Insights Analyst

160over90 • Philadelphia, PA

2d • Hybrid

About The Position

In this role, you'll sit at the intersection of data & storytelling, transforming raw information into clear, actionable insights that shape strategy and business decisions. You'll work across the organization and with clients to build models, reports, tools, dashboards, and compelling narratives that drive measurable impact. This Insights Analyst will primarily work on the day-to-day needs of two (2) clients with scope to work across others as capacity and needs permit. Long term this is a role for someone who thrives in variety. Our work spans industries, clients, and problem types, meaning no two weeks look the same. You'll need to draw from a broad toolkit and adapt quickly to unfamiliar domains.

160over90 is an award-winning global marketing agency that forges stronger human connections and creates shared moments where people feel something real. With 700 thinkers, doers, and makers across every cultural corner of the world, the agency brings a full-service, channel-agnostic approach with deep expertise in partnerships, experiential marketing, and cultural strategy. From global sponsorships and brand partnerships to live experiences and content, 160over90 helps leading brands show up meaningfully in culture, and measure the impact of those moments on brand and business outcomes. The agency works with partners including AB InBev, Amazon, Coca-Cola, DP World, Macy’s, Marriott International, McDonald’s, Verizon and Visa, and is part of WME Group, a global representation business comprising the world’s leading talent, intellectual property, and brands. Our Research & Analytics team sits at the cent er of this work, helping uncover insights that guide the right partnership choices and measure the impact they deliver across brand, business, and audience.

Requirements

• 2 + years of experience as an insights analyst, data analyst, marketing analyst , or similar role, ideally within a marketing or agency environment.
• Bachelor's and /or Graduate education in analytics related domain: Economics, Computer Science, Statistics/Mathematics, Physics, Business, Marketing.
• Strong p roficiency in Excel for data manipulation, modeling, and advanced formulas .
• Working knowledge of R or Python for statistical analysis, data processing, and automation.
• Hands-on experience with dashboarding tools such as Tableau (preferred), Power BI, Looker, Domo , etc.
• Strong foundation in statistical modeling (AB Tests, Regression Analysis , Outlier Detection)
• Experience with geographic data visualization using BI tools or spatial software such as ArcGIS.
• Experience with survey design using tools such as Qualtrics, Cvent, SurveyMonkey, or Microsoft Forms, including an understanding of survey methodology and response analysis.
• Excellent communication skills with a demonstrated ability to present data insights that satisfy technical and non-technical audiences.
• Proven track record managing large, complex datasets with hands-on experience in deduplication, outlier detection, and reconciliation to produce trustworthy outputs
• Understanding of how to measure marketing effectiveness across brand , campaigns, partnerships, and activations, including experience selecting appropriate methodologies and translating results into actionable insights .

Nice To Haves

• Exposure to SQL for direct database querying and data extraction .
• Familiarity with marketing mix modeling and or attribution modeling .
• Experience working with Google Analytics (GA 4 ) / Google Tag Manager (GTM)
• Experience with Power Query / VBA
• Experience with designing , measuring, and or managing incentive program s.
• Familiarity with mixed-method research approaches (quantitative and qualitative), including questionnaire design, sampling, and primary research best practices.

Responsibilities

• Clean and process datasets ( small scale ad hoc to 20M+ records) to ensure accuracy, consistency, & analytical readiness across projects.
• Design and manage interactive dashboards using BI tools to provide visibility into key metrics.
• Translate complex data findings into clear narratives that satisfy both technical and non-technical audiences through presentations, reports, and visualizations.
• Develop and support models to evaluate campaign performance, forecast outcomes, and budget planning.
• Define and evolve data strategy in collaboration with clients, client services, and leadership teams, identifying opportunities to improve how we collect, store, and leverage data.
• Collaborate with decision makers to define analytical requirements and deliver prompt , reliable insights that inform strategic decisions.
• Design, deploy, and analyze surveys to capture audience insights and stakeholder feedback to inform marketing strategy and campaign decisions.
• Develop spatial analyses and interactive maps to inform logistical planning, route optimization, and event site strategy.
• Apply rigorous data quality practices (deduplication, outlier detection, and reconciliation) to ensure analyses are built on clean, reliable foundations .

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level