Senior Data Analyst

Job Title: Senior Data Analyst 

Job Summary:

We are seeking a highly experienced Senior Data Analyst with 12+ years of expertise in data analysis, business intelligence, and data-driven decision-making. The ideal candidate will lead analytics initiatives, deliver actionable insights, and support strategic business decisions through advanced data analysis and visualization.

Key Responsibilities:

• Analyze large and complex datasets to identify trends, patterns, and insights

• Develop and maintain dashboards, reports, and KPIs

• Perform data extraction, transformation, and validation from multiple sources

• Translate business requirements into analytical solutions

• Conduct advanced statistical analysis and predictive modeling

• Collaborate with business stakeholders to drive data-driven decisions

• Ensure data accuracy, consistency, and governance

• Present insights and recommendations to leadership teams

• Work with structured and unstructured datasets

• Support A/B testing, forecasting, and performance analysis

• Mentor junior analysts and provide analytical guidance

• Drive best practices in data analysis, reporting, and visualization

Required Skills & Qualifications:

• Bachelor’s/Master’s degree in Statistics, Mathematics, Computer Science, Economics, or related field

• 12+ years of experience in data analysis, business intelligence, or analytics roles

• Strong proficiency in SQL and relational databases

• Expertise in data visualization tools (Power BI, Tableau, Looker)

• Hands-on experience with Python or R for data analysis

• Strong understanding of statistics and analytical techniques

• Experience with data modeling and data preparation

• Familiarity with data warehousing concepts

• Ability to work with large and complex datasets

Preferred Qualifications:

• Experience with predictive analytics and machine learning concepts

• Familiarity with big data tools (Spark, Hadoop)

• Knowledge of cloud platforms (AWS, Azure, Google Cloud)

• Experience with A/B testing and experimentation frameworks

• Exposure to ETL processes and data pipelines

• Domain experience (Finance, Healthcare, E-commerce, etc.)

Soft Skills:

• Strong analytical and problem-solving skills

• Excellent communication and data storytelling abilities

• Ability to translate technical insights into business language

• Strong stakeholder management skills

• Leadership and mentoring capabilities

• Ability to manage multiple priorities and deadlines