Sr. Data Analyst

We are seeking a data-driven professional who thrives on transforming complex datasets into meaningful business insights. This role will partner with stakeholders across multiple functions to identify opportunities, improve decision-making, and support strategic initiatives through analytics, reporting, and predictive modeling.

The ideal candidate combines strong technical expertise with business acumen and enjoys solving challenging problems in a collaborative environment.

• Analyze large, complex datasets to uncover trends, patterns, and opportunities for business improvement.
• Develop actionable recommendations that support operational and strategic decision-making.
• Conduct exploratory data analysis and present findings to stakeholders across the organization.
• Build and maintain dashboards, scorecards, and reporting solutions that provide visibility into key performance indicators.
• Create compelling visualizations and presentations that communicate insights to both technical and non-technical audiences.
• Automate recurring reporting processes to improve efficiency and accuracy.

• Develop, test, and maintain statistical and predictive models to support forecasting and business planning initiatives.
• Evaluate model performance and implement improvements based on changing business needs and data availability.
• Apply experimentation methodologies and analytical frameworks to measure outcomes and inform decision-making.

• Collaborate with leaders, product teams, engineering teams, and operational stakeholders to define business questions and analytical approaches.
• Translate business objectives into measurable metrics and data solutions.
• Support strategic initiatives through data-backed recommendations.

• Identify opportunities to improve data accuracy, accessibility, and governance practices.
• Partner with technical teams to enhance data pipelines, reporting infrastructure, and analytical workflows.
• Promote best practices related to data management and responsible data usage.

Required

• Bachelor's degree in Data Science, Statistics, Mathematics, Economics, Computer Science, or a related quantitative field.
• 3–5 years of experience in analytics, business intelligence, data science, or a related field.
• Advanced SQL skills and experience working with large relational databases.
• Experience using business intelligence and visualization platforms such as Tableau, Power BI, Looker, or similar tools.
• Strong analytical and problem-solving abilities with a demonstrated track record of delivering business impact.

Preferred

• Experience using Python, R, or similar analytical programming languages.
• Knowledge of statistical modeling, forecasting, experimentation, and causal analysis techniques.
• Experience working with data warehousing and cloud-based analytics environments.

• Strong communication skills with the ability to explain technical concepts to diverse audiences.
• Ability to manage multiple priorities and projects in a fast-paced environment.
• Curiosity, initiative, and a passion for using data to solve business challenges.
• Strong attention to detail and commitment to data accuracy.
• Collaborative mindset and ability to influence decision-making through insights and analysis.

We offer competitive compensation, comprehensive benefits, and opportunities for professional growth for qualified candidates.