Tampa, Florida, United States · On-site
Job DetailsJob Location: LeadingResponse Headquarters - Tampa, FL 33634Position Type: Full TimeLeadingResponse helps clients in financial services, healthcare, legal, and senior living connect with high-intent consumers …
Skills: Predictive Modeling, Marketing Analytics, Tableau, Power BI, SQL
Tampa, Florida, United States · On-site
Job DetailsJob Location: LeadingResponse Headquarters - Tampa, FL 33634Position Type: Full TimeLeadingResponse helps clients in financial services, healthcare, legal, and senior living connect with high-intent consumers …
Skills: Predictive Modeling, Marketing Analytics, Tableau, Power BI, SQL
Tampa, Florida, United States · Hybrid
$49k–$68k/yr
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Tampa, Florida, United States · On-site
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Tampa, Florida, United States · On-site
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Tampa, Florida, United States · On-site
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Tampa, Florida, United States · On-site
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Tampa, Florida, United States · On-site
Description Seven Seas Water Group Seven Seas Water Group (www.sevenseaswater.com) is a portfolio company owned by investment funds managed by EQT. Headquartered in Tampa, with operations across the U.S., Caribbean, and …
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Tampa, Florida, United States · On-site
The Financial Analyst Sr provides advanced, system level financial and decision support analytics to enterprise finance leadership, executive stakeholders, and cross functional teams. This role focuses on enterprise perf…
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Phoenix, Arizona, United States · Remote Solely
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Tampa, Florida, United States · On-site
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Tampa, Florida, United States · Hybrid
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Tampa, Florida, United States · On-site
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Tampa, Florida, United States · Hybrid
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Tampa, Florida, United States · On-site
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Tampa, Florida, United States · On-site
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The manager will lead the insight and modeling layer to drive performance across omnichannel media programs using predictive modeling and reporting. They will collaborate with data engineering and media teams to translate data insights into actionable bidding and targeting strategies.
Requires a bachelor's degree and 6-10+ years of experience in marketing analytics or data science with a focus on predictive modeling. Proficiency in SQL, Python/R, and dashboarding tools like Tableau or Power BI is essential.
Job DetailsJob Location: LeadingResponse Headquarters - Tampa, FL 33634Position Type: Full TimeLeadingResponse helps clients in financial services, healthcare, legal, and senior living connect with high-intent consumers through data-driven, omnichannel marketing. Our consumer-facing campaigns reach millions each month through direct mail, live events, digital ads, and more.
The Marketing Analytics & Data Science Manager owns the insight, modeling, and activation layer that drives performance and efficiency across our media programs. This role blends traditional marketing analytics (reporting, dashboards, attribution) with applied data science (predictive modeling, segmentation, propensity scoring) and hands-on activation strategy across paid digital channels. The ideal candidate is equally comfortable building a Tableau or Power BI dashboard, training a lead-scoring model, and advising a media buyer on how to shift a Google Ads or Facebook budget based on what the data says.
This person will also partner closely with our Data Engineering team to ensure the underlying data infrastructure (AWS data lake, pipelines, feature stores) supports both reporting and model deployment needs.
This position will be based in Tampa, FL or Atlanta, GA.
Develop reporting requirements and documentation to support ongoing business intelligence needs.
Pull, clean, blend, and automate data from multiple sources (media platforms, CRM systems, call tracking, GA4, etc.) into Tableau and/or Power BI.
Build and maintain dashboards that clearly communicate performance trends, KPIs, and business impacts.
Ensure data quality, consistency, and reliability across reports and datasets.
Configure and maintain GA4 properties, conversions, audiences, event tagging, and reporting views.
Evaluate attribution methodologies and understand how performance indicators vary across channels.
Design, build, and validate predictive models supporting lead scoring, propensity to convert, churn/retention risk, and customer lifetime value.
Apply segmentation and clustering techniques to identify high-value audience segments for targeting and suppression.
Develop and maintain model monitoring processes to track performance drift and retraining needs.
Translate model outputs into practical scoring, targeting, or bidding logic that media teams can act on.
Partner with Data Engineering to productionize models, ensuring reliable data pipelines, feature availability, and refresh cadence.
