JOB SUMMARY

This position is responsible for implementation of data services and modification and enhancement of data architecture, automation and planning.

MAJOR DUTIES AND RESPONSIBILITIES

Actively and consistently supports all efforts to simplify and enhance the customer experience

Implement data services, data structure/models and data movement infrastructures

Provide and implement preventative solutions and troubleshoots data job failures, including but not limited to error handling, data manipulation and I/O processing under minimal supervision

Implement database concepts and practices, including definition and query language

Modify, enhance, and influence requirements and architecture specifications of data warehousing systems and/or processing infrastructure

Implement solutions with stakeholder teams to design, implement, and support end to end data solutions, across multiple platforms, environments, domains, and locations

With minimal supervision, works closely with internal staff, vendors, consultants, and external partners to quickly identify and resolve data integration

With minimal supervision, participate in development of reporting processes, programs, and solutions as per established standards

REQUIRED QUALIFICATIONS

Required Skills/Abilities and Knowledge

Ability to perform in-depth and independent research and analysis with some guidance Intermediate knowledge of SQL and Python (YAML – if applicable) Intermediate knowledge of Data Tools including querying, scripting, analysis, ETL, and command line interfaces Intermediate knowledge cloud-based infrastructures and services relevant to data processing, data automation and data platform/processing troubleshooting Knowledge of Charter’s product data sources and data pipelines Ability to apply appropriate level of data maintenance, data quality control and validation of code, tools, and models as directed Intermediate knowledge of reporting Development and visualization design Experience with building use cases and providing development support to data scientists and data engineersExperience with data lake – all data sources - building out data sets for use cases Experience with building SQL databases and tables Experience with querying and designing efficient warehousing structures

Required Education

Bachelor's degree in computer science, statistics, operations research and/or equivalent combination of education and experience Prior Internship, related course work, or certification

Required Related Work Experience and Number of Years

ETL experience – 1+ years Experience with SQL, Shell Script, Python, JSON – 1+ years Data integration experience – 1+ years Data visualization experience (Tableau, Alterx, Microstrategy) – 1+ years Data/Software engineering experience – 1+ years

WORKING CONDITIONS

Office environment
BDA322 2024-42009 2024

Here, employees don’t just have jobs, they build careers. That’s why we believe in offering a comprehensive pay and benefits package that rewards employees for their contributions to our success, supports all aspects of their well-being, and delivers real value at every stage of life.


A qualified applicant’s criminal history, if any, will be considered in a manner consistent with applicable laws, including local ordinances.

This job posting will remain open until 2024-11-25 06:00 PM (UTC) and will be extended if necessary.

The base pay for this position generally is between $78,900.00 and $139,500.00. The actual compensation offered will carefully consider a wide range of factors, including your skills, qualifications, experience, and location. We comply with local wage minimums and also, certain positions are eligible for additional forms of other incentive-based compensation such as bonuses.



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