Top Data Analyst Jobs in Hyderabad
As a Principal Data Analyst, you will enhance analytics operations by collaborating with stakeholders, developing AI-driven analytics products, managing complex databases, and creating insightful reports to support decision-making processes.
The Staff Data Analyst at Crunchyroll will drive analytics operations by performing data analysis, visualization, and reporting, while collaborating with stakeholders to enhance decision-making. Responsibilities include leading dashboard design in Tableau, managing SQL-based data queries, and providing actionable insights.
As an Analytics Solutions Associate, you'll collect and manage KYC data, ensuring integrity and compliance. You'll analyze data for patterns, prepare reports and dashboards for stakeholders, and collaborate with compliance and IT teams. Process improvement and continuous learning are also key responsibilities.
The Client Data Analyst within the KYC/AML team will lead efforts to implement KYC standards, manage client documentation, ensure compliance with firm's quality standards, and engage with the Middle office for KYC/AML interactions. This role requires strong analytical and research skills to process and verify confidential client data.
As a Data Analyst in GTM Insights and Operations, you will build reports with SQL, design and deploy Tableau dashboards, conduct ad-hoc data analyses, recommend dataset improvements in Snowflake, and present findings to leadership.
The Reference Data Analyst will manage daily valuation of fixed income instruments, validate bond prices, analyze price movements, liaise with pricing vendors, and prepare daily reports. The role requires excellent understanding of fixed income securities and collaboration with technology teams.
The Senior Data Analyst will conduct in-depth data analysis, collaborate with global partners, develop dashboards using Tableau, and provide actionable data insights to support business objectives. The role demands strong capabilities in SQL, Python, and experience with BI tools, all while ensuring data quality and effective communication throughout analytics operations.
The Junior Data Analyst will work on data reconciliation and generating insights, focusing on understanding how data is utilized by end users. The role supports projects aimed at transforming financial services as part of a global consulting firm.
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The Sr Data Analyst role involves collaborating with HR and Corporate leadership to align strategies in workforce planning and talent management, providing technical support for data reporting tools like Power BI and Tableau, analyzing large datasets to identify trends for business insights, and implementing data-driven solutions to enhance decision-making.
The Data Analyst will support various data-centric activities including data quality, data analytics, and data management. Responsibilities involve maintaining master data, validating data during migrations, implementing data quality checks, and documenting processes. The role requires collaboration with business teams and IT, requiring analytical skills and domain understanding, especially in the pharmaceutical industry.
The Medical Analyst II, Perception Analytics is responsible for managing data operations in the Perception Analytics group, including querying and curating data from insights and social media, applying AI techniques for data categorization, and maintaining reporting tools such as Tableau dashboards and PowerPoint templates. Key tasks include performing data analysis on medical insights and trends and assisting in creating quantitative reports.
The Master Data Analyst at Imerys is responsible for cleaning and enriching global master data, creating and maintaining master data, defining policies for data cleansing, and providing support on data analytics and visualization. Strong English proficiency and 2-4 years of experience in purchasing master data management are required for this role.
The Associate Master Data Analyst is responsible for processing requests to update master data in financial systems, implementing process improvements, creating new data elements, and maintaining documentation. This role also assists in testing system enhancements and performs additional assigned duties.
The HR Data Analyst will analyze and interpret HR-related data to drive strategic decisions regarding headcount, recruitment, and employee engagement. Responsibilities include ensuring data integrity, producing reports on HR metrics, collaborating with HR partners, and identifying process improvement opportunities based on data analysis.
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.
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 Technical Data Analyst will work within the Consumer Marketing organization to analyze complex datasets, drive marketing strategies through data insights, and support experimentation and data visualization efforts. Key responsibilities include developing data-driven recommendations, collaborating with stakeholders, and ensuring data quality while optimizing marketing performance.
The Data Analyst supports the analysis team in deriving insights from data by defining data requirements, collaborating with clients, and implementing analytic models. Responsibilities include data cleaning, enrichment, and visualization to provide actionable insights for strategic decisions and improve performance based on data trends.
As a Data Analyst at DAZN, you will work on building datasets, creating visualizations, and responding to analytics requests. You will collate and analyze data from various sources to provide insights to stakeholders and contribute to making DAZN a data-driven company.
As a Senior Streaming Data Analyst, you will monitor and report on playback KPIs, analyze large datasets for insights on playback quality, and collaborate with software engineers to enhance user experience. You'll maintain dashboards, communicate findings to various stakeholders, and develop automated processes for data extraction and transformation, alongside performing A/B testing on playback optimizations.
The Revenue Analyst at DAZN will manage and analyze data related to commercial advertising performance, covering aspects like impressions, revenue, and audience behavior. Responsibilities include data quality management, report generation, dashboard creation, and insights identification to enhance advertising strategies and revenue opportunities. Collaboration with data and advertising teams is essential to drive data-driven decision making.
The Senior Data Analyst will define data sources for insights, determine data mappings across multiple sources, highlight data inconsistencies, assist with data migration, and manage stakeholder expectations. A strong analytical background and experience in financial services, particularly with data models and risk analysis, is essential.
The Junior Marketing Data Analyst will collaborate with marketing teams to analyze campaign performance, track KPIs, and provide actionable insights. Responsibilities include leveraging data analytics to influence business decisions, effective communication of analysis results, and support for stakeholders.
As a Data Scientist at Roblox, you will analyze large datasets to drive insights for internal operations, supporting major decision-making processes and improving efficiency. You will develop data pipelines, manage analytics tools, and collaborate with teams to identify key metrics. Your role involves transforming data and prototyping cloud-based analytical solutions.
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