Business Analytics Consultant Senior - Marketing & Customer Analytics

District of Columbia, USA (On-site)

$75K/yr – $150K/yrSenior Level3+ years expFull time

Posted 1 month ago

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Job Summary

Own the analytics backbone for direct response programs, shaping incrementality, cohort health, and data-driven optimization across campaigns.

  • Direct Marketing Analytics: Own audience choice, campaign measurement, and insights that drive optimization decisions.
  • Incrementality & Attribution: Design tests and support match-back/attribution to improve spend efficiency and understanding of conversions.
  • Reporting & Stakeholder Communication: Build dashboards and translate findings for both technical and non-technical audiences to influence next tests.

Job Description

Responsibilities

  • Direct Marketing Analytics: Support analytics for direct mail and direct response campaigns, including audience selection, campaign measurement, and insight generation.
  • Experimental Design Support: Assist with campaign test designs (e.g., holdout groups, synthetic control groups, A/B tests, Difference-in-Differences) to support accurate incrementality analysis.
  • Cohort and Vintage Analysis: Perform cohort and vintage analyses to help monitor the quality and longevity of acquired customers.
  • Dashboards & Reporting: Develop and maintain dashboards and recurring reporting (Tableau preferred, Power BI acceptable) to track campaign performance, customer acquisition, and business quality.
  • Attribution Analysis: Support match-back analysis and other attribution approaches to help understand conversions.
  • Insight Generation: Move beyond basic reporting to develop insights that inform recommendations for campaign optimization and future test strategies.
  • Communication & Collaboration: Partner with marketing stakeholders to present findings and recommendations to both technical and non-technical audiences.

Requirements

  • 3–5 years of experience in analytics, with exposure to direct response or marketing analytics
  • Bachelor’s or Master’s degree in a quantitative field (Economics, Statistics, Mathematics, Computer Science, or related)
  • Working knowledge of statistical testing and A/B testing concepts (control groups, significance, incrementality)
  • Strong technical skills in SQL, Python (JupyterHub Notebooks), Hadoop, and data visualization tools (Tableau or Power BI)
  • Experience performing cohort or vintage analysis, attribution analysis, list segmentation, or campaign performance measurement
  • Strong written and verbal communication skills, with the ability to translate analytical findings into clear, business-focused insights
  • Curious, detail oriented, and comfortable working in a collaborative analytics environment

Preferred

  • Analytical Thinking
  • Business Intelligence (BI)
  • Concept Development
  • Data-Driven Decision Making
  • Data Integration
  • Market Research
  • Performance Metrics
  • Qualitative Research
  • Strategic Planning

Benefits

  • medical/prescription drug coverage (with a Health Savings Account feature)
  • dental and vision options
  • life insurance (employee and spouse/child)
  • short and long-term disability protection
  • 401(k) with PNC match, pension and stock purchase plans
  • dependent care reimbursement account
  • back-up child/elder care
  • adoption, surrogacy, and doula reimbursement
  • educational assistance, including select programs fully paid
  • robust wellness program with financial incentives
  • maternity and/or parental leave
  • up to 11 paid holidays each year
  • 9 occasional absence days each year
  • 15 to 25 vacation days each year (depending on career level)
  • information on benefits available at pncthrive.com
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PNC

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Pittsburgh, Pennsylvania, USA
63K employees (828 in marketing)
58% recommend to a friend
65% CEO approval

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