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JOIN EKIMETRICS

Unleash your talent. Build purposeful data solutions.

A world of opportunity awaits at Ekimetrics.

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%

Operations

Be a part of the engine that drives our operations, solves our clients’ challenges, and helps our team deliver solutions that drive change and transformation.

Marketing Analytics

Apply your knowledge of econometrics, economics, statistics, applied mathematics and strategy to optimize Marketing Mix Modeling for our clients.

Data science and AI

Be one of our brightest minds with your expertise in statistics, knowledge of machine learning, and understanding of artificial intelligence.

Sustainability

Pioneer future-proof solutions, impart your wisdom, and give great advice to our clients to help solve their environmental, social, and governance challenges.

Data engineering and architecture

From data architects to engineers – help build the secure, scalable and resilient foundations that contribute to our clients’ transformation.

Product

Join the team that develops in-house data and AI solutions such as One.Vision to enable our clients to optimize critical decisions and workflows.

Enablers

Support critical operations and enable our growth in a sales, marketing, finance, accounting, administration, IT, legal, or HR role.

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.
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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
We're hiring

Find a career

Junior Consultant, Strategy & Data Science

Office
Shanghai

Manager in Marketing Analytics

Hybrid
New York

Manager, Marketing Mix Modelling (MMM)

Hybrid
London
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