{"schemaVersion":"jobsearcher.job.v1","id":"909650ca81627224e7cf64ee","url":"https://jobsearcher.com/jobs/909650ca81627224e7cf64ee","canonicalUrl":"https://jobsearcher.com/jobs/909650ca81627224e7cf64ee","title":"Database Analyst","description":"Position Overview\n\nWe are seeking an experienced *Database Analyst / DBA* to provide analytical and operational support for data-related projects. The ideal candidate will have experience with *database administration, database analysis, data management, data quality, system improvement initiatives, and project coordination*.\n\nThis role will work with data from multiple databases, spreadsheets, case management systems, and other sources to identify missing or inconsistent information, validate records, improve data quality, and support department-wide data initiatives.\n\nThe successful candidate should be analytical, detail-oriented, comfortable working with large datasets, and able to communicate effectively with both technical and non-technical stakeholders.\n\nKey Responsibilities\n\n* Analyze, review, and validate data across databases, spreadsheets, case management systems, reports, and other sources.\n* Identify and investigate *data discrepancies, missing information, anomalies, and quality issues*.\n* Analyze large datasets using *Microsoft Excel* and other data-analysis tools.\n* Organize, filter, reconcile, summarize, and present data for operational and management needs.\n* Maintain spreadsheets, reports, tracking tools, queries, and other data-quality monitoring resources.\n* Update and maintain information in databases and case management systems using verified information and established procedures.\n* Support data-related projects by gathering requirements, understanding business needs, and determining appropriate analytical approaches.\n* Perform quality assurance reviews and identify opportunities to improve *data integrity, processes, documentation, and reporting*.\n* Document analytical methods, findings, discrepancies, limitations, and completed work.\n* Identify recurring data issues and recommend or implement appropriate solutions.\n* Communicate findings and data concerns clearly to supervisors, subject-matter experts, and departmental staff.\n* Work collaboratively with internal teams while maintaining confidentiality and following applicable data-security policies.\n\nRequired Skills\n\n* Strong *analytical and problem-solving* abilities.\n* Experience investigating and resolving data-quality issues rather than simply identifying them.\n* Intermediate to advanced *Microsoft Excel*, including:\n* Formulas\n* VLOOKUP/XLOOKUP and other lookups\n* Sorting and filtering\n* PivotTables\n* Large dataset analysis\n* Strong attention to detail with the ability to identify:\n* Inconsistencies\n* Patterns\n* Outliers\n* Missing information\n* Data-quality issues\n* Ability to understand relationships between information across multiple systems and data sources.\n* Ability to quickly learn unfamiliar databases, case management systems, business processes, and data structures.\n* Strong organizational and time-management skills with the ability to manage multiple assignments independently.\n* Excellent written and verbal communication skills.\n* Ability to explain data findings clearly to both technical and non-technical audiences.\n\nPreferred Experience\n\n* Database Administration\n* Database Analysis\n* Data Management\n* Data Quality / Data Validation\n* System Improvement Projects\n* Project Management\n* Reporting and Data Analysis\n* Case Management Systems\n* Advanced Microsoft Excel\n\nExperience & Education\n\n* *Required Experience:* 3–5 years\n* *Education:* Bachelor’s degree preferred\n\nAdditional Requirements\n\n* *Candidates must be local to Arizona.*\n* Candidate must provide and use *their own equipment*.\n* This is an *onsite position in Phoenix, AZ*.\n* Assignment is scheduled to end *November 30, 2026*.