Top Data & Analytics Jobs

As a Strategic Marketing Analyst, you will collect and analyze data from various sources to support recommendations for community positioning. Responsibilities include performing competitive evaluations, analyzing consumer preferences, conducting focus groups, and communicating findings effectively.

As an Associate Scientist I, you'll prepare high-throughput sequencing libraries, conduct DNA sequencing, maintain DNA analyzers, and communicate with customers. You'll utilize your molecular biology knowledge and gain new skills while ensuring quality in a fast-paced NGS laboratory.

The Supervision Analyst is responsible for analyzing sales activities, conducting secondary transaction reviews, and evaluating advisor behavior to ensure compliance and mitigate conflicts of interest. This role involves collaborating with compliance departments, managing inquiries, and delivering analytical summaries while maintaining relationships with business partners.

As a KYC Analyst, you will manage the KYC process for corporate clients, ensuring timely client outreach to gather necessary documents and compliance with KYC regulations. You will work with Relationship Managers, share KYC progress across departments, and assist in various non-KYC-related tasks as required.

As a Sr Data Scientist, you will collaborate with cross-functional teams to execute data enrichment and feature selection, evaluate and deploy candidate models, and ensure ongoing model stability through monitoring. You will lead client discussions about functionality and prepare sales materials while guiding a team in impactful data science initiatives.

As a Senior Data Scientist at Bose, you will deliver AI and machine learning solutions for demand forecasting and supply chain models. Engage with stakeholders to translate business problems into data science solutions, collaborate with various teams, and mentor others while deploying predictive and prescriptive models.

As a Data Engineer at Aristotle, you will be responsible for developing data load processes, designing and implementing solutions using .NET/SSIS/SQL Server technologies, building web-based reporting systems, collaborating on data transformation rules, and optimizing ETL processes. You will work on enhancing system performance, creating documentation, and following industry-standard practices.