Senior Data Analyst

Senior Data Analyst

About the Role:

Astar Data is seeking a Data Analyst to tackle a wide array of data analytics, data visualization, and business intelligence challenges across various industries. This role involves deep engagement with clients to understand their business context, mapping business processes, and translating complex business problems into analytical structures that can be solved using statistical and machine learning techniques. You will collaborate with a team of data scientists and engineers to integrate AI and advanced analytics into business decision-making processes, identify opportunities for business improvement, and effectively communicate analytical findings and recommendations to clients.

Key Responsibilities:

• Engage with clients to understand their business context and requirements.
• Map and document business processes visually.
• Translate business challenges into analytical frameworks and apply statistical/ML techniques for solutions.
• Collaborate with data science and engineering teams to embed AI and analytics in decision processes.
• Identify and propose business improvements based on data analysis.
• Present analytical findings, recommendations, and their benefits to clients effectively.

Desired Skills & Competencies:

• Experience in developing and enhancing algorithms and models for business problem-solving.
• Provide end-to-end analytical support across diverse industry domains and application areas.
• Proficiency in data quality assessment, evaluating data usability and sufficiency for analytical outcomes.
• Generate data outputs according to specifications, including survey data cleanup, weighting, variable recoding, and cross-tabulations.
• Conduct quantitative analyses and interpret results.
• Proficiency in visualization tools such as Power BI, Tableau, QlikView, or Spotfire.
• Expertise in MS SQL Database and MS Office Suite (Excel, Word, PowerPoint).
• Python knowledge is a plus.
• Strong analytical and problem-solving capabilities.
• Experience with storyboarding and client interaction is highly valued.
• Excellent written and verbal communication skills.

Education & Experience:

• 3-5 years of relevant analytics experience with a focus on problem-solving and advanced analytics solutions.
• Bachelor's degree in Engineering (B.E.), Master of Business Administration (MBA), or an advanced degree in Mathematics/Statistics or equivalent.