Chapter Lead Data Analytics

Artefact

WHO WE ARE Artefact is a French consulting and engineering firm specializing in data and AI, and a leader in Europe. Headquartered in Paris, we are now present in 23 countries across all continents, with a team of 1,700 employees. Our mission is to help businesses unlock the full potential of AI and data by developing tailor-made solutions that address their specific industry challenges. As pioneers in this field, we combine technological expertise with operational excellence, working alongside the world's leading market players. Our clients span all key economic sectors - industry, retail, luxury, consumer goods, healthcare, and finance - and include major international corporations. THE DATA ANALYTICS TEAM You will join our Data Analytics Chapter, a team of 60 professionals with expertise across dashboarding, analytics engineering, marketing measurement, and low-code data science. We are one of three technical teams at Artefact (alongside Software Engineering and Data Science), forming a tech community of 160 people. Despite working on different client engagements, we maintain a strong culture of knowledge sharing through dedicated communities of practice. We are growing fast, with the ambition to double our team size over the next five years.   WHAT YOU WILL BE DOING: KEY RESPONSIBILITIES As a Data Analytics Manager, your role will encompass: Deliver the highest standards of quality on Data marketing projects * Pilot multidisciplinary teams (consultants, data scientists, data analysts, software engineers, media traders) * Develop robust, industry-leading measurement and analytics projects that enable clients with visibility across physical and digital customer journeys (online and offline) * Planning, leading and delivering advanced analytics strategy and solutions for clients including e-commerce, 3rd party tool implementations, and advanced modeling. * Identify and support the delivery of suitable statistical data analysis techniques, to provide recommendations for clients which exceed performance expectations and maximizes ROI * Explore automation techniques that create efficiencies and improve ROI (both internally and for clients) such as scripting, tool development or better client reporting methods * Act as an internal consultant on analytics for significant projects, helping other teams to shape the very best solutions * Lead through the ‘pitch ownership’ and by taking an ‘analytics lead’ role on new business pitches Data Marketing and Analytics leadership * Lead data analytics development, defining and communicating a clear strategy for the team and the value it will add to the agency * Work together with the data consultants to champion analytics development and associated platforms on three fronts – internally to the agency, externally to clients and to represent Artefact’s position to the wider marketing community * Lead and develop roadmaps for our analytics offering, process, and techniques and develop best practice documentation * Develop review and sign off processes to ensure analytics work is always of the highest possible quality * Responsible for Artefact being known as exceptional in analytics in the wider market. Actively seek to build Artefact’s profile within the digital marketing community.  QUALIFICATIONS: EDUCATION & EXPERIENCE REQUIRED CORE REQUIREMENTS * 5+ years of hands-on experience in a data-driven environment. * Strong expertise in at least one of the following domains:        ◦  Dashboarding & Data Visualization: Power BI, Looker, Tableau, or Superset.        ◦  Analytics Engineering: dbt, with experience on BigQuery, Snowflake, or Databricks.        ◦  Marketing Analytics & Measurement: CDP platforms (Treasure Data, Hightouch, Tealium), MMM, attribution, clean rooms.        ◦  Low-Code / No-Code Data Science: Dataiku, Copilot Studio, or similar platforms. * Solid foundation in SQL and Python. * Familiarity with Git and software engineering fundamentals (versioning, testing, code quality). * Experience working in cloud environments (GCP, Azure, or AWS). NICE TO HAVE Experience with generative AI applied to analytics (MCP for BI, conversational data interfaces), exposure to multiple domains above, knowledge of statistics and machine learning fundamentals. Beyond technical expertise, we value: intellectual curiosity, pragmatism and creativity, ability to bridge business and technical teams, autonomy and reliability, and clear communication to build client trust. OUR RECRUITMENT PROCESS 1. HR call 2. Technical Interview 3. Use Case Interview 4. Fit Interview   At Artefact, we recruit our employees only on the basis of our needs and the individual qualities of each candidate. We ensure the development of their professional skills and responsibilities without discrimination of any kind, including belief, gender, age, disability, ethnic origin, sexual orientation, membership of a political organization, religion, trade union or minority group.

