Senior Analyst

Roles and Responsibilities

• Analyze and develop reports and models for performance tracking and optimization, drawing recommendations from your analysis.
• Build, enhance, and streamline reports and dashboards to help team members and internal stakeholders understand business performance and identify action points.
• Perform ad-hoc analysis on business trends and results independently, translating and communicating results to leadership and key stakeholders.
• Provide input on ongoing projects and initiatives to reach business targets; run and assess your proposed actions in collaboration with relevant teams.
• Make recommendations for new metrics, techniques, and strategies to improve team performance and measurement in the future.
• Analyze the impact of business initiatives, using data to make recommendations and propose changes.
• Hone your analytical skills to better understand business and conversion drivers and how to optimize them.
• Prepare and present high-quality weekly reports and business insights to leadership.
• Work in a data-driven environment.
• Use out-of-the-box thinking to develop and implement solutions to unique challenges.
• Thrive cross-functionally in a dynamic, fast-paced, and challenging environment.

Requirements:

• Bachelor's degree in computer science, Statistics, Economics, Mathematics, Engineering, Industrial Engineering, or similar quantitative discipline. MBA or other advanced technical degree preferred.
• Strong data skills with advanced knowledge of Excel, SQL, Tableau, PowerBI, or similar.
• Analytical mindset, with a proven track record in using data to measure performance and make decisions.
• Excellent problem-solving skills, including the ability to analyze and resolve complex problems using data.
• Ability to work under pressure in a fast-paced and rapidly changing environment.
• Excellent skills in presenting and analyzing data and creating actionable reports (Strong business acumen).
• Entrepreneurial thinking, with experience implementing innovative ideas or products in complex organizations.
• Strategic thinking and planning, effective at breaking down complex problems and driving and managing change.
• Excellent communication skills with a proven ability to use data to convey complex messages clearly and with conviction to different stakeholders.
• Experience in data analytics, strategy/business insights for a fast-growing globally operating tech company preferred.

• Data Analysis and Interpretation:

  • Strong proficiency in analyzing large and complex data sets to extract valuable insights.
  • Ability to use analytical tools and techniques (e.g., statistical analysis, trend analysis, forecasting) to make data-driven recommendations.

• Advanced Excel and Data Manipulation:

  • Expertise in using Excel for data analysis, including advanced functions like pivot tables, VLOOKUP, and macros.
  • Experience with data visualization tools (e.g., Tableau, Power BI) to create dashboards and reports that effectively communicate insights.

• Quantitative and Qualitative Research:

  • Skilled in both quantitative data analysis (e.g., numerical data, surveys, financial reports) and qualitative research (e.g., interviews, focus groups).
  • Ability to combine both types of data to generate a comprehensive understanding of business problems.

• Problem-Solving and Critical Thinking:

  • Strong analytical and problem-solving skills to identify trends, gaps, and opportunities.
  • Ability to approach complex issues with creativity and critical thinking, finding the most effective solutions.

• Business and Financial Acumen:

  • Understanding of business operations, financial metrics, and key performance indicators (KPIs).
  • Ability to analyze financial statements, budgets, and forecasts to support decision-making.

• Communication Skills:

  • Excellent written and verbal communication skills to present complex data and analysis in a clear, concise, and actionable format.
  • Ability to create detailed reports and presentations for stakeholders at all levels of the organization.

• Attention to Detail:

  • Ensuring the accuracy of data and analysis, avoiding errors that can lead to incorrect conclusions or decisions.
  • Thoroughness in reviewing and validating data before making recommendations.

• Project Management and Organization:

  • Managing multiple projects or tasks simultaneously, often with tight deadlines.
  • Prioritizing tasks based on business needs and ensuring projects are completed on time.

• Collaboration and Teamwork:

  • Collaborating with cross-functional teams to gather data, share findings, and develop actionable insights.
  • Ability to work effectively with colleagues from various departments, including marketing, operations, finance, and IT.

Soft Skills

• Adaptability:

  • Ability to adapt to changing business needs, priorities, and technologies.
  • Comfort with shifting tasks and deadlines in response to organizational changes.

• Time Management:

  • Managing deadlines and workloads efficiently, balancing the need for detailed analysis with the need for timely reporting.
  • Prioritizing high-impact tasks and ensuring that the analysis is completed in a time-efficient manner.

• Collaboration and Teamwork:

  • Strong ability to work as part of a team, with a collaborative and solution-focused mindset.
  • Open to feedback and capable of incorporating insights from others to improve analysis.

• Presentation and Storytelling:

  • Effectively presenting data and analysis to stakeholders in a compelling and understandable way.
  • Crafting a narrative around the data that highlights insights and drives decision-making.