Data Solutions Analyst – Enterprise Data

🔥 1 hour ago

🇺🇸 United States – Remote

💵 $65 - $70 / hour

⏳ Contract/Temporary

🟢 Junior

🧐 Business Analyst

👻 Ghost score 22%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.Why this score:

• Just posted.
• Jobs at this company usually fill in 37 days.
• 45 open roles for a team of 21.

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aKUBE

WebsiteLinkedInAll Job Openings

51 - 200 employees

💼 Consulting

📦 Logistics

📣 Marketing

Consulting • Logistics • Marketing

aKUBE is a recruitment firm that specializes in connecting top-tier IT professionals with innovative companies. They emphasize a quality-focused approach to recruiting, ensuring a perfect match between candidates and company values. By leveraging advanced technology and a refined process, aKUBE streamlines staffing solutions that align with client timelines while offering services like contract staffing, direct hire placements, and payroll management. Their commitment to performance and client partnerships positions aKUBE as a trusted partner in achieving business success through tailored staffing solutions.

📋 Description

• Develop and maintain Power BI reports and dashboards using approved enterprise datasets and semantic models • Write SQL queries to analyze data, investigate discrepancies, validate results, and support business reporting • Gather and document business requirements, KPI definitions, reporting needs, and acceptance criteria • Create Power BI measures, visualizations, filters, and drill-through functionality • Validate reporting results against certified KPIs, source data, and business requirements • Perform data profiling, reconciliation, root-cause analysis, regression testing, and UAT support • Prepare test cases, source-to-target mappings, reconciliation evidence, and technical documentation • Identify and document data-quality issues, including duplicate records, missing identifiers, inconsistent values, and hierarchy problems • Support master data management initiatives, including data matching, standardization, and validation • Work with Data Engineering and Business Intelligence teams to validate enterprise data solutions • Support self-service reporting by helping business users understand approved datasets and reporting standards • Assist in testing AI-generated analytical responses against validated business metrics and reports • Maintain documentation and support continuous improvement of data validation and reporting processes

🎯 Requirements

• Strong SQL skills, including joins, aggregations, filtering, data validation, and troubleshooting • Hands-on experience developing Power BI reports and dashboards • Experience with data profiling, reconciliation, QA, and report validation • Familiarity with Power BI semantic models, DAX, dimensional modeling, facts, dimensions, and relationships • Experience documenting business requirements, reporting logic, and data validation results • Bachelor's degree in Computer Science, Information Systems, Analytics, Mathematics, Finance, Business, or a related field, or equivalent practical experience • 1 to 3 years of experience in data analysis, business intelligence, reporting, or analytics; relevant internship or project experience may be considered • Working knowledge of SQL for data analysis and troubleshooting • Experience creating Power BI dashboards, reports, measures, filters, and drill-through functionality • Understanding of data modeling, semantic models, and DAX concepts • Experience validating business reports, reconciling data, and documenting test results • Ability to translate business reporting requirements into technical specifications • Experience working with business stakeholders, analysts, BI developers, and data engineers • Exposure to Azure Data Lake, Azure Data Factory, Databricks, or Microsoft Fabric • Experience working with Gold Layer datasets and governed enterprise data products • Understanding of data governance, data quality, and master data management (MDM) • Familiarity with certified KPIs, enterprise semantic models, and dimensional data structures • Exposure to Databricks Genie, AI copilots, or AI-assisted analytics • Experience supporting enterprise data certification and self-service BI reporting • Must be authorized to work in the United States as a GC or USC

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