Junior Data Quality Analyst
London
- Pay
- Pay not listed
- Work setting
Hybrid — work setting source
Work setup in the employer’s posting: hybrid
From the employer’s posting- Employment
Full-time — employment source
Employment type Full-time
Employment type in the employer’s posting: Full-time
From the employer’s posting
What you’ll work on
Full postingTrack data quality KPIs across systems to catch anomalies and gaps
Design and maintain BI dashboards showing data health for stakeholders
Investigate datasets with SQL and BI tools to resolve data quality issues
Streamline data validation workflows using automation and AI tools
Answer ad-hoc stakeholder data inquiries with root-cause analysis
From the employer’s posting
Track data quality KPIs across multiple systems to detect inconsistencies, anomalies, and gaps
Design, deploy, and maintain dynamic BI dashboards and reports to present clear data health insights to key stakeholders
Utilize SQL and BI software to investigate datasets, discover underlying patterns, and resolve complex data quality challenges
Streamline data validation workflows by leveraging automation tools, prompt engineering, and modern AI techniques
Address ad-hoc stakeholder inquiries and deliver swift, accurate data analysis to support operational decision-making
Education & alternatives
- 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.
Tools in this posting
- Python
- SQL
- Excel
- Looker
- Power BI
- Tableau
Source — Tool mentions in context
- 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.
- 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.
- 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.
- 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.
Posting record
Report an errorActively hiringFirst seen by us 4 days ago, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Oct 27, 2026 · 4 days ago
- Recorded sightings
- 6
- Last seen by us
- Nov 1, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
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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.
- 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.
Nice-to-haves:
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 build
together
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.
By applying, I confirm that I have read and accept the Staff Privacy Notice
Employment type
Full-time
Source details
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- Pay
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- Location & working pattern
London
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