Online gifting marketplace with vendor partnerships
No salary listed
New York, NY, USA
In Person
Category
Data & Analytics (2)
,
Required Skills
Power BI
Microsoft Azure
Python
R
SQL
Hubspot
Tableau
Salesforce
AWS
Snowflake
Google Cloud Platform
Google Analytics
Requirements
Currently pursuing or recently completed a degree in Computer Science, Data Engineering, Marketing Analytics, or a related field.
Strong programming skills in Python, SQL, or R for data processing and analysis.
Experience with data visualization tools (Tableau, Power BI, or Google Data Studio).
Familiarity with APIs and tools like Google Analytics, HubSpot, Salesforce, or similar marketing platforms.
Knowledge of cloud-based data services (AWS, Google Cloud, Azure) is a plus.
Understanding of data warehousing concepts and relational databases.
Strong problem-solving skills and attention to detail.
Strong attention to detail and ability to interpret data for business insights.
Ability to work in a fast-paced environment and collaborate across teams.
Excellent communication skills and the ability to present findings clearly.
Self-motivated, eager to learn, and capable of working in a fast-paced environment.
Responsibilities
Assist in automating marketing data workflows and integrating data sources into cloud-based platforms (e.g., AWS, Google Cloud, Snowflake)
Assist in measuring campaign performance, customer engagement, and ROI using key metrics.
Analyze large datasets to uncover customer insights and campaign performance metrics.
Collaborate with marketing teams to improve audience segmentation and personalized marketing efforts.
Assist in A/B testing, attribution modeling, and predictive analytics for marketing optimization.
Work with APIs to extract, clean, and structure marketing data for analysis and reporting
Stay updated on data engineering best practices and emerging MarTech trends.
Generate reports and dashboards to track trends, customer behavior, and marketing effectiveness.
Support the implementation and optimization of marketing analytics tools and dashboards
Conduct market research and competitor analysis to identify new opportunities.
Collaborate with the marketing and product teams to enhance customer segmentation and targeting efforts.
Assist in creating data visualizations and presentations for stakeholders.
Develop and maintain ETL pipelines to collect and transform marketing data from various platforms (Google Analytics, CRM, social media, etc.).
Stay up to date with industry trends, digital marketing best practices, and emerging data analysis techniques.
Desired Qualifications
Knowledge of cloud-based data services (AWS, Google Cloud, Azure) is a plus.
Job Title: Data Marketing Engineer Intern
Location: ONSITE / IN-OFFICE NYC
Duration: 6 MONTHS
Department: Marketing & Analytics
About Us
At Gesture, we're redefining how brands connect with their audiences using innovative marketing technology. We specialize in creating impactful, tangible experiences that strengthen relationships between consumers and brands. Our mission is to lead the future of e-commerce mar-tech by empowering brands to deliver unforgettable connections. At Gesture, you'll join a vibrant culture where creativity, collaboration, and professional growth thrive. If you're ready to be part of a fast-moving, forward-thinking team that's reshaping the marketing landscape, Gesture is your next career destination.
What We’re Looking For:
We are looking for a Data Marketing Engineer Intern to join our team and help bridge the gap between data engineering and marketing analytics. This role will involve working with marketing and data teams to collect, process, and analyze data, automate workflows, and develop data pipelines that improve marketing decision-making. The intern will gain hands-on experience in data integration, analytics, and marketing technology (MarTech).
Key Responsibilities:
Assist in automating marketing data workflows and integrating data sources into cloud-based platforms (e.g., AWS, Google Cloud, Snowflake)
Assist in measuring campaign performance, customer engagement, and ROI using key metrics.
Analyze large datasets to uncover customer insights and campaign performance metrics.
Collaborate with marketing teams to improve audience segmentation and personalized marketing efforts.
Assist in A/B testing, attribution modeling, and predictive analytics for marketing optimization.
Work with APIs to extract, clean, and structure marketing data for analysis and reporting
Stay updated on data engineering best practices and emerging MarTech trends.
Generate reports and dashboards to track trends, customer behavior, and marketing effectiveness.
Support the implementation and optimization of marketing analytics tools and dashboards
Conduct market research and competitor analysis to identify new opportunities.
Collaborate with the marketing and product teams to enhance customer segmentation and targeting efforts.
Assist in creating data visualizations and presentations for stakeholders.
Develop and maintain ETL pipelines to collect and transform marketing data from various platforms (Google Analytics, CRM, social media, etc.).
Stay up to date with industry trends, digital marketing best practices, and emerging data analysis techniques.
Who You Are:
Currently pursuing or recently completed a degree in Computer Science, Data Engineering, Marketing Analytics, or a related field.
Strong programming skills in Python, SQL, or R for data processing and analysis.
Experience with data visualization tools (Tableau, Power BI, or Google Data Studio).
Familiarity with APIs and tools like Google Analytics, HubSpot, Salesforce, or similar marketing platforms.
Knowledge of cloud-based data services (AWS, Google Cloud, Azure) is a plus.
Understanding of data warehousing concepts and relational databases.
Strong problem-solving skills and attention to detail.
Strong attention to detail and ability to interpret data for business insights.
Ability to work in a fast-paced environment and collaborate across teams.
Excellent communication skills and the ability to present findings clearly.
Self-motivated, eager to learn, and capable of working in a fast-paced environment.
What You’ll Gain:
Hands-on experience in data-driven marketing analysis, marketing data engineering and analytics.
Opportunity to contribute to data-driven marketing strategies.
Exposure to real-world marketing campaigns and cloud platforms.
Opportunity to work with experienced marketing professionals and data analysts.
A chance to make an impact with data-backed recommendations.
How to Apply
If this opportunity excites you, we’d love to hear from you! Submit your resume and a cover letter highlighting your key skills, accomplishments, and what draws you to Gesture. Feel free to include examples of relevant projects or coursework.
What Gesture.vip does: Gesture.vip runs an online gifting platform that connects users with a curated selection of gifts and experiences, allowing individuals to send gifts and businesses to show employee appreciation through delivery-enabled purchases. How its product works: Users browse a curated catalog, place an order online, and have the gift delivered to the recipient. Gesture.vip partners with multiple vendors and earns revenue from direct sales and service fees, including a markup on gift costs and delivery charges. How it differs from competitors: It emphasizes a simple, takeout-like experience for gifting and offers a broad mix of gifts and personalized experiences through vendor partnerships, targeting both individuals and businesses, which helps streamline the entire gifting process. What the company aims to achieve: To make gifting more gratifying and less cumbersome by providing a seamless, easy-to-use digital marketplace for gifts and experiences.
Company Size
51-200
Company Stage
Seed
Total Funding
$2.6M
Headquarters
New York City, New York
Founded
2017
Simplify's Take
What believers are saying
Growth funding from Decathlon Capital Partners scales operations and expands consumer offerings.