Top Data & Analytics Jobs

The Data Architect at StraighterLine is responsible for developing and maintaining a long-term data strategy to drive business growth, designing data lake/warehouse solutions, integrating systems into a cohesive data architecture, and implementing data governance initiatives. Collaboration with various stakeholders and support for advanced analytics and machine learning initiatives are also key responsibilities.

Skilled Data Scientist with 3+ years of experience in data analysis, data mining, and machine learning. Proficient in Python, R, and SQL. Strong knowledge of data modeling, design patterns, and building scalable solutions. Familiarity with Tableau, Hadoop, and cloud providers like AWS, GCP, and Azure. Advanced degree in Computer Science or Engineering preferred.

Develop predictive models and machine learning algorithms for financial processes, enhance customer experiences, and mitigate credit and fraud risks. Collaborate with cross-functional teams to design and implement analytical solutions. Stay updated on data science and fintech trends to improve analytical capabilities.

The Senior Data Integration Engineer will develop data models and processing pipelines for large data sets, utilizing SQL and RESTful APIs. Responsibilities include designing and maintaining ETL processes, integrating data from various sources, and ensuring data quality and integrity.

Seeking a skilled Salesforce Business Analyst with consulting background to work closely with clients, translate business needs into Salesforce solutions, and guide best practices implementation. Must have 3+ years of experience and relevant certifications, strong client-facing and technical skills, and proficiency in Salesforce configuration and project management. Experience with agile methodologies and excellent communication skills are required. Knowledge of data management, migration strategies, and integration is a plus.

IHI Terrasun is seeking a Senior Data Scientist to collaborate with product design and engineering, research statistical models, implement analytics for insights, and automate data collection. The role requires technical writing, data visualization, problem-solving, and expertise in machine learning and AI.

As the Lead Data Scientist, you will establish a data science practice, collaborate with various teams to optimize systems, leverage data for strategic decisions, and utilize advanced analytics techniques to derive insights that drive business outcomes.