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Data Analyst

Stanton House
Posted 6 hours ago, valid for 11 days
Location

London, Greater London EC1R 0WX

Salary

£55,000 - £66,000 per annum

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Contract type

Full Time

In order to submit this application, a Reed account will be created for you. As such, in addition to applying for this job, you will be signed up to all Reed’s services as part of the process. By submitting this application, you agree to Reed’s Terms and Conditions and acknowledge that your personal data will be transferred to Reed and processed by them in accordance with their Privacy Policy.

Sonic Summary

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  • The job is for a Data Scientist on an ongoing contract with hybrid working options based in West London, offering a competitive day rate.
  • Candidates should have 2-3 years of experience in complex database environments, particularly with SQL and BigQuery.
  • The role involves building operational datasets, performing forecasting tasks, and driving business decisions through data insights.
  • Proficiency in Google Cloud Platform (GCP) is required, along with a commercially minded approach to operational challenges.
  • While experience in the energy sector is a bonus, the focus is on finding a skilled professional who excels in technically complex environments.
  • Data Scientist

    Ongoing Contract

    Hybrid Working from their West London offices (can be fully remote outside of London)

    £Competitive Day Rate

    About Us

    We working with a forward-thinking sustainable energy company committed to reducing global carbon footprints through innovation and data-driven solutions. Their team works at the intersection of technology and sustainability, and we're looking for a dynamic Data Scientist to join them on their mission to optimize energy solutions for a greener future.

    About the Role

    We are seeking a Data Scientist with 2-3 years of experience working in complex database environments to focus on SQL data manipulation and operational analytics. The role will require building operational datasets, performing forecasting tasks across key metrics, and driving business decisions through data insights.

    The ideal candidate will bring expertise in Google Cloud Platform (GCP), particularly BigQuery, and have a commercially minded approach to solving operational challenges. While energy sector experience is a bonus, it's not required-we are more interested in finding a skilled and adaptable professional who thrives in technically complex environments.

    Key Responsibilities

    • Develop and maintain operational datasets to support business processes and decision-making.
    • Perform SQL-based data manipulation and advanced analytics on large and complex datasets.
    • Design, implement, and optimize data pipelines using BigQuery and other GCP tools.
    • Build and refine forecasting models for operational metrics such as resource utilization and demand trends.
    • Collaborate with business and technical teams to ensure data solutions align with commercial objectives.
    • Present data insights and actionable recommendations to both technical and non-technical stakeholders.
    • Proactively identify opportunities to streamline operations through data-driven strategies.

    Qualifications and Experience

    • 2-3 years of hands-on experience in complex database environments, with expertise in SQL and BigQuery.
    • Proficiency with Google Cloud Platform (GCP), including tools like Cloud Storage, Dataflow, and BigQuery.
    • Strong background in operational analytics and experience building scalable datasets for business use.
    • Knowledge of statistical modeling, forecasting, and machine learning concepts.
    • Proficiency in programming languages such as Python or R for data analysis and automation.
    • Commercially minded with the ability to balance technical precision and business needs.
    • Excellent problem-solving and communication skills.

    Nice-to-Haves:

    • Experience working in the energy or sustainability industries.
    • Familiarity with data visualization tools like Tableau, Looker, or similar.
    • Knowledge of time-series forecasting and analysis.
    • Exposure to other GCP tools such as Cloud Functions or Pub/Sub.

    What We Offer

    • Competitive salary and benefits.
    • Opportunities to directly contribute to global sustainability efforts.
    • Flexible remote/hybrid working arrangements.
    • Support for professional development and certifications.
    • A collaborative, mission-driven environment where your contributions make an impact.

Apply now in a few quick clicks

In order to submit this application, a Reed account will be created for you. As such, in addition to applying for this job, you will be signed up to all Reed’s services as part of the process. By submitting this application, you agree to Reed’s Terms and Conditions and acknowledge that your personal data will be transferred to Reed and processed by them in accordance with their Privacy Policy.