Data Analyst

T-Mobile•Maitland, FL

2d•$68,000 - $122,700•Hybrid

About The Position

This position supports organizational decision-making by analyzing business requirements and translating them into data requirements such as reports and visualizations. It involves analyzing and interpreting complex data sets to identify trends and inform business strategies. The role requires collaboration with various stakeholders to define data elements, capture metadata, and prepare data for analysis. Success is measured by the accuracy and relevance of data insights and the timely delivery of data products. The work impacts the organization by enabling data-driven decisions and improving data quality management processes.

Requirements

Bachelor’s degree in business Analytics, Business Administration, Statistics, Mathematics, or a related field; combination of education and experience deemed equivalent (required)
At least 18 years of age
Legally authorized to work in the United States

Nice To Haves

Familiarity with data governance principles or data management best practices is a plus.
2-4 years’ experience in data identification, querying, cleaning, wrangling, checking quality, working with common relational and non-relational databases in big data environments on both on-prem and cloud such as Azure, AWS and Google Cloud (Preferred)
2-4 years’ experience articulating and translating business questions and using statistical techniques to arrive at an answer using data (Preferred)
2-4 years’ experience in writing and speaking about technical concepts to business, technical, and lay audiences and giving data-driven presentations (Preferred)
2-4 years’ experience working with relational databases using SQL (Preferred)
2-4 years’ experience with data visualization tools such as Power BI, Tableau etc (Preferred)
2-4 years’ experience with big data architecture and pipeline, such as Hadoop, Hive, Spark, and Kafka is a plus (Preferred)
Telecommunications (Preferred)

Responsibilities

Assist in monitoring data quality metrics, scorecards, and controls to identify data anomalies, inconsistencies, and quality issues.
Investigate data discrepancies and support root cause analysis efforts in partnership with Data Quality, Reporting, and Data Engineering teams.
Track and document data quality issues, resolutions, and corrective actions.
Create and maintain process documentation, standard operating procedures, and quality control documentation.
Support audits, compliance reviews, and governance assessments by gathering and organizing required documentation.
Recommend process improvements that enhance data quality, governance effectiveness, and operational efficiency.
Perform data profiling and monitor data quality by working with data stewards and quality leads to support remediation efforts.
Partner with product owners and agile teams to ensure timely and quality delivery of data-related projects.
Interpret data models and convert user requirements into technical specifications and design documents.
Also responsible for other duties/projects as assigned by business management as needed.