Top Hybrid Data Analysis Jobs

Lead analytics efforts to design and analyze experiments, perform causal and exploratory analyses, develop and monitor KPIs, build dashboards, and translate insights into recommendations for product, marketing, and business stakeholders while mentoring analysts.

Support data and customer-success functions by entering, cleaning, and analyzing data; maintain databases; assist clients with LevPro configuration, demos, onboarding, and implementation; identify process improvements and help build client relationships.

The Senior Data Analyst gathers BI requirements, analyzes enterprise and offline datasets, writes and optimizes SQL queries, and builds dashboards using Power BI, Tableau, and Domo. The role translates business needs into technical specifications, designs dashboard wireframes, validates data, documents processes, and collaborates with engineering, product, and business teams. Knowledge of the US trust business is essential for interpreting data within financial and regulatory contexts.

The Manager, Identity Fraud Strategy oversees identity verification and authentication strategies, leads a fraud analytics team, and partners with CIAM to minimize fraud while enhancing customer experience.

Analyze user behavior data to identify friction points, recommend changes for conversion optimization, and collaborate with teams to improve user flows through data-driven insights.

As a Deployment Strategist, you will analyze data to solve client problems, engage with customer teams, and present solutions that enhance decision-making processes.

Lead and grow a marketplace growth analytics team to drive product and marketplace performance. Define success metrics, own experimentation strategy, deliver rigorous analyses (forecasting, causal inference, predictive modeling), partner with Product/Engineering/Finance, and translate insights into prioritized product decisions and reliable reporting. Balance strategic leadership with hands-on analytics and embed measurement into the product development lifecycle.

As a Pricing and Revenue Planner, you will manage pricing analytics, forecasting, synthesizing data into actionable insights, and collaborating with various teams to drive revenue improvements and profitability analysis.

Lead data analysis projects to help merchant partners understand Upside's impact, manage analytics relationships, and improve product strategy.

Collects and analyzes consumer, market, and campaign data; develops statistical models; builds dashboards and customer presentations; and translates analytics into insights and recommendations. Collaborates with teams and clients to explain results, solve business problems, and support improved decision-making and performance.