Top Data & Analytics Jobs

Conduct quantitative analysis of macroeconomic, market, consumer, and business trends using first- and third-party data. Translate findings into accessible public-facing research, written content, visualizations, and interactive tools for Wealthfront’s blog, newsletter, social media, and media channels. Monitor economic news, collaborate with content and communications teams, and participate in media, podcast, and video interviews.

Guide customers through data integration and migration, analyze data quality, identify and resolve anomalies, support validation and system synchronization, and document troubleshooting practices. The role communicates recurring data trends to product and engineering teams, improves operational processes, and enhances customer self-service. It requires professional QuickBooks experience, customer-facing technical support or onboarding experience, strong communication, and problem-solving skills.

Conduct executive-level interviews with investors, analysts, executives, and board members; recruit respondents, meet study quotas, build professional rapport, and support qualitative and quantitative research projects. Summarize findings clearly for senior audiences while managing multiple studies, collaborating with research teams, and maintaining accuracy, responsiveness, and high-quality deliverables across time zones.

Conduct data analysis and AI R&D projects with the CTO, consolidating Acumatica and business-system data into reliable datasets, dashboards, reports, and automations. Investigate data quality issues, document metrics, develop scripts and lightweight applications, and evaluate emerging AI tools including LLM APIs and MCP. Support reporting, testing, troubleshooting, and occasional end-user technical assistance while communicating findings and recommendations to Operations, Sales, and Leadership.

Own B2B pipeline and B2C growth analytics, including attribution, acquisition, registration funnels, SEO performance, forecasting, dashboards, experimentation, and marketing measurement. Partner with marketing, growth, product, sales, and data engineering to establish reliable metrics, improve reporting, guide investment decisions, and communicate actionable insights. The role also contributes to dbt models, semantic layers, AI-assisted analytics, and analyst mentorship.

Supports quantitative trading analysis by analyzing proprietary market data, developing execution signals and impact models, creating visualizations, backtesting trading features, and evaluating algorithm performance. The intern will work with quantitative analysts on execution strategies, market microstructure, statistical analysis, and client-facing research materials. This is a 12-week, New York-based internship requiring advanced Python, pandas, SQL, computational finance, statistics, mathematics, and exposure to machine learning.

Perform forensic data analysis and fraud detection using SQL, Python/R, ML, big-data tools and visualization. Develop detection models/rules, evaluate anti-fraud tools, manage engagements, communicate findings to stakeholders, and lead project teams in investigations and compliance remediation.

Leads organizational data analytics, performance measurement, impact evaluation, dashboards, reporting, data governance, and KPI development. Translates complex data into actionable insights for leaders, funders, and stakeholders; supports strategic planning, grants, fundraising, and continuous improvement. Builds data literacy, strengthens data practices, and supervises the Data Coordinator.

Leads a prospect development department supporting philanthropic growth through prospect research, predictive capacity modeling, portfolio optimization, due diligence, donor identification, metrics, projections, and executive business intelligence. Supervises professional teams, advises Foundation leadership, develops strategic initiatives, and directs CRM and prospect research operations within nonprofit and California regulatory environments.

Leads SimpliSafe’s enterprise consumer insights function, owning quantitative and qualitative research across Marketing, Product, and Customer Experience. Establishes customer-truth standards, oversees research operations, vendors, and budgets, and translates market and customer data into strategic recommendations for product development, go-to-market, brand, and customer experience. Manages and develops a high-performing insights team while influencing executive decisions and advancing customer-centric, evidence-based decision-making.