Senior Analyst, Demand Generation
Listed on 2025-12-23
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IT/Tech
Data Analyst, Digital Marketing -
Marketing / Advertising / PR
Digital Marketing
Join to apply for the Senior Analyst, Demand Generation role at Kele, Inc.
Founded at the birth of the building automation industry in 1983 as Kele & Associates (now Kele Companies), we became the first building automation distributor to offer an all-inclusive platform. Over the next 40 years, Kele Companies has grown into a world class Building Automation Systems distributor with its headquarters strategically located in Memphis, TN and branch locations positioned in 7 states throughout the U.S. Every member of the Kele Companies team plays a key role in delivering on our promise of: “We Make It Easy.”
Role OverviewThe Demand Generation Analyst is a strategic contributor responsible for transforming data into insights that advance Kele's demand generation efforts. This role supports the Sr. Manager of Demand Generation through performance analysis, audience insights, and recommendations that strengthen marketing outcomes across paid media, co‑op marketing, and omnichannel programs. Although this is an analytics‑forward position, the ideal candidate brings both quantitative strength and marketing acumen.
They should understand customer journeys, funnel stages, audience intent, and how to translate performance patterns into marketing actions.
- Performance Analysis and Optimization:
Analyze search term reports, product‑level performance, and GA4 behavior to verify alignment with demand generation strategy and identify when channel performance is on or off target. - Conduct weekly assessments of A/B, multivariate, and incrementality focused holdout and lift tests. Summarize learnings, statistical significance, and recommend next steps.
- Monitor web traffic and behavior patterns to identify anomalies, emerging opportunities, or areas requiring deeper investigation.
- Marketing Insight and Funnel Understanding:
Apply marketing fundamentals such as buyer journeys, funnel stages, and audience intent to contextualize data and improve campaign decision‑making. - Identify meaningful performance drivers behind traffic quality, lead progression, and customer behavior.
- Contribute insight that supports offer strategy, content direction, and audience‑specific messaging.
- Audience Strategy and Omnichannel Segmentation:
Build and maintain omnichannel audiences that support paid media, lifecycle, sales alignment, win‑back programs, and targeted prospecting. - Work with Marketing, Sales, Product, and Data teams to evolve segmentation and audience integration across systems and channels.
- Pipeline and Revenue Insight Support:
Provide analysis of pipeline trends, incremental revenue opportunities, and channel‑level contribution. - Help diagnose friction or opportunity points throughout the demand funnel.
- Co‑Op Marketing Reporting and Supplier Insights:
Own the co‑op reporting board, including updates, accuracy checks, and distribution to suppliers. - Identify insights from co‑op performance and proactively deliver recommendations to the Sr. Manager for supplier conversations and strategy refinement.
- Cross‑Functional
Collaboration:
Contribute to marketing, sales, product and leadership‑facing insights and presentations that simplify complex data into clear recommendations. - Provide input, validation, and improvement suggestions for dashboards managed by the Data team.
- Bachelor’s degree in Marketing, Business, Mathematics, Statistics, Analytics, or a related field, or a minimum of 4 years of relevant marketing or analytics experience.
- Strong understanding of A/B and multivariate testing and basic statistical significance concepts.lis
- Proficiency in Google Analytics 4.
- Solid Excel skills including index match, sumif functions, pivot tables, and basic statistical formulas such as linest.
- Experience using Power BI or similar data visualization tools.
- Ability to transform complex data into insights and clear recommendations that are meaningful to marketers and business stakeholders.
- Familiarity with paid media platforms such as Google Ads, Meta Ads, PMAX, or display advertising tools.
- Understanding of funnel modeling, attribution logic, or incremental lift considerations.
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