Data Analyst - Digital Commerce Job Description We are hiring a Digital Commerce Data Analyst to join a top retail company in Columbus, OH. This freelance position will run for 6 months with potential to extend and will be hybrid in office Tuesday – Thursday, Monday & Friday remote. - Pay Rate: $32/HR Responsibilities: - Own and maintain the full catalogue of digital product data and imagery, ensuring accuracy, completeness, and alignment with partner and business requirements - Serve as the subject matter expert, providing guidance, troubleshooting support, and clear communication to partners and internal teams - Partner with cross?functional teams to validate information, clarify data discrepancies, and maintain smooth workflows - Investigate and resolve issues through proactive problem?solving, testing, and refinement - Maintain high standards of data integrity by following and enhancing processes that ensure accuracy, consistency, and scalability - Extract, analyze, and organize data from multiple sources using advanced Excel skills Required Qualifications: - 2-3 years of experience in a similar position - Proficient in Microsoft Office (MS Word, Excel, PowerPoint, Outlook) - Well-organized and detail-oriented - Strong time?management and prioritization skills in a dynamic environment - Excellent oral and written communication skills - Able to take initiative and work effectively in a cross-functional team - Experience learning new technical applications - Experience with SharePoint or AEM a plus ·       Comfortable operating independently in a contract role with minimal onboarding 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. #LI-KS6

• Develop modern analytics platforms by working with clients • Design scalable data architectures and ensure sustainable data governance • Support clients in modernizing data warehouses and data lakehouses • Establish best practices for analytics engineering, data quality, automation, and DataOps • Analyze business requirements and translate them into scalable data models and analytics solutions • Bridge the gap between management, business units, and engineering teams • Lead interdisciplinary teams in successful implementation of complex data and analytics projects • Build long-term client relationships and identify new business opportunities • Coach consultants and engineers, fostering their professional development • Bring new market insights to the portfolio and actively shaping the Analytics Practice

• Operate as a full-stack data analyst within the Pro team • Own the design and evolution of dashboards, north star metrics and analytical frameworks that drive decisions at the highest level of the business • Build and maintain data infrastructure at scale, from scalable dbt models and production pipelines to full-funnel reporting that powers cross-functional teams • Lead experimentation across the Product domain by designing and owning A/B testing frameworks and applying causal inference techniques • Influence technical direction across the data team, contributing to how we build, what we prioritise and how we raise the bar on data quality and engineering standards • Embed AI tooling into your workflow in ways that have tangible business impact • Deliver insights through clear, data-driven storytelling to technical and non-technical audiences, including senior leadership

• Analyze large, complex datasets from client and internal Firm sources to identify trends, patterns, and actionable insights • Clean, transform, and structure data to ensure accuracy, consistency, and readiness for analysis • Apply statistical and data-modeling techniques to answer business questions and support decision-making • Leverage AI and generative-AI tools to accelerate analysis, automate routine tasks, and enhance data products • Translate stakeholder questions into clearly defined analytical problems, prioritizing work by impact and urgency • Design, build, and maintain Power BI dashboards that serve as the Firm’s primary, everyday reporting tools • Build automated, self-service reports and visualizations in Power BI and Tableau, tailored to different audiences across the Firm • Use data storytelling to deliver client-facing data presentations and executive-level reports that communicate findings clearly to key partners, clients, and other internal and external stakeholders, and drive action • Collaborate with the Data Science Information Design and Engineering function to deliver data visualization and information-rich analyses across various media types • Streamline and standardize reporting processes to ensure timely, accurate delivery of key metrics • Partner with the Data Engineering team to source, integrate, and validate data from across the Firm • Develop and apply data quality standards to ensure reliable, trustworthy outputs • Document data sources, definitions, and methodologies to support consistency and reuse • Maintain and enhance existing datasets, models, and reporting pipelines • Partner with teams across the Firm; including Finance and client-facing groups to gather requirements and align on objectives • Work directly with internal stakeholders and, where appropriate, clients to understand needs and deliver solutions • Connect analytical findings to business outcomes and Firm priorities • Share knowledge and best practices to elevate data and analytics capabilities across the Firm • Identify opportunities to automate, improve, and scale analytics as the function grows • Contribute to building out the Firm’s enterprise data and analytics capabilities over time • Develop and improve reporting and business intelligence techniques to align the firm with leading-edge information and business intelligence delivery • Engage in research and study to continuously improve the Firm’s reporting and business intelligence.