Seeq builds advanced analytics software that unlocks insights from industrial process data—empowering companies in sectors like pharmaceuticals, oil & gas, chemicals, and power generation to optimize operations and drive business value. As a remote-first company since our founding, we’re built for collaboration across time zones. Our engineering and customer-facing teams thrive in a supportive, agile environment that emphasizes curiosity, learning, and continuous improvement. Analytics Engineers at Seeq serve as trusted technical advisors to our customers, helping them solve complex process challenges and maximize value from our software. You’ll work directly with end users to design scalable, high-impact analytics solutions that drive engagement, adoption, and tangible business outcomes. Key Duties & Responsibilities: As a key customer-facing team member, you will participate in the following activities:  Customer Technical Adoption  - Serve as the customer’s trusted technical advisor by building relationships with champions and end-users through solution design, implementation guidance, and technical mentorship. - Leverage customer relationships to perform constant discovery and uncover high-value, high-impact use case opportunities directly linked to the customer’s critical business workflows and objectives. - Collaborate with the customer and account team to develop and execute strategic plans for adoption of Seeq and completion of key use cases addressing business objectives. - Advise customer champions and end-users to implement and operationalize the use cases to deliver a high return on investment for the customer. Occasionally may require hands-on delivery to accelerate a customer’s high value use case. - Upskill Seeq’s partner ecosystem to be an extension of the Analytics Engineering team to provide support globally and in localized languages.  Product Expertise  - Be a product expert, maintaining knowledge of how to implement and troubleshoot solutions in the platform, including integrations with other systems. - Identify gaps in Seeq's capabilities required to meet customer needs and give feedback to the product organization to influence the product roadmap. - Ability to assess and position Seeq’s benefits relative to competitive products in the marketplace or in the customer’s ecosystem. - Work with the product team to design, implement, and test new functionalities that meet customer needs.  Industry Expertise  - Build trust with customers through the application of industry-specific knowledge and awareness, including market and use case trends specific to their area.  Collaborate with internal teams (including industry principals, product marketing, and solution consulting) to influence industry-specific strategy.

Role Description Analytics Engineers at Seeq serve as trusted technical advisors to our customers, helping them solve complex process challenges and maximize value from our software. You’ll work directly with end users to design scalable, high-impact analytics solutions that drive engagement, adoption, and tangible business outcomes. - Customer Technical Adoption: - Serve as the customer’s trusted technical advisor by building relationships with champions and end-users through solution design, implementation guidance, and technical mentorship. - Leverage customer relationships to perform constant discovery and uncover high-value, high-impact use case opportunities directly linked to the customer’s critical business workflows and objectives. - Collaborate with the customer and account team to develop and execute strategic plans for adoption of Seeq and completion of key use cases addressing business objectives. - Advise customer champions and end-users to implement and operationalize the use cases to deliver a high return on investment for the customer. Occasionally may require hands-on delivery to accelerate a customer’s high value use case. - Upskill Seeq’s partner ecosystem to be an extension of the Analytics Engineering team to provide support globally and in localized languages. - Product Expertise: - Be a product expert, maintaining knowledge of how to implement and troubleshoot solutions in the platform, including integrations with other systems. - Identify gaps in Seeq's capabilities required to meet customer needs and give feedback to the product organization to influence the product roadmap. - Ability to assess and position Seeq’s benefits relative to competitive products in the marketplace or in the customer’s ecosystem. - Work with the product team to design, implement, and test new functionalities that meet customer needs. - Industry Expertise: - Build trust with customers through the application of industry-specific knowledge and awareness, including market and use case trends specific to their area. - Collaborate with internal teams (including industry principals, product marketing, and solution consulting) to influence industry-specific strategy. Qualifications - Bachelor's degree (or equivalent experience) in a technical field such as chemical, mechanical, electrical, or industrial engineering; degrees in operations research, data analytics, or applied math will be considered. - Minimum of 7 years of experience in process engineering, reliability engineering, technical pre-sales engineering (SaaS business, OT space preferred), or other related industry fields. - Deep technical expertise in one or more industrial process manufacturing verticals and a sound understanding of broad market drivers and business priorities. - Empathy with and experience in the difficulties involved in trying to solve real-world business and industrial challenges involving dense time-series process data with inadequate or overly complex analytics tools, such as Excel, MATLAB, Python, BI tools, or otherwise. - Responsive and adept at building trust and rapport with customers, prospective customers, partners, and internal multidisciplinary teams. - Effective and influential technical communicator. Enjoys dissecting, articulating, and translating a combination of customer-stated and customer-implied needs. - Creative ability to develop and propose technical solutions leveraging the latest features and capabilities in the software and broader technology landscape. - Ability to independently prioritize work based on account team strategy, customer business needs, and Seeq company objectives. - Prior experience using Seeq is highly preferred. - Python programming skills is a plus. - Broad knowledge of the SaaS industrial analytics ecosystem is a plus (e.g., Azure, AWS, Databricks, AVEVA, Aspen Tech, IOTA, Cognite, C3.ai, Palantir, etc.). Benefits - Competitive salary plus bonus incentives - $145,000 USD base salary - 12-week paid Seeq family leave - Unlimited PTO - Internet and mobile phone reimbursements - Medical benefits - Group term life insurance - Short-term and long-term disability insurance pre-tax benefits - Voluntary vision and dental (ortho) - Vacation bonus program - Employee Assistance Program - Generous home office allowance - The best co-workers (we've analyzed the data, so we know it's true.) - Pet-friendly workspace (your dog will be so happy to have you home) - You love your job!

