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Consultant, Data Quality Analytics
Bengaluru, Karnataka, India
Actively hiring, first seen by us 1 day ago- Pay
- Pay not listed
- Work setting
On-site — work setting source
Work setup in the employer’s posting: On-site
From the employer’s posting- Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting
What you’ll work on
Full postingTrace every served fact back to its source and transformations
Measure completeness, freshness, and schema drift against SLAs
Build and own trust and quality dashboards in Splunk, Kibana and SQL
Assemble AI-readiness conformance evidence at each phase gate
Report on trust-tier coverage, provenance and PII labeling status
From the employer’s posting
Trace every served fact back to its source and transformations
Measure completeness, freshness, and schema drift across the layer's data products, and track them against their SLAs.
Build and own the dashboards (Splunk, Elastic / Kibana, SQL) that keep trust, freshness, and quality signals live
Assemble the conformance evidence that shows each data product meets the AI-ready data standard - at every phase gate, across all its dimensions.
Surface trust-tier coverage, provenance completeness, and PII / sensitivity-labeling status
What you’ll bring
All qualificationsCore experience
- Hands-on experience building report and monitoring dashboards (Splunk, Elastic / Kibana, Grafana, or similar).
- Bachelor’s degree in Data Science, Computer Science, Statistics, or related field.
- Experience with data quality, lineage, or data governance - measuring completeness, freshness, and drift, and evidencing it.
- Familiarity with data provenance and PII / sensitivity concepts - enough to report on them accurately.
- Strong communication - you make trust and readiness legible to engineers, auditors, and leadership alike.
Qualification wording
Hands-on experience building report and monitoring dashboards (Splunk, Elastic / Kibana, Grafana, or similar). Experience with data quality, lineage, or data governance - measuring completeness, freshness, and drift, and evidencing it.
Bachelor’s degree in Data Science, Computer Science, Statistics, or related field.
Familiarity with data provenance and PII / sensitivity concepts - enough to report on them accurately.
Strong communication - you make trust and readiness legible to engineers, auditors, and leadership alike.
Education & alternatives
Desirable Requirements - Bachelor’s degree in Data Science, Computer Science, Statistics, or related field. - Certifications or vendor credentials for data quality or cloud data platforms.
Posting record
Report an errorActively 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 12, 20261 day ago
- Recorded sightings
- 3
- Last seen by us
- Nov 14, 2026
- Employer says posted
- Oct 16, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Dell Technologies is hiring
16 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Hiring recordSee how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- SQL
- Grafana
- Kibana
Where the posting names them
- Quality signals. Measure completeness, freshness, and schema drift across the layer's data products, and track them against their SLAs. - Active-metadata dashboards. Build and own the dashboards (Splunk, Elastic / Kibana, SQL) that keep trust, freshness, and quality signals live for the engineering teams and for leadership. - AI-readiness evidence. Assemble the conformance evidence that shows each data product meets the AI-ready data standard - at every phase gate, across all its dimensions.
Essential Requirements - Strong data-analysis background - SQL-fluent, comfortable tracing data across systems and turning messy signals into clear, trustworthy views. Comes with 12-15 years of experience. - Hands-on experience building report and monitoring dashboards (Splunk, Elastic / Kibana, Grafana, or similar). Experience with data quality, lineage, or data governance - measuring completeness, freshness, and drift, and evidencing it.
- Strong data-analysis background - SQL-fluent, comfortable tracing data across systems and turning messy signals into clear, trustworthy views. Comes with 12-15 years of experience. - Hands-on experience building report and monitoring dashboards (Splunk, Elastic / Kibana, Grafana, or similar). Experience with data quality, lineage, or data governance - measuring completeness, freshness, and drift, and evidencing it. - Familiarity with data provenance and PII / sensitivity concepts - enough to report on them accurately.
Your next step
Complete your application on enterpriseplatform.dell.com. The employer’s form will show what is required.
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About Dell Technologies
- People
- About 97,000 in 2026, down 10% from the year before.Annual report (SEC Form 10-K)
- Company
- Listed as DELL.
Demand for Data Governance roles
New Data Governance postings at the employers we follow are up 170% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under Data Governance, by the work the posting describes.
Data governance staff keep a company's data accurate, documented and used within the rules. They agree what key fields mean, set up quality checks, track who owns each dataset and look after master data.
Postings ask for SQL, a governance tool such as Collibra or Informatica, knowledge of privacy and data rules, and a lot of work with other teams.
A data engineer builds the systems that move data; governance staff set and check the standards that data has to meet.
Job description
Consultant, Data Quality Analytics
Data Science is all about breaking new ground to enable businesses to answer their most urgent questions. Pioneering massively parallel data-intensive analytic processing, our mission is to develop a whole new approach to generating meaning and value from petabyte-scale data sets and shape brand new methodologies, tools, statistical methods, and models. What’s more, we are in collaboration with leading academics, industry experts, and highly skilled engineers to equip our customers to generate sophisticated new insights from the biggest of big data.
What you’ll achieve:
As a Consultant, you will lead high-impact data quality programs that strengthen monitoring, validation, and defect remediation. You will automate checks, rollout policies, and measure improvements with quality KPIs across critical data products. You will collaborate with engineering and analytics teams to deliver scalable solutions and robust documentation.
Prove that the Knowledge & Intelligence layer's data can be trusted - and keep proving it. This is the data-trust and AI-readiness role for the governed knowledge spine that grounds AI agents on verified, provenance-backed facts. You trace where every fact came from, measure its quality and freshness, and turn those signals into the dashboards and evidence that show the layer meets its AI-ready data standard - continuously, not as a one-time sign-off. When trust, lineage, or quality drifts, you're the first to see it and the one who makes it visible to everyone else.
Join us to do the best work of your career and make a profound social impact as a Consultant on our Data Quality Analytics team.
You will:
Lineage & traceability. Trace every served fact back to its source and transformations - the record that makes the layer explainable and auditable.
Quality signals. Measure completeness, freshness, and schema drift across the layer's data products, and track them against their SLAs.
Active-metadata dashboards. Build and own the dashboards (Splunk, Elastic / Kibana, SQL) that keep trust, freshness, and quality signals live for the engineering teams and for leadership.
AI-readiness evidence. Assemble the conformance evidence that shows each data product meets the AI-ready data standard - at every phase gate, across all its dimensions.
Trust & compliance reporting. Surface trust-tier coverage, provenance completeness, and PII / sensitivity-labeling status - the evidence audit and governance rely on. Grounding discipline. Nothing ships ungrounded; you flag anything that can't be traced back to a source.
Take the first step towards your dream career
Every Dell Technologies team member brings something unique to the table. Here’s what we are looking for with this role:
Essential Requirements
Strong data-analysis background - SQL-fluent, comfortable tracing data across systems and turning messy signals into clear, trustworthy views. Comes with 12-15 years of experience.
Hands-on experience building report and monitoring dashboards (Splunk, Elastic / Kibana, Grafana, or similar). Experience with data quality, lineage, or data governance - measuring completeness, freshness, and drift, and evidencing it.
Familiarity with data provenance and PII / sensitivity concepts - enough to report on them accurately.
Comfort with knowledge graphs and semantic data - the substrate you'll trace and query (SPARQL a plus).
Strong communication - you make trust and readiness legible to engineers, auditors, and leadership alike.
Desirable Requirements
- Bachelor’s degree in Data Science, Computer Science, Statistics, or related field.
- Certifications or vendor credentials for data quality or cloud data platforms.
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Bengaluru, Karnataka, India
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.