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Mobile At&T Data Analyst Jobs (NOW HIRING)

... and sit at the intersection of data, technology, and the business. You'll be close to the data ... This isn't a reporting-factory role. You'll help frame the questions and define the methodology.

Required Skills: 1) Data analysis of SQL Server databases. 2) T-SQL ability; writing queries. 3) ... at 303-557-4014.

We specialize in Mobile development, i.e. iPhone and Android apps. We use Objective C and Swift ... Take a shot at us for your IT requirements and experience a radical change. Position Description We ...

We specialize in Mobile development, i.e. iPhone and Android apps. We use Objective C and Swift ... Take a shot at us for your IT requirements and experience a radical change. Position: Data Analyst ...

We strive for inclusion at Stio and in our local and national communities. YOUR ROLE The Data ... The right person doesn't hesitate to sweep the floor (fix a broken Excel link), isn't afraid to ...

We strive for inclusion at Stio and in our local and national communities. YOUR ROLE The Data ... The right person doesn't hesitate to sweep the floor (fix a broken Excel link), isn't afraid to ...

We at Coders Data, discern well the fundamentals and building blocks of a successful software ... Write requirements for additional data collection through a mobile application * Technical problem ...

We strive for inclusion at Stio and in our local and national communities. YOUR ROLE The Data ... The right person doesn't hesitate to sweep the floor (fix a broken Excel link), isn't afraid to ...

We strive for inclusion at Stio and in our local and national communities. YOUR ROLE The Data ... The right person doesn't hesitate to sweep the floor (fix a broken Excel link), isn't afraid to ...

We at Coders Data, discern well the fundamentals and building blocks of a successful software ... Write requirements for additional data collection through a mobile application * Technical problem ...

Data Analyst

Washington, DC ยท On-site

$70K - $100K/yr

Position Overview The Data Analyst supports the development of dashboards, reports, data ... Additional details may be found at Pantheon Data Important Information All qualified applicants ...

I have an opportunity for a " Data Analyst " - (Alpharetta, GA - Onsite ). and I am looking for a ... Someone that is hands-on technically with t-sql and other data exploration technologies (python ...

Let's talk about how you can find your place here at Stifel, where success meets success . The Data ... Build and leverage T-SQL queries to fulfill ad-hoc data requests or support data analysis needs ...

Let's talk about how you can find your place here at Stifel, where success meets success . What You ... Build and leverage T-SQL queries to fulfill ad-hoc data requests or support data analysis needs ...

Senior Data Analyst

Littleton, CO ยท On-site

$100K - $118K/yr

Today, our brands include Boost Mobile, DISH TV, Gen Mobile, Hughes and Sling TV. Our Retail ... Working at the intersection of business strategy and technical execution, this position translates ...

Let's talk about how you can find your place here at Stifel, where success meets success . What You ... Build and leverage T-SQL queries to fulfill ad-hoc data requests or support data analysis needs ...

Data Analyst

Dallas, TX ยท On-site +1

... t been able to find a position that fits, we'd still love to hear from you! Please take a look at ... The Data Analyst (SQL) will be primarily responsible for the following: * Integrate data from ...

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Mobile At T Data Analyst information

See salary details

$34K

$82.6K

$136K

How much do mobile at&t data analyst jobs pay per year?

As of Aug 8, 2026, the average yearly pay for mobile at&t data analyst in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

What is the difference between Mobile At&T Data Analyst vs Mobile At&T Business Analyst?

AspectMobile At&T Data AnalystMobile At&T Business Analyst
Required CredentialsBachelor's in Data Science, Analytics, or related field; SQL, Excel, data visualization skillsBachelor's in Business, Management, or related; strong communication and problem-solving skills
Work EnvironmentData-focused, technical teams, analytics departmentsCross-functional teams, project management, stakeholder interaction
Employer & Industry UsageTelecommunications, data-driven roles within AT&T

The Mobile At&T Data Analyst primarily focuses on analyzing data to support decision-making, requiring technical skills like SQL and data visualization. In contrast, the Mobile At&T Business Analyst emphasizes understanding business needs, communicating insights, and managing projects. Both roles are essential within AT&T's telecommunications environment but serve different functions based on technical versus business expertise.

What are the key skills and qualifications needed to thrive as a Mobile AT&T Data Analyst, and why are they important?

To thrive as a Mobile AT&T Data Analyst, you need strong analytical skills, proficiency in statistical analysis, and a relevant degree such as in data science, statistics, or computer science. Familiarity with data visualization tools (like Tableau or Power BI), SQL databases, and AT&T-specific data platforms or telecom analytics systems is typically required. Exceptional problem-solving, communication, and attention to detail help analysts effectively interpret and share insights with technical and non-technical stakeholders. These capabilities are crucial for transforming complex data into actionable strategies that support business goals in a competitive telecommunications environment.

