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Top Data Analyst Jobs in Vancouver
As a Co-op Operations Data Analyst at Samsara, you will design data collection systems, work on data analysis with cross-functional teams, and create visualizations using tools such as Tableau and DataBricks. Your role includes conducting detailed budgeting and generating insights to assist with strategic initiatives in a remote setting.
The Senior Data Analyst will enhance the Developers and App Marketplace Analytics team by overseeing dashboards, ensuring data quality, and enabling data-informed decision-making. Responsibilities include developing databases, writing SQL queries, uncovering insights on developer experiences, assessing the impact of product features, and collaborating with various teams to evaluate marketing efforts.
As a Data Analyst at McAfee, you'll analyze large data sets to uncover insights, support data-driven decisions, and drive marketing strategies. You'll collaborate with various teams, leverage advanced statistical techniques, and develop strategies to optimize performance while ensuring data quality across multiple sources.
As a Senior Data Analyst at Dandy, you will drive revenue analytics, improve customer retention, and increase lifetime value. Responsibilities include developing insights for the revenue team, defining KPIs, facilitating decision-making through data tools, conducting A/B experiments, and mentoring other analysts.
As a Data & Reporting Analyst, you will develop data insights and reporting solutions for an electric utility client, utilizing Excel and Power BI. You will analyze complex data sets, create dashboards, and collaborate with stakeholders to drive data-informed decisions. Additionally, you will train junior consultants and manage small projects.
The Data Analyst III will analyze structured and unstructured datasets for insights, create advanced visualizations and reports, perform Exploratory Data Analysis, manage large data sets, and troubleshoot data issues. The role involves working independently and requires strong SQL and Excel skills, along with attention to detail.
The Global Data Analyst will lead data integration across various global business systems, ensuring data quality and timely resolution of data issues. Key responsibilities include analyzing integration output, troubleshooting processing issues, translating user requirements into technical queries, and collaborating on software initiatives while maintaining accurate data documentation.
As a Data Analyst at Mismo, you will be responsible for managing and analyzing master data sets, developing reports and dashboards, ensuring data integrity, and supporting data warehouse initiatives. Your expertise will help maintain clean and accurate data, while collaborating with data and development teams on various data-related tasks.
The Staff Data Analyst - Marketing will manage complex marketing data and perform advanced analytical tasks to optimize marketing strategies. Key responsibilities include analyzing campaign performance, customer behavior, and marketing ROI while collaborating with cross-functional teams to provide actionable insights. The role includes mentoring junior analysts and utilizing advanced statistical methods for data-informed decision-making.
The Sales Data Analyst will collect, analyze, and interpret sales data to identify trends, engage with stakeholders, and present actionable insights. This role involves ensuring data accuracy, collaborating with cross-functional teams, and creating data visualizations to support decision-making.
The Staff Data Analyst - Product will provide advanced analytical support to optimize product development and improve user experiences. Responsibilities include leading product analytics initiatives, conducting performance and KPI analysis, collaborating on impact analysis, conducting A/B testing, customer segmentation, forecasting trends, and mentoring other data analysts.
The Senior Market Data Analyst investigates strategies to optimize business operations by defining requirements based on data analysis. They collaborate with stakeholders, develop project documentation, perform functional analysis, and troubleshoot systems to ensure technology delivers expected business outcomes. The role entails using tools to analyze data and validate business requirements while providing specialized consulting and support across projects.
The Senior Data Analyst collaborates with multiple teams to analyze data, develop dashboards, and derive business insights using big data technology. Responsibilities include performance analysis of mobile applications and cloud services, as well as generating reports and insights through statistical analysis and machine learning techniques.
As a Data Analyst at Edge & Node, you'll translate business requests into actionable insights, manage data transformations, build dashboards, and collaborate with cross-functional teams to improve analytics workflows and deliver accurate data.
As a Principal Data Analyst, you'll lead data-driven initiatives, mentor junior analysts, and design sophisticated analytical solutions using large datasets. Your role will involve collaborating across teams to derive insights, support product decisions, and enhance user experience through data storytelling. You'll utilize tools like SQL, Python, and visualization software to communicate findings effectively.
As a Data Analyst on the Product Analytics team at Epic Games, you will focus on data collection, visualization, and analysis to support decisions regarding cosmetics and monetization strategies in Fortnite. You'll collaborate with teams to identify opportunities, deliver insights via dashboards, and improve data accuracy through monitoring.
As a Data Analyst at Stripe, you will leverage data to support business decisions, extract insights from large datasets, build metrics and dashboards, and deliver actionable business recommendations. Collaboration with cross-functional teams and managing multiple projects with attention to detail are key responsibilities.
As a Senior Data Analyst, you'll lead project delivery by analyzing large datasets to drive business insights and recommendations. You'll collaborate with product stakeholders, develop methodologies for business needs, ensure data governance, and leverage various data analysis tools.
The Senior Data Analyst will perform complex data analysis, develop statistical models, identify business opportunities through product experiments, ensure data quality, and communicate insights effectively. They will manage data-related projects and collaborate with product or growth teams to improve user onboarding and retention.
The Data Quality Analyst will support the Global Data Quality strategy by collaborating with various teams to define data quality rules, manage data cleansing projects, and document data quality standards, ensuring high-quality master data for the Digital Core platform.
The Data Scientist/Analyst will collaborate with the Business Analyst team to gather data requirements, perform data analysis, and utilize advanced analysis techniques and machine learning models to support decision-making. Responsibilities include data cleansing, modeling, implementation, and maintaining a data catalog.
The Senior Data Analyst at Wave will advance the maturity of Data Analytics by collaborating with stakeholders, developing solutions for decision-making, enhancing reporting tools, ensuring data integrity, and applying advanced analytics. The role requires expertise in SQL, data visualization, and effectively communicating insights to drive business strategies.
The Senior Data Analyst will partner with Client Success, Marketing, and Sales teams to enhance revenue operations by building data infrastructure, creating data-driven strategies, and developing models for reporting and analysis. The role includes mentoring others, ensuring data integrity, and communicating insights effectively using Business Intelligence tools.
The role involves leading the Data & Analytics for the Lead to Cash process in a major SAP S/4HANA transformation at Mars Pet Nutrition. Responsibilities include data collection, cleaning, analysis, visualization, and modeling to support digital transformation and decision-making.
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