Data Analytics Lead - 66502748463

Data Analytics Lead Work Hours: Monday to Friday, 9:00 AM - 5:00 PM EST

Pay Range: $4,000 - $5000/month (varies based on skill set and experience level)

Location of Search: LATAM

Work Location: Remote

Company Overview U.S.-based healthcare technology company that helps people with chronic medical conditions access essential medical supplies and manage their healthcare needs from home.

The company combines healthcare services, technology, insurance coordination, and home delivery to simplify the process of obtaining medical supplies.

Its mission is to make home-based healthcare more accessible, affordable, and convenient.

Role Overview As the company’s first Data Analyst, you will be responsible for building out and managing the entire organization’s data and analytics needs. This is a unique opportunity to build an innovative department from scratch within an overlooked segment of the healthcare market.

Duties And Responsibilities

• Develop frameworks and deliver analyses and insights to guide decision-making and prioritization across functions
• Uncover new areas of opportunity to enhance the company’'s new projects
• Manage, build, and automate models and reporting to provide regional stakeholders with actionable insights on volume, efficiency
• Utilize quantitative and qualitative data and analyses to influence business strategy
• Regularly partner with Product, Engineering, Operations, Marketing, Sales & Partnerships
• Present findings, recommendations, and results to senior leadership and cross-functional stakeholders in creative and compelling ways
• Looks for correlation and causation to relate actions to impact
• Identifies solutions to problems that we don’t even know exist yet

Qualifications

• Experience: 4+ years of experience in management consulting, strategic data science/analytics roles in a technology company, or an equivalent analytical role in a high-growth startup
• Experience in consumer technology in healthcare, and product sensibility or business acumen is highly preferred.
• Proficiency in SQL - Ability to independently break down large datasets and synthesize inputs from multiple sources
• Ability to craft a compelling story and concisely present recommendations across teams and levels, including both technical and non-technical audiences
• Ability to use data visualization tools to provide actionable insights and reusable frameworks
• Strong product and user experience sense
• Proven ability to influence, negotiate, and inspire others in a fast-moving environment
• Excellent organization, planning skills, and attention to detail
• Balance between intellectual curiosity and the desire to roll up your sleeves and execute

Note: Please submit your resume in English; otherwise, we may not process your application. We prioritize the processing of one active application at a time. If you have applied for multiple job openings within our organization, we kindly request that you direct any update inquiries to the team responsible for handling your initial application. If selected for the role, the client will determine the final offer based on your interview performance, skills, and experience.