Top Remote Data & Analytics Jobs in Boston, MA
Deal Desk Analyst at Skillsoft responsible for pricing requests, collaboration with finance and sales, managing deal structures, and working on special projects. Requires 3+ years of experience and proficiency in Salesforce, Excel, and Power Point.
The Lead Quality Analyst oversees the QA Analyst group and release management of mobile products, ensuring software contains no errors and adheres to QA procedures. Responsibilities include test design, execution, maintenance, and closure, facilitating builds, validating test plans, and improving software quality through KPIs and optimizations.
As a Decision Scientist at Cash App, you will apply data-driven techniques to identify new opportunities, participate in project definition, and impact business strategy outcomes. You will be responsible for implementing, documenting, and monitoring customer-facing decisions and risk controls. This role involves working closely with ML teams to inform model performance evaluations and creating offline ML models for decision making purposes.
Partner with cross-functional stakeholders to drive data-informed product and marketing decisions, develop a strong understanding of cash flow products, build visualizations to monitor product performance, and communicate analysis and decisions to high-level partners and executives.
Seeking an experienced Governance, Risk, and Compliance (GRC) System Administrator to manage GRC systems, ensure compliance, risk, and governance processes are effectively managed and reported. Responsible for administering GRC tool, managing user access, providing training and support, developing reports, staying updated with GRC technologies, and assisting in project management and customization of GRC configurations.
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The Senior Data Analyst at Square Banking will partner with cross-functional teams to drive data-informed decisions, develop a deep understanding of cash flow products, build visualizations, and communicate insights to high-level partners.
Design and develop data models in Snowflake with DBT for internal business partners. Write advanced SQL queries for ELT/data warehousing/Business Intelligence. Collaborate with team members and promote business data models for Self Service Reporting. Utilize tools like Fivetran, GitHub, Power BI, SQL, and Python for ETL and data modeling.
Collaborate on product and business problems, apply quantitative analysis, develop strategies, shape product development, and communicate insights using data.
The Production Support Analyst (PSA) at Endpoint is the primary contact for end users of endpoint IRT systems, providing technical and non-technical support, troubleshooting, and documentation. The role requires strong communication skills, attention to detail, and the ability to collaborate with internal and external teams.
The Chief Scientist/Technical Fellow at STR will lead the development of sensing and counter-sensing programs, provide technical oversight, and engage with Defense and Intelligence Communities. Responsibilities include technical marketing, proposal development, team leadership, and customer engagement. The ideal candidate should have extensive experience in sensor technology and a proven track record in delivering solutions to the Department of Defense and Intelligence Communities.
Seeking a Senior Manager of Data Science to develop a world-class team, build stakeholder relationships, and drive growth using data insights. Responsibilities include tying data science projects to business problems, breaking down projects into milestones, being resilient, and fostering a growth-oriented team environment. Must have 3+ years managing a data team, results-driven track record, adaptability, technical proficiency in Python and SQL, understanding of analytical methodologies and statistics, and passion for NLP.
Design, build, and maintain research data platforms and pipelines for analytics and data science. Collaborate with data scientists to acquire and aggregate data at scale. Develop tools to monitor platform health and performance. Foster environment for data scientists to facilitate learning. Perform data analyses and exploration as needed.
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