Data Analyst – Power BI & DAX
Description
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. Show more Show less