Junior Data Quality Analyst

Kpler; Greater London; Hybrid; GBP 30,000 - 42,000; Full time

Job summary

Kpler in London is seeking a Junior Data Quality Analyst to safeguard the accuracy, completeness, and reliability of its global commodity market data, with a focus on Oil Market Data. You will monitor data health metrics, identify anomalies, and build dashboards that empower decision-makers.

You will work cross-functionally across Data Operations, Data Engineers and BI teams while exploring AI-driven tools to streamline validation and analysis, driving automation and improved data quality across

Qualifications

• 1–2 years in a data-focused role or internship (e.g., Data Analysis, BI, or Data Science).
• Bachelor’s degree (or higher) in a quantitative field such as Economics, CS, Statistics, Business, or equivalent practical experience.
• Solid foundational SQL skills to query, filter, aggregate, and join complex tables.
• Practical familiarity with Python, GitHub, and spreadsheet tools (Excel or Google Sheets).
• Working experience with modern BI visualization tools such as Looker, Tableau, or Power BI.
• Meticulous attention to detail with end-to-end ownership of data accuracy.

Responsibilities

• Monitor data quality KPIs across multiple systems to detect inconsistencies, anomalies, and gaps, escalating critical issues to protect global commodity data reliability.
• Design, deploy, and maintain dynamic BI dashboards and reports for stakeholders with clear data health insights.
• Utilize SQL and BI software to investigate datasets, identify patterns, and resolve data quality challenges.
• Drive process automation and AI integration to streamline data validation workflows.
• Collaborate cross-functionally with Data Operations, Data Engineers, and BI teams to align data quality standards with business needs.
• Conduct root-cause investigations and deliver swift, accurate data analysis to support decision-making.

Skills

SQL

Python

GitHub

Excel/Sheets

Looker/Tableau/Power BI

Data Analysis

BI Dashboards

Data Quality

Education

Bachelor’s degree or higher in Economics, Computer Science, Statistics, Business or equivalent

Tools

Looker

Tableau

Power BI

Job description

At Kpler, we are dedicated to helping our clients navigate complex markets with ease. By simplifying global trade information and providing valuable insights, we empower organisations to make informed decisions in commodities, energy, and maritime sectors.

Since our founding in 2014, we have focused on delivering top-tier intelligence through user-friendly platforms. Our team of over 850 experts from 69 countries works tirelessly to transform intricate data into actionable strategies, ensuring our clients stay ahead in a dynamic market landscape. Join us to leverage cutting-edge innovation for impactful results and experience unparalleled support on your journey to success.

As a Junior Data Quality Analyst, you will play a crucial role in safeguarding the accuracy, completeness, and reliability of Kpler’s global commodity market data, with a primary focus on Oil Market Data. Working cross-functionally across business units, you will monitor data health metrics, identify system anomalies, and build actionable dashboards that empower decision-makers. In this role, you will also help pioneer internal workflow automation by experimenting with modern AI-driven tools to streamline data validation and analysis.

Key Responsibilities

• Monitor and safeguard data integrity: Track data quality KPIs across multiple systems to detect inconsistencies, anomalies, and gaps, escalating critical issues to protect global commodity data reliability.
• Build intuitive visual analytics: Design, deploy, and maintain dynamic BI dashboards and reports to present clear data health insights to key stakeholders.
• Perform exploratory analysis: Utilize SQL and BI software to investigate datasets, discover underlying patterns, and resolve complex data quality challenges.
• Drive process automation & AI integration: Streamline data validation workflows by leveraging automation tools, prompt engineering, and modern AI techniques.
• Collaborate cross-functionally: Partner closely with Data Operations, Business Unit Engineers, Data Engineers, and BI teams to align data quality standards with business needs.
• Conduct root-cause investigations: Address ad-hoc stakeholder inquiries and deliver swift, accurate data analysis to support operational decision-making.

Experience & Background

• 1–2 years of hands-on experience in a data-focused role or internship (e.g., Data Analysis, BI, or Data Science).
• Bachelor’s degree (or higher) in a quantitative field such as Economics, Computer Science, Statistics, Business, or equivalent practical experience.
• Solid foundational SQL skills with the ability to query, filter, aggregate, and join complex tables efficiently.
• Practical familiarity with Python, GitHub, and spreadsheet tools (Excel or Google Sheets) for data manipulation and profiling.
• Working experience with modern BI visualisation tools such as Looker, Tableau, or Power BI.
• Meticulous attention to detail, strong problem-solving skills, and a desire to take end-to-end ownership of data accuracy.

Nice-to-haves:

• Exposure to or strong interest in energy, commodities, or Oil & Gas markets.
• Active interest in AI tools and best practices, with a focus on improving documentation, streamlining workflows, and enhancing quality assurance processes.

We are a dynamic company dedicated to nurturing connections and innovating solutions to tackle market challenges head-on. If you thrive on customer satisfaction and turning ideas into reality, then you’ve found your ideal destination. Are you ready to embark on this exciting journey with us?

We make things happen

We act decisively and with purpose, going the extra mile.

We buildtogether

We foster relationships and develop creative solutions to address market challenges.

We are here to help

We are accessible and supportive to colleagues and clients with a friendly approach.

Our People Pledge

Don’t meet every single requirement? Research shows that women and people of color are less likely than others to apply if they feel like they don’t match 100% of the job requirements. Don’t let the confidence gap stand in your way, we’d love to hear from you! We understand that experience comes in many different forms and are dedicated to adding new perspectives to the team.

Kpler is committed to providing a fair, inclusive and diverse work-environment. We believe that different perspectives lead to better ideas, and better ideas allow us to better understand the needs and interests of our diverse, global community. We welcome people of different backgrounds, experiences, abilities and perspectives and are an equal opportunity employer.

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