What are some typical challenges faced by a Mobile AT&T Data Analyst when working with large-scale network data?

Mobile AT&T Data Analysts often encounter the challenge of managing and interpreting vast volumes of complex network data generated by millions of mobile devices. Data integrity, real-time analysis requirements, and ensuring data privacy are frequent concerns. Analysts must also collaborate with network engineers and business teams to translate technical insights into actionable recommendations for service improvement. Staying updated with evolving analytics tools and telecommunications standards is essential for success in this fast-paced environment.

What does a Mobile AT&T Data Analyst do?

A Mobile AT&T Data Analyst is responsible for collecting, analyzing, and interpreting data related to AT&T's mobile services. They help the company understand customer usage patterns, troubleshoot network issues, and identify areas for service improvement. Their work supports business decisions, enhances customer experiences, and optimizes network performance. Analysts often use specialized software and databases to manage large volumes of data and generate actionable insights.
What cities are hiring for Mobile At&T Data Analyst jobs? Cities with the most Mobile At&T Data Analyst job openings:
What are the most commonly searched types of At&T Data Analyst jobs? The most popular types of At&T Data Analyst jobs are:
What states have the most Mobile At&T Data Analyst jobs? States with the most job openings for Mobile At&T Data Analyst jobs include:

Data Analyst

Inficare Technologies

Richardson, TX โ€ข On-site

Full-time

This job post hasย expired today.ย Applications are no longer accepted.


Job description

Role : Data Analyst
Location : Richardson, TX (Hybrid)
Key Skills:
  • Must be proficient in using AI
  • Experience with commercial real estate data
  • Able to present and communicate ideas to C-suite executives
  • Software skills: Proficiency with Microsoft Office tools (Word, Excel, Outlook, PowerPoint) and familiarity with modern analytics and data warehousing platforms (e.g., Snowflake, Databricks)

Job Description:
As a Data Analyst on the Advisory Data & Research team, you'll own analytical workstreams end-to-end, partner closely with a scrum team, and sit at the intersection of data, technology, and the business. You'll be close to the data - and close to the users - shaping what gets measured and why.
This isn't a reporting-factory role. You'll help frame the questions and define the methodology. You will drive the analysis, and be accountable for the insights. You'll partner with UX designers and product managers to embed analytics people actually use, push engineering teams on data quality and pipeline reliability, and represent your findings to business leaders and D&T leadership alike.
What You'll Do
โ€ข Own analytical workstreams end-to-end - synthesize input from users, business stakeholders, and D&T leadership into a clear, prioritized set of questions to answer and metrics to track.
โ€ข Build, maintain, and refine dashboards, reports, and self-service analytics: write clean, well-documented SQL, groom data backlogs, lead refinement sessions with stakeholders, and actively participate in scrum ceremonies, demos, and lead user testing and rollout of analytical products.
โ€ข Drive data discovery alongside Product and UX partners - conduct user research on analytical needs, run feedback sessions, and champion the end-user perspective in every metric and visualization decision.
โ€ข Translate business questions into execution by collaborating closely with Engineering and Data Engineering, turning analytical requirements into well-modeled, reliable, queryable data.
โ€ข Define and deliver specific analyses end-to-end, from problem framing through validation, presentation, and measurement of impact.
โ€ข Represent your analysis to business leadership and D&T leadership - providing crisp, regular readouts and connecting day-to-day work to broader strategic goals.
โ€ข Spot data quality problems before they become blockers: proactively investigate anomalies, resolve issues, and communicate with clarity and urgency when it matters.
What You'll Need
โ€ข 3-5+ years of experience in Data Analytics, Business Intelligence, Business Analytics, or a related quantitative field - with a track record of delivering analyses that influenced decisions. A bachelor's degree in a quantitative discipline is preferred; relevant experience counts.
โ€ข Strong SQL skills with hands-on experience querying large, complex datasets, plus fluency building dashboards and reports in modern BI tools (Power BI, Tableau, Looker, or similar). Proficiency in Python or R for analysis and automation is a plus.
โ€ข Strong instincts for prioritization - you know which questions matter, and you know how to explain why.
โ€ข The communication skills to work across levels: from a debugging session with a data engineer to a C-suite readout, you adjust your style and land your message.
โ€ข A bias for the truth - you ask hard questions of the data, validate your assumptions, and let what you find change your mind.
โ€ข Comfort navigating ambiguity, managing competing priorities, and keeping work focused when requirements shift.
โ€ข Proficiency with Microsoft Office tools (Word, Excel, Outlook, PowerPoint) and familiarity with modern analytics and data warehousing platforms (e.g., Snowflake, Databricks).
โ€ข Experience with data modeling, data quality, and data governance - you understand data and how it interacts with products and decisions.
โ€ข Experience in Commercial Real Estate (nice to have)