Top Data Analyst Jobs
The Senior Data Analyst prepares reports and analyses for the Sales Department, evaluates transactional data, analyzes trends, and creates forecasts. They collaborate across departments to identify opportunities, conduct complex analyses, and develop actionable recommendations. The role involves extensive use of Microsoft Excel and PowerPoint for data organization and communication.
The Senior Data Analyst will drive data-informed decision-making across the Developers and App Marketplace Analytics team. Responsibilities include designing databases, building dashboards, writing complex SQL queries for data analysis, setting data quality management practices, and collaborating with various teams on project assessments and insights.
The Senior Data Analyst will support partnerships in the Life Sciences industry by identifying patient cohorts, generate analytics, maintain technical processes, mentor team members, and integrate new data sources. This role emphasizes data manipulation, client interaction, and turning raw data into actionable insights for healthcare innovation.
The Senior Data Analyst will be instrumental in enhancing customer satisfaction and retention by analyzing complex data sets, developing dashboards in Tableau, and utilizing tools like Zendesk and Gainsight to track customer interactions and churn. The role involves mentoring junior analysts and presenting insights to senior management.
The Senior Data Analyst will support the Customer Product Analytics team by analyzing product performance through deep insight analysis, A/B testing, and innovative measurement methods. The role involves crafting data into narratives to inform stakeholders and assist in strategic decision-making within realtor.com.
The Senior Data Analyst prepares sales data reports, conducts complex analyses, and collaborates with various departments to identify opportunities and risks. They develop forecasts, performance models, and communicate insights effectively to leadership using presentations and reports.
The Senior Data Analyst prepares analyses and reports for the Sales Department at Cox Communications, synthesizes data from multiple sources, evaluates trends, and translates complex data into actionable recommendations. Responsibilities include conducting research, collaborating across departments, developing models, ensuring data integrity, and communicating results effectively.
The Senior Data Analyst is responsible for preparing and analyzing transactional data to identify opportunities and risks, developing actionable recommendations, and communicating findings to the sales department and stakeholders. The role requires collaborating with various departments, conducting complex analyses, and utilizing Excel and PowerPoint for data representation and reporting.
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The Senior Data Analyst conducts research and performs transaction analyses to support sales and related stakeholders. Responsibilities include synthesizing data from various sources, analyzing trends, developing forecasts, and providing actionable recommendations. The role also involves creating financial and performance models, ensuring data integrity, and communicating analytical results effectively to internal clients.
As a Senior Data Analyst, you will prepare and analyze data for the Sales Department to identify trends, risks, and opportunities. Your role involves conducting complex analyses, developing financial models, and presenting actionable insights to leadership using Excel and PowerPoint. You'll collaborate across departments and guide junior analysts in ensuring data quality and integrity.
The Senior Data Analyst prepares sales-related transactional analyses and reports, evaluates data to identify opportunities, and forecasts trends. They collaborate with various departments to produce analyses and utilize tools like Microsoft Excel and PowerPoint to communicate results effectively.
As the Senior Data Analyst for the Customer Experience Platform, you will collaborate with product, engineering, and operational teams to analyze customer behavior, develop data models, and build dashboards. You will utilize SQL to create datasets for reporting needs and proactively identify analytics opportunities to support product development and enhancements.
The Senior Data Analyst will drive the data strategy and develop actionable insights and advanced BI solutions. Key responsibilities include collaborating with product teams, leading BI project development, conducting statistical analysis, and presenting findings to stakeholders to enhance decision-making and platform performance.
The Senior Data Analyst will focus on revenue analytics to support customer retention and growth. Responsibilities include deriving insights, defining KPIs, facilitating quick decision-making through data analysis, executing A/B experiments, and mentoring junior analysts.
AdAction is seeking a Senior Data Analyst to contribute to the modernization efforts of data processes, collaborate with cross-functional teams, enhance data analytics capabilities, and provide strategic data-driven insights. This role requires proficiency in Python, DBT, Airflow, Tableau, Looker, QuickSight, AWS, Redshift, Snowflake, and Postgres.
AdAction is seeking a Senior Data Analyst to contribute to modernizing data processes, automate BI processes, enhance data analytics capabilities, and provide actionable insights for informed decision-making. This is a contract-to-hire position with potential for full-time employment based on performance.
The Senior Data Analyst will work with the finance team to develop and improve reporting infrastructure, ensure accurate company metrics, collaborate with analytics teams, and create data visualizations for business insights.
The Senior Data Analyst will leverage data to drive strategic decision-making and contribute to organizational success. Responsibilities include collaborating with various teams, performing data analysis, developing dashboards and visualizations, monitoring product performance, and promoting a data-informed culture within the company.
The Senior Data Analyst at Vouch focuses on building data structures, tools, and models to improve business operations and insurance design. Responsibilities include collaborating with cross-functional teams to identify and standardize data metrics, developing dashboards, performing analyses, and leading data projects.
As a Principal Data Analyst, you will evaluate TV data, develop measurement models and systems, and apply statistical modeling to enhance campaign performance using TV viewership data. You will partner with various teams to deliver analytics and improve measurement solutions on Nexxen's data platforms.
The Associate Data Analyst role involves managing reporting updates, developing Tableau dashboards and Excel reports, and collaborating across departments to provide insights and improve business processes. The analyst will also automate reporting processes and document technical details, ensuring data quality and availability.
Join Artefact as a Data Analyst Consultant to transform data into business impact for clients like Samsung and L'Oreal. Conduct projects, extract insights, develop technical approaches, create data visualization dashboards, and collaborate with various teams. Ideal candidates are forward-thinkers with 2-5 years of experience in data-driven environments and proficiency in tools like Tableau and Python.
The Entry Level Data Analyst role involves analyzing data, creating visualizations, and deriving insights to support decision-making. Key responsibilities include cleaning and manipulating large datasets, utilizing statistical analysis tools and programming languages, and presenting findings to non-technical audiences.
The Entry Level Data Analyst role involves analyzing large datasets to derive actionable insights using statistical methods and various data analysis tools. The analyst will need to manage multiple tasks, demonstrate strong problem-solving abilities, and effectively communicate findings to non-technical stakeholders.
This entry-level position involves analyzing large datasets to extract actionable insights, requiring proficiency in data analysis tools and programming languages. Responsibilities include statistical analysis, data manipulation, and presenting findings to non-technical stakeholders.
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