As the Senior Data Engineer at tvScientific, you will be a key player in implementing the robust data infrastructure to power our data-heavy company. You will collaborate with our cross-functional teams to build out our core data pipelines, store data in optimal engines and formats, and feed our machine learning models. This is an individual contributor role.
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In this role, you will be responsible for managing data, uncovering insights, and developing strategies that drive business growth. Youβll collaborate closely with cross-functional teams across Sales, Marketing, Finance, Data, and Support, and engage directly with account executives, marketing managers, finance controllers, data analysts, and subject matter experts.
As a Data Scientist at Busha, the role will be at the core of strategic initiatives, tackling complex business problems by applying advanced analytical techniques, designing machine learning models, and translating raw data into actionable insights that will shape product development, operational efficiency, and customer experience.
We are looking for a Business Intelligence Analyst to support our digital and marketing analyticsΒ efforts. This role will contribute to improving the online booking experience, optimizingΒ performance across digital channels, and helping define the metrics that guide growth. You will collaborate with analytics, engineering, and marketing teams to buildΒ scalable data solutions and deliver actionable insights.
The Business Intelligence and Data Operations team is looking for a strategic leader who can combine business acumen, technical and analytical skills to meet and deliver on product analytics needs across the organization. A successful Director of Product Analytics will challenge traditional thinking and drive business through data in new ways.
Design and produce standardized reporting for stakeholders. Develop and manage to milestones and timelines for BI and reporting initiatives. Develop and enhance the data warehouse utilizing best practices. Analyze complex table structures and document data elements, data flow, relationships and dependencies. Prep, ingest, and cleanse data in data warehouse. Source and integrate data from multiple platforms. Create, maintain, and monitor alerts.
A senior leader to own data quality, guide ambiguous workstreams, and break big-picture goals into executable chunks. Plays a crucial role in building new advertising business from the ground up, with a focus on data ingestion, analysis, and reporting. A unique opportunity to own projects from end-to-end, work with novel data sources, and provide strategic thought leadership in a fast-paced environment.
As a HTA statistician, you understand all aspects of planning, conducting, and evaluating clinical trials and can develop an HTA strategy. As an expert for all statistics topics, you are part of a cross-functional project team. You plan an HTA strategy and create local analysis plans.
In this role, you will develop and optimise core algorithmic models in marketing scenarios, including user behaviour prediction, profiling, ROI estimation, and traffic allocation strategies. You will design and build precision marketing models such as CTR/CVR prediction, LTV forecasting, and channel attribution analysis, leveraging user profiles, real-time behavioural data, and business objectives.
This role is responsible for providing data to marketing teams through the creation of dashboards and reports, focusing on the conversion funnel and integrating different data sources. The specialist will also analyze and suggest optimization in the conversion flow through AB tests, and manage the operation of the tag manager, ensuring quality in data collection.