Job Description Are you a curious and driven Data Analyst with 2-5 years of experience, eager to transform raw data into actionable insights? We're looking for someone passionate about uncovering trends, identifying opportunities, and crafting compelling narratives from complex datasets. This will be a 12month remote contract with opportunity for full time conversion. In this role, you'll be instrumental in synthesizing diverse data sources to drive value creation and provide crucial insights that inform our business strategies. If you thrive on turning numbers into clear, impactful stories and love building intuitive dashboards, we'd love to hear from you! Key Responsibilities: As a Data Analyst, you will: • Synthesize and Analyze Data: Dive deep into various datasets (e.g., sales, marketing, market research, etc.) to identify patterns, trends, and anomalies that drive business value and market understanding. • Generate Market Insights: Translate complex data into clear, concise, and actionable insights that support strategic decision-making across different departments. • Develop Interactive Dashboards: Design, build, and maintain engaging and user-friendly dashboards using tools like Tableau or PowerBI, enabling stakeholders to monitor key performance indicators (KPIs) and track progress effortlessly. • Create Compelling Reports: Prepare and present regular and ad-hoc reports, clearly communicating findings, recommendations, and the impact of data-driven insights to both technical and non-technical audiences. • Collaborate with Stakeholders: Work closely with business leaders, product managers, marketing teams, and other stakeholders to understand their data needs, define requirements, and deliver tailored analytical solutions. • Ensure Data Quality: Contribute to maintaining data integrity and accuracy, identifying data quality issues, and collaborating with data engineering teams to resolve them. • Drive Continuous Improvement: Proactively identify opportunities for process improvements, data collection enhancements, and new analytical approaches to maximize business impact. We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/. Skills and Requirements Experience: 2-5 years of proven experience as a Data Analyst or in a similar analytical role, with a strong track record of driving value through data. • Technical Proficiency: o SQL: Expert-level proficiency in SQL for data extraction, manipulation, and analysis from various databases. o Data Warehousing: Experience working with cloud-based data warehouses, particularly Snowflake. o Visualization Tools: Hands-on experience creating impactful dashboards and reports using either Tableau or PowerBI o Analytical Mindset: Exceptional analytical and problem-solving skills, with the ability to break down complex problems and develop data-driven solutions. • Communication Skills: Excellent verbal and written communication skills, with the ability to present complex information clearly and persuasively to diverse audiences. • Attention to Detail: Meticulous attention to detail and a commitment to data accuracy and integrity. • Education: Bachelor's degree in a quantitative field such as Computer Science, Statistics, Mathematics, Economics, Business Analytics, or a related discipline.