Hybrid Analytics Engineer

at Mars United Commerce

• Job title: Analytics Engineer
• Job type: Full Time
• Experience level: Mid level, Senior
• Salary: $72,390 - $90,440 per year
• Degree requirement: Bachelor's Degree
• Tech skills: Apache, AWS, Azure, Cloud, ETL, Hadoop, Python, PyTorch, Scikit-Learn, Spark, SQL, Tensorflow
• Location requirements: Hybrid, Atlanta, United States

About the role

• Analytics Engineer building data pipelines, ML models, and PowerBI at Mars United Commerce. Supporting data governance, ETL/ELT, and client-facing analytics initiatives.

Responsibilities

• Develop and maintain data pipelines and ETL processes
• Optimize data infrastructure for efficient data processing
• Ensure data quality and accessibility for data scientists and analysts
• Collaborate with cross-functional teams to address data needs and challenges
• Implement data governance and security best practices
• Support annual planning initiatives with clients
• Work closely with cross-functional teams, including analysts, product managers and domain experts to understand business requirements, formulate problem statements, and deliver relevant data science solutions
• Develop and optimize machine learning models by processing, analyzing and extracting data from varying internal and external data sources
• Develop supervised, unsupervised, and semi-supervised machine learning models using state-of-the-art techniques to solve client problems
• Show up - be accountable, take responsibility, and get back up when you are down
• Make stuff
• Share so others can see what’s happening
• Establish and create scalable and intuitive reporting methodologies through Power BI, suggesting the best representation and visualizations
• Identify business intelligence needs recommending the best KPIs and customer valuation models and dashboards
• Interpret data, analyze results, and identify trends or patterns in complex data sets
• Filter and “clean” data and review computer reports, printouts, and performance indicators to locate and correct data corruption problems
• Automate data pipelines and develop automation workflows
• Develop Single Customer View stitching 1P data from various data sources

Requirements

• A bachelor’s/master’s degree in data analytics, computer science, or a directly related field
• 3-5 years of industry experience in a data analytics or related role
• Proficiency in SQL for data querying and manipulation
• Experience with data warehousing solutions
• Design, implement, and manage ETL workflows to ensure data is accurately and efficiently collected, transformed, and loaded into our data warehouse
• Proficiency in programming languages such as Python and R
• Experience with cloud platforms such as AWS, Azure, and Google Cloud
• Experience in developing and deploying machine learning models
• Knowledge of machine learning engineering practices, including model versioning, deployment, and monitoring
• Familiarity with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit-learn)
• Ability to design and develop scalable data pipelines for batch and real-time data processing
• Experience with big data technologies such as Apache Spark, Hadoop, or similar
• Proficiency in working with structured and unstructured data sources
• Knowledge of data governance and security best practices
• Strong understanding of data modeling techniques and best practices
• Experience with DevOps or MLOps practices for continuous integration and deployment
• Establish and create scalable and intuitive reporting methodologies through Power BI, suggesting the best representation and visualizations
• Identify business intelligence needs recommending the best KPIs and customer valuation models and dashboards
• Interpret data, analyze results, and identify trends or patterns in complex data sets
• Filter and “clean” data and review computer reports, printouts, and performance indicators to locate and correct data corruption problems
• Data collection, setting and leveraging DMP and CDP-based infrastructures, attribution modeling, A/B & multivariate testing, and dynamic creative
• Develop, evaluate, test, and maintain architectures and data solutions such as ETL Pipelines, Data Warehouses, Data Marts, etc
• Automate data pipelines and develop automation workflows
• Develop scalable and intuitive ETL & ELT pipelines from a variety of marketing sources such as Salesforce, Adobe Analytics, etc
• Identify data sources and create data pipelines using shell scripts or Python scripts
• Create technical documentation
• Plan data analysis work and develop execution estimates, continuously improving the accuracy of the estimates
• Develop Single Customer View stitching 1P data from various data sources

Benefits

• comprehensive group health plans
• a parental leave program that includes paid maternity and paternity benefits for pregnancy, adoption and surrogacy
• flexible paid time off
• a broad and confidential employee assistance program
• ongoing wellness support initiatives
• trusted financial health advice and guidance
• promotion of education through tuition support and assistance
• a flexible and supportive work environment and culture
• Temporary roles may be eligible to participate in our freelancer/temporary employee medical plan through a third-party benefits administration system once certain criteria have been met
• Temporary roles may also qualify for participation in our 401(k) plan after eligibility criteria have been met
• For regular roles, the Company will offer medical coverage, dental, vision, disability, 401k, and paid time off.