Senior Lead Data Analytics Engineer

Cox Enterprises, LLC • Atlanta, GA

356d • $131,600 - $219,400

About The Position

We are seeking a highly skilled experienced Senior Lead Data Analytics Engineer responsible for designing, developing and maintaining the data integration and analytics solutions to support initiatives under network operations data effectiveness organization. A proven track record in the Data Integration and Analytics ecosystem with experience in working with leadership teams on developing long term strategies that provide value to the business. To be successful in this role one must be able to work effectively in a high volume, extremely fluid and fast-paced data environments with experience working across latest technologies along with the understanding around data across systems. Senior Lead will balance hands-on technical expertise with thought leadership to deliver scalable, secure, and innovative solutions that meet organization goals.

Requirements

• Bachelor's degree in a related discipline and 8 years' experience in design and developing data engineering solutions.
• Cloud ETL and Analytics experience designing and building end to end production solutions/pipelines.
• Exceptional programming skills and ability to utilize a variety of data/analytic tools (e.g., Spark, Tensorflow, Keras, SageMaker, Docker, Python.) and ability to master new languages quickly.
• Experience in designing, developing, and maintaining data architectures that support business objectives, including data modeling, schema design, and ETL processes.
• Hands-on SQL experience is a must across on-prem, cloud database technologies.
• Familiarity with DevOps practices, including CI/CD pipelines for data integration.
• Experience with AI/ML frameworks (e.g., TensorFlow, PyTorch) and implementing data-driven AI capabilities.

Nice To Haves

• Experience with data warehousing technologies such as Amazon Redshift or Snowflake is also desirable.
• Experience with big data technologies such as Hadoop, Spark, or Kafka is highly desirable.
• Experience with Tableau, PowerBI to support development activities within the organization.
• Strong technical background to effectively understand data and processes within an organization to provide optimization recommendations.
• Excellent data analysis skills and experience analyzing complex data sets to identify trends, patterns, insights that can be used to improve business processes.
• Strong leadership skills and the ability to lead teams providing technical solutions, building prototypes and enabling cross functional teams with the information/insights.
• Excellent communication skills, both written and verbal.

Responsibilities

• Lead multiple projects in data integration, automation, and analytics to provide business insights for the network fulfillment operations team.
• Provide technical expertise in designing and developing AI/ML capabilities to enhance analytics and predictive modeling.
• Design and implement an architecture for efficient data storage, retrieval, and analysis, ensuring data quality and consistency.
• Lead ETL tool consolidation initiatives to build a network fulfillment data effectiveness layer.
• Design and develop ETL solutions in the cloud, leveraging data lake assets and automation solutions in Power Platform.
• Develop automated anomaly detection capabilities across multiple datasets/domains to reliably detect meaningful, actionable anomalies.
• Integrate data from various sources to create a comprehensive view of the organization's business operations.
• Use basic and advanced analytics techniques to extract insights from data for data-driven decision-making.
• Develop and implement process metrics to measure the effectiveness and efficiency of processes.
• Collaborate with business leaders and stakeholders to provide insights for informed decision-making regarding business process effectiveness.
• Recommend process improvement initiatives based on data insights and work with cross-functional teams to identify optimization opportunities.
• Lead data engineers to maintain enterprise standards and best practices, ensuring compatibility, scalability, and integration with other data platforms.
• Ensure team members adhere to data integration and analytics practices within operational bounds consistently.

Benefits

• Flexibility to take as much vacation with pay as they deem consistent with their duties.
• Seven paid holidays throughout the calendar year.
• Up to 160 hours of paid wellness annually for their own wellness or that of family members.
• Additional paid time off in the form of bereavement leave, time off to vote, jury duty leave, volunteer time off, military leave, and parental leave.
• Health care insurance (medical, dental, vision).
• Retirement planning (401(k)).
• Paid days off (sick leave, parental leave, flexible vacation/wellness days, and/or PTO).

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Industry: Personal and Laundry Services
• Education Level: Bachelor's degree