
Critical Insights Specialist
4 days ago
We are seeking a highly analytical and detail-oriented Senior Data Analyst to play a critical role in transforming raw data into meaningful insights that support business decision-making.
This role requires a balance of technical expertise, automation skills, problem-solving ability, and strong communication to effectively collaborate with cross-functional teams.
Key Responsibilities:
- Collect, clean, and organize structured and unstructured datasets for analysis.
- Perform exploratory and advanced data analysis to identify trends, patterns, and insights.
- Develop and maintain dashboards, reports, and visualizations for management and operational teams.
- Collaborate with stakeholders to understand business challenges and provide data-driven solutions.
- Contribute to process improvements by identifying gaps and recommending enhancements.
- Automate recurring reporting and analytical tasks using AI/ML-based tools and scripting.
- Manage and optimize databases, ensuring accuracy, consistency, and data integrity.
- Present findings in a clear, concise manner to both technical and non-technical audiences.
Strong proficiency in data analysis tools and languages (Python, SQL, Excel/Google Sheets) is required. Experience with visualization platforms (Power BI, Tableau, or similar) is also necessary. Knowledge of database management systems (MySQL, PostgreSQL, or similar) is essential. Hands-on experience in automation workflows (Python scripts, AI/ML models preferred) is required.
Ability to work with large, complex datasets and build analytical models is crucial. Excellent problem-solving skills with an analytical and structured mindset are necessary. Strong verbal and written communication skills to explain insights clearly are required. Quick learner with the ability to grasp domain knowledge and industry context is a must.
Ability to work independently as well as part of a team with a sense of ownership and responsibility is essential. Prior experience in MIS, dashboards, or business intelligence reporting is preferred. Familiarity with AI-driven analytics or automation platforms is also desirable. High attention to detail and commitment to delivering quality results is expected.
Education & Experience:Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Engineering, or a related field is required. 2–5 years of relevant work experience in data analysis, business intelligence, or database management is necessary.
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