Junior Data Analyst

Alchemy Worx•New York, NY

21d•$65,000 - $75,000•Hybrid

About The Position

We’re an audience-management agency obsessed with retention. Through email and SMS, we blend data science, time-tested tactics, and the latest AI tools to help brands maximize customer lifetime value. The Opportunity You’ll be the engine behind our reporting and analytics: building and refining dashboards, dissecting campaign performance, and crafting predictive models. You’ll translate data into insights for both our clients and internal teams—accelerating campaign ROI, improving deliverability, and elevating every touchpoint. This is a NY based position, requiring 3 days per week in the NY office.

Requirements

You have a deep passion, curiosity, and understanding of advanced data analysis and a strong business sense
You are a self-starter, problem solver, resourceful, and are able to work with limited supervision
You are flexible and able to manage multiple tasks and deadlines
You are a strong verbal and written communicator and excellent collaborator that values building strong relationships with colleagues, clients, and other stakeholders
You have the ability to understand complex topics/processes/problems and explain them to your colleagues in simple terms
You are customer, results, and solutions oriented
1+ year in a data analytics role (marketing, e-commerce, or ad agency preferred), or equivalent graduate degree
Bachelor’s in Computer Science, Statistics, Math, Economics, or similar
Expert in Excel and dashboarding platforms (Looker, Tableau, PowerBI)
Demonstrated ability to drive insights and recommendations from large datasets

Nice To Haves

Hands-on experience with email-service-provider platforms (e.g., Klaviyo, Listrak)
Programming Experience (SQL, Python, R)
A/B testing or conversion rate optimization experience
Google Analytics + marketing attribution knowledge
Coursework or side-projects in data science, machine learning, or AI

Responsibilities

Analyze & advise: Dive into large email, SMS, and eCommerce datasets to surface trends, pinpoint optimization opportunities, and map them back to client goals.
Build & iterate: Create self-serve dashboards and advanced Excel models (VLOOKUP, INDEX/MATCH, SUMIFS, COUNTIFS) to monitor KPI and uncover trends
Predict & prescribe: Develop predictive and clustering models in Python or R to forecast deliverability, engagement, and churn, then turn insights into action plans.
Own the analytics workflow: Streamline on-shore and offshore reporting processes, enforce data-governance best practices, and build proofing checklists to guarantee hygiene and accuracy.
Leverage AI: Experiment with AI frameworks to automate repetitive tasks, enrich reporting, and turbocharge data-driven decision making.
Collaborate & communicate: Present findings and strategic recommendations to cross-functional teams and clients in clear, compelling narratives.