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Data Analyst II

Job in West Des Moines, Polk County, Iowa, 50265, USA
Listing for: Socket.dev
Full Time position
Listed on 2026-09-24
Job specializations:
  • IT/Tech
    Data Analyst, Data Engineering, Data Warehousing
Salary/Wage Range or Industry Benchmark: 70000 - 100000 USD Yearly USD 70000.00 100000.00 YEAR
Job Description & How to Apply Below

ESSENTIAL DUTIES AND RESPONSIBILITIES:

  • Collect, clean, integrate, and analyze structured and unstructured data from multiple business systems using SQL, Python, Power Query, or other approved tools.
  • Create and publish dashboards, reports, scorecards, semantic models, and presentations using Power BI, Excel, and other approved visualization tools.
  • Apply AI-assisted analytics tools, including Copilot features and approved generative AI capabilities, to accelerate data exploration, documentation, insight generation, and report development.
  • Identify trends, patterns, anomalies, and business drivers, then translate findings into clear recommendations for technical and nontechnical audiences.
  • Partner with business users to understand objectives, define data requirements, document business rules, and translate needs into technical specifications and analytical solutions.
  • Develop and maintain reusable data pipelines, dimensional models, semantic models, calculations, and data quality controls.
  • Validate data accuracy, test solutions, troubleshoot issues, reconcile results, and document assumptions, lineage, definitions, and limitations.
  • Explore practical AI and machine learning use cases, assist with prototypes, and evaluate results against business value, data quality, security, privacy, and responsible AI expectations.
  • Support data migrations, system interfaces, and modernization initiatives involving on-premises and cloud data platforms.
  • Review current processes and recommend opportunities for automation, standardization, self-service analytics, and improved user experience.
  • Stay current on analytics, Microsoft Fabric, Power BI, AI, data governance, and visualization best practices.
  • Other duties and responsibilities as assigned and required.
EDUCATION, TRAINING, AND

EXPERIENCE:
  • Bachelor's degree from a four-year university in data analytics, computer science, information systems, statistics, business, or a related field desired.
  • Two or more years of related experience in data analysis, analytics, business intelligence, reporting, or data administration desired.
  • Hands-on experience with data visualization, data modeling, data preparation, and data quality practices.
  • Exposure to cloud analytics platforms, Microsoft Fabric, Azure data services, AI-assisted analytics, or machine learning concepts desired.
REQUIRED SKILLS:
  • Strong analytical problem-solving skills with the ability to connect data findings to business outcomes.
  • Ability to work independently under general supervision while collaborating effectively with business and technical stakeholders.
  • Ability to plan and prioritize work, manage multiple assignments, and meet deadlines in a changing environment.
  • Strong written, verbal, presentation, and data storytelling skills.
  • Ability to translate complex technical concepts into clear business language.
  • Attention to detail and commitment to data accuracy, documentation, reproducibility, and continuous improvement.
  • Ability to adhere to confidentiality, information security, privacy, data governance, and responsible AI standards.
  • Curiosity and willingness to learn emerging data and AI technologies.
TOOLS, EQUIPMENT, AND SOFTWARE:
  • Required:

    SQL, Microsoft SQL Server, Power BI, DAX, Power Query, and Excel.
  • Desired:
    Microsoft Fabric, including One Lake, Lakehouse, Warehouse, Data Factory, Dataflow Gen2, notebooks, semantic models, and Direct Lake.
  • Desired:
    Python or R for data analysis, automation, statistical analysis, or machine learning.
  • Desired: ETL or ELT development, source control, deployment pipelines, data cataloging, and data lineage practices.
  • Desired:
    Experience using Copilot or other approved AI tools for analytics, while validating outputs and protecting confidential data.
  • Desired:
    Use Microsoft Fabric capabilities such as One Lake, Lakehouse, Warehouse, Data Factory, notebooks, data pipelines, Dataflow Gen2, and Direct Lake where appropriate
WORKING CONDITIONS AND

PHYSICAL REQUIREMENTS:
  • Primarily indoor work in an office environment requiring long periods of sitting
  • Frequent utilization of manual dexterity and visualizing of a computer screen
  • No unusual physical requirements
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