Top Data Analyst Jobs

The Genetic Data Analyst will conduct data analysis related to prenatal genetics and hereditary cancer risk assessments. Responsibilities include adhering to laboratory policies, participating in quality assurance, troubleshooting data issues, and engaging in department projects. The role requires hybrid work, including compliance with regulatory requirements and ongoing training in a laboratory setting.

The Financial Data Analyst will manage budgeting, forecasting, and financial reporting, support strategic planning, analyze financial KPIs, and drive process improvements while collaborating with leaders across Finix.

The Data Analyst will collaborate with various business functions to address key questions, analyze data, provide actionable insights, and enhance the company's KPI dashboard. Responsibilities include cross-functional collaboration, data management, and supporting analytics initiatives.

The Sales Data Analyst provides data-driven insights to enhance sales strategies and optimize performance at Intermex. Responsibilities include analyzing sales data for trends, collaborating with sales leadership, creating dashboards, and supporting ad hoc data requests to improve sales operations.

The Technical Writer/Data Analyst is responsible for developing clear documentation, analyzing large data sets, and creating visual representations of data. This role involves collaborating with various teams to support analytics requirements and ensuring data accuracy while creating engaging content that simplifies complex information.

As a Data Analyst at Tax.com, you will transform data into actionable insights to support the GTM team. Responsibilities include designing dashboards, maintaining reports, ensuring data integrity, collaborating with departments, and staying updated on industry trends. The ideal candidate should have strong analytical and problem-solving skills. Key duties involve data acquisition, extraction, forecasting, and data reconciliation using Power BI and other tools. A Bachelor’s degree in IT or Computer Science is preferred with experience in operational reporting.

As a Data Analyst at OptiFreight Logistics, you will analyze data to uncover insights, develop analytical tools, and drive decision-making within the logistics sector. Your responsibilities will also include collaborating with various teams to enhance client experiences through informed strategies and creative problem-solving.

The Data Analyst will support Universal Music Group Nashville by conducting research and analyzing data on song performance and artist identification. The role involves developing statistical models, constructing key data sets, and collaborating with various teams to enhance the understanding of new music metrics.

The Lead Data Analyst and Portfolio Manager will bridge IT and business teams, manage stakeholder relationships, handle requests through a centralized demand management process, prioritize project work, and oversee the delivery of Data, AI, and BI products. This role requires leadership of a team emphasizing technology adoption and process optimization.

The Lead Data Analyst and Portfolio Manager will manage a dual role of analyzing data and overseeing a portfolio of financial products. Responsibilities include stakeholder management, centralized demand management, prioritization of requests, and agile work management, while leading a team of analysts and scrum masters to optimize technology adoption and process improvements.

This role involves leading a team as a Lead Data Analyst and Portfolio Manager tasked with managing projects associated with Data, AI, and Business Intelligence services. Responsibilities include stakeholder management, centralized demand management, prioritizing requests, and overseeing agile work management to align business needs with data solutions.

As a Data Analyst II on the Growth team at Redfin, you will analyze web analytics data to support user and customer growth strategies. Your role involves A/B testing, collaborating with product and engineering to develop metrics, and creating robust analytical reports. You'll synthesize insights from diverse data sources to inform product decisions.

The Staff Data Analyst role involves working with engineering teams to enhance the Aurora Driver by designing metrics, creating dashboards, and supporting data-driven decision-making processes. The role requires collaboration with Data Scientists and Engineers to adopt best practices in data analytics and ensure effective project outcomes using large datasets from multiple modalities.

As a Staff Data Analyst at Aurora, you will work with engineering teams to enhance the development of the Aurora Driver by automating, monitoring, and analyzing processes. Your role includes designing metrics and dashboards, collaborating on data analytics projects, and providing data-driven insights to support decision-making.

The Enterprise Data Analyst Senior specializes in handling large data sets to drive business strategies. Responsibilities include data source identification, data wrangling using SQL and Python, root-cause analysis, mentoring junior analysts, and ensuring adherence to risk and regulatory standards. This role is key in converting business needs into technical guidelines and supports the overall success of business operations through strategic data analysis.

The Data Analyst will support data architecture management, report creation and data integrity. Key responsibilities include data analysis, applying statistical techniques, developing dashboards, and collaborating with stakeholders to understand business requirements. The role requires strong analytical skills and the ability to communicate findings effectively.

As a Loyalty Marketing Data Analyst at SageSure, you will be responsible for monitoring and optimizing loyalty programs for producers. Your role involves data collection, analysis, visualization, reporting, statistical analysis, predictive modeling, and supporting loyalty initiatives. You will work closely with the loyalty marketing team to ensure data-driven strategies and continuous improvement in loyalty programs.