The Senior Data Analyst will take ownership of business intelligence and analytics initiatives. This person will play a critical part in shaping the data culture of our company by defining core business metrics to enabling stakeholder insights through visualizations and deep-dive analyses. This person will work with stakeholders across the company, as well as the executive leadership team, to deliver highly visible analyses.
The Lead Data Partner (with their team) is the proactive force turning data into decisive action: anticipating insight needs, surfacing growth opportunities, influencing and enabling our teams to think sharper, move faster, and deliver greater impact. At Voyage Privé, data is at the heart of the digital transformation we are embarking on in 2025. With hundreds of thousands of daily active users and a few thousand new products available each week, data plays a pivotal role in shaping our future.
Collect, analyze and present data for product management and marketing decisions. Construct and visualize key product metrics and indicators. Design product/marketing features experiments, impact estimation (A/B testing). Diligently monitor user behavior and provide data insights. Conduct deep-dive analyses to uncover hidden product opportunities and propose product improvements based on data insights to drive key metrics.
The Data Analyst, Revenue will help Sierra Club’s revenue teams understand donation patterns, donors, and prospective donors to increase revenue. The data analyst will have ownership over building engaging self-service reports and dashboards. The analyst will work alongside fundraising and donor data management staff to foster a data-informed decision-making culture.
This position will sit within the Consumer Engagement Analytics team and will leverage advanced analytics, experimentation, causal inference, and strategic problem solving to grow our client’s product offerings and support medication optimization processes. The candidate should be able to think independently and critically, enjoys ambiguous problems with data, is highly adaptable, and loves to collaborate with both technical and non-technical leaders.
The Director of Database Management will be responsible for leading the company’s database systems, API data integrations, ETL processes, and assist with Tableau analytics. This role combines hands-on technical work with strategic leadership to ensure reliable, secure, and actionable data across the organization.
Solve ambiguous problems in a fast-paced environment that prioritizes shipping and iterating new features for clients. Collaborate with seasoned engineers, product managers, and data scientists to deliver on business cases, real-time fraud defences, financial modelling, data visualization and ML decision thresholds. Your strategies will mitigate millions of dollars of attempted fraud annually while protecting clients.
As a Data Analyst, you will turn complex datasets into actionable insights that shape strategy and support critical business decisions. Analyze complex datasets to identify trends, patterns, and opportunities for growth. Develop clear and impactful reports, dashboards, and visualizations that drive decision making. Partner with stakeholders across departments to understand their data needs and deliver meaningful insights.
The BI Developer supports the enterprise through reporting and data analysis efforts using various platforms including Medecision Aerial, Mevision, and Quickcap. This role delivers insights through dashboards, standard reports, and ad hoc analyses that support operational, clinical, care management and population health programs. The individual will also contribute to system administration tasks and perform basic maintenance of existing data pipelines.
This role will work across a variety of data sources — from foot traffic and sales to consumer sentiment and supply chain — and help drive smarter, faster, and more predictive outcomes for customers. You’ll play a key part in building our AI-driven insight features, helping clients extract business value from massive and often unstructured datasets.