Data Quality Analyst

Hi All,

Job Title: Data Quality Analyst

Experience: 10+ Years

Location: Jersey City / Plano / Columbus.

RTTO - 5 Days Onsite
Rate: $60- $65/hr on C2C

Role


The Data Quality Analyst owns the end-to-end reconciliation of one carrier's inventory per wave: running the comparison pipeline output, adjudicating every field-level mismatch as a true or false positive, tuning the equivalence rules that drive that classification, raising and chasing correction tickets on both the JPMC side and the carrier side, and reporting the weekly burn-down.


The role combines two functions that are often split:


(a) data-side analysis - interrogating the comparison results; and


(b) vendor engagement - obtaining inventory files from the carrier, clarifying their column semantics, disputing and driving carrier-side corrections, and tracking SLA.

Both postholders perform the full role. The split below is a division of ownership, not of skill set - each must be able to cover the other during absence.


1- Primary owner of the active wave's carrier relationship and of the equivalence-rule set for that carrier.


- Owns the weekly burn-down pack and the monthly KPI feed submission.


- Runs the onboarding of the next carrier in parallel with the tail of the current wave (file request, column dictionary, mapping draft).


2 - Primary owner of mismatch triage volume: classification, severity assignment, ticket raising, and ageing management.


- Owns the tag-and-locate queue: shortlisting residual unmatched circuits, grouping them by site, and coordinating the Field Ops batches.


- Owns the completeness reporting on LEC carrier and LEC circuit ID fields.

SKILL SET



Essential


Data and tooling


- Advanced Excel - large workbooks, lookups, pivot tables, text normalization functions; comfortable working with 100k+ row extracts.


- Working comfort with CSV/Excel data exchange, encoding and delimiter issues, and with inconsistent or dirty carrier-supplied files.

Domain


- Telecom inventory fundamentals: circuit IDs, circuit types (Ethernet, Private Line, MPLS, DIA, Channelized, SONET), bandwidth notation, A-end / Z-end service addresses, LEC / local-loop concepts and demarc.

Method


- Data quality practice: profiling, rule definition, exception triage, false-positive management, root-cause analysis.


- Exceptional attention to detail and evidential discipline - every correction raised must carry the evidence that justifies it.


- Structured, self-directed working

Vendor and stakeholder


- Vendor / supplier management: chasing deliverables, running working calls with carrier data teams, disputing records with evidence, and tracking commitments to an SLA.


- Clear written English; able to produce a status pack that an executive can read without a walkthrough.



Desirable


- Python with pandas for ad-hoc analysis (production pipeline code is not expected of this role).


- Prior exposure to comparable telecom expense management / inventory platforms.


- Experience of a carrier inventory reconciliation, circuit rationalization or telecom audit programme.


- Familiarity with address standardization and fuzzy-matching techniques.


- Experience operating inside a KPI / scorecard governance framework.


- Basic HTML or dashboard literacy sufficient to sanity-check published output

EXPERIENCE AND BEHAVIOURS


- 3+ years in a data quality, data analyst or telecom inventory role; at least 1 year with vendor-facing responsibility.


- Persistent and comfortable with ambiguity - much of the value of this role is in resolving the records that do not reconcile cleanly.


- Able to use escalation as a tool