Customer Insights, Data Analytics
Location
Florida
Posted
2 days ago
Salary
$100K - $140K / year
Seniority
Lead
Job Description
Job Requirements
- Bachelor's degree required in Supply Chain, Data Analytics or equivalent
- Master's degree preferred in Supply Chain, Data Analytics, MBA or equivalent
- Ph.D. preferred in Supply Chain, Data Analytics
- Ten (10) years or more Applied Project(s) experience in digital transformation, data management in an educational/project
- Ten (10) years or more experience in creating dashboards for diagnostic analysis across the business
- Experience working in a cloud environment.
- Strong verbal and written communication skills
Benefits
- comprehensive health and welfare benefits
- medical
- prescription
- dental
- vision
- life insurance and disability insurance options
- paid time off for vacation, illness, bereavement, family and parental leave
- tax-advantaged 401(k) retirement savings plan
Related Guides
Related Categories
Related Job Pages
More Data Analyst Jobs
Strategic analytics leader driving healthcare data decisions at OpenLoop
Data Analyst supporting analytics initiatives for Salute’s data center clients
Data Analyst
At Dawn CampaignsAt Dawn Campaigns is building tomorrow's campaigns. From politics to public affairs, we are pioneering strategies that keep pace with new media and internet culture. We build digital communities on emerging platforms, and when necessary, channel online energy into offline grassroots action. We lean into live content, because audiences crave the authenticity it demands – scripts be damned. We help our partners reach corners of the internet they didn't know existed, or at least don't visit. Because we live there. Our team includes public affairs veterans, coalition builders, long-time political hacks, operatives at the cutting edge of digital media, strategic communicators, tech geeks, content creators, and our fair share of terminally online digital natives with expertise in cringe detection. In the last election cycle, At Dawn Campaigns was the primary vehicle for gaming media outreach, targeting the young and mostly male voting demographic that is key to future electoral success. We also teamed up with content creators to produce livestream events that garnered tens of millions of views. Innovate, iterate, repeat. Now, we are working with campaigns, candidates, causes, foundations, media companies, and content creators – and shaping what winning campaigns do next. Learn more at www.atdawncampaigns.com . Candidates from all backgrounds are encouraged to apply. We are an equal opportunity employer.
The At Dawn Streamer Accelerator is seeking a curious and data-driven Data Analyst to join our team. In this role, you will collect, track, and analyze social media data across a wide range of emerging and established platforms, translating raw metrics into actionable insights th...
Intern - College - Enterprise Data Analytics - Remote CA - N
VituityAt Vituity you are part of a larger team that is driven by our purpose to improve lives. We are dedicated to transforming healthcare through our culture by working together to tackle healthcare’s most pressing challenges from the inside. Even when you are working remotely, you are an important part of the Vituity Community. We offer plenty of opportunities to engage with other Vitans through a variety of virtual meet-and-greets, events and seminars. Monthly wellness events and programs such as yoga, HIIT classes, and more. Trainings to help support and advance your professional growth. Team building activities such as virtual scavenger hunts and holiday celebrations. Flexible work hours. Opportunities to attend Vituity community events including LGBTQ+ History, Día de los Muertos Celebration, Money Management/Money Relationship, and more.
The intern will perform data exploration, cleaning, preprocessing, and visualization using Python, and develop/evaluate baseline machine learning models using scikit-learn. Responsibilities also include querying datasets with SQL, producing clear documentation, delivering reproducible project outputs, and presenting findings to stakeholders.


