Data Analyst (Permanent)

Data Analyst (Permanent)

London Full-Time 36000 - 60000 Β£ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Join our Data Science Team to analyse and model data for trading operations.
  • Company: PetroChina International is revolutionising trading with cutting-edge data technology in London.
  • Benefits: Enjoy a competitive salary, private medical insurance, gym membership, and up to 30 days holiday.
  • Why this job: Be part of an innovative team using AI/ML to drive efficiency in trading.
  • Qualifications: Bachelor's degree in a relevant field and experience in data analysis, Python, and SQL required.
  • Other info: This is a full-time, hybrid role based in Charing Cross, London.

The predicted salary is between 36000 - 60000 Β£ per year.

Department: Analysis

Location: London, UK

PetroChina International (London) / Petroineos Trading Limited is building first class data driven trading capacity. Leveraging our advanced big data infrastructure together with GenAI, we seek to empower our trading venture through the creation of sophisticated, automated AI/ML models and seek a Data Analyst to support us.

These models are designed to not only streamline and amplify our trading operations but also to optimise the management of our physical assets. Reporting to the Head of Data Analysis, we are on the lookout for a proficient individual to join our dynamic Data Science Team on a full-time, permanent contract basis. This role offers the opportunity to engage with state-of-the-art technology within the stimulating environment of front office trading.

As a collaborative member of the Data Team, your role will encompass the procurement, examination, and modelling of data to drive innovation and efficiency in our business processes. Therefore, the successful candidate will possess excellent data analytical, communication and interpersonal skills, with the ability to interact effectively with a diverse range of stakeholders. Attention to detail, discretion, and the ability to assess market trends and make data-driven decisions are essential qualities for this role.

Key Responsibilities

  • Data Acquisition and Quality Assurance: Secure data from both primary and secondary sources, followed by rigorous testing and monitoring to ensure data integrity.
  • Data Preparation and Modelling: Execute thorough data cleansing and pre-processing. Prepare datasets for both prescriptive and predictive modelling to support decision-making processes.
  • Data Analysis and Pattern Recognition: Conduct comprehensive data analysis to uncover and interpret trends within datasets.
  • Visualization and Business Intelligence: Create insightful data visualizations and business intelligence dashboards utilizing SQL and PowerBI, facilitating informed business strategies.
  • Collaborative Model Development: Partner with data scientists to construct scalable AI and ML models, contributing to the advancement of our analytical capabilities.
  • Data Governance: Adhere to stringent data governance protocols to maintain high standards of data quality and security.
  • Project Ownership: Assume full responsibility for assigned projects, encompassing requirement elicitation, solution design, development, and the maintenance of industrialized solutions.

What we’re looking for / Skills that will help you in the role

  • Ideally a bachelor's degree in Computer Science, Data science, Maths, or a degree in a related and/or relevant field.
  • Previous professional work experience in data analysis (is advantageous).
  • Good analytical skills with attention to detail.
  • Good hands-on experience with Python Programming language (essential).
  • Good hands-on experience with Pandas or Spark Dataframes (essential).
  • Prior experience with SQL.
  • Sound experience with reporting platform such as PowerBI.
  • Proven work experience with structured, semi-structured, and unstructured data.
  • Previous experience working with databricks technology (nice to have).
  • Excellent experience with Data Warehousing.
  • Prior experience working in a hybrid cloud environment.
  • Sound experience in developing and supporting analytical models/tools.

Please note: This is a full-time, permanent position with the job based in Charing Cross, London. The role is available to be worked in a hybrid capacity of 4 days in the office / 1 day from home.

What you get in return

This role offers a competitive salary (commensurate with experience), plus a comprehensive benefits package including Insurance coverage; Private Medical (for self and family); Travel (for self and family); Dental (for self); Life Assurance, Gym membership, Pension contributory by the Company, up to 30 days holiday allowance per annum rising after service (in addition to bank holidays), discretionary performance related bonus and more.

