Lead Analyst, Data Operations

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• Job Overview
• This role leads the design, execution, and continuous improvement of enterprise-wide data operations processes that ensure the reliability, quality, and accessibility of data supporting T-Ads business decisions. It serves as the senior technical authority for data integrations, pipeline automation, and governance across on-premises and multi-cloud environments, partnering directly with Engineering, Platform, and external vendor teams to resolve complex, high-impact issues. The role owns end-to-end data operations frameworks, service-level standards, and escalation processes, and acts as a technical coach and mentor to junior and mid-level data analysts, without formal supervisory authority. Success is measured by the scalability, automation, and reliability of data operations, the strength of vendor and governance relationships, and the role's ability to elevate technical capability across the broader team. This work directly enables T-Ads to scale data-driven advertising decisions with speed, accuracy, and trust.

• Job Responsibilities :
• •Own and continuously enhance enterprise data operations frameworks, service-level standards, and
• escalation processes spanning data integration, pipeline automation, billing, file transfer, and governance
• across on-premises and multi-cloud environments (Azure, AWS, Google Cloud).

• •Serve as the senior technical authority and escalation point for complex data quality, integration, and
• pipeline issues, building and maintaining infrastructure across tools including Snowflake, AWS Lambda, S3,
• and Streamlit, and partnering with Engineering, Platform, and external vendor teams to drive root-cause
• resolution.

• •Lead migration of manually-maintained processes to fully automated, documented systems — eliminating
• single points of failure and driving self-service capabilities for data refresh, reporting, and dashboard
• processes.

• •Manage data partner and vendor relationships, ensuring adherence to SLAs, contract terms, and
• performance standards for data tools and platforms.

Drive data governance standards and international data expansion efforts across partner integrations.

• •Increase adoption of automation and AI tooling to reduce manual effort and free up capacity for higher
• leverage technical work. Coach and mentor junior and mid-level data analysts on advanced data analysis, quality, and tooling best
• practices, elevating technical capability and data literacy across the team, without formal supervisory
• authority.

Coach and mentor junior and mid-level data analysts on advanced data analysis, quality, and tooling best practices, elevating technical capability and data literacy across the team, without formal supervisory authority; performs other duties and projects as assigned by business management as needed.

Performs other duties and projects as assigned by business management as needed.

• Education and Work Experience :
• •Bachelor's Degree Bachelor’s degree plus 3 years of related work experience
• OR advanced degree with 1 year of related work experience
• OR combination of education and experience deemed equivalent
• (Required)
• •7-10 years Experience in data identification, querying,
• cleaning, wrangling, quality assessment, and
• management across relational and non
• relational databases in big data environments,
• both on-prem and cloud such as Azure, AWS,
• and Google Cloud. (Required)

• •7-10 years Experience translating complex business
• questions into data strategy and applying
• advanced statistical and analytical techniques
• to drive enterprise-level decisions (Required)

• •7-10 years Experience communicating technical concepts
• to executive, technical, and lay audiences,
• including data-driven presentations to senior
• stakeholders (Required)

• •7-10 years Experience working with relational databases
• using SQL (Required)

• •7-10 years Experience with data visualization tools such as
• Power BI, Tableau etc. (Required)

• •4-7 years Experience with big data architecture and
• pipeline, such as Hadoop, Hive, Spark, and
• Kafka (Required)

• •4-7 years Experience with enterprise data integration,
• ETL/ELT automation, and cloud-based data
• platforms such as Snowflake, dbt, or Airflow (Required)

• •3 - 5 years Experience managing or coordinating vendor
• and data partner relationships, including SLA
• and contract performance oversight (Required)

• •3 - 5 years Experience with API-driven data integration,
• including REST APIs and GraphQL (Preferred)

• •2-4 years Experience coaching or mentoring junior
• analysts or team members on data analysis
• and quality best practices (Required)

• •2-4 years Experience contributing to data governance
• frameworks, policies, and compliance/audit
• readiness (Preferred)

Skills :

• •At least 18 years of age
• •Legally authorized to work in the United States

• Travel :
• Travel Required (Yes/No): Yes

• DOT Regulated :
• DOT Regulated Position (Yes/No): No
• Safety Sensitive Position (Yes/No): No

Total Target Cash Earnings Opportunity: $112,930 - $225,860

National Base Pay Range: $98,200 - $196,400

The Total Target Cash Earnings Opportunity represents the expected total cash compensation for this role at target performance, combining base salary and annual incentive opportunity. Actual earnings may be higher or lower depending on individual performance and overall company results.

The base pay range reflects the compensation component of this opportunity. The candidate’s actual pay will be based on various factors, such as work location, qualifications, and experience, so the actual starting pay will vary within this range. To find the pay range for this role based on hiring location, https://paylookup.t-mobile.com/paylookup?reqID=REQ380506&paradox=1

At T-Mobile, employees in regular, non-temporary roles are eligible for an annual bonus or periodic sales incentive or bonus, based on their role. Corporate employees are eligible for a year-end bonus based on individual and/or company performance and which is set at a percentage of the employee’s eligible earnings in the prior year. Certain positions in Customer Care are eligible for monthly bonuses based on individual and/or team performance. The incentive component included in the Total Target Cash Earnings Opportunity reflects target performance. Actual earnings included in the Total Target Cash Earnings Opportunity reflect target performance; actual payouts may vary.

At T-Mobile, our benefits exemplify the spirit of One Team, Together! A big part of how we care for one another is working to ensure our benefits evolve to meet the needs of our team members. Full and part-time employees have access to the same benefits when eligible. We cover all of the bases, offering medical, dental and vision insurance, a flexible spending account, 401(k), employee stock grants, employee stock purchase plan, paid time off and up to 12 paid holidays - which total about 4 weeks for new full-time employees and about 2.5 weeks for new part-time employees annually - paid parental and family leave, family building benefits, back-up care, enhanced family support, childcare subsidy, tuition assistance, college coaching, short- and long-term disability, voluntary AD&D coverage, voluntary accident coverage, voluntary life insurance, voluntary disability insurance, and voluntary long-term care insurance. We don't stop there - eligible employees can also receive mobile service & home internet discounts, pet insurance, and access to commuter and transit programs! To learn about T-Mobile’s amazing benefits, check out www.t-mobilebenefits.com