Lead - Business Analyst

Job Summary:

We are looking for a skilled and experienced Senior Data Analyst to join our growing team. In this role, you will be responsible for extracting, analyzing, and interpreting complex data to provide actionable insights that support key business decisions. As a Senior Data Analyst, you will take the lead on large-scale analytics projects, mentor junior analysts, and collaborate with cross-functional teams to identify opportunities for business growth and process optimization. If you have a passion for data, advanced analytical skills, and a knack for turning data into valuable business intelligence, we’d love to hear from you.

Key Responsibilities:

- Data Analysis & Reporting: Analyze large datasets from various sources to identify trends, patterns, and insights. Design and produce regular reports and dashboards for business stakeholders to inform strategic decisions.

- Advanced Analytics: Utilize advanced statistical methods, machine learning models, and data mining techniques to solve complex business challenges and provide actionable insights to drive performance.

- Data Visualization: Create and maintain visually engaging dashboards and reports using tools like Tableau, Power BI, or similar, enabling stakeholders to easily interpret and act on data findings.

- Process Improvement: Identify areas for process improvement through data analysis. Recommend and implement optimizations to improve efficiency, accuracy, and overall data management.

- Collaboration & Stakeholder Engagement: Work closely with business leaders, product teams, marketing, finance, and IT to understand business needs and ensure that data solutions align with organizational goals.

- Data Governance & Quality Assurance: Ensure data accuracy, consistency, and integrity across systems. Lead efforts to maintain data quality standards, including cleaning and validating data to ensure reliable analysis.

- Mentorship & Leadership: Provide guidance and mentorship to junior data analysts, assisting with data analysis techniques, report development, and troubleshooting complex issues.

- Strategic Insights: Lead initiatives to provide deeper insights into business operations, customer behavior, and market trends, contributing to the company’s long-term strategic planning.

- Ad-hoc Analysis: Support ad-hoc analysis requests from various departments, providing quick, high-quality data insights to solve immediate business problems.

Qualifications:

• Education: Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, Economics, or a related field. Master’s degree or relevant certifications is a plus.
• Experience: 3+ years of experience in data analysis, business intelligence, or a similar role, with a demonstrated ability to apply data analysis to real-world business problems.
• Strong proficiency in SQL and experience working with relational databases.
• Expertise in data visualization tools (e.g., Power BI, Superset, etc.).
• Advanced skills in Excel, including complex formulas, pivot tables, and macros.
• Experience with statistical analysis and machine learning tools (e.g., Python, R, or similar programming languages).
• Analytical Skill: Strong quantitative skills and a deep understanding of statistical techniques and data modeling.
• Communication: Excellent written and verbal communication skills. Ability to translate complex data findings into clear, concise insights for both technical and non-technical stakeholders.
• Problem Solving: Demonstrated ability to approach complex data challenges with innovative solutions and actionable recommendations.
• Leadership: Ability to manage and mentor junior team members, ensuring they deliver high-quality work and develop their skills.
• Project Management: Strong organizational and time management skills, with the ability to manage multiple projects and deadlines.

Key Competencies:

• Attention to Detail: Ability to work with large datasets and ensure accuracy and precision in analysis, reports, and insights.
• Business Insight: Understanding of business operations and how data can be leveraged to improve decision-making, efficiency, and profitability.
• Collaboration: Ability to work effectively in a cross-functional team environment and communicate data-driven insights to non-technical stakeholders.
• Adaptability: Comfortable working in a fast-paced, evolving environment with a focus on continuous learning and process improvement.
• Critical Thinking: Strong analytical thinking and the ability to develop hypotheses, test them, and drive actionable insights.