Senior Data Analyst: Insights, Dashboards & Strategy

att; Dallas (TX); On-site; USD 119,000 - 178,000; Full time

Benefits offered by this job

Medical/Dental/Vision coverage

401(k) plan

Tuition reimbursement program

Paid Time Off and Holidays

Paid Parental Leave

Paid Caregiver Leave

Disability Benefits

Job summary

AT&T in Dallas, Texas seeks a Senior Data Analyst to research, collect, process, and organize data across multiple applications, maintain interfaces, implement data rules, and respond to business requests with actionable insights that inform strategic decisions.

You will perform data collection and processing, analysis and interpretation, create clear reports and visualizations, resolve discrepancies, and uphold data quality using SQL, Power BI and Python.

Qualifications

• Bachelor’s degree (BS/BA) in Computer Science is preferred.
• 3+ years of related experience.
• Certification is required in some areas.

Responsibilities

• Data Collection and Processing: Gather, preprocess, and cleanse data from various sources.
• Data Analysis and Interpretation: Analyze data to identify trends and generate recommendations.
• Reporting and Visualization: Create clear visualizations and reports for stakeholders.
• Discrepancy Resolution and Quality Assurance: Identify and resolve data discrepancies across platforms.
• Analytical Tools: Includes SQL, Power BI, Python, etc.

Skills

Data collection

Data processing

Data analysis

Reporting & visualization

Data quality

SQL

Power BI

Python

Education

Bachelor's degree in Computer Science

Tools

SQL

Power BI

Python

Job description

AT&T in Dallas, Texas seeks a Senior Data Analyst to research, collect, process, and organize data across multiple applications, maintain interfaces, implement data rules, and respond to business requests with actionable insights that inform strategic decisions.

You will perform data collection and processing, analysis and interpretation, create clear reports and visualizations, resolve discrepancies, and uphold data quality using SQL, Power BI and Python.