The Snr. Data Analyst will conduct full lifecycle data analysis including gathering requirements, wrangling data, building data models, designing visualizations, presenting stories, and has experience in analytical data warehouses as well as in business intelligence tools. This role will involve working closely with business stakeholders and the data engineering team.
The Impact Data Specialist will translate program and impact data into clear insights, build dashboards, maintain data products, and create reporting tools. They will support internal users, assist BBBS agencies, and help integrate data into practice to improve youth outcomes. This role requires data analysis, visualization, and communication skills.
Be directly responsible for the performance of enterprise merchants. Research real-time fraud patterns with our Risk Intelligence team. Deploy fraud-fighting rules and model threshold adjustments to combat fraud in real-time. Improve the important components of the Signifyd Commerce Protection Platform. Communicate complex ideas to a variety of audiences, including executives. Contribute to building production machine learning models that identify fraud.
Partner with the PDN team to understand reporting needs and deliver impactful business intelligence solutions. Design, develop, and maintain dashboards and reports using tools such as Tableau, SQL, and other BI platforms. Analyze large datasets to uncover trends, patterns, and opportunities that support strategic initiatives.
The Senior Data Analyst will be the most senior team member with a strong technical background and will be responsible for leveraging Traackr’s extensive dataset to help clients optimize their influencer investment and performance, focusing on performance measurement, spend optimization, and return on investment.
Build production machine learning models that identify fraud, write production and offline analytical code in Python and work with distributed data pipelines. You will communicate complex ideas effectively to a variety of audiences and collaborate with engineering teams to strengthen our machine-learning platform.
Be directly responsible for the performance of enterprise merchants with household names. Research real-time new fraud patterns with our Risk Intelligence team. Improve the important components of the Signifyd Commerce Protection Platform.
Lead a team of data specialists to strategize, research, design, develop, deploy, and test robust, streamlined, automated data collection systems supporting use-cases to the (re)insurance industry. You will own the strategy for the Data Collection function and develop and test ideas for new collection initiatives. Manage the entire third-party data lifecycle, including sourcing, contracting, negotiation, and post-contract account management.
As a Data Analyst at CareMessage, you will collect, validate, transform, interpret, and visualize data to inform decision-making processes across the organization. You will use your business acumen, analytical skills, and proficiency with SQL and data visualization tools to turn raw data into actionable insights. Your work will guide measurable, scalable improvements to access to care, clinical outcomes, and social determinants of health for supported populations.
Seeking an experienced Data Analyst with a focus on process optimization, business intelligence & KPIs, and stakeholder communication who is motivated, creative, and personable to join our dynamic data team. The ideal candidate will possess a strong analytical mindset, proficiency in current data reporting technologies, and the ability to transform raw data into actionable insights that drive strategies.