Ekimetrics is a leader in data science and AI-powered solutions. For over 16 years, we’ve pioneered the use of AI and advanced data science applied to unified marketing measurement, holistic business optimization and broad-ranging sustainability goals.

Our goal: Combine high impact solutions with long-term sustainable business purposes.

Ekimetrics Hong Kong office has been awarded the ‘Best Companies to work for in Asia 2023’ award!

Ekimetrics is one of the world’s largest independent analytics firms with offices on 3 continents, and more than 400 data experts. Since 2006, we have led more than a thousand data science projects in over 50 countries, generating more than €1bn in profit for our customers.

Our difference lies in an integrated approach to performance, and in the desire to reaffirm the value of understanding the business model, which we believe is at the heart of transforming data into new business assets. These sentiments are supported by our company values which serve as pillars in our work and attitude: Curiosity, Creativity, Excellence, Transmission, and Pleasure.

Job Responsibilities:

As a Consultant you will be working on challenging projects with international blue-chip clients across diverse industries, on both advanced data analytics and consulting, including meeting with clients and building bespoke solutions to face their challenges. You will be working in teams of 3 to 6 consultants, on 1 to 3 projects simultaneously. 

You’ll be involved in projects from first discovery meetings all the way to final recommendations, gathering and analyzing data, building statistical models, translating quantitative insights into strategic recommendations. You will have the opportunity to be creative and suggest innovative approaches, and well as being pushed to grow into taking ownership of your projects.

You’ll be able to present your results and will be exposed to C-suite clients.

You’ll build expertise on several methodologies and industries and develop an exceptional combination of both technical and business skills. You will be accompanied in your learning process through our training program as well as through coaching and mentoring from colleagues. You will have high exposure to each member of our close-knit team, including the Managing Partner in APAC, who is leading the growth of this entity.

Finally, you’ll have the opportunity to both work for a leader in data analytics and have an impact in a strongly growing entity with high ambitions. Each consultant is highly involved in the challenges we are facing and contributes to our passionate, humble and ambitious team.

Profile:

·       Recent graduates of Bachelors’ or Master’s degree (or equivalent) in Data Science, Statistics, Business Analytics, Economics, Engineering or a related analytical field. Outstanding record of academic achievements.

·       2 to 3 years of experience in Data Science / Data Analysis / Modelling / Advanced Analytics to answer business questions

·       Experience with statistical software such as R, Python, SQL, etc

·       Highly proficient with Office suite (Word, Excel, PowerPoint)

·       Consulting experience or interest in working as a consultant

·       Strong interest in marketing & business issues

·       Excellent communication skills, both written and oral

·       Business level English fluency

·       Proficiency in APAC languages is a plus (Mandarin, Cantonese, Korean, Japanese, etc)

·       Ability to work collaboratively in a team environment

·       Self-motivated, diligent and desire to learn

What you will attain 

·       Attain experience in a global leader of Data Science

·       Onboarding and on-going trainings to support your learning and career development

·       Young & dynamic environment with a strong culture

·       Close-knit team in Hong Kong with a friendly environment, vibrant team events and more

·       Creative and entrepreneurial spirit

·       19 days of annual leave

·       Prime location in Causeway Bay     

Ekimetrics is an equal opportunity employer committed to making all employment decisions without regard to race/ethnicity, gender, pregnancy, gender identity or expression, color, creed, religion, national origin, age, disability, marital status (including domestic partnerships and civil unions), sexual orientation, military veteran status, unemployment status, or other legally protected categories, subject to applicable law.