JOIN EKIMETRICS
Unleash your talent. Build purposeful data solutions.
A world of opportunity awaits at Ekimetrics.
.avif)
WHY EKIMETRICS
Embrace your entrepreneurial spirit
We believe the most complex questions can be answered by a balanced blend of data science and human intelligence. We believe in finding responsible, purposeful solutions to the toughest challenges. And crucially, we believe in having fun while doing it.
Take ownership
Do you have the urge to share your ideas – and the initiative to bring them to life? Do you take ownership of your work and desire to make real, purposeful change? If so, you’re in the right place.
Enrich our community
Everyone has their own unique set of skills, experience, and knowledge. Join a community that inspires each other, as we work together to build purposeful solutions to complex challenges.
Learn and develop
At Ekimetrics, learning never stops. Every day is another opportunity to try something different, develop new skills, and forge your career path at your own pace. Imagine what you could achieve without limitations.
Be yourself with Eki.Life
People. They’re our greatest asset. Each of us have different stories, ideas and dreams. Bring your true self to work, share your interests, and pursue your passions with our thriving social scene.
450+
Eki.People worldwide
4.2/5
Glassdoor score
20+
Nationalities represented
~40%
of all our Eki.People and of our managers are women
Careers
Our talent is yours
Whether you’re tech-focused, business-minded, or both – there’s something for you.
Workplace job diversity:
- Marketing analytics & Data scientists: 65%
- Data engineers & architects : 11%
- Product : 7%
- Enablers : 17%
Testimonials
What our people say
“Update the testimonial quote in the CMS. If this is related to clients, use 'Clients - Testimonials' and 'Careers - Testimonials' if related to Eki employees.”
Main Text
Sub Text
“My role at Ekimetrics is to drive all the transformations that are needed both internally and externally to achieve the best environmental and social performance for our company. Externally, it means transforming our customers. We became a mission-led company in 2023, with very strong social and environmental objectives, particularly with regard to the ethical and responsibility issues surrounding sustainable AI. Internally, it means deploying a whole range of tools to help our employees develop their skills in environmental and diversity issues.”
Chief CSR Officer, London
Caroline
“Having a mix of a technical background as well as a business consulting one has helped me succeed in my role as it allows me to speak the language necessary to work with the more technical client contacts but also those who don’t work with data everyday. It also helps me to lead the teams through all aspects of their work from debugging code through to building actionable and forward-looking business recommendations for our clients.”
Senior Manager, Marketing Analytics, NYC
Angela
“My day typically starts with team standups to discuss tasks and responsibilities for ongoing projects. From there, it's a mix of operational and modeling work, connects with colleagues to discuss methodologies as well as client calls. I address any questions of requests they may have on a daily basis. During project delivery weeks, I lead final results presentations to the client. There's also always a few internal topics to support, from HR activities to supporting team members on other projects if I have the expertise needed.”
Senior Consultant, Marketing Analytics, NYC
Thais
“On a daily basis I process data, build MMM pipelines/models, and develop additional data analyses in an effort to answer our clients most important questions. Some days I get the chance to present these findings directly to clients. The technical skills are quite important, but the ability to apply those skills may be the most important aspect of the job. Being able to hear a client question, answer it with an applicable technical solution, and then translate that solution into an answer applicable to their business is the core competency needed for the job.”
Consultant, Marketing Analytics, NYC
Jacob
“As a data science consultant at Ekimetrics, I get to work on challenging projects with clients from different industries. My day-to-day varies, and it could involve processing data, building models, making analyses, and presenting insights to clients.I work with various tools such as Python and SQL, as well as our internal tools developed by Ekimetrics.”
Senior consultant, Marketing Analytics, Hong Kong
Yun Lin
“I engage in client meetings to grasp their business goals and contribute to strategy sessions. My expertise in data processing, modelling, and analysis leads to actionable recommendations for our clients.”
Junior Consultant, Marketing Analytics, London
Matt
“On a daily basis, I manage my team in analysing complex datasets, developing advanced models and algorithms, and generating actionable insights through data visualization and storytelling. Additionally, I collaborate with clients to understand their business objectives and translate them into analytical projects that drive value and growth.”
Senior Consultant, Marketing Analytics, Hong Kong
Kevin Lam
“I collaborate with my team on projects ranging from Marketing Mix Modelling to Customer Analytics, extracting valuable insights from data and transforming them into actionable intelligence. I also oversee the operations of the Hong Kong office, managing consultants and ensuring efficient execution of our activities.”
Manager, Marketing Analytics, Hong Kong
Qi Wang
“As a Product Manager at Ekimetrics, I coordinate all the product development phases, from discovery, which involves identifying what the customer needs and implementing and validating the product strategy, to delivery, where we develop and test the product, and growth, which involves helping the customer to adopt the solution and continue to improve it. All these phases help to ensure that the product is good from a UX point of view, technically feasible, economically viable, and adapted to the customer’s needs. At Ekimetrics, we design and develop applications centered on data science.”
Product Manager, Paris
Marc
“The Data Engineer role is essential in any data project. We mainly intervene upstream in the data chain to put in place the essential foundations for effective data use. Our main mission is to design and implement the technical building blocks needed to ingest, process, and store data and to ensure that the architecture solution implemented meets the scalability, flexibility, and robustness criteria of a successful data project. At Ekimetrics, we work closely with Data Scientists and the Product team. We’re also in direct contact with customers to gain a better understanding of the nature of their data and their precise needs.”
Manager of Data Engineering & Architecture, Paris
Rania
Get in touch
Think you’d feel at home here?
Oops! Something went wrong while submitting the form.