Data Analyst
Analyze product, user, and business data to identify trends and build dashboards that drive actionable insights. Collaborate with product and engineering teams to define metrics, track experiments, and improve data infrastructure.
57 Data Analyst jobs in India available for remote work from home. Apply for positions such as Data Analyst, Data Analyst, Data Analyst and more! Discover the best work-from-home or hybrid, full- and part-time jobs.
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Analyze product, user, and business data to identify trends and build dashboards that drive actionable insights. Collaborate with product and engineering teams to define metrics, track experiments, and improve data infrastructure.
The Data Analyst will explore and profile source data while identifying trends, patterns, and data-quality issues. They are also responsible for supporting KPI definition and developing actionable business insights.
The analyst will evaluate hiring and candidate data to optimize decision-making and system efficiency. They are responsible for building dashboards, tracking funnel metrics, and collaborating with operations and product teams.
The Data Analyst supports client business processes by executing operational models, performing quality checks, and identifying process improvements. They collaborate with senior team members to translate business needs into technical solutions and ensure high-quality deliverables.
The Data Analyst supports client business processes by executing operational models, performing quality checks, and identifying process improvements. They collaborate with senior team members to translate business needs into technical solutions while ensuring high-quality deliverables.
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You will own the end-to-end data quality, including documentation, reporting, and root-cause analysis of prediction issues. You will also build scalable automation workflows using Python and SQL to improve system performance and support cross-functional teams.
The Data Analyst is responsible for extracting, cleaning, and organizing data to build interactive dashboards and reports. They will collaborate with cross-functional teams to translate raw data into actionable business insights.
The Data Analyst will manage and analyze large volumes of daily financial data and design, implement, and continuously improve data quality frameworks. They will also build and maintain dashboards and reports for business insights.
The analyst will manage and reconcile product master data across enterprise systems while leveraging AI tools to improve data quality and governance. They will also define validation rules, perform data profiling, and collaborate with cross-functional teams to resolve complex data issues.
Develop and maintain forecasting models for clinical site payments outside Medidata Payments, connect forecasts across systems, and analyze budgets, enrollment data, and plan-versus-actual results. Prepare client-ready forecasts and closeout reports, communicate forecast variances to project teams, and support audit, reconciliation, and regulatory compliance processes.
The Senior Analyst will build and operationalize a cross-channel brand measurement framework by integrating various digital engagement and marketing signals. They will own measurement workstreams, conduct diagnostic analyses, and translate findings into actionable recommendations for business partners.
The intern will collect, clean, and organize data from multiple sources to support business decisions. They will also collaborate on data projects, create dashboards, and perform data validation tasks.
The Quality Assurance Data Analyst will validate the accuracy and completeness of data imports, updates, and transformations across large-scale datasets. They will collaborate with data engineers and project teams to troubleshoot defects and ensure adherence to data services standards.
The AI Data Analyst will design, build, and maintain data pipelines to support artificial intelligence and machine learning solutions. They will collaborate with IT and Data Science teams to manage datasets, orchestrate data flows, and troubleshoot system anomalies.
The analyst will extract, transform, and load data into hosted platforms while providing technical support to clients via email, phone, and screen-shares. They are also responsible for database creation, managing user permissions, and investigating client inquiries regarding search results and technical issues.
The role involves managing the Microsoft Fabric environment, including data pipelines, lakehouse maintenance, and security. You will also design and optimize data models while developing Power BI dashboards to support business decision-making.
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The Lead Energy Market Analyst oversees the production of energy market fundamental model components and standalone models using PLEXOS and Aurora. They are responsible for leading power market research, maintaining large energy databases, and ensuring the accuracy of model outputs and forecasts.
The role involves supporting the design and implementation of SCM systems while developing data strategies using Snowflake and other digital tools. You will collaborate with stakeholders to evaluate data sources and optimize supply chain processes through KPI improvement activities.
The Senior Analyst will analyze sales, marketing, and customer success data to provide actionable insights and drive GTM strategies. They will also maintain dashboards, define KPIs, and contribute to the development of robust data infrastructure.
The Data Analyst will own analytics and insights across technical and product areas to support the commercialization of autonomous robotics. They will partner with engineering, product, and leadership teams to define metrics, build dashboards, and translate complex business questions into measurable data solutions.
The role involves integrating AI and automation into HSW processes to enhance safety, quality, and operational efficiency. Responsibilities include managing HSW data strategy, designing Power BI dashboards, and identifying technological opportunities to improve safety outcomes.
The intern will focus on data integrations, quality assurance, and identifying anomalies within the transportation visibility platform. They will also support the data team with customer queries, dashboard maintenance, and the automation of data pipelines.
The Lead Analyst manages the Data Desk queue, performs code reviews, and automates recurring data requests. They also provide technical supervision and mentorship to junior analysts to ensure high-quality data outputs.
You will pull, clean, and structure operational data while maintaining dashboards and documentation to ensure reporting continuity. You will also leverage AI tools to automate repetitive tasks and provide diagnostic analysis for leadership.
The analyst will supervise the development and maintenance of global power and natural gas market models using PLEXOS and Aurora tools. They will also lead market research, model benchmarking, and coordinate with a team to deliver high-quality energy datasets.
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You will manage the end-to-end flow of data initiatives, ensuring that every meeting results in documented, actionable data requirements. Your role will involve triaging emails, synthesizing meeting insights, and maintaining accountability for project deadlines.
Develop and maintain compliance dashboards and reporting to monitor key metrics and identify financial crime trends. Support the Financial Intelligence Unit by managing regulatory data requests and providing insights for complex investigations.
Design and develop end-to-end business intelligence solutions and interactive dashboards using Power BI to transform raw data into actionable insights. Lead client discussions to define KPIs and measurement frameworks while mentoring junior BI analysts.
The role involves owning enterprise client onboarding for agentic AI implementations and designing optimized prompts and conversation flows. You will analyze conversation data to drive improvements in AI performance, containment, and resolution quality.
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