

Sr Analyst, Marketing Analytics
β - Featured Role | Apply direct with Data Freelance Hub
This role is a Sr. Analyst, Marketing Analytics on a contract basis, hybrid work location. Requires 5 years in marketing analytics, eCommerce, strong SQL, and experience with visualization tools. Bachelor's/Master's in related fields is essential.
π - Country
United States
π± - Currency
$ USD
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π° - Day rate
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ποΈ - Date discovered
August 2, 2025
π - Project duration
Unknown
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ποΈ - Location type
Hybrid
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π - Contract type
Unknown
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π - Security clearance
Unknown
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π - Location detailed
Orlando, FL
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π§ - Skills detailed
#BI (Business Intelligence) #Customer Segmentation #SQL (Structured Query Language) #Tableau #Strategy #Adobe Target #Data Warehouse #BigQuery #Pivot Tables #CRM (Customer Relationship Management) #Forecasting #Python #Data Governance #Google Analytics #Visualization #Salesforce Marketing Cloud #Cloud #R #AWS (Amazon Web Services) #Data Analysis #Data Science #Microsoft Power BI #Databricks #Leadership #A/B Testing #Looker #Statistics #Snowflake
Role description
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Dice is the leading career destination for tech experts at every stage of their careers. Our client, Hired by Matrix, Inc., is seeking the following. Apply via Dice today!
At-a-Glance:
Are you ready to build your career by joining a global hospitality company? If so, our client is hiring a Sr. Analyst, Marketing Analytics.
Position Type:
β’ Contract
β’ Hybrid - M-T-W in office, Th & F work from home.
Required:
Experience:
β’ 5 years of experience in marketing analytics, preferably in a subscription-based, travel, or consumer services industry.
β’ 3 years of:
β’ Digital Reporting experience using visualization reporting tools such as Looker Studio, Tableau, Power BI or Domo.
β’ Experience with A/B Testing & Personalization Testing experience, with tools such as Adobe Target/Google Optimize, Maxymiser, or Other, required.
β’ eCommerce analytics experience, required.
β’ Experience in working with Clickstream data in Google BigQuery or other data warehouse solutions like AWS or Snowflake.
β’ Strong SQL skills, a deep understanding of marketing KPIs, and the ability to clearly communicate complex data to business stakeholders.
Education:
β’ Bachelor s or Master s degree in Marketing, Statistics, Business, Economics, Data Science, or related field required.
Knowledge and Skills:
β’ Ability and strong desire to think analytically, to be able to identify and solve problems through data analysis.
β’ Strong understanding of marketing channels (email, paid media, direct mail, and web) and related KPIs, report formatting, and accuracy is mandatory.
β’ Successful organization skills and ability to execute effectively on assigned workload.
β’ Confident, clear, effective communication - both internal teams and client-side.
β’ Flexible, adaptable, and able to function effectively under pressure (continually maintains a professional demeanor).
β’ A team player who is self-motivated, enthusiastic, and customer-centric.
Technical Skills:
β’ Proficiency in SQL for data querying and manipulation required.
β’ Able to analyze large sets of raw data, draw conclusions and relationships and develop actionable recommendations.
β’ Experience with data visualization tools (e.g., Tableau, Power BI, and Looker).
β’ Advanced Excel skills, including experience-using formulas, pivot tables etc.
β’ Advanced MS PowerPoint skills.
β’ Familiarity with Google Analytics, CRM platforms (e.g., Salesforce Marketing Cloud), or CDPs (e.g., Simon Data, Hubspot).
β’ Experience in statistical software suites (R, Python, Databricks) - Nice to have.
Responsibilities:
β’ Supports the Marketing Analytics & Testing team.
β’ Manages the daily work activities.
β’ Play a critical role in delivering actionable insights, optimizing marketing performance, and shaping data-driven decision-making across multiple channels.
β’ Analyze and interpret data from digital and traditional marketing campaigns to evaluate performance and uncover growth opportunities.
β’ Develop and maintain dashboards and reports to monitor campaign KPIs, customer segments, and channel effectiveness.
β’ Collaborate with marketing, product, and analytics stakeholders to define campaign measurement plans and ensure consistent tracking.
β’ Support A/B testing design, implementation, and analysis to optimize creative, targeting, and offer strategies.
β’ Build customer segmentation and predictive models to inform audience strategy and personalization.
β’ Present findings and strategic recommendations to senior leadership and cross-functional teams.
β’ Support marketing forecasting, budget allocation, and ROI analysis.
β’ Mentor junior analysts and contribute to best practices in marketing analytics and data governance.
Get in Touch:
If you think you'd be a good match, submit your resume and reach out to Prakash at 86-895-5283 to learn more.