VOLVO BUSINESS SERVICES AKTIEBOLAG

Company description: Our headquarters are in Gothenburg, Sweden. Volvo Group shares are listed on Nasdaq Stockholm." Job description:  Transport is at the core of modern society. Imagine using your expertise to shape sustainable transport solutions for the future? If you seek to make a difference on a global scale, working with next-gen technologies and the sharpest collaborative teams, then we could be a perfect match.   Your future team You will join the Data Science team composed of 35+ Data scientists and Machine Learning Engineers. You will work in an international environment, collaborating with colleagues across disciplines to deliver end-to-end data and AI products used globally. You will report to the Chapter Lead France or Sweden (depends one where you’ll be located). The AI Solution Engineer position will be located in Lyon or in Gothenburg and we are looking for several profiles in both locations. All positions are permanent contract in both locations.   What you will do At Volvo Group Digital Technology & Operations (DTO), you will contribute to the transformation of our company, the transport industry and society at large. In this role, you will enable the engineering of production-grade machine learning solutions, from understanding real business needs to industrializing, operating, and continuously improving ML and AI products at scale. You will collaborate with international stakeholders and product teams across Volvo Group domains, and take ownership of key technical decisions, architecture, and lifecycle management, including CI/CD, service deployment, orchestration, containerization, MLOps and model serving, while ensuring solutions align with security, governance, and regulatory requirements.    Who are you? Do you dream big? We do too, and we are excited to grow together. In this role, you will bring: Essential requirements  •    Strong programming skills with Python•    Hands-on experience with cloud engineering and platforms such as AWS, Azure, Google Cloud•    Solid experience with containerization and orchestration tools (e.g. Docker, Podman, Terraform)•    Strong experience with CI/CD (e.g. Azure Pipelines, Github Actions), deployment strategies, and git branching practices.•    Strong understanding of data science, machine learning and AI, including mathematical statistics•    Experience with microservices architecture and API development Nice to have•    Master key aspects of data science, machine learning and AI, including mathematical statistics•    Deep experience with LLMs, including retrieval, prompt engineering, evaluation, safety and cost performance tuning•    Experience delivering ML and AI in regulated environments with governance and audit requirements•    Domain experience with vehicle data, diagnostics, telematics, or quality and warranty analytics•    Leadership experience such as owning ML products end to end, mentoring, or leading practitioner communities   What’s in it for you?We offer a solid package of compensation and benefits, plus you will enjoy:•    A role where you can create measurable impact through Data and AI, including contributions to sustainability goals•    A collaborative, international community with 900+ data colleagues across seven countries•    Strong opportunities to grow through global, cross-functional work and end-to-end product ownership•    A culture that values openness, diversity in expertise and perspective, and co-creation   Ready for the next move?If you want to make a real impact in your career, the transportation business is where you want to be. We look forward to meeting you.   Swedish Union representatives:•    Akademikerna – Mikael Johansson, +46 73 902 34 30•    Unionen – Lajla Dahlsjö, +46 31 322 45 75•    Ledarna – Carina Sachade, +46 73 902 40 83 Last application date: 01 August 2026 We review applications and interview candidates on a rolling basis, so do not wait to apply. Please note that, due to the summer holiday period, our recruitment process may take a little longer than usual. We appreciate your patience and will get back to you as soon as possible. We value your data privacy and therefore do not accept applications via mail. In some countries and specific positions, background checks may be required, in accordance with local laws and regulations. If this is applicable to the role you have applied for, you will be informed.   Who we are and what we believe inWe are committed to shaping the future landscape of efficient, safe, and sustainable transport solutions. Fulfilling our mission creates countless career opportunities for talents across the group’s leading brands and entities.Applying to this job offers you the opportunity to join Volvo Group. Every day, you will be working with some of the sharpest and most creative brains in our field to be able to leave our society in better shape for the next generation. We are passionate about what we do, and we thrive on teamwork. We are almost 100,000 people united around the world by a culture of care, inclusiveness, and empowerment. Volvo Group Digital Technology & Operations (DTO) is a new division established to integrate the capabilities of VG Digital & IT and VG Connected Solutions to accelerate the digital transformation in Volvo Group. The organizational set up is structured around domains, digital products with functions for digital excellence to deliver outstanding customer experience.

