CommScope Inc.

Data Analyst III, Packaging Compliance

CommScope Inc. Verna, Goa, India

Telecommunications · 10,001+ employees

Yesterday
data-analyst Mid (2-5 yrs) Full-time India
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About the role

The role involves gathering and reconciling packaging data from multiple sources to create reliable, audit-ready compliance reports. You will also track emerging packaging regulations and develop automated dashboards to monitor compliance risks and material reduction progress.

What they look for

Data Analysis Packaging Compliance SAP Power BI Excel Power Query SQL Data Governance Reporting Supply Chain Regulatory Compliance Master Data Management Workflow Automation Quality Control EPR Reporting Data Modeling

Requirements

Candidates must hold a bachelor's degree in a relevant field and possess at least 4 years of experience in data analysis, BI, or master-data management. Proficiency in advanced Excel, Power BI, and SQL is required, along with strong analytical skills and experience in manufacturing or supply chain environments.

Full description

Role Purpose

Create a reliable packaging-compliance data and reporting capability by gathering, validating, reconciling and combining information from multiple internal and external sources. Convert raw packaging data into repeatable customer, distributor and authority-ready outputs, with clear assumptions, source traceability and quality controls, while adapting the data model to new jurisdictions and future requirements.

Core Responsibilities

  • Extract and reconcile packaging data from SAP/BI reports, Excel files, contract manufacturers, suppliers and other approved systems.
  • Build repeatable datasets and reporting workflows that combine product, material, supplier, market and packaging-component information.
  • Prepare Declarations of Conformity, reports with packaging weights for EPR reporting, recycled-content summaries, material-reduction progress and design-optimization analyses.
  • Track emerging packaging regulations with Regulatory and Sustainability teams, translate new obligations into data requirements, and update reporting models and templates.
  • Perform quality checks, investigate gaps and coordinate corrections across Packaging Engineering, Operations, Procurement, IT and external partners.
  • Maintain version control, reporting calendars, audit trails and supporting evidence so outputs are reproducible and defensible.
  • Develop dashboards showing completeness, deadlines, compliance risks, packaging-weight trends and reduction opportunities.
  • Standardize templates and automate recurring work where practical without compromising control.

Key Deliverables

Trusted data foundation

Governed dataset with documented sources and definitions.

On-time reporting

Accurate recurring and ad hoc market-specific reports.

Regulatory readiness

Flexible models that support new fields, countries and deadlines.

Required Qualifications

  • Bachelor’s degree in Engineering, Data Analytics, Information Systems, Business, Statistics or a related field.
  • 4+ years of data analysis, BI, reporting or master-data experience in manufacturing, supply chain, product or compliance.
  • Advanced Excel skills, including Power Query, pivot tables, lookups, cleansing and structured models.
  • Experience with Power BI or a comparable tool; ability to work with SAP-derived data and large, imperfect datasets.
  • Working knowledge of SQL and data transformation; experience with automation tools for consolidating data, performing quality checks, and streamlining recurring reports is an advantage.
  • Strong analytical judgement, attention to detail, documentation discipline and stakeholder communication.
  • Professional English and effective collaboration across global teams, suppliers and contract manufacturers.

Preferred Experience

Packaging materials or Bills of Material • EPR or environmental reporting • compliance documentation • data governance/master data • supplier-data collection • workflow automation • cross-functional work in a multinational manufacturing organization

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