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Product Analyst- Data & Risk(CONTRACT)

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What you’ll work on

Full posting
  • Analyse product performance, merchant and transaction data using SQL

  • Label and quality-check transaction and merchant data for AI/ML models

  • Validate AI-generated outputs and flag misclassifications and data issues

  • Analyse model performance with precision, recall, F1 and confusion matrices

  • Build reports and dashboards to support product and quality decisions

From the employer’s posting
Analyse product performance, merchant/transaction data, customer feedback and quality signals.
Label, classify and quality-check transaction and merchant data used for AI/ML models.
Validate AI-generated outputs and identify misclassifications, edge cases and data-quality issues.
Analyse model performance using metrics such as precision, recall, accuracy, F1 score and confusion matrices.
Create reports, dashboards and visualisations to support product and quality decisions.
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Posting record

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Actively hiringFirst seen by us 1 day ago, still listed, and not a repost of an earlier posting.

Status in our records
Live
First seen by us
Nov 3, 20261 day ago
Recorded sightings
2
Last seen by us
Nov 4, 2026

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How this job compares

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From 10,593 similar postings that came down. Coming down is not always a hire.

Wipro is hiring

175 open jobs

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  • 1% of open jobs were reposted
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  • SQL
Where the posting names them
- Analyse product performance, merchant/transaction data, customer feedback and quality signals. - Use SQL and analytical tools to identify data issues, patterns, inconsistencies and improvement opportunities. - Create reports, dashboards and visualisations to support product and quality decisions.
- 3+ years of experience in Product Analysis, Data Analysis, Data Quality, QA, Product Operations, Data Labeling or a similar role. - Strong SQL skills and experience working with large datasets. - Strong analytical and problem-solving skills with excellent attention to detail.

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About the role

We file this job under Analyst, by the work the posting describes.

Analysts answer business questions with data. They pull numbers with SQL, build reports and dashboards, and explain what changed and why to the people making decisions.

Most postings ask for SQL, spreadsheets, a dashboard tool such as Tableau or Power BI, and clear writing.

Unlike a data scientist, an analyst mostly explains what happened rather than building models that predict what will.

Job description

View original posting ↗

Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) is a leading technology services and consulting company focused on building innovative solutions that address clients’ most complex digital transformation needs. Leveraging our holistic portfolio of capabilities in consulting, design, engineering, and operations, we help clients realize their boldest ambitions and build future-ready, sustainable businesses. With over 230,000 employees and business partners across 65 countries, we deliver on the promise of helping our customers, colleagues, and communities thrive in an ever-changing world. For additional information, visit us at www.wipro.com.

Job Description

With 900+ employees in Poland supporting over 45 clients, we leverage our holistic portfolio of capabilities in consulting, design, engineering, operations, and emerging technologies to help clients realize their boldest ambitions and build future-ready, sustainable businesses. It is the freedom provided to every individual at Wipro to learn, grow, and create a career path that makes us an organization of opportunities beyond boundaries of region, age, gender, ability, and routine. We invite you to be a part of this experience!

 

Type of contract: B2B

Location and Work Mode: Warsaw - client office, Hybrid 2-3 days from client office.

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Key Responsibilities

  • Analyse product performance, merchant/transaction data, customer feedback and quality signals.
  • Use SQL and analytical tools to identify data issues, patterns, inconsistencies and improvement opportunities.
  • Create reports, dashboards and visualisations to support product and quality decisions.
  • Support product testing, validation, QA, releases and migrations, including investigation of discrepancies.
  • Label, classify and quality-check transaction and merchant data used for AI/ML models.
  • Validate AI-generated outputs and identify misclassifications, edge cases and data-quality issues.
  • Analyse model performance using metrics such as precision, recall, accuracy, F1 score and confusion matrices.
  • Collaborate with Product, Data Science and Machine Learning teams to improve data quality, labeling guidelines and model performance.
  • Document findings, test results, quality issues and recommended actions.

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Key Requirements

  • 3+ years of experience in Product Analysis, Data Analysis, Data Quality, QA, Product Operations, Data Labeling or a similar role.
  • Strong SQL skills and experience working with large datasets.
  • Strong analytical and problem-solving skills with excellent attention to detail.
  • Experience with data quality, testing, validation and root-cause analysis.
  • Understanding of Machine Learning/AI concepts, particularly training data, classification and model validation.
  • Familiarity with data labeling/annotation and classification workflows.
  • Understanding of model evaluation metrics such as precision, recall, F1 score, accuracy and confusion matrices.
  • Experience with spreadsheets, dashboards and other analytical/reporting tools.
  • Strong English communication skills and ability to work with both technical and non-technical stakeholders.
  • Nice to have: experience with Google Vertex AI, MLOps, financial/transaction data or merchant categorisation.

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Equal Opportunity Employer:

Wipro is an Equal Opportunity Employer. We provide consideration for all qualified applicants regardless of race, color, religion, gender, marital status, age, ethnicity, national origin, sexual orientation, political views, disability, or any other characteristic protected by law

 

Internal Reporting and Whistleblower Protection:

Wipro IT Services Poland Sp. z o.o. adheres to the Internal Reporting and Whistleblower Protection Regulations. Candidates can submit internal reports via email to ombuds.person@wipro.com, through the Internet at www.wiproombuds.com, or by post/courier to Wipro's registered office.

 

Mandatory Skills: Data Analysis .

 

Experience: 5-8 Years .

 

Reinvent your world. We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention.
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Location & working pattern

Warsaw, Pol-01, PL, 02-017

Type of contract: B2B Location and Work Mode: Warsaw - client office, Hybrid 2-3 days from client office. ͏
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