Analyzes and interprets data, evaluates results, and provides actionable insights to support strategic decision-making across departments.
We are seeking a detail-oriented and analytical Data Analyst to join our team. You will be responsible for interpreting data, analyzing results, and providing actionable insights to support strategic decision-making across various departments.
Similar Jobs
Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Biotech • Pharmaceutical
Develops and maintains KPIs, dashboards, datasets, and analytical models to measure Medical Affairs impact, resource allocation, performance, and business outcomes. Sources and manages data across systems, identifies trends, supports strategic planning, partners with UI and Medical Affairs stakeholders, resolves data issues, and communicates insights. The role also provides leadership, talent development, and cross-functional collaboration within a pharmaceutical environment.
Blockchain • Fintech • Payments • Financial Services • Cryptocurrency • Web3
Leads advanced analytics, reporting, scalable data models, dashboards, and data pipelines supporting Business and Marketing teams. Partners with senior stakeholders and AI Engineering to implement AI and machine learning workflows, predictive insights, and automation. Develops documentation, drives analytics engineering best practices, and mentors team members. Requires strong SQL, Python, APIs, data modeling, stakeholder communication, project leadership, and blockchain expertise.
Top Skills:
AIAPIsApple MacosBlockchainChatgptEmbeddingsGeminiGoogle SuiteHexMachine LearningPythonSlackSQLSuperset
AdTech • Artificial Intelligence • Big Data • Machine Learning • Marketing Tech • Mobile • Software
Lead complex data analysis across Liftoff’s supply-side business, using optimized SQL on large-scale datasets and BI tools to build dashboards, reporting pipelines, and actionable insights. The role conducts root-cause analysis, evaluates experiments, translates technical developments into business impact, leads cross-functional initiatives, and mentors analysts. It partners with Engineering, Product, Data Science, Finance, Commercial teams, and executive leadership to influence roadmap and operational decisions.
Top Skills:
BigQueryLookerRedshiftSnowflakeSQLTableauTrino
What you need to know about the NYC Tech Scene
As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.
Key Facts About NYC Tech
- Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
- Key Industries: Artificial intelligence, Fintech
- Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
- Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory
