Top Data & Analytics Jobs in Atlanta, GA
As a Lead Data Engineer, you will collaborate with Agile teams to design and implement technical solutions, work on machine learning and full-stack systems, and mentor other engineers. You will harness your expertise in cloud computing and big data technologies to deliver impactful solutions that enhance customer experiences.
As a Data Scientist on Square's Payments Platform team, you'll leverage analytics, machine learning, and engineering to improve payment processes. Your role includes designing metrics, leading experiments, building ETL pipelines, and collaborating with cross-functional teams to optimize payment efficiency and drive data-driven decision making.
The Senior Data Analyst will leverage data to drive strategic decision-making and contribute to organizational success. Responsibilities include collaborating with various teams, performing data analysis, developing dashboards and visualizations, monitoring product performance, and promoting a data-informed culture within the company.
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As a Credit Analyst, you'll underwrite and process new auto loan applications, analyze credit worthiness and risk, negotiate with auto dealer partners, and resolve loan issues while staying current with economic trends and regulations.
The Director, Data Integration will oversee claims data integration, ensuring accurate and timely data integration across systems. This role involves leading a team of data engineers, shaping data strategy, engaging in product development, and collaborating closely with clients to drive successful data initiatives.
As a Senior Data Engineer at Arcadia, you will develop solution architecture, automate data pipelines connecting client claim and clinical data platforms with our health solution platform, and contribute to improving data integration tools. You will participate in scrum ceremonies, code reviews, and manage multiple implementations simultaneously.
The Senior Manager of Data Science will lead the development of a high-performing data science team, translating business problems into impactful data science projects, coaching team members, and fostering a results-driven culture focused on delivering measurable outcomes.
The Outcomes Research Data Scientist will analyze Tempus data for real-world evidence (RWE) studies, interpret results, communicate findings, collaborate with various teams to enhance data quality, and ensure compliance with regulations. Candidates should possess experience in oncology, biostatistics, and handling observational healthcare data.
As a Business Intelligence Manager at Alma, you will drive efficiency by analyzing data to support decision-making and partnerships. You will create interactive reports and dashboards, identify opportunities for efficiency, and collaborate with the Data Engineering team to enhance data capabilities.
The Sr. People Data Analyst role focuses on leveraging data to improve employee engagement and retention. Responsibilities include analyzing people data, developing dashboards and metrics, and collaborating with HR leaders to provide actionable insights. The analyst will also ensure data integrity and use visualization tools to communicate findings effectively.
The Senior People Systems Analyst is responsible for managing, maintaining, and optimizing recruiting systems including CRM (Gem) and ATS (Greenhouse). This role involves collaborating with recruiting, HR, and IT teams, troubleshooting system issues, providing training, and developing system reports to enhance recruitment operations.
The Senior Clinical Informaticist acts as a liaison between clinical care and IT, optimizing healthcare strategies through data analytics and technology integration. Responsibilities include supporting quality improvement measures, translating clinical hypotheses into analytical requirements, and applying industry best practices in health informatics.
The Data Scientist Co-Op will analyze healthcare and product data, gather business requirements, and deliver analytic insights. The role requires using programming languages and data visualization tools to support clinical programs and present findings. Teamwork and empathy are emphasized for success in this fast-paced environment.
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