The Senior Analytics & Optimization Manager will play a key role in maintaining a portfolio of Analytics & Optimization clients’ projects, either directly, or through advising others.
You will be responsible for leading the client data measurement, optimization and personalization strategy as well as the day to day management of assigned client accounts and planned campaigns, focusing on successful measurement insights discovery, measurement tracking implementation and optimisation of their marketing channels, journeys and web properties.
You will provide frequent input into Product design, Product evolution & evangelization, as well as liaise very closely with Directors and VPs on internal initiatives aiming to improve efficiency and quality of the work.
Last but not least, you will also be coaching and mentoring team members from both a strategic and technical point of view for Analytics and Optimization.
Be a passionate subject matter expert on digital marketing, digital measurement, web analysis (inc. web analytics, app tracking, audience strategy, incremental revenue), Conversion Rate Optimization (CRO), Personalization and Usability and possess a strong understanding of the media ecosystem, particularly GMP and mainstream optimization and personalization platforms
Drive performance of analytics and optimization capabilities to impact overall business results
Provide support and mentorship for other members of the team, ensuring they are progressively able to take on more complex tasks and upskill others
Find opportunities for the business to cross-sell other services, including data analysis, attribution, ad-tech, CRM integration, marketing automation, UX, Visual Design, Development, QA, etc
Work closely with the Development, QA, UX, Design, Content and Project Management teams to strategize, ideate, define and run the planned projects and campaigns and to communicate strategy, progress and results
Work closely with Directors and VPs to establish specialisms goals and strategies, defining processes and frameworks
Demonstrable experience with Google Analytics and Google Tag Manager, both web and apps, is required
Demonstrable experience with Google Optimize and / or other mainstream web & app Optimization and Personalization platforms (eg.
Adobe Target, Evergage, Dynamic Yield, Monetate, Leanplum, Tune, Optimizely, Qubit, etc.)
Must have a fluent understanding of Google Marketing Platform, the key benefits and how to leverage the Google stack to the greatest advantage of clients
Deep, hands-on experience working with analytics and experience optimization solutions, ranging from auditing, campaign ideation, definition, setup, launch and reporting, measurement implementations, data analysis & insights, in-housing, presenting to large audiences and training
Strong experience in unearthing insights and forming optimization recommendations using heat-mapping, form analytics and live user testing
Experience with persona based marketing, UX methodologies and a good visual eye to detect what works well (and what doesn’t) in a brand’s journey
Strong analytical and visual thinking skills, with the ability to identify business questions, pain points and opportunities, analyse quantitative and qualitative data, prioritize findings using different models , and develop actionable recommendations and experimentation / personalisation roadmaps
Ability to clearly communicate processes, strategies and general requirements to both internal and external stakeholders
Able to manage projects and delegate seamlessly across multiple teams and regions, to ensure that all deliverables are as per Jellyfish standards and deadlines are met
Able to stay positive under pressure, teamwork with a diverse set of stakeholders and live Jellyfish’s values : be positive, be the solution, be passionate, be accountable, be you
Proficiency with Python / R or other scripting languages is highly desirable
Experience with Google Cloud Platform and BigQuery, ability to query large databases and write SQL queries
Experience with (and positive results from) running campaigns on other web and app experience optimization / personalization platforms besides Google Optimize 360 would be highly desirable
Knowledge and experience with recent Google technologies and tools such as Google Analytics for Firebase, App+Web properties and Google Ads Data Hub is a very big plus
Knowledge and experience with Machine Learning principles and Marketing theory is a big plus
Knowledge and experience with advanced segmentation analysis, session playback, lo-fi wireframing, treejacking, designing polls and surveys will be a big plus
Nice to have experience with the following : Adobe Marketing Cloud, Salesforce Marketing Cloud, Segment, Tableau and Looker
Jellyfish will give preference to Employment Equity candidates in accordance with the company’s Employment Equity Plan and it’s Affirmative Action measures