Top Data & Analytics Jobs

In this role, you will develop and execute an analytics strategy for the consumer business, collaborate with stakeholders on analytics projects, leverage AI for data modeling, and build robust data visualization capabilities using tools like Looker. You will be responsible for turning complex data sets into actionable insights, championing a data-centric culture, and ensuring data accuracy.

The Strategic Data Manager will lead data strategies, oversee data governance, manage data architecture, and drive data-informed decision-making. Responsibilities include implementing data governance policies, creating a data roadmap, engaging with stakeholders, and using data analysis tools to generate insights for projects.

The Analytics Lead will manage a team of data analysts, utilizing data technologies and statistical methods to create data assets, reports, and insights that drive game development and business decisions at Epic Games. The role involves collaboration with design, engineering, and product management teams to identify opportunities, scope data needs, and ensure data quality. A key part of the role is mentoring the team and leading experiments to enhance gameplay.

As a Data Visualization Lead, you will manage and deliver data visualization projects while leading a team of BI developers and analysts. You will design impactful dashboards, ensure data accuracy and quality, advocate for data-driven culture, and optimize performance, aligning with business goals.

The role involves leading secondary data analytics projects in the pharmaceutical sector to provide insights on healthcare professionals, patients, and market dynamics. The consultant will communicate with stakeholders to address business questions and translate analytics into actionable insights.

As a Data Lead at Lumos, you will enhance data-driven decision-making by developing data infrastructure, creating actionable dashboards, and collaborating with product teams to define key performance indicators. You'll enable customer success teams with data insights and manage operational reporting to drive performance.

The Data Science Consultant leverages analytical skills to bridge the gap between data science and business needs, translating insights into strategies. Responsibilities include collaborating with stakeholders, driving analytics projects, optimizing pricing and menu performance, and communicating data-driven solutions effectively.

The Tech Refresh Data Analyst will perform overall data analysis, providing insights and recommendations for improving Tech Refresh operations, data management, and process automation. Responsibilities also include analyzing complex data sets, identifying trends, and preparing reports for management and stakeholders, while collaborating with engineers, programmers, and management.

The Data Scientist will apply original thinking to analyze complex business problems, design and develop analytics models, and collaborate with business stakeholders and data engineers to identify data sources and create valuable insights. The role focuses on enhancing organizational performance and developing internal data science capabilities.

The Data Wrangler will evaluate and improve high throughput data and metadata quality for bioinformatic use cases, engage with scientists for stakeholder outreach, prepare documentation, and assist in the development of data formats and pipelines.

The role involves conducting hands-on data analytics projects specifically in the pharmaceutical sector. Responsibilities include performing secondary data analytics, understanding business questions, stakeholder management, and communicating insights effectively. Candidates should have expertise in various analytics related to patient insights, market dynamics, and brand performance.

As a Senior Data Scientist at Voleon, you will mentor junior scientists, analyze complex data, design automated analysis pipelines, and communicate insights to stakeholders, all while leveraging machine learning techniques to support investment initiatives.

The Data Scientist will collect, analyze, and interpret data to drive insights for business decisions in the gaming industry. Responsibilities include developing automated processes for analysis, collaborating on end-to-end solutions, and researching machine learning approaches.

The Senior Analytic Methodologist will utilize over eight years of experience in data analytics and management to develop innovative analytical techniques, manage large datasets, and enhance decision-making processes within GEOINT. Responsibilities include using various software tools for data processing, identification, collection, and visualization, as well as staying updated with emerging technologies and methods.

Conduct detailed analyses, create Data Science roadmaps, communicate methodologies, work on end-to-end solutions, identify solutions for client problems.

The Database Administrator is responsible for data analysis and database management, including designing, maintaining, and enhancing database systems. The role requires extensive experience with SQL scripting, MS SQL Server, and agile methodologies, focusing on database performance tuning and security measures.

The Analytics Platforms Lead will manage and optimize the organization's analytics platforms, focusing on Power BI and Tableau. Responsibilities include overseeing platform performance, automation of data workflows, license management, data security compliance, and collaboration with business teams to enhance reporting and visualization capabilities.