Business Analyst

Posted 8 Days Ago
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Hiring Remotely in Québec, QC, CAN
Remote or Hybrid
Entry level
Artificial Intelligence • Machine Learning • Business Intelligence • Financial Services • Big Data Analytics • Manufacturing
Skiffra is building the intelligence layer for the physical world.
The Role
Maps end-to-end operational processes, analyzes integrations and data governance, translates business needs into system requirements, and builds dashboards, data pipelines, or workflow tools using SQL, Python, and BI or low-code platforms. The role includes client-site workshops, process ownership, user training, documentation, and collaboration with IT, engineering, and product teams. Fluent French, working English, Montreal-based work, and regular travel are required.
Summary Generated by Built In
About Skiffra

Skiffra is building the intelligence layer for the physical world. We translate complex, real-world environments into clear, actionable data.
While most AI companies focus on digital industries, we design AI native orchestration systems for the sectors that extract, move, and build ecosystems around us. We turn messy, high stakes operations into intelligent, adaptive workflows that improve decisions in real time.
Our first proving ground is mining and natural resources, but the platform is modular by design and built to scale into any industry where decisions are expensive and the consequences are real.

ABOUT THE ROLE.

As Business Analyst, you'll assist with mapping how operations really run. Translating multiple systems into documented processes and system requirements, and turning what you find into tools the client can use.

You'll spend real time at our client site— roughly a week a month, more during intensive mapping phases — learning the work directly from the people who run maintenance, the fleet, the plant, and payroll, in French. The rest of your time you'll be based in Montreal, working with Skiffra's IT, engineering and product team to turn process insight into production tools.

WHAT YOU'LL DO

  • Map and document business processes end to end — maintenance, fleet, plant, supply chain, HR, and finance — in a consistent, build-ready notation such as BPMN.

  • Go on site, run workshops, and surface the gap between how a process is documented and how it actually runs.

  • Quantify the value at stake and turn your analysis into a working tool: a dashboard, data pipeline, or workflow app

  • Establish the financial baseline and post-implementation KPIs for every tool you build — cost, time, and error-rate impact — and maintain a running scorecard so the value of each implementation is provable in dollars, not just described.

  • Analyze integrations between operational and enterprise systems, and specify the data that has to move between them — its owner, its quality, its lineage.

  • Translate operational language into system requirements, and system behaviour back into language the site understands — you are the interpreter between the mine and the technology function.

  • Establish process ownership: every process you document gets a named business owner who signs off and keeps it current.

  • Train client users, hand over ownership, and document what you build.

WHAT YOU'LL NEED

  • Experience in business analysis or business process mapping, ideally with exposure to an industrial, asset-intensive, or mining environment.

  • Working-level SQL and Python, and comfort with a BI or low-code tool.

  • Practical exposure to an ERP — SAP strongly preferred.

  • Comfort running workshops and translating between operational staff and technical teams.

  • Understanding of data governance concepts: ownership, lineage, and quality.

  • Fluent French and working English — the site operates in French; group standards and vendors work in English.

  • Based in Montreal and available to travel regularly to the operation site, on the order of once a month.

NICE TO HAVE

  • Prior exposure to mining, heavy industry, or another asset-intensive operating environment.

  • Experience in a carve-out, post-acquisition, or greenfield environment where documentation had to be created rather than inherited.

  • Familiarity with a modern data platform — lakehouse, lineage tooling, semantic modelling.

  • Time in a startup or founding-stage environment.

À PROPOS DE SKIFFRA

Skiffra est une plateforme d'orchestration native à l'IA pour les opérations industrielles du monde physique, en commençant par le secteur minier et les ressources naturelles. Les données opérationnelles sont aujourd'hui emprisonnées dans les PGI, les historiens de données et les systèmes d'équipement — elles n'atteignent jamais les personnes qui prennent des décisions en temps réel. Nous bâtissons la couche d'intelligence qui change cela, en travaillant directement à l'intérieur des sites et des systèmes de nos clients plutôt que de l'extérieur.

À PROPOS DU POSTE

En tant qu'analyste d'affaires (Business Analyst), vous participerez à la cartographie du fonctionnement réel des opérations. Vous traduirez les données issues de multiples systèmes en processus documentés et en exigences fonctionnelles, tout en transformant vos conclusions en outils exploitables par le client.

Vous passerez du temps sur le terrain, dans les locaux du client — environ une semaine par mois, voire davantage lors des phases intensives de cartographie — pour appréhender le travail directement auprès des équipes responsables de la maintenance, de la gestion de flotte, de l'usine et de la paie, le tout en français. Le reste du temps, vous serez basé à Montréal et travaillerez avec les équipes informatique, ingénierie et produit de Skiffra pour transformer les enseignements tirés des processus en outils de production.

CE QUE VOUS FEREZ

  • Cartographier et documenter les processus d'affaires de bout en bout — entretien, flotte, usine, chaîne d'approvisionnement, RH et finance — dans une notation cohérente et exploitable, telle que BPMN.

