
Data Analyst
Role summary
OLIVER, a specialist in bespoke in-house agencies and marketing ecosystems, is seeking a Data Analyst to join their global AI studio function. This role will focus on content optimization using generative AI, setting and tracking KPIs for cross-channel content, and developing test/learn plans. The analyst will combine diverse data sources, utilize various measurement techniques, and provide actionable insights for data-driven decision-making. Responsibilities include designing dashboards, exploring AI capabilities for analytics, and staying current with AI and data analytics advancements. The position is based in Toronto, Ontario, with a hybrid work model.
Established in 2004,
OLIVER
is the world’s first and only specialist in designing, building, and running bespoke in-house agencies and marketing ecosystems for brands. We partner with over 300 clients in 40+ countries and counting. Our unique model drives creativity and efficiency, allowing us to deliver tailored solutions that resonate deeply with audiences.
As a part of
The Brandtech Group
, we're at the forefront of leveraging cutting-edge AI technology to revolutionise how we create and deliver work. Our
AI solutions
enhance efficiency, spark creativity, and drive insightful decision-making, empowering our teams to produce innovative and impactful results.
Role:
Data
Analyst
Location:
Toronto, Ontario
**About the role:**
As the only company to exclusively design, build and run in-house marketing agencies, OLIVER (part of the Inside Ideas Group) holds a unique position in the market.
Be part of an exciting initiative
, where we're pioneering the future of generative AI with our brand-new global AI studio function. As a Content Optimisation Analyst, you'll be at the forefront of this innovation, uncovering insights to drive peak performance of our content. Join our dynamic team and be part of shaping GenAI Creative Optimization/Performance Analyst the next generation of AI-powered marketing for one of the world's most renowned FMCG brands.
**What you will be doing:**
- Set, track, and evaluate KPIs / effectiveness of cross-channel gen AI content (pilots, campaigns, and overall programmes of work).
- Craft test, learn, and optimise plans to driving continuous content improvements at every turn and provide robust learning outcomes.
- Combine diverse data sources (including generation of meta data) to paint an insightful, actionable picture of content performance, empowering data-driven decision-making.
- Utilise various measurement techniques to evaluate effectiveness. Comfortable with various techniques (from last-click attribution to brand lift studies and MMM).
- Analyse performance data and map it to creative recommendations, uncovering insights and opportunities to optimise content.
- Maximise in-platform audience insights (prompt recommendations), and integrate external sources (e.g. social listening, search, panel data) for improved audience understanding / creative outputs.
- Design and maintain dashboards for real-time performance tracking, ensuring we're always ahead of the curve.
- Craft analytics solutions to unlock better creative outputs – including 'out of the box' pre-trained predictive models through to building of bespoke models with data science colleagues as required.
- Explore and assess emerging data analytics capabilities of Gen AI platforms, leading innovation in content analytics / optimisation.
- Stay at the forefront of AI and data analytics advancements, fuelling our pursuit of excellence and identifying novel approaches to enhance analytics / creative outputs.
**What you need to be great in this role:**
- Hands on experience with the major LLMs and other providers for analytics, data, and insight work.
- Possess strong analytics and data-driven experience, driving insights that push boundaries.
- Demonstrated expertise in setting diverse measurement frameworks for content, working with data across digital media, content, brand, and meta data.
- Embrace an innovative approach to data and consumer insights, pioneering new paths to success.
- Leverage interest in applying data to understand audience behaviour.
- Deep understanding of ad account setups, metrics, evaluation and how this drives results.
- Comfortable aggregating multiple data sources to evaluate effectiveness.
- Proficiency with tools such as Brandwatch, Global Web Index, Audiense.
- Excel in data storytelling for non-technical audiences, ensuring insights resonate.
- Possess a keen eye for detail and critical thinking, driving impactful decision-making.
- Comfortable thriving in a fast-paced, changing environment.
- Has a thirst for continual learning and pushing boundaries, driving innovation at every turn.
- Embrace a collaborative, open-minded approach, fostering a culture of teamwork and excellence.
- At the time of this
posting
, the base salary for this position may range from
$76,500.00
to
$85,500.00 CAD
.
Individual compensation varies based on
job related
factors, including location, business needs, level of responsibility, experience, and qualifications. The range listed is just one
componen
t
of OLIVER’s total compensation package.
Req ID:
16826
#
LI-
midsenior
Our values shape everything we do:
Be
Ambitious
to succeed
Be
Imaginative
to push the boundaries of what’s possible
Be
Inspirational
to do groundbreaking work
Be
always learning and listening
to understand
Be
Results-focused
to exceed expectations
Be
actively pro-inclusive and anti-racist
across our community, clients and creations
*OLIVER,*
*a part of the Brandtech Group, is an equal opportunity employer committed to creating an inclusive working environment where all employees are encouraged to reach their full potential, and individual differences are valued and respected. All applicants shall be considered for employment without regard to race, ethnicity, religion, gender, sexual orientation, gender identity, age, neurodivergence, disability status, or any other characteristic protected by local laws.*
*OLIVER has set ambitious environmental goals around sustainability, with science-based emissions reduction targets. Collectively, we work towards our mission, embedding sustainability into every department and through every stage of the project lifecycle.*
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