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Top Remote Senior Data Analyst Jobs
The Senior Data Quality Analyst will drive data quality activities, mentor junior analysts, manage data issues, and develop data quality standards. The role involves collaboration with multiple teams to improve master data and ensure compliance with data privacy regulations while overseeing automation and workflow integration.
As a Senior Financial Data Analyst, you will develop end-to-end reporting solutions, conduct data-driven investigations, and maintain metrics to track company performance. You'll collaborate with cross-functional teams to enhance data consumption, optimize reporting, and support the AI-based products. This role requires ownership of features from inception to execution while addressing data challenges in healthcare.
The Senior Product Analyst will develop and implement data enrichment features to enhance software products, working with billions of records to ensure data accuracy and relevancy. They will translate user feedback into functional specifications, set acceptance criteria for quality assurance, and guide rigorous data models to exceed customer expectations and drive insights.
The Senior Workforce Effectiveness Data Analyst fosters a data-driven culture in Healthfirst Operations, identifying technology and analytics opportunities to enhance departmental efficiency. Key responsibilities include leveraging analytics tools, developing ETL processes, constructing predictive models, communicating insights, and collaborating with IT and other departments to drive strategic decisions and improvements.
The Senior Business Intelligence Analyst will build data models, create dashboards using data visualization tools, and collaborate with cross-functional teams to design data solutions for financial reporting and operational needs. Responsibilities include maintaining data pipelines, optimizing data quality, and promoting self-service data culture within the organization.
As a Senior HRIS and Data Reporting Analyst at Wpromote, you'll analyze data and transform it into actionable insights to support people-related decision-making. Responsibilities include managing HRIS accuracy, reporting and delivering insights to aid strategic initiatives while enjoying a remote-first work culture.
As a Senior Product Data Analyst, you will collaborate with the Analytics, Engineering, and Product teams to analyze user behavior and product usage. Your responsibilities include measuring key metrics, building data dashboards using Looker, and providing actionable insights to inform product improvements, thereby directly influencing the product roadmap and user experience.
The Data Analyst Specialist at Sagent is responsible for developing data analysis, database design, policy development, and collaborating with vendors. The role requires strong expertise in data management, recovery plans, and database policies, intending to drive company success through critical project contributions.
As a Senior GTM Data Analyst, you will provide data-driven insights to shape Go-to-Market strategy across Sales, Marketing, and Customer Success. You'll identify improvement opportunities, oversee analytical model development, and collaborate with marketing teams.
The Data Analyst manages and analyzes data to ensure its accuracy and usability, creating reports and visuals to identify trends that support business objectives. This role collaborates with teams to optimize data processes and uphold compliance with data governance standards.
As a Data Analyst in Integrations at dv01, you will engage with structured finance, analyzing large datasets and working with engineering teams to develop solutions. You'll communicate with financial clients and enhance your skills in data analysis beyond Excel. This role will deepen your understanding of financial markets and analytical tools.
This role involves analyzing financial data to support strategic decision-making. Responsibilities include data collection and interpretation, creating metrics and visualizations, collaborating with cross-functional teams, and ensuring data accuracy. The analyst will drive data-driven insights to influence business outcomes.
As a Data Analyst at Fetch, you will create analytical solutions to help teams utilize data effectively. Responsibilities include translating business questions into SQL, presenting insights using Tableau and Excel, collaborating with business users and engineers, conducting data exploration, documenting code, and communicating technical issues clearly.
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As a Staff Analyst in Advanced Analytics at Airbnb, you will use data insights and advanced analytics techniques to define and evaluate key metrics, drive data-driven decision-making, and collaborate across functions. Your role involves working with large data sets, applying quantitative analysis, developing forecasting models, and presenting insights to leadership.
The Data Analyst at PingWind will oversee and build machine learning models, develop interactive dashboards, conduct in-depth data analysis, and communicate insights. They will collaborate with data scientists and stakeholders to ensure effective data management and integration into the MEDCHART system.
The Global Data Analyst supports Purchase To Pay business processes within SAP by implementing master data governance strategies, conducting data quality assessments, and ensuring compliance with governance policies. They also lead projects in collaboration with IT and other stakeholders, providing user education and supporting data management efforts.
Responsible for the analytic data needs of the business unit, handling complex data projects. Provide advanced analytical support across multiple areas, ensuring data quality, developing reports, assisting management in decision-making, and mentoring other analysts.
The Data Analyst will manage program data collection, ensuring quality assurance, and conduct statistical analyses. Responsibilities include creating reports for stakeholders, enhancing data processes, and supporting the Director of Operations with insights related to KPIs. The role requires attention to detail and effective communication to present findings clearly.
The Data Analyst at Shift5 will conduct full lifecycle data analysis, identify trends and anomalies in large datasets, create reports and dashboards, and collaborate with various teams to derive insights that drive business decisions. They will also work with operational data for predictive analysis and metrics creation.
The Commercial Data Analyst will analyze campaign performance metrics, provide actionable insights to support client teams, manage target list development, and ensure data quality for effective decision-making. This role combines analytical skills with business acumen to drive data-informed strategies across commercial operations.
The Data Analyst III will provide advanced analytical support for various business operations, handle complex data projects, and lead other Data Analysts. Responsibilities include data extraction, modeling, compliance audits, report generation, and mentoring team members.
As a Senior Product Data Analyst, you will support the Product organization by curating data, uncovering insights, and creating dashboards. You will own the Product Analytics data catalogue, improve data quality, align the team around key metrics, manage experiments, and analyze product experience changes for better outcomes.
As a Data Analyst B2B, you will collaborate with B2B stakeholders to drive operational performance through data analysis, develop KPIs, and generate insights via visually appealing deliverables. Additionally, you will support process improvements and automate reporting activities.
As a Senior Associate in Analytics at Merkle, you will transform raw data into insights, ensure data quality, develop data management tools, and create visual presentations. You will collaborate with a team to execute analytical processes and support marketing analytics using various data sources and tools.
The Data Scientist I role involves developing and monitoring quantitative models, analyzing large datasets using various analytical techniques, and collaborating with technology teams to implement models. Responsibilities include data management, model performance assessment, and advising management on trends and risks.
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