Top Data & Analytics Jobs

The AI, Data Strategy and Integration Lead at Golin will develop and implement a comprehensive data strategy to power AI-driven solutions. Responsibilities include establishing a data lake, managing data governance, and overseeing data acquisition partnerships. The role requires close collaboration with AI technology leaders and practice groups to drive innovation and optimize data use across the agency.

The Sr. Software Engineer for Data & Analytics at Early Warning develops, documents, tests, and maintains data engineering solutions. Responsibilities include building data solutions, advanced analytics, collaborating with teams, and ensuring system integrity and performance.

As a Data Analytics Consultant, you will analyze large datasets, design and maintain dashboards, and conduct statistical analyses to inform business decisions. You’ll leverage SQL, Python, and Excel while collaborating with clients and stakeholders to deliver impactful data solutions. Mentorship will be provided to foster personal and professional growth.

As a Data Science Manager, you will lead a team of data scientists to leverage data insights for driving growth in Pinner-facing Ad Format Experiences. You will structure ambiguous business challenges into actionable plans and ensure high-quality technical outputs. Collaboration with product and engineering partners is key, alongside effective communication of analytics to various stakeholders.

The HR Data & Analytics Leader will enhance HR reporting and analytics capabilities to translate workforce data into actionable insights. This role involves collaborating with HR and business leaders to develop key metrics, dashboards, and predictive models while ensuring data integrity and governance. The leader will drive the adoption of automated solutions and mentor the analytics team.

As Data Technical Lead, you will oversee the delivery of data consulting projects, guide data modeling and analytics, develop innovative solutions, maintain client relationships, mentor team members, and participate in business development activities. Your leadership will ensure projects meet client expectations and align with market demands.

As a Data Scientist II, you will lead analytics engagements by synthesizing analyses into key findings, coach junior team members, and manage large-scale analytical workstreams. The role emphasizes problem-solving in a team-oriented environment, particularly within the pharmaceutical and biotechnology sectors.

The Senior Manager of Strategic Planning/Data Analytics will develop strategic insights to shape the Customer Success organization. Responsibilities include data analysis and interpretation, dashboard development, data cleaning, feature engineering, reporting, and collaborative problem solving with stakeholders.

The Senior/Lead Data Scientist will develop and maintain predictive models, analyze data patterns, and automate analytic procedures. Responsibilities include enhancing decision-making insights for clients, conducting complex analyses, and coordinating across teams for successful project execution.

As a Data Engineer at Brex, you will transform raw data into actionable insights, collaborating with teams to create data models and pipelines. You'll maintain high-quality data sources, ensure data solution reliability, and act as a bridge between technical and non-technical teams.

The role involves building advanced analytical models and identifying new business opportunities through data analysis. Responsibilities include data monitoring, ensuring best practices in data processing, and developing web solutions for data collection and visualization.

As a Senior Data Analyst at the Wikimedia Foundation, you will analyze global fundraising campaigns, develop KPIs, provide insights on fundraising strategies, support A/B testing, and ensure data quality. You will collaborate with various teams to enhance data-driven decision-making and improve the donor experience.

The Data Scientist will enhance organizational performance through innovative analytics models and processes. Responsibilities include collaborating with business stakeholders to identify opportunities for analytics solutions, conceptualizing and designing models to address business problems, sourcing data with Data Engineers, and fostering data science capabilities within teams.

The Lead, Advanced Analytics will provide diagnostic insights across various markets to support strategic decisions. The role involves conducting advanced data analysis, collaborating with teams, and developing benchmarks for performance metrics. This position emphasizes data-driven insights to understand key business metrics and influence strategy.

Collaborate with business users to support process automations, build end-user dashboards, create reporting, and provide support for strategic expansion roadmaps in the Credit/AR organization. Utilize Process Query Language (PQL) for analytical formulas and data querying within Celonis. Document and track automation development, support vendor relationships, and optimize processes for efficiency and value creation.

As a Senior Data Analytics Engineer, you will support cross-functional teams with data analysis, build and maintain dashboards, and develop and manage data pipelines. Your work will involve creating reusable datasets and components for data analytics, ensuring data quality, and communicating insights effectively to stakeholders.

As a Quantitative Analytics Senior at Freddie Mac, you will analyze large datasets, support model development and performance monitoring, conduct research, and provide analytics for loan portfolios while communicating findings to diverse audiences.