Data & Analytics Specialist

GlueIQ is the brainchild of our collective obsession with Creativity, Culture, and Tech. We understand that complex problems are best solved collaboratively, and it was time for a creative consultancy model that could foster those critical connections between people, process, and tools that drive meaningful growth for our clients

At GlueIQ, we turn curiosity into clarity. We’re looking for a Data & Analytics Specialist who loves connecting the dots, diving into complex datasets, and transforming information into stories that spark smarter decisions. In this role, you’ll help power the intelligence behind our full-service agency — blending data across platforms, ensuring data integrity, and uncovering insights that elevate strategy, inspire creative, and drive measurable performance.

You’ll collaborate closely with Strategy, Media, Creative, and Account teams, acting as both an analytical expert and a thoughtful problem‑solver. If you are energized by exploring data, troubleshooting challenges, and translating complexity into meaning, you’ll thrive here.

• Build, enhance, and maintain dashboards, performance summaries, and reporting frameworks across paid media, owned channels, and campaign activity.
• Use ETL tools or data‑blending platforms to connect, transform, and unify multiple data sources (paid media platforms, site analytics, CRM, etc.).
• Troubleshoot data discrepancies and ensure accuracy, consistency, and reliability across reporting environments.
• Conduct ongoing analysis of campaign performance (awareness, engagement, conversion, attribution, ROAS, CPM/CPC/CPA, etc.) to surface meaningful trends and insights.
• Interpret large, multi‑source datasets to deliver clear, actionable insights to internal teams and clients.
• Translate analytical findings into strategic recommendations that enhance media planning, audience targeting, and creative direction.
• Support the development of audience segmentation, customer journey mapping, and behavioral insights to strengthen messaging and channel strategy.
• Provide pre‑campaign research, forecasting, and data context to anchor strategic and creative work in real‑world intelligence.

• Monitor in‑flight campaign performance to identify opportunities, diagnose underperformance, and inform mid‑flight optimizations.
• Develop A/B and multivariate testing frameworks across media and creative assets to guide continual learning.
• Collaborate with Media Planners and Buyers to refine targeting, messaging, pacing, and investment strategies based on insight‑driven recommendations.
• Apply foundational attribution understanding to help interpret channel contribution and cross‑platform interactions.

• Use analytics and BI tools such as Google Analytics, Adobe Analytics, Looker Studio, Tableau, Power BI, or similar.
• Pull and analyze data from platforms including Meta, Google Ads, DV360, Tik Tok, You Tube, Linked In, and others.
• Work with ETL or data preparation tools (e.g., Adverity, Tableau Prep, Power Query, or similar) to blend and process multi‑source data.
• Uphold data quality through validation checks, troubleshooting, and consistent monitoring of source inputs.

• 2–5 years of experience in marketing analytics, data analysis, or performance reporting — agency experience preferred.
• Strong proficiency in analytics or BI tools (e.g., GA4, Looker Studio, Tableau, Power BI).
• Familiarity with ETL tools, data preparation workflows, or automated data pipelines.
• Experience working with platform data across paid social, search, programmatic, and web analytics.
• Proficiency with Excel/Sheets (pivot tables, v‑lookups, functions) and comfort working with large datasets.
• Ability to translate complex data into compelling narratives that guide decision‑making.
• Clear communication skills with the ability to partner effectively across teams.
• A mindset grounded in curiosity, clarity, and continual improvement.

• Experience with SQL or scripting languages (Python/R) for data manipulation or automation.
• Knowledge of marketing mix modeling (MMM), attribution concepts, or econometric…