Data Operations Analyst

TL;DR

Data Operations Analyst (Data Analytics): Develop analyses and financial models using transactional and financial data with an accent on data quality checks, anomaly detection, and ensuring data integrity. Focus on preparing reports, presenting insights to stakeholders, and providing broad-based data support across business units, products, and services.

Hybrid role in Washington, DC or New York. Candidate must be able to submit verification of legal right to work in the United States, without company sponsorship.

Salary Range: $80,000 - $115,000

Company

Health technology company reimagining drug discount data exchange for manufacturers and customers.

What you will do

• Demonstrate creativity using software tools, analytical methods, and models to develop solutions.
• Develop analyses and financial models; perform data quality checks, test plans, anomaly identification, and audits.
• Provide support for small to medium clients or segments of larger projects.
• Prepare reports and presentations communicating insights and recommendations.
• Present data analysis and product performance to stakeholders and teams.
• Support project or product lifecycle in client implementations.

Requirements

• Bachelor's degree or equivalent in business, finance, accounting, statistics, product development, or data analysis.
• 2+ years experience with SQL, R, or Python focused on data analytics.
• Strong technical skills for complex data analytics in SQL, R, or Python.
• Knowledge of market research methodologies including data collection and analysis.
• Strong verbal and written communication skills.
• Commitment to high-quality analysis and attention to detail.
• Team environment experience.

Culture & Benefits

• Freedom to create, collaborate, and grow.
• Leaders are industry experts challenging the status quo.
• Agile and connected culture with interdisciplinary relationships.
• Global reach and resources for complex challenges.