertise gaps, delivering innovative and effective Client solutions.
Offer excellent knowledge across your domain and the marketing ecosystem, driving innovative solutions and strategic insights.
Lead strategic Client conversations, adeptly addressing complex queries and presenting high-level insights with confidence and clarity.
Produce exceptional presentations that set new standards for quality and effectiveness, leveraging a deep understanding of Client needs and industry trends.
Lead high-level presentations across multiple areas of expertise, handling complex queries with proficiency and direct SMT involvement as necessary.
Set standards for timeliness and quality, ensuring all deliverables reflect excellence and strategic insight.
Manage multiple complex Projects, maintaining exceptional communication with stakeholders and consistently meeting Project objectives, reflecting advanced management and leadership capabilities.
Expertly identify and address content gaps, ensuring presentations and documents are coherent, clear, and precise.
Demonstrate best practices, navigating incomplete information and modeling effectively in the absence of concrete data points.
Master the use of customer data in business strategies, fully grasping industry themes and their impact on marketing.
Guide Clients through complex compliance landscapes with strategic advice, demonstrating an advanced understanding of privacy.
Present sophisticated data sets to stakeholders, demonstrating expertise in data manipulation and strategic application.
Lead the implementation of new measurement methodologies, significantly impacting Client and agency partner strategies.
Deeply understand Ad Tech and MarTech technologies, integrating them into comprehensive marketing strategies.
Show leadership in adaptability, guiding teams through complex challenges with strategic foresight.
Drive collaborative success, leveraging extensive expertise and networks to facilitate cross-functional synergy and innovation.
Lead learning initiatives, mentoring others while continuing to seek opportunities for personal and professional growth.
Qualification
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Required
7+ years of experience with data modelling in large complex IT estates, implementation of multiple data architectures and integration of Data Management/Governance tools
Creating robust end-to-end ETL/ELT/hybrid compute data integrations
Two or more major cloud platforms (including BigQuery, Azure, AWS, Snowflake, etc.), data connectors and APIs and data visualization platforms (PowerBI, Tableau, Google Data Studio)
Two or more major Customer Data Platforms (Adobe RT CDP, Salesforce Data Cloud, Segment, ActionIQ, Amperity, etc.)
Advising clients on architecture/infrastructure, platform and engineering best practices across Data Warehouse/Data Lake solutions and modelling concepts
Communicating trade-offs of architectural patterns and approaches associated with technology choices
Designing data models that reduce data redundancy, streamline data movements, and improve enterprise information management
Working within the digital marketing landscape and in particular the main KPIs by channel (search, social, display, CTV, affiliates, CRM, etc.)
Building dashboards and organizing data to deliver actionable insights
Designing and presenting artifacts to clients in a consulting environment and/or digital agency with demonstrated track record of continuing responsibilities, creativity and innovation
Bachelor's degree in computer science, information technology, business analytics, or other technical disciplines or equivalent work experience
Strong foundation in Python, SQL and Spark
Requirements gathering – documentation of business and technical requirements
Project management - identifying, scoping, prioritizing, tracking, and reporting deliverables and milestones
Solution design
Data visualization
Strong bias for action; ability to create a sense of urgency in a fast-paced, entrepreneurial environment
Excellent analytics skills to constantly analyze customer feedback and data
Ability to communicate with a deeply technical as well as low technology literacy stakeholders and customers
Company
CvE - Marketing Consultancy
We a consultancy dedicated to enabling marketing to be a more effective growth engine.
Funding
Current Stage
Early StageCompany data provided by crunchbase