• Coordinate with different teams to understand business needs and propose the best data modeling solutions; • Translate business concepts into quantitative metrics (KPIs, OKRs, etc.); • Model and architect data for analytical purposes following best practices, including data quality and documentation; • Orchestrate workflows related to data pipelines.

Tous nos postes sont ouverts au télétravail. Rejoindre Deloitte, c'est dire oui à une expérience qui a du sens, celle où les rencontres et les missions vous poussent à grandir chaque jour. C’est évoluer dans un environnement de travail fondé sur la confiance, la transmission et l’intelligence collective pour construire l’avenir de nos clients. Un avenir que nous voulons plus responsable, plus durable et respectueux de l’environnement en prenant des initiatives concrètes à notre échelle. Nous rejoindre, c’est aussi dire oui à une entreprise Great Place to Work, attachée au bien-être, et à l’inclusion sans distinction de nos collaborateurs. Et vous, prêts à dire #ISayYes à votre futur chez Deloitte ? L'activité STeeR de Deloitte accompagne ses clients dans la réalisation de leurs projets stratégiques en vue d'améliorer leurs performances financières et organisationnelles. Quel sera votre rôle dans la #TeamDeloitte ? Vous intégrez notre équipe Data & Analytics tant que Consultant Expérimenté pour intervenir sur des missions variées visant à accompagner nos clients dans les projets de transformation data, Deals Analytics et l'analyse de données. A ce titre, vous occuperez les responsabilités suivantes : - Compréhension et prise en main rapide des besoins du client ; - Rédaction des spécifications techniques en se basant sur les besoins métiers - Développement de solutions Data & Deals Analytics ; - Respect des normes et bonnes pratiques de développement ; - Assurer le support, la maintenance évolutive et corrective des solutions; - Rédaction des procédures techniques et la description des incidents/problèmes et leur résolution ; - Reporter au manager l’état d’avancement des travaux, remonter les risques, alertes et proposer des solutions et plans de remédiation. Vous grandissez au sein d’une équipe où se mêlent pluridisciplinarité, expertise pointue, esprit d'entreprendre et forte cohésion. Tout au long de votre expérience vous développez et renforcez un set de compétences grâce aux programmes de formations proposés (R, Python, GIT, Azure, Tableau, Snowflake, Databriks, OpenAI, MLOps …). Et si c’était vous ? - Diplômé(e) d’une grande école d’ingénieurs d’état, Master 2 avec une spécialité autour d’une discipline DATA (Big Data, BI, Data Science…) ou d’un Master 2 d’ingénierie économique / économie ou économétrie appliquée. - Vous disposez d’une expérience de 2 à 4 années dans un cabinet de conseil ou d’expertise économique dans le domaine de l’antitrust ou au sein d’un service économique d’une autorité de concurrence ou d’une autorité de régulation. - Bonne connaissance de R, Python, GIT et SQL - Expérience dans le développement autour des solutions et des outils Data, Analytics & AI tel que R Shiny, Power BI. - Connaissance en gestion des projets et des méthodologies de delivery. - Excellentes capacités de communication orale et bonne maîtrise de l’anglais à l’écrit et à l’oral. - Solides capacités rédactionnelles sur le plan technique. - Maîtrise de PowerPoint, Word, Excel. Poste basé à Paris La Défense.