Analytics & Insights Analyst

Overview

Hybrid
Depends on Experience
Contract - W2
Contract - Independent
Contract - 9 Month(s)

Skills

Data analysis
Data visualization
Data Integration
digital analytics
SQL
analytical

Job Details

Job Role: CS-Analytics & Insights Analyst

Location: Newark, NJ

Duration: 9 Months

KEY RESPONSIBILITIES

  • Data analysis Obtain, manipulate, and analyze data to answer specific or open-ended questions, utilizing statistical approaches as needed, and distill actionable insights. Understand Customer Care s business processes, identify root causes to business problems using data, and make recommendations.
  • Data visualization Understand requirements, gather data from various data sources, conduct business analysis, and provide quantitative insights through presentations, reports, and dashboards
  • Project support Support CS initiatives through the lifecycle of ideation, opportunity sizing, strategy and measurement definition, and reporting / impact assessment. Provide analytics team perspective in the setup of A/B tests and subsequent reporting of test results (pre and post-optimization analyses).
  • Digital SME Act as a subject matter expert on best-in-class digital analytics and optimization. Discover customer insights by profiling across a variety of attributes and creating / optimizing actionable segments. Implement a digital analytics roadmap developing processes around analytics collection, quality, governance, and standardization across Customer Care s digital properties.
  • Data Integration Support onboarding and configuration of analytic tools and support connection of digital data to other reporting tools like Tableau and QuickSight.


BASIC QUALIFICATIONS

  • BA/BS in Engineering, Business Analytics, Information Systems, Statistics, or other quantitative field
  • 5+ years of related experience in analytical roles, including 1+ years in digital analytics
  • Excellent problem-solving skills, self-motivated, and able to manage multiple competing priorities
  • Solid understanding of data concepts (databases, schemas, warehousing, ETL, data quality, etc.)
  • Experience with complex data gathering and analysis (e.g. SQL, Python, Excel)
  • Experience creating dashboards for data storytelling with a data viz tool (e.g. Tableau, AWS QuickSight)
  • Deep knowledge and comfort with Adobe Analytics
  • Experience with A/B testing tools (Adobe Target preferred)
  • Experience applying statistical concepts (distributions, hypothesis testing, confidence intervals) to real-world applications
  • Proven ability to translate complex findings from qualitative and quantitative data into recommendations. Ability to summarize in-depth analyses into concise and actionable insights for senior managers and directors.
  • Strong interpersonal skills and the ability to build trust and partnerships with key stakeholders
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