Top Data Analyst Jobs
The Senior PX Data Analyst will lead complex people analytics research projects, conduct statistical analysis to identify trends, design and analyze employee surveys, and create presentations for executives. This role requires advanced proficiency in SQL and a strong background in statistical analysis using Python or R, while also providing guidance on best practices in people analytics.
The Senior Business Intelligence & Data Analyst will analyze complex datasets to provide actionable insights for business stakeholders. Responsibilities include developing interactive dashboards using BI tools like Tableau, creating comprehensive reports for management, and collaborating with business units to ensure data requirements are met. The role also involves establishing data quality standards and supporting data-driven decision-making processes.
As a Principal Data Analyst, you'll transform large datasets into insights, architect analytical solutions, mentor analysts, and collaborate with product managers and engineers to derive actionable insights. You'll also conduct complex data analyses and use visualization tools to communicate insights effectively.
The Senior Data Analyst will lead data-centric projects, analyze complex datasets to uncover business insights, and communicate findings effectively to stakeholders. This role requires collaboration with product managers and engineers to ensure proper data management and governance, and to develop strategies for leveraging data to enhance business outcomes.
As a Carbon Data Analyst, you will implement carbon measurement for clients, collaborating with Customer Success Managers, transforming unstructured data sets into structured data for carbon footprint calculations, and providing user experience feedback to the product development team.
In this role, a Staff Data Analyst will work with engineering teams to enhance the Aurora Driver through data analytics, developing metrics and dashboards, mentoring in the data space, and collaborating on various Data Science projects to improve performance across subsystems.
The Data Analyst will lead projects, manage documentation, and work collaboratively with teams. Responsibilities include data entry and management, tool and process development, metrics monitoring, and delivering presentations. This role requires independent execution of large projects and engaging with partners to drive knowledge into action.
The Data Analyst I will engage in data collection, maintenance, and analysis to support management decisions. Responsibilities include analyzing data for reporting needs, providing trends and recommendations, and assisting in departmental processes under direct supervision.
Featured Jobs
The Senior Epic Data Analyst will serve as the in-house expert on Epic Cogito solutions, focusing on data extraction and analytics. Responsibilities include developing dashboards, improving BI systems, and working with various teams to optimize data for decision-making.
As a Data Analyst at LTK, you will analyze and gather data from various sources to identify business challenges and opportunities. You'll create dashboards, evaluate business performance, and provide insights to help drive revenue and improve processes across the organization. Collaboration with cross-functional teams is key to develop actionable strategies based on data findings.
The Senior Compliance Data Analyst at Argo Group will develop and automate compliance reporting processes, ensuring data integrity and regulatory compliance. Responsibilities include leading reporting preparation, conducting data analysis, managing data quality, and collaborating with various teams to optimize reporting and provide insights to stakeholders.
The Marketing Data Analyst will support the marketing team by providing data-driven insights on markets, competitors, and campaign effectiveness. Responsibilities include analyzing large datasets, creating visualizations, conducting ROI modeling, and facilitating data requirements for projects, while collaborating closely with stakeholders and senior staff.
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As a Data Analyst at Coinbase, you will enhance operational efficiency by developing metrics and tools, conducting analyses to drive insights, and automating reporting processes while collaborating with multiple teams to support data-driven projects.
As a Data Analyst III at Calendly, you will leverage data visualization and analytics to support cross-functional reporting and ad hoc analyses. Your role includes building dashboards in Tableau and Hex, performing complex analyses using SQL, Python, or R, and defining business metrics in dbt. You will also communicate insights effectively to promote data-driven decision-making across the company.
The Senior Social Data Analyst at Whalar Group will provide analytical support for the Client Services team by synthesizing data from multiple platforms, delivering actionable insights, and visualizing data. This role involves collaboration with various stakeholders to improve reporting outputs and evaluate marketing campaign effectiveness.
The Data Analyst at TuneCore will collect, analyze, and interpret large datasets to identify trends and provide data-driven recommendations. Responsibilities include developing reports, performing data extraction, ensuring data accuracy, and presenting insights. The role involves collaboration with cross-functional teams and supports the Senior Data Analytics Manager with various projects.
The Product Data Analyst drives key product decisions through data and analytics. They collaborate with product teams to conduct critical analyses, identify user behavior patterns, and implement measurement plans for product analytics. They design and maintain reporting systems to support data-driven operations and decisions.
The AI/ML Data Analyst will develop mathematical models and algorithms for the AI/ML initiative, analyze data models, review algorithms for performance, and troubleshoot field issues. They will also serve as a subject matter expert on AI tools and techniques, ensuring all business activities align with company policies.
As a Data Analyst at Coinbase, you will improve customer compliance operations by developing metrics and self-service tools. You'll collaborate with stakeholders, identify improvement opportunities, analyze data resources, and recommend solutions to enhance efficiency and performance.
The ESG Data Analyst/Programmer will develop and streamline data processes, create interactive dashboards, collaborate across teams, maintain data pipelines, and contribute to ESG technology initiatives to support Verdani's sustainability objectives in commercial real estate.
Responsible for providing advanced analytical support for business operations in various areas such as claims, provider data, member data, and clinical data. Extracts, models, and reconciles large amounts of data across multiple platforms. Develops reports, ensures data compliance, and mentors other Data Analysts.
The Revenue Cycle Data Analyst is responsible for creating reports, designing analytical dashboards, analyzing data for metrics, and collaborating with teams for financial reporting. The role requires solid understanding of revenue cycle management processes and entails attending meetings to present findings.
As a Data Analyst at Federato, you will design and maintain dashboards, lead the development of analytics products, collaborate with product teams to integrate analytics into existing workflows, and work with the data science team to monitor ML model performance. Strong dashboard development and statistical analysis skills are essential.
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The Data Analyst will design and implement the company's data pipeline and ETL processes, collaborating with various teams to promote data-driven decision-making. Responsibilities include developing SQL queries for reports, optimizing data flows, and evaluating infrastructure tools for analytics.
The role involves supporting the Navy's transition to the Electronic Procurement System (ePS) by managing data analytics, deployment readiness, training, and reporting. The Analyst must aggregate data from various acquisition systems, develop insightful visualizations, and work collaboratively to enhance decision-making for better ePS implementation.
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