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    Senior Data Analyst - London, United Kingdom - Geomiq

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    Description

    Senior Supply Chain Data Analyst

    London Hybrid

    At Geomiq, we're inspired every day by our customers and teammates.

    Geomiq is the UK's leading Digital Manufacturing Marketplace. An innovative B2B MaaS (Manufacturing as a Service) platform and Artificial Intelligence (AI) powered system that connect buyers and sellers with unprecedented efficiency.

    Conventional manufacturing is infamously challenging for companies both big and small. We're tackling that head on by making reliable manufacturing methods instantly available to engineers all over the world through our digital platform. Empowering every one of our customers to create revolutionary products faster, Geomiq democratises access to transparent & predictable manufacturing.

    If you're looking for a B2B tech scale-up selling into some of the world's leading brands from BMW, Rolls Royce to Brompton Bikes & Google look no further (we have even supported space missions)

    We are Manufacturing the Future

    About the Team

    A London based tech start-up and a team of entrepreneurs with a proven track record. We are solving our own problem (one we faced every day as engineers) of how difficult it is to order custom manufactured parts via conventional manufacturing, we are on a mission

    Our culture is friendly but incredibly fast paced – we are constantly challenging, testing and adapting the way we do things. We're also really committed to working with integrity, doing the right thing, and building a company we are truly proud of. We're growing super-fast but we also want to make sure that we are building a company on really solid foundations.

    Our Product

    A revolutionary platform that completely digitises the existing process of quoting and ordering of custom manufactured parts whilst ensuring the highest operational and quality outcomes. Our main customers are Design Engineers, Mechanical Engineers and Procurement teams building the world's most innovative products.

    Check out the platform here: , and view a video of the platform in action:

    About the Role

    Here at Geomiq we are looking for a Senior Supply ChainData Analyst to join our Production team. This Senior Data Analyst role will have you utilising your technical skills and industry knowledge to help design the end-to-end data process to help Geomiq scale further and maintain customer satisfaction.

    Key responsibilities:

    • Model Development and Automation:
      • Designing, building, and implementing models that automate the process of data analysis or decision-making.
      • Utilising machine learning, statistical methods, and other analytical techniques to create predictive models, classification models, or other types of automated systems.
      • Developing and optimising data workflows and pipelines, and engineering new data points for comprehensive analysis.
    • Expert Data Warehousing:
      • Demonstrating expert proficiency in managing and manipulating large datasets within a data warehouse environment.
      • Ensuring data integrity, efficiency, and accessibility while also implementing best practices in data warehousing.
    • Data Analysis and Visualization:
      • Analysing complex data sets and presenting the findings in a clear and actionable format for senior management using Power BI tools.
      • Building and maintaining scalable and dynamic dashboards that provide deep insights into marketplace operations.
    • Monitoring and Testing:
      • Conducting tests to evaluate the effectiveness and accuracy of the models.
      • Optimising models based on performance metrics to improve efficiency and outcome.
      • Continuously monitoring the performance of the models to ensure they remain accurate and relevant over time.
      • Updating and refining models as necessary to adapt to new data or changing business conditions.
    • Strategic Problem Solving, and Commercial Acumen:
      • Employ data-driven insights to deliver strategic recommendations by analyzing large datasets to uncover patterns, predict trends, and understand market dynamics. Use this information to design and implement strategies that optimize operations, improve customer engagement, and boost profitability. Additionally, apply a comprehensive understanding of marketplace economics, considering both supply and demand factors, to inform these strategies.
      • Collaborate with cross-functional teams to ensure that insights derived from data align with business strategies and effectively respond to market demands.

    What are we looking for?

    Experience required:

    • Advanced Degree in Data Science, Computer Science, Information Systems, or a related field.
    • Prior experience in supply chain background, preferably within the e-commerce fast-moving consumer goods (FMCG) sector.
    • Experience working in a rapidly growing start-up environment and previous experience leading small teams.
    • Familiarity with Cloud platform, GCP
    • Expertise is setting up and analysing A/B testing
    • Deep expertise in data warehouse technologies such as BigQuery, or similar platforms.
    • Proficiency in SQL, Python, and other data manipulation languages.
    • Knowledge of and understanding Data ETL Process
    • Expertise in PowerBi visualisation and/or similar business intelligence tools.
    • Demonstrated experience in managing large-scale data projects in a dynamic marketplace setting.
    • Strong communication skills to effectively convey complex data to diverse audiences, including senior management.
    • Technical and non-technical reporting to management.
    • Proven analytical skills with an ability to think critically, solve problems creatively, and make data-driven decisions.

    Benefits

    • Competitive salary
    • Stocked Kitchen of snacks, fruit etc
    • 23 days annual leave, not including bank holidays
    • Extra day off for your birthday
    • Monthly Team events
    • Culture of internal progression
    • Cycle to work scheme
    • More to come as we grow
    #J-18808-Ljbffr

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