Data Analyst

We are seeking a Data Analyst to support complex business reporting, ad hoc analysis, and dashboard development initiatives. This role requires strong analytical skills with expertise in SQL, Python, and Tableau to transform data into meaningful business insights. The ideal candidate will work closely with stakeholders to create new dashboards, maintain existing reporting solutions, and perform both recurring and ad hoc analysis to support strategic business decisions. • Location: Austin, TX (Hybrid) • Contract Duration: 12+ Months • Rate Range: $40–50/hr on W2 Responsibilities: • Perform complex ad hoc and recurring data analysis to support business and management requests. • Design, develop, and maintain interactive dashboards using Tableau (preferred) or similar BI tools. • Write complex SQL queries to extract, transform, and analyze data from multiple sources. • Develop Python-based analytical solutions for data processing and automation. • Evaluate data quality and identify opportunities to improve reporting accuracy and consistency. • Create methodologies for collecting, analyzing, and presenting business data. • Produce reports and presentations that communicate actionable insights to business stakeholders. • Research new data sources and analytical techniques to enhance reporting capabilities. • Collaborate with cross-functional teams to understand reporting requirements and deliver timely solutions. • Identify process improvement opportunities and contribute to data-driven decision-making. Required Qualifications: • 3+ years of experience in Data Analytics, Business Intelligence, or a related field. • Strong experience performing both ad hoc (70%) and recurring (30%) data analysis. • Hands-on expertise in SQL for complex data extraction and analysis. • Proficiency in Python for data analysis and automation. • Experience developing and maintaining dashboards using Tableau (preferred) or similar visualization tools. • Strong analytical, problem-solving, and communication skills. • Ability to interpret business requirements and translate them into meaningful data solutions. • Experience working with large datasets and ensuring data quality. Required Skills: • SQL • Python • Tableau (Preferred) • Dashboard Development & Maintenance • Ad Hoc & Recurring Data Analysis • Data Visualization • Reporting & Analytics • Data Quality Assessment • Business Intelligence • Data Interpretation Technical Skills: • SQL • Python • Tableau • Excel • Data Analysis • Reporting & Dashboarding • Data Visualization • ETL/Data Processing Concepts Preferred Qualifications: • Experience with enterprise BI environments. • Exposure to statistical analysis or predictive analytics. • Experience supporting product, operations, or customer analytics. • Knowledge of modern data platforms and cloud-based analytics tools is a plus. Additional Information • Hybrid role based in Austin, TX. • Focus will be approximately 70% ad hoc analysis and 30% recurring reporting. • Strong communication skills are essential for presenting findings to technical and business stakeholders. If you meet the required qualifications and are interested in this role, please apply today. The Solomon Page Distinction Solomon Page offers a comprehensive benefit program for hourly employees. We pride ourselves on offering medical, dental, 401(k), direct deposit and commuter benefits to our employees, including freelancers - which sets us apart in the industries we serve. About Solomon Page Founded in 1990, Solomon Page is a specialty niche provider of staffing and executive search solutions across a wide array of functions and industries. The success of Solomon Page reflects an organic growth strategy supported by a highly entrepreneurial culture. Acting as a strategic partner to our clients and candidates, we focus on providing customized solutions and building long-term relationships based on trust, respect, and the consistent delivery of excellent results. For more information and additional opportunities, visit: solomonpage.com and connect with us on Facebook, and LinkedIn. Opportunity Awaits.