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求人Comcast

Data Management 3

Comcast

Data Management 3

Comcast

India - Chennai, Comcast India Engineering Cent

·

On-site

·

Full-time

·

1w ago

Comcast brings together the best in media and technology. We drive innovation to create the world's best entertainment and online experiences. As a Fortune 50 leader, we set the pace in a variety of innovative and fascinating businesses and create career opportunities across a wide range of locations and disciplines. We are at the forefront of change and move at an amazing pace, thanks to our remarkable people, who bring cutting-edge products and services to life for millions of customers every day. If you share in our passion for teamwork, our vision to revolutionize industries and our goal to lead the future in media and technology, we want you to fast-forward your career at Comcast.

Job Summary

The analyst functions as a data detective—mapping and tracing data flows end‑to‑end, identifying the root cause of anomalies, and implementing durable corrective actions. Success in this position requires proactive ownership of data quality outcomes, strong SQL and Python proficiency, and the ability to translate technical findings into clear, actionable recommendations for both technical and business stakeholders. The environment is dynamic and fast‑paced, with a focus on long‑term operational stability, continuous improvement, and measurable impact.

Job Description Responsibilities:

Data Forensics & Investigation

  • Lead complex data investigations across multiple Comcast data pipelines to identify anomalies, gaps, and integrity issues.
  • Reconstruct end‑to‑end event timelines (ingestion → transformation → consumption) to support internal inquiries, data audits, adherence to Comcast data management standards, and leadership escalations.
  • Develop SQL and Python‑based detection logic to identify potential fraud indicators, account misuse, billing leakage, improper data access, and other high‑risk anomalies.
  • Validate data against Comcast standards—including naming conventions, lineage, PII handling, SLAs, and retention policies—and document deviations with evidence‑based findings.

Data Quality & Governance

  • Establish and maintain core data governance practices, including stewardship, metadata management, lineage mapping, Critical Data Element (CDE) standards, responsible data usage, and master data management across multiple domains.
  • Translate investigation outcomes into preventive controls such as validation rules, reconciliation checks, ID standardization, late‑data handling, and backfill/retry patterns.
  • Recommend, track, and verify remediation for systemic data quality issues (e.g., missing dedup keys, inconsistent identifiers, timestamp mismatches).

Cross‑Functional Collaboration & Root‑Cause Resolution

  • Partner with Data Engineering, Infrastructure/Platform, Product Analytics, Customer & Billing, Network/Field Ops, Care, and Mobile data teams to validate findings and implement durable root‑cause fixes.
  • Serve as the forensic SME during incident reviews and post‑incident processes, ensuring corrective actions are measurable, time‑bound, and fully executed.
  • Design and maintain repeatable incident‑management and data‑issue playbooks to drive consistent operational response.

Communication, Reporting & Leadership Support

  • Deliver clear, executive‑ready storytelling that summarizes the problem statement, impacted metrics or entities, financial/operational impact, and recommended path to resolution.
  • Create dashboards or visualizations to detect emerging issues, monitor data quality improvements, and communicate trends across stakeholders.

Tools & Technical Execution

  • Use SQL across warehouse and data lake environments, Python for anomaly detection and automation, and visualization tools for analytical reporting and monitoring.

Professional Expectations

  • Demonstrate strong independent judgment, discretion, and ownership on high‑impact data issues.
  • Apply project‑management skills to prioritize investigations, manage timelines, and coordinate cross‑functional actions.
  • Maintain regular, consistent, and punctual attendance; able to work nights/weekends or variable schedules as needed for incident support.

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We believe that benefits should connect you to the support you need when it matters most, and should help you care for those who matter most. That's why we provide an array of options, expert guidance and always-on tools that are personalized to meet the needs of your reality—to help support you physically, financially and emotionally through the big milestones and in your everyday life.

Please visit the benefits summary on our careers site for more details.

Education

Bachelor's Degree

While possessing the stated degree is preferred, Comcast also may consider applicants who hold some combination of coursework and experience, or who have extensive related professional experience.

Certifications (if applicable)

Relevant Work Experience

5-7 Years

Comcast is an equal opportunity workplace. We will consider all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, veteran status, genetic information, or any other basis protected by applicable law.

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応募クリック数

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模擬応募者数

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スクラップ

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Comcastについて

Comcast

Comcast

Public

Comcast Corporation, formerly known as Comcast Holdings, is an American multinational mass media, telecommunications, and entertainment conglomerate.

10,001+

従業員数

Philadelphia

本社所在地

$170B

企業価値

レビュー

2.6

4件のレビュー

ワークライフバランス

2.0

報酬

2.0

企業文化

2.5

キャリア

2.0

経営陣

2.0

15%

友人に勧める

良い点

Free parking available

Large company with potential opportunities

Established technology company

改善点

Poor career growth opportunities

Low pay increases

Work-life balance concerns

給与レンジ

27件のデータ

L2

L3

L4

L5

L6

Mid/L4

Director

L2 · Data Analyst L2

0件のレポート

$71,604

年収総額

基本給

$28,642

ストック

$35,802

ボーナス

$7,160

$50,123

$93,085

面接体験

5件の面接

難易度

3.0

/ 5

期間

14-28週間

面接プロセス

1

Application Review

2

Recruiter Screen

3

Technical Phone Screen

4

Onsite/Virtual Interviews

5

Offer

よくある質問

Technical Knowledge

Behavioral/STAR

Past Experience

Coding/Algorithm