Interested?

If the role sounds like you, we invite you to upload a copy of your CV by clicking on the Apply button.

Start Date: ASAP

Strictly No Recruitment Agencies; any submission of CV’s without prior request/ engagement from Petroineos will not be deemed as an introduction and therefore will not warrant an introduction fee.

For all job applicants looking to join us, please note Petroineos / PetroChina does not ask for fees prior/during/after the application process. We do not ask for banking details or personal financial information in return for the assurance of employment. Always apply through our Jobs on our Careers site, LinkedIn or a site which links back to our Jobs and Careers site for you to apply.

Data Analyst (Permanent) employer: Petroineos Trading Limited

PetroChina International (London) / Petroineos Trading Limited is an exceptional employer, offering a dynamic work environment in the heart of London where innovation meets collaboration. With a strong focus on employee growth, we provide access to cutting-edge technology and a comprehensive benefits package, including private medical insurance, gym membership, and generous holiday allowances. Join our Data Science Team to not only advance your career but also contribute to pioneering data-driven trading solutions in a supportive and inclusive culture.
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Contact Detail:

Petroineos Trading Limited Recruiting Team

StudySmarter Expert Advice 🀫

We think this is how you could land Data Analyst (Permanent)

✨Tip Number 1

Familiarise yourself with the specific tools and technologies mentioned in the job description, such as Python, Pandas, SQL, and PowerBI. Having hands-on experience with these will not only boost your confidence but also demonstrate your readiness for the role.

✨Tip Number 2

Engage with online communities or forums related to data analysis and trading. Networking with professionals in the field can provide insights into the company culture and expectations, which can be invaluable during interviews.

✨Tip Number 3

Prepare to discuss real-world examples of how you've used data analysis to drive decision-making. Be ready to explain your thought process and the impact of your work, as this will showcase your analytical skills and problem-solving abilities.

✨Tip Number 4

Research PetroChina International and Petroineos Trading Limited to understand their business model and recent developments in the industry. This knowledge will help you tailor your responses and show your genuine interest in the company during the interview.

We think you need these skills to ace Data Analyst (Permanent)

Data Analysis
Attention to Detail
Python Programming
Pandas
Spark Dataframes
SQL
PowerBI
Data Visualisation
Data Governance
Data Acquisition
Data Cleansing
Predictive Modelling
Analytical Skills
Interpersonal Skills
Project Management

Some tips for your application 🫑

Tailor Your CV: Make sure your CV highlights relevant experience and skills that align with the Data Analyst role. Emphasise your proficiency in Python, SQL, and data visualisation tools like PowerBI.

Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data analysis and your understanding of the trading industry. Mention specific projects or experiences that demonstrate your analytical skills and attention to detail.

Highlight Relevant Projects: Include any relevant projects in your application that showcase your ability to work with structured, semi-structured, and unstructured data. Discuss your experience with data cleansing, modelling, and visualisation.

Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any spelling or grammatical errors. A polished application reflects your attention to detail, which is crucial for a Data Analyst role.

How to prepare for a job interview at Petroineos Trading Limited

✨Showcase Your Analytical Skills

Prepare to discuss specific examples of your previous data analysis projects. Highlight how you approached data acquisition, cleansing, and modelling, as well as the tools you used, such as Python and SQL.

✨Demonstrate Your Technical Proficiency

Be ready to talk about your hands-on experience with Pandas, Spark Dataframes, and PowerBI. Consider preparing a small portfolio or examples of visualisations you've created to illustrate your capabilities.

✨Understand the Company’s Data Needs

Research PetroChina International and Petroineos Trading Limited to understand their trading operations and data-driven strategies. This will help you tailor your responses to show how you can contribute to their goals.

✨Prepare for Behavioural Questions

Expect questions about teamwork and collaboration, especially since the role involves working closely with data scientists. Prepare examples that demonstrate your communication skills and ability to work effectively with diverse stakeholders.

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