Data Analyst

Role overview

This position plays a key part in helping the business make informed decisions by converting business needs into data requirements, including reports and visual dashboards. The work involves examining and interpreting complex datasets to uncover patterns, support strategy, and improve data quality practices. The role requires close coordination with multiple stakeholders to define data elements, capture metadata, and prepare information for analysis. Performance is judged by the usefulness and accuracy of insights delivered, along with the speed and reliability of data products.

Location and work setup

This role must be based in Bellevue, WA, Frisco, TX, Overland Park, KS, New York, NY, or Maitland, FL. It is not a fully remote position and follows a hybrid arrangement that requires at least three days per week in the office.

Key responsibilities

• Support the tracking of data quality measures, scorecards, and controls to surface anomalies, inconsistencies, and other quality concerns.
• Work with Data Quality, Reporting, and Data Engineering partners to research data mismatches and assist with root-cause analysis.
• Maintain records of data issues, fixes, and corrective actions taken.
• Develop and update process guides, standard operating procedures, and quality-control documentation.
• Help with audits, compliance checks, and governance reviews by collecting and organizing supporting materials.
• Suggest process enhancements that strengthen data quality, governance, and operational effectiveness.
• Carry out data profiling and quality monitoring with data stewards and quality leads to aid remediation work.
• Partner with product owners and agile teams to support timely, high-quality delivery of data initiatives.
• Review data models and turn business requirements into technical specifications and design documentation.
• Handle other related duties or projects as assigned by management.

Experience and qualifications

A bachelor’s degree in Business Analytics, Business Administration, Statistics, Mathematics, or a related discipline is required, or an equivalent mix of education and experience. Experience with data governance concepts or data management best practices is considered an advantage. The ideal candidate brings 2 to 4 years of experience in identifying, querying, cleaning, wrangling, and validating data, including work with relational and non-relational databases in big-data environments across on-premise and cloud platforms such as Azure, AWS, and Google Cloud. Also preferred are 2 to 4 years of experience translating business questions into analytical answers using statistical methods, presenting technical concepts clearly to different audiences, working with SQL, and using visualization tools such as Power BI or Tableau. Experience with big-data architecture and pipelines such as Hadoop, Hive, Spark, and Kafka is a plus. Telecommunications experience is also preferred. Candidates must be at least 18 years old and legally authorized to work in the United States.

Compensation and rewards

The base pay range for this role is $68,000 to $122,700 per year, and the corporate bonus target is 10%. Actual pay will depend on factors such as location, qualifications, and experience. Regular non-temporary employees may be eligible for an annual bonus or periodic incentive, depending on role and performance.

Benefits and total rewards

The company offers a broad benefits package for eligible full-time and part-time employees, including medical, dental, and vision coverage, flexible spending accounts, 401(k), employee stock grants, employee stock purchase plan, paid time off, up to 12 paid holidays, paid parental and family leave, family-building support, backup care, enhanced family support, childcare subsidy, tuition assistance, college coaching, short- and long-term disability, voluntary AD&D, accident, life, disability, and long-term care insurance. Eligible employees may also receive mobile service and home internet discounts, pet insurance, and access to commuter and transit programs. Employees also have access to annual stock grants, stock purchase opportunities, and free year-round money coaching as part of the total rewards approach.

Equal opportunity and accommodation

The employer provides equal employment opportunity and does not tolerate discrimination, retaliation, or harassment based on protected characteristics under federal, state, or local law. Applicants needing reasonable accommodation during the application or interview process can request assistance through the designated accommodation contact.