\n\n#IT03\n\nPay: $28.82 per hour\n\nExpected hours: 40.0 per week\n\nBenefits:\n* Dental insurance\n* Health insurance\n* Vision insurance\n\nWork Location: In person","company":"Arete Technologies","rawCompany":"arete technologies","city":"Phoenix","state":"AZ","isRemote":false,"isActive":false,"createdAt":"2026-08-29T11:18:14.799Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-2051.01","title":"Business Intelligence Analysts","slug":"business-intelligence-analysts"},{"code":"15-1242.00","title":"Database Administrators","slug":"database-administrators"}],"industries":[{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"518210","title":"Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services","slug":"computing-infrastructure-providers-data-processing-web-hosting-and-related-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Database Analyst","description":"Position Overview\n\nWe are seeking an experienced *Database Analyst / DBA* to provide analytical and operational support for data-related projects. The ideal candidate will have experience with *database administration, database analysis, data management, data quality, system improvement initiatives, and project coordination*.\n\nThis role will work with data from multiple databases, spreadsheets, case management systems, and other sources to identify missing or inconsistent information, validate records, improve data quality, and support department-wide data initiatives.\n\nThe successful candidate should be analytical, detail-oriented, comfortable working with large datasets, and able to communicate effectively with both technical and non-technical stakeholders.\n\nKey Responsibilities\n\n* Analyze, review, and validate data across databases, spreadsheets, case management systems, reports, and other sources.\n* Identify and investigate *data discrepancies, missing information, anomalies, and quality issues*.\n* Analyze large datasets using *Microsoft Excel* and other data-analysis tools.\n* Organize, filter, reconcile, summarize, and present data for operational and management needs.\n* Maintain spreadsheets, reports, tracking tools, queries, and other data-quality monitoring resources.\n* Update and maintain information in databases and case management systems using verified information and established procedures.\n* Support data-related projects by gathering requirements, understanding business needs, and determining appropriate analytical approaches.\n* Perform quality assurance reviews and identify opportunities to improve *data integrity, processes, documentation, and reporting*.\n* Document analytical methods, findings, discrepancies, limitations, and completed work.\n* Identify recurring data issues and recommend or implement appropriate solutions.\n* Communicate findings and data concerns clearly to supervisors, subject-matter experts, and departmental staff.\n* Work collaboratively with internal teams while maintaining confidentiality and following applicable data-security policies.\n\nRequired Skills\n\n* Strong *analytical and problem-solving* abilities.\n* Experience investigating and resolving data-quality issues rather than simply identifying them.\n* Intermediate to advanced *Microsoft Excel*, including:\n* Formulas\n* VLOOKUP/XLOOKUP and other lookups\n* Sorting and filtering\n* PivotTables\n* Large dataset analysis\n* Strong attention to detail with the ability to identify:\n* Inconsistencies\n* Patterns\n* Outliers\n* Missing information\n* Data-quality issues\n* Ability to understand relationships between information across multiple systems and data sources.\n* Ability to quickly learn unfamiliar databases, case management systems, business processes, and data structures.\n* Strong organizational and time-management skills with the ability to manage multiple assignments independently.\n* Excellent written and verbal communication skills.\n* Ability to explain data findings clearly to both technical and non-technical audiences.\n\nPreferred Experience\n\n* Database Administration\n* Database Analysis\n* Data Management\n* Data Quality / Data Validation\n* System Improvement Projects\n* Project Management\n* Reporting and Data Analysis\n* Case Management Systems\n* Advanced Microsoft Excel\n\nExperience & Education\n\n* *Required Experience:* 3–5 years\n* *Education:* Bachelor’s degree preferred\n\nAdditional Requirements\n\n* *Candidates must be local to Arizona.*\n* Candidate must provide and use *their own equipment*.\n* This is an *onsite position in Phoenix, AZ*.\n* Assignment is scheduled to end *November 30, 2026*.\n\n#IT03\n\nPay: $28.82 per hour\n\nExpected hours: 40.0 per week\n\nBenefits:\n* Dental insurance\n* Health insurance\n* Vision insurance\n\nWork Location: In person","datePosted":"2026-08-29T11:18:14.799Z","dateModified":"2026-08-29T11:18:14.799Z","hiringOrganization":{"@type":"Organization","name":"Arete Technologies","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Phoenix","addressRegion":"AZ","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"909650ca81627224e7cf64ee"},"url":"https://jobsearcher.com/jobs/909650ca81627224e7cf64ee"}}