Staff Data Analyst

Job not on LinkedIn

November 21

Apply Now

Receive Emails with Similar Jobs

Jellyfish

WebsiteLinkedInAll Job Openings

Media • Marketing

Jellyfish is a global digital marketing agency that combines creative talent, technology partnerships, and strategic expertise to help brands perform and grow globally. With over 2,000 employees spread across 42 offices in 22 countries, Jellyfish supports ambitious brands through innovative campaigns, a strong relationship with new and emerging technologies, and a unique business model that empowers innovation. Their expertise spans creative media, technology, and data strategy, contributing to their reputation as more than just a traditional agency.

1001 - 5000 employees

📱 Media

📋 Description

• Facilitate data-informed decision-making across the organization • Partner with leaders at all levels to understand important business problems, then own the full lifecycle of data-driven solutions: analysis, metric definitions, transformation pipelines in dbt, experimentation, measurement, and data story-telling • Collaborate with Product, Research, Customer Success, and Rev Ops to provide data products allow them to better measure the impact of their work and find new opportunities • Work with data engineers on our team to help build our new Lake House in Databricks and document vital context about our data that can be used by both stakeholders and AI tools • Increase your impact by continuously learning and evolving your workflows as AI technology matures. Form opinions that help Jellyfish support its customers in their AI journeys. • Enable your stakeholders to have a bigger impact through the use of AI in their own analytics workflows. As necessary, build the data tools they need, be their expert-in-the-loop, or influence them to adopt new workflows. • Be a leader in data best practices across the Research team and Jellyfish; mentor other team members to help in their growth

🎯 Requirements

• Strong knowledge of SQL (preferably Databricks, Snowflake, or Redshift) • Experience with data quality best practices and building data models in dbt • Experience using Python (numpy, pandas, sklearn, etc.) across exploratory data analysis or predictive modeling • Proven leadership and a track record of shipping improvements with product or GTM teams • Proven ability to influence senior decision-makers with data-driven insights • Strong perspective on using the appropriate data solution for the business need at hand • Strong perspective on scaling analytics solutions across a company for both technical and non-technical users • Ability to thrive in a fast-paced, constantly improving, start-up environment that focuses on solving problems with iterative technical solutions • Growth mindset and flexibility to adapt to changing technology and workflows

🏖️ Benefits

• Occasional travel may be required • Fun, collaborative environment • Professional development opportunities