Top Hybrid Data Analysis Jobs

Conduct competitive intelligence research and analysis supporting RFPs, pitches, presentations, and business development. Develop company, industry, and individual profiles; analyze datasets; maintain legal experience repositories and firm statistics; and create concise marketing deliverables. Use and document AI-assisted research workflows while validating accuracy and confidentiality. Collaborate with attorneys, business development teams, partners, practice managers, and graphics staff while managing shifting priorities and internal client requests.

Supports underwriting portfolio management by sourcing, validating, and analyzing internal and external data. Evaluates portfolio performance, competition, market trends, and strategic opportunities; develops predictive analyses, dashboards, visualizations, reports, and presentations. Leads end-to-end analytical projects and explores automation, AI, and emerging technologies. Collaborates with underwriting, actuarial, claims, finance, and analytics teams to translate complex findings into actionable business recommendations.

Entry-level Business Analysts analyze credit risk, pricing, underwriting, partnerships, and business operations. Responsibilities include using quantitative and qualitative data, SQL or Python, visual analytics, estimation, simulation, competitive analysis, and KPI development to support data-driven decisions. Analysts identify improvement opportunities, evaluate business changes, communicate findings, collaborate cross-functionally, and present recommendations to stakeholders and senior management.

Reviews and processes music royalty statements, validates data, investigates inconsistencies, and transforms financial reports into standardized datasets. Builds Python automation tools, collaborates with Engineering and business teams on internal workflow improvements, monitors operational metrics, and recommends ways to improve processing speed, accuracy, and scalability. The role supports investment, research, finance, and pricing decisions while helping design scalable royalty-data processes.

Conduct market, competitive, customer, product, industry, and performance analysis to support data-driven decisions across Lifecycle Services. Develop market insights and plans, guide go-to-market activities, monitor competitors, build cross-functional data-sharing programs, and support voice-of-customer, partner, and employee research. Collaborate with product management, marketing, sales, and global teams while using AI-based tools and quantitative and qualitative research methods.

Develops pre-trade analytics, risk monitoring, P&L reporting, pricing and hedging models for mortgage-backed securities and rates products. Partners with traders and sales to analyze MBS pools, TBA spreads, and interest-rate strategies. Automates data workflows, improves trading infrastructure, conducts quantitative research and backtesting, and uses market analytics platforms to support front-office trading decisions.

Research global logistics trends, competitor activity, industry developments, and macroeconomic factors. Analyze qualitative and quantitative data to identify opportunities and risks, then translate findings into strategic recommendations and transformation initiatives. Create reports, presentations, dashboards, and business cases for senior leadership while tracking the impact of implemented strategies.

Collects, cleans, validates, and analyzes government and industry data. Develops recurring reports, dashboards, visualizations, briefing materials, and analytical summaries. Maintains databases and data documentation, supports data quality and governance, responds to data requests, and coordinates with government personnel on reporting priorities.

As a Data Analyst at GigSafe, you'll manage data pipelines, analyze data using Python and SQL, and convert insights into actionable business decisions in a collaborative environment.

Join Waterfall and help innovate NFT pricing mechanisms with a flexible role. Compensation varies based on role and experience.