Improvado is seeking a skilled Data Visualization Developer for our Professional Services team to transform complex marketing data into clear, actionable insights using industry-leading visualization platforms. The ideal candidate will have expertise in Looker Studio, Tableau, and Power BI to create compelling visualizations that drive marketing strategy and campaign optimization.
Job listings
As a Senior Data Scientist specializing in Payments & Fraud, you will play a pivotal role in reducing revenue leakage, safeguarding platform integrity, and optimizing the user payment experience. You will leverage data science, experimentation, and machine learning to detect and prevent fraud and abuse and evaluate the effectiveness of risk mitigation strategies.
In this job, you will join our efforts in the application of Network Science to our business. You will use your programming skills to build and maintain pipelines that transform vanilla tabular data into informative graphs. You will also use your analytical skills to come up with useful graph architectures, interpret graphs, visualize graphs, and experiment with different techniques to find interesting patterns hiding in graph data.
Weβre seeking a Senior Data Analyst specializing in product analytics to help shape the future of our revenue cycle management platform. In this highly cross-functional role, you'll collaborate with product managers, engineers, and business stakeholders to gauge opportunities, guide strategy, and inform decisions with data. Youβll explore new datasets, build prototypes, monitor performance, and measure the product impact.
As a Senior People Data Analyst, you will measure and communicate organizational health metrics at an enterprise level, focusing on automation and building analytical solutions that can work at scale. The ability to work in multiple rolesβsuch as consulting, scripting/automation, data visualization, data stewardship/management, and customer serviceβwill be important to your success.
The Data Analyst will play a critical role in transforming complex financial and operational data into meaningful insights to support internal stakeholders. This position requires a blend of analytical expertise, business acumen, and communication skills to deliver actionable visualizations to stakeholders. The ideal candidate is detail-oriented, proficient in data manipulation and visualization, and thrives in an audience-focused, results-driven setting.
At the forefront of driving business growth through data-driven insights, you will own the product backlog for growth-related analytics projects, defining and prioritizing the development of analytics solutions that empower strategic decision-making and optimize key performance metrics. You will work closely with analytics development teams and growth stakeholders to translate business needs into actionable analytics requirements and ensure the delivery of high-impact solutions.
Optimize decisions and execution with analyses through partnering with Client Success, Sales, and Partnerships teams as the data SME for Revenue segments. Create business cases, insights, and dashboards as well as handle experiments to engage Affirmβs external merchant base. Create internal analyses to assess Revenue performance, drive recommendations, and inform critical decisions.
Optimize decisions and execution with analyses, partnering with Client Success, Sales, and Partnerships teams. Create business cases, insights, and dashboards to engage Affirmβs merchant base, demonstrating value proposition and product performance. Create internal analyses to assess Revenue performance, drive recommendations, and inform critical decisions; using insights to serve segment strategy and execution.
Seeking a Senior Data Scientist with experience defining measurement plans and driving analysis roadmaps and influencing stakeholders to guide Servicing Solutions strategy. Develop metrics and scope and execute analysis projects that will uncover opportunities, inform investments, and drive accountability for results. You will also have the opportunity to work closely with other members of the Analytics team on foundational projects.