Top Data Analyst Jobs
The Senior Data Analyst will work within the Analytics team to analyze seller behaviors, define key metrics, and drive decisions that improve the Supply product's effectiveness. Responsibilities include conducting analyses, performing A/B testing, partnering with engineers, and communicating insights to influence product development.
The Senior Data Analyst will enhance SeatGeek's Fan Experience product by analyzing seller behavior, conducting A/B tests, building data models, and communicating insights that help drive decisions to improve inventory effectiveness and delivery to fans.
The Survey Data Analyst will conduct research on consumer financial behavior, administer surveys and focus groups, compile and analyze data, and report findings. The role involves improving consumer financial education metrics and developing strategies to assist consumers in making better financial decisions.
Assist in the promotion of youth apprenticeship programs through outreach, project management, and data research. Support program management activities and provide technical assistance to educational institutions and employers. Collaborate with local businesses to facilitate and expand apprenticeship opportunities, focusing on high-growth industries. Provide written reports and participate in training and engagement activities.
The Principal Data Analyst will analyze business problems using analytics and big data techniques, identify effective technology-focused solutions, and mentor junior associates. This role involves understanding business context, data source identification, and providing insights while ensuring data quality. The analyst will also engage in exploratory data analysis and create visualizations to effectively communicate insights and drive decision-making in alignment with business objectives.
The Data Analyst will collaborate with internal partners to develop analytic applications and conduct advanced data analyses. Key responsibilities include providing insights on strategic decisions, managing data quality, and delivering presentations that translate complex data into actionable business solutions.
The Data Analyst will work remotely to interpret and develop data project requirements, utilizing tools like Python, Excel, and SQL for data cleansing, analysis, and interpreting complex data issues. The role requires effective communication with both technical and non-technical clients and self-management in a fast-paced environment.
The Lead Data Analyst at CareJourney will manage analytics projects, perform data analysis and visualizations, collaborate cross-functionally, create data mining models, and ensure quality of results while proactively engaging with teams.
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The Lead Data Analyst will create innovative analytics for healthcare organizations, particularly focusing on actuarial studies, cost trends, and risk management. They will lead analytic projects, work cross-functionally, engage with stakeholders, and ensure quality results from the analytics team.
Seeking a seasoned leader in data analytics with a passion for mobile games to work alongside product and marketing teams. Responsibilities include monitoring player behavior, identifying KPIs, translating data into insights, setting up user analytics tools, and recommending product features. Qualifications include 4+ years in analytics or related role, extensive knowledge of data analysis techniques and SQL, experience in mobile app or game environment, and a passion for games.
The Senior Data Analyst will focus on quantifying compliance risks and driving efficiency within the Cash App Compliance Analytics team. Responsibilities include creating data strategies, developing SQL and Python queries, building databases and dashboards, providing insights on compliance topics, and maintaining knowledge of Cash App products and compliance requirements.
The Associate Data Analyst will collaborate with business partners to gather requirements and develop reporting and visualizations using SQL, Excel, and Python. Responsibilities include adhering to data standards, managing incidents, and following Data Governance guidelines while driving quality analytical outcomes. A focus on continuous learning in analytics is essential.
The Senior Social Data Analyst will provide analytical support to the Client Services team, synthesizing data from various platforms to deliver actionable insights. Responsibilities include aggregating and visualizing data, measuring marketing campaign effectiveness, and developing reports to drive social storytelling.
The Data Analyst II will analyze data for statistical report creation, maintain databases, extract data, and create programs for operational enhancements. They will document procedures, design reports, and perform detailed analyses to support decision-making.
The Data Analyst will ensure seamless data flow across systems by performing data mapping, analysis, and documentation. Responsibilities include developing user stories, conducting testing, and collaborating with teams to validate data integration processes.
As a Market Research Data Analyst, you will collect and analyze market and industry data, develop segmentation reports, perform competitive analyses, and translate findings into actionable insights. You'll automate processes for efficiency and provide analytical support to create impactful marketing strategies for clients.
The Sales Data Analyst is responsible for analyzing and reporting sales-related data to enhance sales efficiency. This role entails KPI calculations, productivity analytics, and preparing performance reports to inform management decisions. Additionally, the analyst will improve data processes and develop reporting tools for effective resource deployment and customer management.
The Data Analyst will assist with database management by gathering business requirements, building dimensional data models, implementing database requirements in FileMaker, and developing packages for data extraction, cleaning, transformation, and loading. The role includes creating SQL Server views and conducting performance tuning while documenting processes for the data warehouse.
The Principal Data Analyst will leverage their expertise in data analytics to enhance the Fortnite ecosystem's economy and user-generated content. Responsibilities include strategic product management, data transformation, collaboration across teams, and utilizing analytical methods to inform decision-making and improve user engagement.
The Principal Data Analyst will use expertise in data analytics to enhance the Fortnite ecosystem economy and user-generated content ecosystem, solve complex problems, manage data analytics processes, and collaborate cross-functionally to support product decisions and improvements.
As a Senior Finance Data Analyst at MMA, you'll leverage your expertise in data analysis and financial reporting to support decision-making within investment and business strategies. Your role includes developing reporting tools, managing a team of analysts, leading analyses, and ensuring data integrity while collaborating with various stakeholders across departments.
As a Data Analyst at Supermove, you will support moving companies by building reports that provide insights to enhance revenue and efficiency. You will identify operational gaps using data, collaborate with a skilled customer success team, and influence the company's growth by delivering optimal software solutions.
The Senior Financial Data Analyst will create and analyze financial statements, partner with operations to improve understanding of earnings, identify challenges and opportunities in branch financials, develop processes for financial data analysis, and design dashboards for better financial insights.
The HR Data Analyst will develop and maintain Workday reports and dashboards, analyze complex HR data for insights, and create visually compelling dashboards in Tableau. This role requires collaboration with Data Product Owners to ensure reporting aligns with strategic initiatives and includes data stewardship responsibilities.
The Senior PX Data Analyst will lead complex people analytics research projects, conduct statistical analysis to identify trends, design and analyze employee surveys, and create presentations for executives. This role requires advanced proficiency in SQL and a strong background in statistical analysis using Python or R, while also providing guidance on best practices in people analytics.
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