Smartsheet

For over 20 years, Smartsheet has empowered teams to manage work seamlessly and scale solutions smarter. Now, in our most ambitious chapter yet, we are uniting human teams with AI agents. By orchestrating the work agents do best, automating manual tasks and uncovering insights at scale, we create the space for people to focus on what truly matters: judgment, creativity, and big thinking. That is magic at work, and it’s what we show up for every day. Smartsheet is hiring a Senior Analytics Engineer to lead the way in data-driven decision-making. You will be responsible for the creation and maintenance of a governed, reliable, and scalable analytics system, transforming raw data into usable datasets for DS/ML, analytics, and reporting.  A key aspect of this role is leading the architecture and implementation of efficient data transformation systems within Snowflake, fostering data democratization and impacting business outcomes. Working closely with BI analysts and Data scientists, you will ensure data accessibility and drive activation on critical customer-facing platforms. This full-time position reports to the Director of Analytics Engineering and is based in Smartsheet’s corporate offices in Bengaluru, India. You Will: * Leading the implementation of efficient and scalable systems that optimize data transformations from our data lake in Snowflake into clean, documented data products.  * Contribute to the design standards and architectural principle standards, designs and processes. * Build and maintain a governed, robust, reliable, and scalable analytics system (DW/DV). * Collaborating with BI analysts and data scientists to provide proper data accessibility guidelines. * Foster data democratization via activation of data on critical platforms like Smartsheet platform, Amplitude, Thoughtspot , Gainsight. * Create and contribute to frameworks that improve data quality and observability to identify and resolve issues faster. * Create and implement data testing plans, encompassing data validation, data quality assessment, and regression testing, to identify anomalies, inconsistencies, or errors in produced datasets. * Mentor and guide teams and help drive high standards across the team by conducting design reviews and engineering ideation forums. * Collaborate with cross-functional teams to assess data privacy needs and define data masking strategies aligned with industry compliance standards (e.g., GDPR, HIPAA, CCPA). You Have: * 6+ years of experience in advanced data modeling using Data Vault (DV 2.0), dbt, and Snowflake. * Proven experience in building analytics systems with data transformation, dependency, and workload management (Data Vault, AutomateDV, dbt core, Airflow, Snowflake, GitLab, SQL). * Proven experience with building and maintaining business analytics layers and semantic layers to enable self-service for non-technical end-users. * Strong production experience supporting and maintaining analytics/data warehouse solutions with mission-critical datasets. * Familiarity with data governance principles for maintaining datasets to enable a single source of truth. * Familiarity with self-serve product analytics tools (Amplitude, Thoughtspot, Tableau, Gainsight, etc.). * Knowledge of code management and CI/CD practices (GitLab, Airflow, Snowflake, Terraform). * Familiarity with AWS solutions such as S3, EC2, VPC.   Get to Know Us: At Smartsheet, your ideas are heard, your potential is supported, and your contributions have real impact. You’ll have the freedom to explore, push boundaries, and grow beyond your role. We welcome diverse perspectives and nontraditional paths—because we know that impact comes from individuals who care deeply and challenge thoughtfully. When you’re doing work that stretches you, excites you, and connects you to something bigger, that’s magic at work. Let’s build what’s next, together. Equal Opportunity Employer: Smartsheet is an Equal Opportunity (EEO) employer committed to fostering an inclusive environment with the best employees. It is our policy to provide equal employment opportunities to all qualified applicants in accordance with applicable laws in the US, UK, Australia, Germany, Costa Rica, Japan, Bulgaria, India, and Singapore. All qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran or disabled status, or genetic information.  If there are preparations we can make to help ensure you have a comfortable and positive interview experience, please let us know.   #LI-Remote