Strategist

**Synthesis x Junior 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 Estee Lauder Company. 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, a fair for working collaboratively and finding 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**:

- Storytell robust consumer insights and strategies, 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**
- 3 year experience working in brand strategy or digital marketing role
- **Curiosity and creativity **in transforming data into memorable output and 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, is able to work under pressure, and communicate 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, Tablea.

**About Working Here**

We are a diverse team, we value creativity, ‘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 meeting Friday, 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, time allocated for learning and mentorship.
- AIA health insurance and the 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.