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Top Data Analyst Jobs in London
As a Data Analyst, you will translate business requests into data insights, build and maintain dashboards, manage data transformations, and collaborate with various teams to refine metrics and reporting standards. You'll leverage modern data practices to drive company growth.
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 People Data Analyst, you will build data solutions for workforce planning and talent strategy. Responsibilities include creating dashboards in Tableau, enhancing data pipelines using SQL and Python, conducting ad-hoc analytics, and supporting the HR team with data insights to drive strategic decisions.
As a Product Data Analyst, you will analyze client usage of reporting tools and provide improvement recommendations. You will generate internal reports, ensure data quality, maintain documentation, and mentor team members in analytics best practices while collaborating with customer success and product teams.
As a Data Analyst at Howden, you will develop financial risk models focused on climate and nature risks. Your responsibilities include data collection, analysis, and reporting to support accurate risk assessments, with an emphasis on clear communication of complex data.
The Data Analyst will drive key business projects in the Global Cyber team, generating insights from data analysis and collaborating with various teams. Responsibilities include data manipulation, trend identification, requirements refinement, KPI definition, and ensuring proper implementation of data solutions.
The Data Analyst will enhance reporting tools and dashboards, deliver data analysis across funnels and patient experiences, develop the global data model with a focus on UK cases, and collaborate with product teams to monitor feature performance.
As an Industry Analytics Associate, you'll conduct industry research and analytics focused on credit risk in the wholesale sector. Your responsibilities include leading risk trend analysis, developing financial models, and creating reports to support strategic decisions. You will collaborate with teams to integrate findings and monitor economic trends.
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The European CS Data Analyst is responsible for analyzing data, finding trends, and identifying opportunities to improve customer service operations. They will work on improving and automating code, creating performance reporting templates, interpreting data from multiple sources, and developing analytical solutions. Strong communication, analytical, and SQL skills are required for this role.
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.
Join our team as a Junior Data Analyst to gain hands-on experience in data processing, analysis, and visualisation. Responsibilities include data collection, analysis, reporting, and collaboration with senior analysts while supporting your development through comprehensive training.
As a Senior Data Analyst, you will manage projects, utilize strong analytical skills, and deliver insights to improve client performance. You'll mentor junior analysts and utilize tools like Python, SQL, and various analytics platforms to support client objectives and data-driven decision making.
The Senior Data Analyst will support decision-making by providing data products, guiding business leaders with data-driven insights, and enhancing data literacy across the organization. The role involves designing workflows, leveraging data for improved performance, and sharing best practices with the Global Analytics team.
As a Senior Data Analyst, you will own analytical output across various clients, offering insights to account teams. Your responsibilities include solving ad hoc requests, building marketing-mix models, mentoring junior members, and employing coding skills for process efficiencies. You will also be involved in creating visual presentations for stakeholders.
The FX Data and Analytics Analyst will work within the Foreign Exchange Trading Department, responsible for data initiatives and maintaining a cutting-edge data environment. The role involves utilizing KDB+ and Python to drive analytics, interact with various teams, and contribute to projects like Transaction Cost Analysis and Performance Attribution.
The Senior Data Analyst analyzes data for initiatives to improve business efficiency and develop creative solutions. They manage work streams, collaborate with stakeholders, develop tools for decisions, and assume project management duties as needed. The role requires expertise in data management, quality standards, visualization tools, and data pipeline building.
The Technical Data Quality Analyst will implement and maintain data quality frameworks, collaborate with stakeholders for requirements, develop technical data quality rules, automate validations using SQL, and perform data quality testing. They will also provide training, support data quality improvement initiatives, and document findings for remediation.
As a Senior Data Analyst, you will analyze data to provide actionable insights, collaborate with various departments to define strategies, and support decision-making through data dashboards and visual presentations. You'll manage ad-hoc analyses and measure impact for product launches, fostering a data-driven culture within Airalo.
As a Sr. Data Analyst, you will analyze data from sales processes and product usage to provide actionable insights, support Sales, Marketing, and Product teams, and create dashboards using SQL and Tableau. Collaboration with various departments is essential to align analytics with business strategies, while also guiding data modeling and mentoring junior team members.
As a Data Quality Analyst, you will support the Global Data Quality strategy, working with various teams to implement data quality rules, ensure high-quality master data, and drive large-scale data cleansing projects. You will manage data quality assets, perform root cause analysis, and deliver specifications to the DevOps team using AGILE methods.
The Data Discovery Analyst will lead data discoveries with Local Authorities, documenting both digital and non-digital data sources. Responsibilities include data quality assessment, creating process flows, report writing, and stakeholder management, along with supporting process improvements and transformations.
The Data Analyst will build data analytics and reporting solutions, identify process inefficiencies, collaborate with business groups for data integration, and support various teams with data-driven insights and reporting.
The Data Insights Analyst will transform data into actionable insights, build and design dashboards using BI tools like Power BI and Tableau, and conduct advanced analytics to support strategic decision-making. Collaboration with cross-functional teams and communication of complex findings to stakeholders are key responsibilities. The role also includes managing data quality and supporting a team of analysts.
The Senior Data Analyst will deliver data-driven insights to support business decisions by working with stakeholders, applying analytical techniques, and presenting findings effectively. The role requires ownership of complex projects and a focus on innovation and best practices in a collaborative environment.
As a Data Insight Analyst, you will develop and implement data-driven strategies to enhance sales performance, customer retention, and operational efficiency. You will collaborate with various teams to deliver insights that guide decision-making, improve sales processes, and identify growth opportunities. Your role will focus on tracking sales activities, optimizing customer engagement, and enhancing the Go-To-Market strategy.
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