  • Aller sur le terrain, animer des ateliers, et faire ressortir l'écart entre le processus documenté et le processus réel.

  • Analyser les intégrations entre les systèmes opérationnels et les systèmes d'entreprise, et spécifier les données qui doivent circuler entre eux — leur propriétaire, leur qualité, leur traçabilité.

  • Quantifier la valeur en jeu et transformer votre analyse en un outil fonctionnel : tableau de bord, pipeline de données ou application de flux de travail, construit en SQL, en Python et avec une couche BI ou low-code.

  • Traduire le langage opérationnel en exigences systèmes, et le comportement des systèmes en langage compris par le site — vous êtes l'interprète entre la mine et la fonction technologique.

  • Instaurer la propriété des processus : chaque processus documenté est doté d'un propriétaire d'affaires désigné qui l'approuve et le tient à jour.

  • Former les utilisateurs du client, transférer la propriété et documenter ce que vous avez construit.

CE DONT VOUS AUREZ BESOIN

  • Expérience en analyse d'affaires ou en cartographie des processus d'affaires, idéalement avec une exposition à un milieu industriel, minier ou à forte intensité d'actifs.

  • SQL et Python à un niveau fonctionnel, et aisance avec un outil BI ou low-code.

  • Exposition concrète à un PGI — SAP fortement souhaité.

  • Aisance à animer des ateliers et à faire le pont entre le personnel opérationnel et les équipes techniques.

  • Compréhension des concepts de gouvernance des données : propriété, traçabilité et qualité.

  • Français courant et anglais fonctionnel — le site fonctionne en français; les normes du groupe et les fournisseurs, en anglais.

  • Basé à Montréal et disponible pour se rendre régulièrement à l'exploitation, de l'ordre d'une fois par mois.

ATOUTS

  • Exposition préalable au secteur minier, à l'industrie lourde ou à un autre milieu à forte intensité d'actifs.

  • Expérience en contexte de scission, d'acquisition récente ou de démarrage, où la documentation devait être créée plutôt qu'héritée.

  • Connaissance d'une plateforme de données moderne — lakehouse, outils de traçabilité, modélisation sémantique.

  • Expérience en contexte de démarrage ou d'entreprise en phase de fondation.

How We Work

We value speed, clarity, and technical rigor. We favor simple systems over clever ones, prototypes over over-planning, and ownership over handoffs. You’ll work directly with founders and ship things that matter quickly.

Location & Work Model

This is a hybrid role with regular in-person collaboration in Los Angeles or the San Francisco Bay Area. We are not a remote-only company.

Work Authorization

Candidates must be authorized to work in the United States. We are not able to offer visa sponsorship for this role.

Benefits & Eligibility

This position is eligible for Skiffra’s standard benefits, including health insurance and retirement plans, and may also qualify for participation in the Company’s bonus and incentive programs.

Equal Opportunity

Skiffra is an equal opportunity employer. We value diversity and do not discriminate on the basis of race, color, religion, sex, gender identity or expression, sexual orientation, age, national origin, disability, veteran status, or any other protected characteristic.

Skills Required

  • Experience in business analysis or business process mapping
  • Working-level SQL and Python skills
  • Comfort with a BI or low-code tool
  • Practical exposure to an ERP; SAP strongly preferred
  • Experience running workshops and translating between operational staff and technical teams
  • Understanding of data governance concepts, including ownership, lineage, and quality
  • Fluent French and working English
  • Based in Montreal and available to travel regularly to the operation site
  • Prior exposure to mining, heavy industry, or another asset-intensive environment
  • Experience in a carve-out, post-acquisition, or greenfield environment
  • Familiarity with a modern data platform, lakehouse, lineage tooling, or semantic modeling
  • Experience in a startup or founding-stage environment
  • Authorization to work in the United States without visa sponsorship
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The Company
3 Employees
Year Founded: 2025

What We Do

We translate complex, real-world environments into clear, actionable data. While most AI companies focus on digital industries, we design AI native orchestration systems for the sectors that extract, move, and build ecosystems around us. We turn messy, high stakes operations into intelligent, adaptive workflows that improve decisions in real time. Skiffra is led by Co-founders George Whitehouse, former head of Digital Transformation at Toyota who rebuilt complex mining operations into integrated, data driven systems, and Andy Smith, Intel and Dolby operator turned GP and 0-to-1 startup builder with more than 40 companies founded, advised, or invested and exits to DigitalOcean, IBM, Assa Abloy, and Cisco. In one recent nine month proof of concept focused on four value centers, the Skiffra team turned a 5 million dollar investment into a sustained 100 million dollar EBITDA lift for the client. Together they combine deep industrial execution with venture scale product discipline to build an AI operating system for mining first, and the wider physical world next.

Why Work With Us

We are well funded, offer best in class benefits and are building our founding technical team to work alongside our co-founders. Our first proving ground is mining and natural resources, but the platform is modular by design and built to scale into any industry where decisions are expensive and the consequences are real.

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