Advise media specialists on how to apply analytics and model outputs directly within Google Ads and social channels like Facebook/Meta (audience targeting, bid strategy, lookalike/similar audience creation, budget allocation).
Measure and report on incremental lift from Google Ads and social channel campaigns (e.g., Facebook/Meta), using lift studies, holdout tests, and geo experiments to isolate true incremental impact from correlation.
Partner with digital marketing teams to design and execute test-and-learn strategies, including experiment setup, measurement plans, and performance readouts.
Recommend channel mix and budget shifts based on model-driven forecasts of efficiency, ROI, and measured lift.
Support the integration of first-party and modeled audience data into ad platform activation (Google Customer Match, Meta Custom Audiences, etc.).
Work with marketing and product teams to ensure accurate tracking alignment from click to lead to conversion.
Collaborate closely with Data Engineering on data architecture, pipeline reliability, and access to clean, model-ready datasets.
Collaborate across departments (Consumer Marketing, Sales, Client Services, Creative, IT) to ensure organizational alignment and effectiveness of marketing activities.
Communicate insights and model recommendations to media specialists responsible for day-to-day campaign management.
Translate complex data and model output into simple, compelling stories for non-technical audiences.
May provide leadership or mentoring to analysts (role can grow into people management).
Present insights to internal teams and occasionally external clients.
Bachelor's degree in Marketing, Data Science, Statistics, Analytics, Computer Science, or related field; advanced degree a plus.
6-10+ years of experience in marketing analytics, data science, or media performance analysis, with demonstrated experience building and deploying predictive models.
Hands-on experience building dashboards in Tableau and/or Power BI.
Proven experience developing models such as lead scoring, propensity models, CLV, or segmentation/clustering (Python or R).
Strong understanding of paid digital channels (Google Ads, Facebook/Meta, LinkedIn), including how to measure lift and activate data/models within those platforms.
Experience working with GA4 (property setup, event structure, reporting views).
Advanced proficiency in SQL for querying and modeling datasets; Excel proficiency expected.
Experience partnering with Data Engineering teams on pipeline design, data quality, and model deployment.
Familiarity with Snowflake, BigQuery, Databricks, or other cloud data warehouses/lakes.
Experience with lead generation funnels and CRM data (Salesforce, HubSpot, etc.).
Experience in high-volume digital performance environments focused on ROI and CAC efficiency.
Ability to translate performance trends and model outputs into actionable strategies for media teams.
Clear communicator with strong presentation skills.
Be part of a dynamic, growth-focused company transforming consumer acquisition through innovation
Gain valuable experience managing paid and organic programs, plus applied data science in production
Collaborate with a high-performing, cross-functional marketing and data engineering team
Enjoy a flexible work schedule and opportunities for professional growth
Creative, fast-paced work environment
Competitive base salary
Two weeks paid vacation during the first full year
Fitness reimbursement
Referral bonus program
Health/Dental/Vision/HSA/FSA coverage available 1st of the month following your hire date
401(k) with company match
Paid holidays
For additional information about LeadingResponse, please visit www.leadingresponse.com. Equal Opportunity Employer, Drug free employer and workplace.
Qualifications
RME360 is now LeadingResponse. Please visit our LinkedIn page: https://www.linkedin.com/company/leading-response/
RME360 is the leader in new client acquisition solutions for financial services professionals. Since 1995, RME360 has worked with the nation’s leading financial services companies, registered investment advisors, broker/dealers, field marketing organizations, and more than 4,000 independent financial advisors and planners. Let us demonstrate how our data-driven, hyper-local and proven direct mail and digital lead generation solutions can dynamically integrate with your business and fulfill your need for a consistent flow of qualified and motivated prospects. Our proven social dinner event, Seminar Success® and Concierge 1-on-1 appointment setting programs bring you face-to-face with your ideal new clients.
Offices: 4805 Independence Parkway, Suite 250, Tampa, FL 33634, US
Based on 437 listings with disclosed salaries, most data & analytics jobs in Tampa, FL pay between $74k–$193k per year. Individual offers vary with seniority, company size, and specialization.
There are currently 764 open data & analytics positions in Tampa, FL listed on Clera. New openings are added daily as companies post roles.
Companies currently hiring include Citi, PwC, USAA, JPMorganChase, Elevance Health, among others. Browse the listings above to see every active employer.
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