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The BI team is at the forefront of innovation, leveraging cutting-edge technologies and integrating AI into our development processes to deliver impactful insights and drive strategic decisions. We are also dedicated to empowering users across the organization with self-service BI solutions, enabling them to explore data independently and make informed decisions. As a BI Developer in our team, you will work with talented professionals who are committed to pushing boundaries and creating solutions that make a difference. Join us and bring your skills and creativity to shape the future of data-driven excellence
What you will be doing
Collaboration and Communication: Work closely with data analysts, data scientists, tech, finance, and business stakeholders to understand their data requirements to build and deliver data infrastructure, reports, and insights that meet their needs.
ETL Processes: Develop highly scalable complex data pipelines to integrate data from multiple sources, ensure that data is accurately extracted from source systems, transformed into the required format, and loaded into the data warehouse (DWH) (using DBT, Git). It also includes verification and monitoring of data quality (Elementary).
Implement GenAI solutions: As part of the job, you will implement new solutions and tools to improve the efficiency of the teams, support self-service for the users, and provide insights easily, automatically, and quickly.
Data modeling: Responsible for the model, design, implementation, maintenance, and improvement of the data warehouses, as well as ensuring the integrity and security of data. Support users needs including performance and monitor cost
Business Analytics Tools: Design and implement BI tools across the company. Troubleshooting and optimizing the tools and systems to improve performance. This includes ensuring that the reports and dashboards are running efficiently and meeting the user's needs (using ThoughtSpot, and Redash)
Staying Updated with Industry Trends: Keep up with the latest trends and technologies in data solutions, analytics, and business intelligence to ensure that our company stays ahead in leveraging data for business decisions.

The BI team is at the forefront of innovation, leveraging cutting-edge technologies and integrating AI into our development processes to deliver impactful insights and drive strategic decisions. We are also dedicated to empowering users across the organization with self-service BI solutions, enabling them to explore data independently and make informed decisions. As a member of our team, you will work with talented professionals who are committed to pushing boundaries and creating solutions that make a difference. Join us and bring your skills and creativity to shape the future of data-driven excellence.
What you will be doing
As the Data Product Manager for revenue data, you will oversee the entire lifecycle of revenue data. This role requires a technical foundation, deep collaboration with stakeholders, and a strategic vision to ensure the integrity, consistency, and usability of revenue data.
Key responsibilities include:
Stakeholder Collaboration: Work closely with teams across Tech, BI developers, marketing, accounting, and finance to design and optimize payment products that meet the diverse needs of revenue users.
System Adaptability: Ensure the system supports evolving billing and marketing needs.
Data Expertise: Develop a comprehensive understanding of revenue data, APIs, and payment processing logic, including vendor fees and payment flow across stores.
Requirement Gathering: Partner with stakeholders to collect requirements, translate business and technical needs, and create detailed product specifications and documentation.
Revenue Accuracy: Ensure alignment between reported revenue and actual payments from different sources, enabling accurate reporting and actionable insights.
Revenue Management Initiatives: Lead key initiatives to improve payment efficiency and utilization better.
Testing and Monitoring: Define test criteria and monitor systems to maintain data quality and reliability.

We are seeking an experienced Data Engineer to join our Data Platform Engineering group at our company. This group is responsible for providing the technological solutions that best fit the business needs of various stakeholders, including product teams, BI analysts, marketing analysts, finance, data scientists, backend teams, and more.
What you will be doing
Build and own the infrastructure and services required for processing and storing data from a wide variety of sources, including mobile apps and internal/external data producers.
Design and build processes to integrate a wide range of edge systems across multiple cloud providers and handheld platforms reliably.
Assist data consumers across our company in defining requirements and refining existing processes using a wide variety of tools.
Define and own the systems and processes that deliver data to the data warehouse, while maintaining these systems and the warehouse itself.
Identify bottlenecks in internal data processes and resolve them by automating workflows, optimizing data delivery and storage, and redesigning infrastructure for greater scalability.
Integrate new tools and solutions to empower the companys data consumers and help assimilate them effectively.

Were looking for a talented Senior Data Scientist to join our Business Data Science team! As a data scientist, you will work with our marketing and finance leadership, to predict our growth, identify trends, and help us optimize the impact of our marketing budget spend, both in the B2B and B2C areas. This is an exciting opportunity to make an impact!
We are looking for someone who is not afraid of diving into new areas and challenges, thinks outside the box, and knows how to take a business challenge and turn it into a machine learning challenge, and vice versa. As communication and collaboration with different teams and stakeholders is a part of our day to day, we are looking for a team player.
What you will be doing
Lead end-to-end DS projects - from identifying business needs with stakeholders, to research, evaluation, production implementation, and monitoring.
Collaborate with diverse teams - marketing, finance, BI, ML Infra. effectively communicating insights and understanding various business aspects.
Address diverse problems across domains
Tackle challenges related to data, model assumptions, business needs limitations, and production