Required Skills

Data Analyst

Work Authorization

  • US Citizen

  • Green Card

  • EAD (OPT/CPT/GC/H4)

Preferred Employment

  • Corp-Corp

  • W2-Permanent

  • W2-Contract

  • Contract to Hire

Employment Type

  • Consulting/Contract

education qualification

  • UG :- - Not Required

  • PG :- - Not Required

Other Information

  • No of position :- ( 1 )

  • Post :- 29th Aug 2025

JOB DETAIL

> •    Data: Gathering large volumes of customer service data from various sources (CRM systems, support tickets, surveys) and utilizing statistical methods to identify patterns and trends. Design and support building new data pipelines (or enhancements to existing data pipelines) by partnering with engineering teams.

> •    Performance Metric Monitoring: Tracking key customer service KPIs like response times, resolution rates, customer satisfaction scores, and identifying areas needing improvement.

> •    Reporting and Visualization: Developing comprehensive dashboards and reports to present insights to stakeholders, including leadership and customer service teams, using data visualization tools. 

> •    Process Optimization: Analyzing data to identify bottlenecks in customer service workflows and recommending process improvements to streamline operations. 

> •    Root Cause Analysis: Investigating customer complaints and identifying underlying issues to address systemic problems impacting customer experience.

> •    Predictive Modeling: Utilizing statistical techniques to forecast customer behavior and potential issues, enabling proactive interventions. 

> •    Collaboration: Working closely with customer service teams to understand their needs, translate data insights into actionable strategies, and implement changes. 

> Data - Responsibilities

> •    Work with different business teams to procure data for the team in timely manner

> •    Ensure data is of good quality

> •    Always looking for avenues for automation in data pipelines wherever applicable

> •    Knowledge in Data governance, Data Bases, ID Mapping, APIs and Reporting

> •    Ensure the Data Product output is interfaced with downstream systems properly and define SLAs.

> •    Ensure Interface documentation is thorough

> Core Responsibilities

> •    Use JIRA and Confluence as tools for Agile Project planning

> •    Follow Kanban development principles to develop and deploy cutting edge Data reports, Products and POCs using massive sets of structured and un-structured data.

> •    Ensure the data reports/products are deployed with through testing and is of highest quality

> •    Communicate the results to other members of team in a clear and intuitive manner

> •    Interface with leadership and team members regularly to brain storm ideas, communicate progress and risks.

> •    Communicate the progress and results in clear, concise and timely manner with other stake holders

Company Information