Data Analyst – Power BI & DAX

Job Title: Senior Data Analyst – Power BI & DAX (Marketing) Location: Spring, TX Duration: Contract – 6 months Pay Range: $35 - $37.35/hr on W2 Job Description We are seeking a Senior Data Analyst with strong expertise in Power BI, DAX, and SQL to design and deliver unified, scalable dashboards that enable a single source of truth, reduce manual reporting, and support business performance tracking and decision-making. Responsibilities: • Design, build, and consolidate Power BI dashboards by integrating data across multiple projects into a unified reporting layer. • Develop advanced DAX measures, including YoY, MoM, YTD, growth rates, and other time intelligence calculations. • Perform end-to-end data modeling, transformation, and source consolidation, replacing manual workflows with scalable datasets. • Define, standardize, and maintain KPIs and performance metrics for consistent business reviews. • Conduct data analysis, identify trends, and perform diagnostics to generate actionable insights. • Leverage historical data for trend analysis and support predictive modeling where applicable. • Optimize dashboards for performance, refresh efficiency, and maintainability. • Partner with business stakeholders to translate requirements into analytical solutions and insights. • Present findings through dashboards, reports, and stakeholder discussions to support data-driven decisions. • Continuously improve reporting frameworks through feedback loops and evolving needs. Required Skills & Qualifications: • 3–5 years of experience in Data Analytics, Business Intelligence, or a related role. • Strong expertise in Power BI, including data modeling, dashboard design, and complex DAX development. • Proficiency in SQL and experience with structured or curated datasets. Experience with Databricks or similar environments is a plus. • Proven experience building dashboards for ongoing business reviews and performance tracking. • Strong analytical and problem-solving skills for complex datasets. • Experience in data transformation, data mapping, and BI tool-based reporting. • Ability to manage multiple projects and deliver independently in a fast-paced environment. • Strong communication skills with the ability to translate data into business insights. Preferred Skills: • Experience with statistical analysis, forecasting, or predictive modeling. • Familiarity with data warehousing and data engineering concepts. • Strong Excel and financial modeling skills.