Ekimetrics

Operations

• Support the effective staffing of project teams by coordinating assignments.
• Maintain visibility into team capacity and ensure work readiness across the organization.
• Serve as a key connector between project teams, account managers, and leadership.
• Help balance workloads and monitor utilization trends.
• Prepare reports on utilization, capacity, and resource readiness for leadership review.
• Communicate staffing updates, risks, and changes to appropriate stakeholders.

Operations Manager

Learning and Development

• You will work on a variety of tasks that are operational, analytical and creative:
• Training organization (40%): Plan and coordinate sessions (invitations, reminders, attendance tracking)
• Manage registrations through platforms (LMS)
• Ensure administrative follow-up and compliance
• Tools & data management (40%): Monitor metrics (participation, completion, engagement)
• Consolidate data from various tools (LMS…)
• Update dashboards and contribute to reporting
• Analyze performance and propose corrective action plans
• Learning & content experience (20%): Update catalogs and optimize learning pathways
• Improve the learner experience (navigation, usability)
• Contribute to the creation of learning content (training materials, e‑learning, interactive content)

Learning & Development Apprentice (m/f)

Marketing Operations

• Execute and coordinate multi-channel marketing campaigns aligned with the demand generation strategy
• Own the campaign editorial calendar (email, nurturing, social, landing pages)
• Ensure cross-channel consistency and timing
• Coordinate campaign delivery with internal teams and external agencies
• Ensure campaigns are executed according to plan across channels (paid media, email marketing, social media, landing pages, etc.)
• Manage and execute marketing automation and lifecycle processes within HubSpot
• Build and manage email campaigns and nurturing workflows
• Implement and maintain lifecycle stages and lead scoring logic
• Manage segmentation and targeting
• Ensure proper campaign setup and execution in HubSpot
• Maintain CRM data hygiene and consistency
• Implement campaign tracking and UTM structure
• Ensure consistency of campaign tagging and attribution
• Monitor campaign performance across channels
• Deliver channel-level performance reporting

Campaign & Marketing Operations Associate

Data Scientist

• Contribute to one major or multiple client projects across our suite of MMM/Data science offerings
• Clean and prepare data from multiple sources using Python, R, SQL, Excel, or other tools.
• Conduct analyses related to consumer behaviour, market trends, and campaign performance.
• Build, maintain, and apply statistical and predictive models, including regression, econometrics, Bayesian methods, and Marketing Mix Modelling (MMM).
• Develop dashboards, charts, and visualizations to communicate insights effectively to clients and internal teams.
• Assist in developing marketing strategies and media optimization plans based on model insights.
• Collaborate with teams to produce client deliverables, ensuring accuracy, quality, and timely delivery.
• Participate in client meetings and calls under supervision, helping translate analytical outputs into actionable business recommendations and narratives.
• Collaborate with seniors and managers to define analytical approaches and methodologies
• Support informed decision making by presenting and explaining findings in client delivery meetings and internal workshops
• Share best practices within the team and contribute to knowledge-sharing initiatives.
• Take ownership of your professional development, pursuing certifications and training in analytics, modelling, and programming.
• Actively participate in office meetings, training sessions, and team initiatives.
• Champion and role-model our core values: Curiosity, Creativity, Excellence, Transmission, Pleasure.

Data Scientist, Marketing Effectiveness – MMM

IT Support

• Prove hands-on support for the daily operations and maintenance of Windows 11 device fleet, Microsoft 365 suite, Intune, and Azure services
• Prepare, configure, and deploy computers using Intune and standardized provisioning processes
• Deliver daily end-user support, ensuring timely resolution of technical issues and a high level of customer satisfaction
• Track, document, and manage incidents using the ticketing system while maintaining accurate and up-to-date records
• Monitor hardware inventory and stock levels, ensuring appropriate forecasting and timely replenishment
• Manage relationships with external suppliers and internal stakeholders
• Actively contribute to global IT initiatives including Azure cloud projects and system compliance requirements

