Senior Data Analyst - Hyderabad (Hybrid)
Join Astar Data as a Senior Data Analyst and drive impactful data-driven solutions for our diverse clientele. This role offers a unique opportunity to tackle complex business challenges through sophisticated data analytics, visualization, and business intelligence.
About the Role:
We are seeking a talented Data Analyst to work on a broad spectrum of data analytics, data visualization, and business intelligence problems across various industries. You will be instrumental in translating client needs into tangible analytical outcomes.
Key Responsibilities:
- Engage with clients to thoroughly understand their business context and objectives.
- Map and visualize business processes to gain a comprehensive understanding.
- Translate complex business problems into well-defined analytical structures, employing statistical and machine learning techniques for solutions.
- Collaborate closely with a team of data scientists and engineers to integrate AI and analytics into critical business decision-making processes.
- Identify and formulate strategies for business process improvement.
- Effectively communicate the benefits of analyses and present findings and recommendations clearly to clients.
Desired Skills and Competencies:
- Experience in developing and enhancing algorithms and models to address business challenges.
- Proven ability to provide end-to-end analysis support across diverse industry domains and application areas.
- Skilled in data quality assessment, analyzing data usability, and sufficiency for achieving desired analytical and business outcomes.
- Proficiency in generating data cuts and outputs according to specifications, including survey data cleanup, weighting, variable recoding, creating custom tabular views, and running cross-tabulations.
- Adept at conducting quantitative analyses and interpreting 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 valuable asset.
- Strong analytical and problem-solving capabilities.
- Experience with storyboarding and client interaction is highly desirable.
- Excellent written and verbal communication skills.
Education and Experience:
- 3 to 5 years of relevant analytics experience, with a strong focus on problem-solving and advanced analytics solutions.
- A Bachelor of Engineering (B.E.), MBA, or an advanced degree in Mathematics, Statistics, or an equivalent field.
