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Senior Data Analyst
Posted 13 days agoViewed
💎 Seniority level: Senior, 4-6 years
💸 Salary: 95000.0 - 115000.0 USD per year
🔍 Industry: EdTech
🏢 Company: SchoolStatus👥 251-500💰 Private over 3 years agoEducationUnified CommunicationsSoftware
🗣️ Languages: English
⏳ Experience: 4-6 years
Requirements:
- 4-6 years of progressive experience in data analysis, business intelligence, or related roles, with a strong track record of managing complex projects and initiatives.
- Bachelor’s degree in Statistics, Mathematics, Economics, Computer Science, or a related field; advanced degree preferred.
- Expert proficiency in SQL for data querying, manipulation, and optimization, with hands-on experience in data visualization tools such as Tableau, Looker, or similar platforms.
- Proven ability to make autonomous decisions and exercise judgment within your area of expertise, with a focus on driving business impact.
- Strong leadership skills with the ability to provide guidance, mentorship, and technical leadership to junior team members.
- Excellent communication and collaboration skills, with the ability to interact effectively with cross-functional teams and senior stakeholders.
- Demonstrated experience leading projects and initiatives, delivering actionable insights, and driving process improvements.
- Advanced problem-solving skills and critical thinking abilities, with a passion for translating data into strategic recommendations.
- Experience in process optimization, workflow development, and continuous improvement initiatives.
- Experience with AWS, Azure, Databricks, or other cloud reporting platforms
- Experience with data modeling for marketing and financial metrics (churn, down-sell, AAR, MQL/SQL, VOC, etc.)
- Experience generating financial reports (P&L, financial summary, attribution analysis, etc.)
- Experience with Sisense, Qlikview, or other BI tools
Responsibilities:
- Lead and execute a broader range of data analysis tasks and projects, including handling complex assignments that contribute to business growth and operational efficiency.
- Make informed decisions within established guidelines and policies, seeking input or guidance for major decisions or unfamiliar situations.
- Collaborate effectively with team members, providing support and guidance to less experienced colleagues, and leading small projects or initiatives within your area of expertise.
- Take ownership of assigned tasks and projects, ensuring the delivery of high-quality results that align with business objectives.
- Define, monitor, and optimize key metrics and KPIs across multiple departments to drive informed business decisions and performance improvements.
- Conduct advanced research and analysis on customer behavior, market trends, and operational data to uncover actionable insights and opportunities.
- Develop sophisticated analysis methodologies, data models, and predictive analytics to understand customer segmentation and market dynamics.
- Utilize advanced SQL querying techniques and data manipulation to extract insights from complex datasets and drive data-driven decision-making.
- Present findings, insights, and recommendations through compelling reports, visualizations, and presentations to stakeholders at all levels.
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