Top Data Analyst Jobs
As a Senior Market Data Analyst, you will ensure high data quality for specific regions and commodities, continuously improve data processing efficiency, monitor market news for patterns and trends, and respond to ad-hoc client requests while supporting sales and customer success teams.
The Data Analyst will support the Finance department by developing and automating reports, gathering functional requirements, and delivering data-driven insights to enhance business decision-making. Responsibilities include communicating findings, training stakeholders on reporting tools, and setting data management standards while managing multiple projects.
The Data Analyst will lead the management and experimentation processes of key growth levers, develop analytical frameworks, optimize strategies, and collaborate with stakeholders to enhance performance and address data quality issues. This role emphasizes proactive analysis to support Lyft's growth initiatives.
As a Data Analyst in the Growth Strategy & Analytics team at Lyft, you will manage and analyze experiments, develop dashboards to monitor performance, and partner with stakeholders to translate analytical insights into actionable strategies, contributing to sustainable growth through data-driven decision-making.
The Analytics Lead will enhance Rider Engagement processes, collaborate with cross-functional teams, leverage analytics for business strategies, and develop metrics to improve the efficiency of Lyft's marketplace. The role requires strong analytical skills and the ability to recommend actionable plans based on data insights.
As an Analytics Lead at Lyft, you will manage and improve Rider Engagement processes, collaborate with cross-functional teams, leverage analytics to address business problems, and develop strategic frameworks and metrics for the organization.
As a Data Analyst at Lyft, you'll collaborate with various teams to enhance customer support by analyzing data, driving decision-making processes, and presenting insights to senior leadership. You'll design metrics, conduct A/B tests, and develop scalable frameworks to improve the overall customer experience. Strong analytical skills and technical expertise in SQL and Python are essential.
As a Customer Data Analyst, you will maintain a comprehensive view of customer data to support various business departments and strategies. Your responsibilities include managing the customer data lifecycle, executing SQL and R/Python queries for KPI reports, resolving data inconsistencies, and collaborating with IT on new technological integrations.
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The Data Analyst will create templates, automate processes, generate status reports, and configure databases. Responsibilities include data modeling, conducting analyses, creating visualizations, and collaborating with stakeholders to provide insights based on financial and operational data.
The Senior Web Data Analyst will lead customer analytics strategy, ensuring accurate data collection and reporting, and leveraging insights for decision-making. Responsibilities include collaborating with stakeholders, managing site tagging, delivering actionable reports, and guiding A/B testing strategies, while educating teams on analytics best practices.
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.
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.
As an Entry Level Data Analyst, you will analyze large datasets to provide actionable insights and support decision-making. You will utilize various data analysis and visualization tools, communicate findings effectively, and manage multiple projects. This role emphasizes problem-solving, statistical analysis, and the ability to convey complex data in an understandable format for diverse audiences.
The Entry Level Data Analyst will analyze large datasets, perform statistical analysis, and derive actionable insights using various data analysis tools and software. The role involves programming in languages like Python and R, utilizing tools for data visualization, and presenting findings to non-technical audiences.
The Entry Level Data Analyst role involves data analysis using tools and programming languages like Python and SQL. Responsibilities include cleaning and manipulating large datasets, conducting statistical analysis, and presenting insights to non-technical audiences.
As an Entry Level Data Analyst, your main responsibilities will include cleaning, manipulating, and analyzing large datasets to produce actionable insights, using statistical analysis and various data analysis tools. You will also utilize data visualization software to present data clearly to non-technical audiences and manage multiple tasks effectively.
Provide analytical support for daily operations by gathering and analyzing data, translating results for various team members, building data models, and advising on improving operational statistics. Conduct complex data analysis and research to monitor program performance and suggest efficiency improvements.
The Senior GTM Data Analyst will provide data-driven insights to shape go-to-market strategies across Sales and Marketing. Responsibilities include overseeing analytical models and reporting tools, leading quarterly planning, collaborating cross-functionally, driving business change, and synthesizing market intelligence to inform planning and innovation.
We are seeking a Data Analyst with experience in data analysis and AB testing. The position is hybrid, requiring two days on-site work in Redmond and three days remote. The role is long-term.
The Mid-Level Data Analyst at Haramain Systems Inc. will analyze complex data sets to identify trends and patterns. Responsibilities include collecting and interpreting data, providing reports, and defining new data collection processes. The role involves collaboration with business teams to determine needs and developing data analytics strategies.
The Mid-Level Data Analyst will analyze complex data sets to identify trends, establish business needs, and provide ongoing reports. Responsibilities include collecting and interpreting data, defining data processes, and optimizing data collection systems to improve statistical efficiency and quality.
As a Data Analyst at NexHealth, you will build and support the Business Intelligence platform by developing dashboards, defining metrics, and providing strategic insights. You will collaborate with various business units to analyze performance metrics and address key business challenges using data, including predictive analytics.
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