Senior Strategist

Synthesis x L3 Strategist

At Synthesis, we push the boundaries of what’s possible with Open Data. It’s a fast-paced, rapidly changing environment vibrant with collaboration and creativity, at the intersection of data science, cultural analysis & brand consultancy (we call this HCDS: Human Centred Data Science!).

We are looking for people who are culturally curious and passionate about data storytelling. We work with famous brands including Netflix, The LEGO Group, Airbnb, PepsiCo, 2K Games, Amazon Music, Nike, Pernod Ricard, Brown-Forman and The Estée Lauder Companies. Our team is nimble, diverse, and adaptable. Together we represent a variety of experiences – from computer science, digital anthropology, engineering, advertising, to gaming and law.

We will have a great working relationship if you...

• Are comfortable with open-ended challenges, working collaboratively to find creative solutions
• Are innately curious, interested in macro, consumer, cultural and category shifts
• Have the drive to learn and innovate new technologies and methodologies
• Have strong written and communication skills

Strategists at Synthesis develop strategies for brand positioning, innovations and marcomms for the sharpest insights and marketing professionals in the world.

Your core focus:

• Translate robust consumer insights into strategic frameworks driven by quantitative data analysis, in creative ways.
• Be the culture expert, bringing a human perspective to numbers and statistics
• Support and lead client relationships, building trust with our partners by showing a strong interest in their business priorities and demonstrating a ‘nose’ for insights that are most useful and inspiring for them.

You’ll need

5+ years' experience working in a brand strategy or agency planning role. Demonstrated category knowledge in one of our target verticals (Food & Beverage; Music, Gaming & Entertainment; Beauty & Luxury) is essential.

Curiosity and creativity in transforming data into memorable output and the ability to present it confidently and persuasively to senior stakeholders.

Criticality : stretching thinking by adding and expanding, not criticising without suggestions.

Strong analytical skills : you’ll be working closely with our data science team to input cultural and contextual knowledge as they optimise our algorithms and frameworks for new geographies and languages. Familiarity with digital research, social listening, qual and quant research

Strong interpersonal skills : a flexible thinker who thrives in positive, collaborative environments, can work under pressure, and communicates effectively.

Entrepreneurial mindset: constantly innovating ways to frame questions, source data, and build outputs to improve the overall Synthesis products and services.

Advantageous, but not required:

• Fluency in a second language (native level)
• Familiarity working for FMCG, luxury, beauty, tech, media or gaming brands (agency/client side)
• Knowledge of quantitative, statistical and qualitative research techniques and analysis
• Familiarity with programming languages and data visualisation tools: R, Java, Python, Tableau.

About Working Here

We are a diverse team; we value creativity, a ‘plussing’ mindset and collaboration. To help create this, we offer flexible working and a supportive environment. This includes the following benefits:

• Twice yearly, uncapped profit-share bonus scheme—so everyone is collectively rewarded for business success.
• 20 days paid holidays per annum + Public holidays + Whole company paid ‘reading week’ between Christmas and New Year.
• 10:00-15:00 core working hours for meetings, otherwise flexible working.
• No meetings on Fridays, wherever possible, to secure Friday as a focus working day.
• Opportunity to work remotely for up to 4 weeks per calendar year.
• Performance Program to support continuous learning, including an annual conference or language-learning budget, and time allocated for learning and mentorship.
• AIA health insurance and an extra SGD $1000 per annum for health and wellbeing.
• 12 weeks paid maternity leave or 4 weeks paid paternity leave.
• Performance Program to support continuous learning, including an annual conference or learning budget, time allocated for learning and mentorship.