IT Administrator – V.I.E Program

Support Engineer

• Provide L1/L2 support for core applications and as‑code components used within the US region.
• Diagnose issues across the full technical stack, frontend, backend, data, cloud infrastructure, and monitoring layers.
• Interact with internal users to understand issues, reproduce scenarios, and drive toward resolution.
• Access and operate within US client production environments while following strict security, compliance, and operational protocols.
• Use the full tech stack (e.g., Kubernetes, Node.js, MongoDB, Angular, RabbitMQ) to identify root causes and escalate to the appropriate engineering teams when necessary.
• Maintain and improve support processes and documentation, building on best practices established globally.
• Partner with Platform Engineering teams to enhance system reliability, scalability, observability, and resource efficiency.
• Troubleshot platform level issues such as pod behavior, resource limits, memory configuration, and deployment workflows.
• Contribute to reducing recurring incidents through proactive improvements in tooling, automation, and platform behavior.
• Collaborate with global engineering teams to ensure alignment across regions.
• Serve as a key technical partner to US delivery teams, helping triage issues and ensuring smooth operations.
• Coordinate with global teams in France and other regions to share learnings, escalate product-level bugs, and contribute to continuous improvement across the engineering organization.
• Work closely with platform and cloud engineering to ensure high performance and resilience across production environments.

Product Support Engineer

• Apply econometrics using data science and AI for business problems.
• Understand clients’ business context and collaborate in a fast-paced environment.
• Work on Marketing Mix Modelling (MMM) and Customer Analytics projects end-to-end, from gathering and analysing data to building statistical machine learning models and delivering presentations.
• Work on 1-3 projects across global markets and industries such as retail, consumer goods, luxury fashion, insurance, banking, private equity, tech partners and many more.
• Contribute to Ekimetrics R&D to support the development of new methodologies and build data Engineering/Architecture capabilities in the office.
• Contribute to Eki.Life culture initiatives, well-being and help drive our CSR commitments

Junior Data Scientist – Marketing Effectiveness

Product Marketing

• As a Product Marketing Associate, you are part of the Marketing Team and work closely with the Product and Sales Teams.
• You lead the planning and execution of our emerging solutions, collaborating cross-functionally with Product teams, Marketing, Sales, and General Managers to ensure alignment of external needs with internal project execution.
• Your role is to secure an impactful solution launch and evolve the solution over time (new targets, new geographies, new features, industry-driven messaging, etc).
• You also contribute to marketing campaigns, sales/marketing/product alignment, events messaging, commercial promotions, sales materials, and sales activation/training.
• Understanding company goals for emerging solutions and translating them into product marketing strategy and execution.
• Defining and managing the go-to-market strategy for our emerging solutions, aligned with the Marketing team, ensuring successful product launches and sustained market growth.
• Conducting market and competitive analysis to inform product positioning and differentiation strategies.
• Partnering with the sales & marketing team to develop and execute marketing initiatives that drive awareness, engagement, and pipeline growth.

Product Marketing Associate – H/F/N

• Resolve L1 and L2 incidents, analyze root causes and identify corrective actions.
• Maintain direct contact with users via the support portal.
• Ensure compliance with SLAs.
• Cover the Europe time zone and ensure clear, professional, and structured communication.
• Handle critical incidents requiring advanced expertise.
• Prepare and hand off cases to development teams when necessary.
• Manage sensitive escalations in coordination with leadership.
• Define and maintain the support operating model: processes, standards, tools, templates, severity and priority rules.
• Implement foundations for automation and observability (alerts, dashboards, diagnostics).
• Define communication standards for major incidents (tone, frequency, channels).
• Build continuous improvement loops with Product and Engineering teams.

Support Engineer – M/F/N

QA Engineer

• Join a Product team and strengthen the quality control processes
• Play a key role in the reliability and performance of data & AI solutions
• Develop and maintain automated test suites (Playwright, TypeScript)
• Define and execute comprehensive test strategies: functional, regression, exploratory
• Identify edge cases and improve product robustness
• Implement QA tools and frameworks to industrialize practices

QA Engineer – M/F/X

Data Engineer

• Design, develop and maintain scalable data pipelines (ingestion, transformation, ETL).
• Automate data quality checks and data validation processes.
• Optimize storage, query performance, and infrastructure costs.
• Work closely with AI teams to feed training pipelines, feature stores and deployment workflows.
• Collaborate with Product, QA, Design and Software Engineering teams to understand requirements and deliver robust, actionable solutions.
• Define and enforce standards for data governance, metadata management and data lineage.
• Ensure data integrity, security and compliance.
• Participate in engineering rituals (code reviews, design discussions, incident response).
• Identify and fix defects and performance issues.
• Clearly document developments and propose technical improvements.
• Contribute to recruitment and the upskilling of junior profiles.
• Take part in office life and internal initiatives.