Data Analyst
Job in
Phoenix, Maricopa County, Arizona, 85001, USA
Listed on 2026-07-24
Listing for:
Ace Stack
Contract
position Listed on 2026-07-24
Job specializations:
-
IT/Tech
Data Analyst, Data Engineering, Data Science Manager, Data Warehousing
Job Description & How to Apply Below
Data Analyst
We are seeking a Data Analyst with 3–5 years of experience in data analysis, automation, and reporting. The ideal candidate will have strong analytical skills, hands-on experience with Python and/or Java scripting, expertise in SQL, and exposure to Call Center/Contact Center technologies. Experience with Google Cloud Platform (GCP) is highly preferred.
Key Responsibilities
- Analyze large datasets to identify trends, patterns, and business insights.
- Develop and maintain dashboards, reports, and data models.
- Develop automation scripts using Python and/or Java.
- Perform data integration, cleansing, validation, and ETL activities.
- Work with Contact Center Operations and Business teams to gather reporting requirements.
- Analyze Contact Center KPIs including AHT, SLA, CSAT, FCR, Occupancy, and Workforce metrics.
- Develop SQL queries and perform root cause analysis.
- Collaborate with cloud and engineering teams on analytics initiatives.
- Ensure data quality and governance standards.
- Work within Agile project environments.
Required Skills
- 3–5 years of experience as a Data Analyst.
- Strong hands-on experience with Python and/or Java scripting.
- Strong SQL and relational database experience.
- Experience with Power BI or Tableau.
- Knowledge of data warehousing and ETL processes.
- Hands-on experience with Call Center/Contact Center technologies such as:
Genesys, Five9, NICE, Avaya, Cisco, Amazon Connect. - Strong analytical, problem-solving, and communication skills.
- Experience working in Agile environments.
Preferred Skills
- Experience with Google Cloud Platform (GCP) (preferred), AWS, or Azure.
- Cloud-based analytics and data services.
- Knowledge of Contact Center operational KPIs and Workforce Management.
- Exposure to AI/ML-based analytics and reporting.
- Ability to engage and manage integration and implementation activities.
Qualifications
- Bachelor's degree in Computer Science, Information Systems, Engineering, Statistics, Mathematics, or a related field.
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