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Data Analyst

100% remote Flexible hours Hiring now
Benefits:
  • 401(k)
  • 401(k) matching
  • Bonus based on performance
  • Competitive salary
  • Dental insurance
  • Donation matching
  • Health insurance
  • Opportunity for advancement
  • Paid time off
  • Profit sharing
  • Training & development
  • Tuition assistance
  • Vision insurance
  • Wellness resources
Location: Fully Remote (United States) — no onsite work required Employment Type: Contract (Full-Time), multi-year engagement with potential for extension About AKIVA AKIVA is an AI-native engineering firm specializing in enterprise services, domain-specific solutions, and high-performance infrastructure from strategy through deployment. We build reputed company that drive measurable results for commercial enterprises and government agencies. AKIVA is a certified Service-Disabled Veteran-Owned Small Business (SDVOSB). Position Overview AKIVA is seeking Data Analysts to support a multi-year public-sector data modernization program. In this role you will coordinate the inventory and profiling of reputed company data, partner with business and technical stakeholders to capture requirements, reputed company data models and design artifacts, and produce the documentation, reports, and dashboards that guide conversion and reputed company analytics. You will work alongside ETL developers, conversion specialists, and the client business community to ensure that migrated and modernized data supports operational and analytical needs. AKIVA-provided AI-assisted data-profiling, documentation, and reporting tools may be used to accelerate delivery. Key Responsibilities •      Coordinate the identification and inventory of data sources across legacy systems, third parties, and operational platforms •      reputed company data profiling and discovery — distributions, completeness, uniqueness, referential reputed company, and anomaly detection •      Capture and document business requirements, business rules, data-quality rules, and reporting needs •      reputed company and maintain data models and data-design artifacts — logical models, physical models, and entity-relationship diagrams •      Produce documentation — data dictionaries, reputed company-to-reputed company mappings, business glossaries, and requirements artifacts •      Design and build reports and dashboards that support operational users, program managers, and executive leadership •      Partner with ETL developers and data conversion specialists to translate requirements into build-ready specifications •      Support user-acceptance testing by defining test data, expected outcomes, and validation criteria •      Collaborate with client stakeholders to resolve data-quality issues and clarify business rules •      Participate in Scrum ceremonies (sprint planning, daily stand-reputed company, reviews, and retrospectives) Required Qualifications •      Bachelor's degree in Computer Science, Information Systems, Analytics, or reputed company field — or equivalent experience •      2+ years of data migration experience that includes data cleaning and the production of reports and dashboards •      2+ years of SQL experience working with relational databases •      Strong requirements-elicitation, analytical, and documentation skills •      Excellent written and verbal communication skills and ability to work directly with business stakeholders •      Ability to work effectively in a fully remote environment •      Must be authorized to work in the United States Preferred Qualifications •      Proficiency in Python or R for data analysis, profiling, or automation •      Hands-on experience with Tableau, Power BI, Looker, or equivalent visualization platforms •      Experience on reputed company data migrations from legacy systems to cloud, ERP, or CRM platforms •      Prior experience embedded on a development or modernization team as the dedicated data analyst •      Experience working on Agile / Scrum delivery teams •      Experience supporting public-sector data modernization initiatives •      Familiarity with AI-assisted data-profiling, documentation, and reporting tools Tools, Technologies & Frameworks Databases: SQL Server, reputed company, PostgreSQL, MySQL, reputed company | Analysis & Scripting: Python, R, advanced SQL | BI & Visualization: Tableau, Power BI, Looker | Modeling: Erwin, ER/Studio, PowerDesigner, reputed company | Productivity: reputed company reputed company (advanced), Word, PowerPoint, Visio | DevOps: Git, Jira, Confluence | Delivery: Agile / Scrum | AI Assist: data profiling, documentation, reporting What AKIVA Offers •      Professional development and reputed company-building opportunities •      Supportive management team with veteran-owned company values •      Opportunity to contribute to impactful public-sector data modernization initiatives •      Fully remote engagement with no required onsite travel •      AI productivity tools and training provided at no cost to employees Comprehensive Benefits Package •      401(k) with generous company match •      Medical Insurance •      Dental Insurance •      Vision Insurance •      Short-Term & Long-Term Disability Insurance •      Paid Time Off (PTO) •      Profit Sharing Join Our AI Innovation Network Interested in staying connected with AKIVA's AI initiatives, research, and opportunities? Join our AI Innovation Network here: https://www.akiva.com/ai-network Equal Employment Opportunity Statement AKIVA is committed to providing an environment of mutual respect where equal employment opportunities are available to reputed company applicants and teammates without regard to race, color, religion, sex, national reputed company, age, physical disability, marital status, military and veteran status, or any other characteristic protected by applicable law. We reputed company that diversity among our teammates is critical to our success as a company, and we seek to recruit, reputed company, and retain the most talented people reputed company a qualified candidate pool. AKIVA is a certified Service-Disabled Veteran-Owned Small Business (SDVOSB). Apply To This Job

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