Analyst Data Strategy & Analytics

Role Overview

As an Analyst Data Strategy & Analytics, you will be responsible for ingesting, QA’ing, cleaning, transforming, visualizing, and interpreting digital marketing performance data. You will need outstanding problem-solving abilities, comfort with manipulating large sets of data, and excellent English communication skills.

What You Will Do

Manage digital media, third party, and client data across multiple clients. Unify and translate large sets of data from different data sources into cross-channel visualizations, dashboards, and reports for both Kepler and client usage.

Why It Might Be a Fit

You will work with and learn from the smartest people in the industry. You will have opportunities for growth and development, including ongoing learning and development, opportunities to pursue business-related side projects and Hackathons, and an environment of learning from peers.

Requirements

• 6 month to 1 year of experience in Data Analysis and Analytics environments and/or recent graduate of Data Analytics, Engineering and related fields
• Strong analytical and problem-solving abilities
• Strong interest (or experience) in marketing and digital media analytics (including display, mobile, social and search)
• Comfort with MS Excel and large sets of data, with the ability to think creatively about challenging problems
• Excellent bilingual communication skills in English (level B2+/C1) and Spanish
• Strong proficiency with SQL
• Ability to self-manage, juggle multiple priorities, and pay strong attention to detail
• Ability to contribute to an entrepreneurial, team-based environment

Benefits

• Competitive health and dental benefits
• Tuition reimbursement and training stipend
• Hybrid Office/WFH Schedules: office supplies, internet, and phone stipend
• Work from Anywhere 4 weeks per year
• Stocked kitchen, and other team outings
• Collaborative and friendly work space, easily commutable location
• Volunteering & altruism opportunities
• Team building lunches and events, and company celebrations

Tagged as: Data Analysis, Excel, SQL