Sr. Data Analyst in United States at Jobgether

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Sr. Data Analyst in the United States.

This is an exciting opportunity for a highly analytical and solution-oriented professional to join a fast-growing organization focused on delivering exceptional customer experiences through data-driven decision-making. In this hands-on individual contributor role, you will work across complex datasets, business functions, and modern analytics tools to transform raw information into actionable insights and scalable reporting solutions. You will collaborate closely with stakeholders across operations, finance, sales, product, and leadership teams to solve business challenges and improve organizational performance. The role offers the chance to work with cutting-edge technologies including BigQuery, dbt, BI platforms, and AI-powered workflow tools in a highly collaborative environment. Ideal for someone who thrives in ambiguity and enjoys building trusted data assets, this position combines technical expertise with strategic business impact. You will play a key role in improving reporting consistency, strengthening data governance, and enabling smarter operational and business decisions.

• Lead cross-functional analytics initiatives by partnering with stakeholders to understand business challenges, define data requirements, and deliver scalable analytical solutions.
• Design, build, test, document, and maintain reliable dbt models and analytics-ready datasets that support reporting and operational decision-making.
• Utilize advanced SQL within BigQuery to investigate business questions, optimize queries, validate data accuracy, and support production-level reporting environments.
• Develop and maintain dashboards, reports, semantic layers, and self-service analytics solutions using BI platforms such as Omni, Power BI, or similar tools.
• Improve metric consistency by defining business KPIs, documenting assumptions, reconciling discrepancies, and supporting data governance practices.
• Monitor data quality and troubleshoot issues across ETL/ELT pipelines, source systems, reporting assets, and downstream data models.
• Translate ambiguous business needs into actionable analytical deliverables through effective stakeholder communication and requirements gathering.
• Deliver meaningful insights that improve operational efficiency, sales performance, customer experience, and financial visibility.
• Leverage AI tools responsibly to accelerate SQL development, documentation, QA processes, workflow automation, and analytical tasks while maintaining data integrity.
• Contribute to continuous improvement initiatives related to documentation standards, BI usability, QA processes, metric governance, and overall data ecosystem scalability.

Requirements:

• Approximately 3–5 years of experience in data analytics, business intelligence, analytics engineering, operations analytics, or related fields.
• Strong SQL expertise, including experience with complex joins, CTEs, window functions, subqueries, performance optimization, and validation logic.
• Experience building dashboards, reporting solutions, and self-service analytics tools for business stakeholders.
• Strong understanding of data modeling concepts such as fact tables, dimensions, metric definitions, and transformation logic.
• Ability to independently manage projects while maintaining strong stakeholder communication and alignment.
• Excellent analytical thinking, problem-solving, and communication skills with the ability to explain technical concepts to non-technical audiences.
• Experience working in fast-paced, high-growth environments with multiple competing priorities.
• Hands-on experience with BigQuery, dbt, Fivetran, Power BI, Looker, Tableau, Omni, or similar analytics and BI tools is highly preferred.
• Familiarity with insurance, healthcare, benefits, claims, billing, CRM, or regulated data environments is considered an advantage.
• Experience using AI tools such as Claude or ChatGPT to support SQL development, documentation, QA, or workflow automation is a plus.
• Python or scripting experience for automation and data validation is beneficial but not required.

Benefits:

• Company-paid health, dental, life, and disability insurance coverage.
• 401(k) retirement plan with employer matching contributions.
• Flexible remote, hybrid, or office-based work arrangements depending on location and preference.
• Work-from-home allowance and remote work support.
• Professional development and career growth opportunities.
• Collaborative, positive, and people-focused work environment.
• Opportunity to work with modern cloud analytics technologies and AI-enhanced workflows.
• Exposure to high-impact projects that directly influence operational and strategic business decisions.
• Inclusive and supportive organizational culture focused on teamwork, growth, and innovation.