Top Remote Data Analyst Jobs
As a Sr. Data Analyst, you will transform complex data into actionable insights to drive strategic decisions. This involves collaborating with stakeholders across the organization, building and maintaining dashboards, ensuring data integrity, and presenting findings effectively to support business growth.
The Data Analyst will be responsible for collecting, cleaning, and analyzing data to provide actionable insights. They will use Excel and other analytical tools to support strategic initiatives and present findings to stakeholders.
The Data Analyst IV will lead complex data projects and provide advanced analytical support for business operations, focusing on claims, provider, member, and clinical data. Responsibilities include data extraction, loading, modeling, quality audits, report generation, and mentoring other analysts, while ensuring compliance with reporting requirements.
The Sales Data Analyst will collect, analyze, and interpret sales and marketing data to provide insights for strategic decision-making, support sales leadership, create dashboards and reports to track KPIs, conduct analyses of customer data, and recommend data-driven solutions for process improvements.
As a Data Analyst at Coinbase, you will improve customer experiences through metrics and analysis, manage an analytic roadmap, identify improvement areas, develop self-service capabilities, and guide code reviews with a focus on statistical rigor.
The Data Analyst will load, analyze, and report datasets extracted from SAP systems, primarily using SQL and Python. Responsibilities include ETL processes, developing SQL scripts, ensuring data quality, and creating custom reports. The analyst will collaborate with teams to drive insights and optimize inventory management.
As a Senior Data Analyst, you will collaborate with product management and engineering leaders to define metrics for product performance. Your role includes developing data dashboards, partnering with data infrastructure teams, and conducting experimental design for performance attribution of product features.
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.
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The Data Analyst will process and analyze large datasets to generate strategic insights for various company teams. They will leverage a modern data stack to identify trends, work with cross-functional teams to define KPIs, create data visualizations, and mentor team members in both technical skills and process improvements.
As a Financial Data Analyst, you will manage the company's revenue metrics, optimize data-driven decision-making, develop data analysis frameworks, and oversee financial dashboards. The role requires strong project management and analytical skills to support finance-related reporting and data hygiene across 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 Principal Data Analyst, you will support key analytics projects across various teams, explore data for insights, create dashboards and visualizations, and partner with leaders to drive performance and strategy using data-driven insights.
The Data Analyst will leverage Power BI and data analysis skills to provide actionable insights for HR and business decisions. Responsibilities include conducting ad-hoc analyses, generating predictive insights, developing reports and dashboards, and collaborating with various teams to enhance decision-making based on employee data and trends.
The Data Analyst will transform complex data sets into valuable insights, supporting product development through analysis and reporting. Responsibilities include data exploration, analytics reporting using tools like SQL and Power BI, collaboration with product teams, and continuous learning of industry trends to drive business decisions and product improvements.
The Data Analyst in Treasury will work with finance operations, validate loan originations, manage secondary market transactions, build automation tasks, and perform data analysis to influence business decisions and drive strategy. This role requires strong business acumen and technical skills to enhance the company's financial operations.
The Data Analyst will collect, clean, and organize data, perform detailed analysis using Excel, and present insights to stakeholders. Responsibilities include conducting ad-hoc analyses and supporting strategic initiatives with actionable insights derived from data.
The SAP/Navy ERP Data Analyst will support the Navy's initiatives by managing data migration processes, conducting data health assessments, and leading teams in quality assurance and training strategies. This role requires close collaboration with clients and oversight of IT development phases, ensuring data integrity and compliance during migration.
The Data Analyst role focuses on performing in-depth analyses to optimize the marketing funnel, designing core metrics, managing dashboards, and working with cross-functional teams. Responsibilities include data visualization, statistical modeling, and contributing to a data-driven culture at The League.
The Energy Commissions Data Analyst will manage commission payments via the CRAFT platform, ensuring accuracy and timeliness. Responsibilities include processing large datasets, researching payment issues, maintaining records, contributing to system improvements, and handling inquiries from stakeholders and customers.
The Data Analyst will analyze data and generate insights to support business decisions. Responsibilities include conducting full lifecycle analysis, developing reporting capabilities, and maintaining databases. The analyst will interpret data trends, implement data collection strategies, and provide ongoing reports.
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.
The Data Analyst will focus on forecasting, reporting, and dashboard creation to support CareRev's growth organization. Responsibilities include translating business needs into insights, building leadership dashboards, conducting ad hoc analyses, synthesizing complex datasets, and managing sales forecasting in collaboration with finance.
The Data Analyst II will lead data integration, develop analytical models, build dashboards, and perform analyses to support workforce data trends and resource allocation for decision-making. Responsibilities include using mathematical and statistical methods to analyze data, ensure alignment with standards, and provide insights for recruitment and retention initiatives.
The Data Analyst I will integrate and analyze data across platforms to inform recruitment strategies, develop analytical models for enhanced data accessibility, create staffing models for resource allocation, and build dashboards for reporting critical activities. Responsibilities also include performing studies and assessments using various quantitative and qualitative analytical techniques.
The Data Analyst will complete data analytics and science projects for clients, manage project delivery from start to finish, and provide training and development in analytics skills. Key responsibilities include ad-hoc analysis, deep data investigation, data visualization, data integration, and ETL development.
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