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Data Insights Specialist
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We are seeking a highly skilled professional to transform raw data into actionable insights that drive business growth and improvement.
This role requires a unique blend of technical expertise, analytical skills, and strong communication to effectively collaborate with cross-functional teams.
- 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.
Key Requirements & Competencies
- Strong proficiency in data analysis tools and languages (Python, SQL, Excel).
- Experience with visualization platforms (Power BI, Tableau).
- Knowledge of database management systems (MySQL, PostgreSQL).
- Hands-on experience in automation workflows (Python scripts, AI/ML models).
- Ability to work with large, complex datasets and build analytical models.
- Excellent problem-solving skills with an analytical and structured mindset.
- Strong verbal and written communication skills to explain insights clearly.
- Quick learner with the ability to grasp domain knowledge and industry context.
- Ability to work independently as well as part of a team with a sense of ownership and responsibility.
PREFERRED ATTRIBUTES
- Prior experience in MIS, dashboards, or business intelligence reporting.
- Familiarity with AI-driven analytics or automation platforms.
- High attention to detail and commitment to delivering quality results.
Education & Experience
- Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Engineering, or a related field.
- 2–5 years of relevant work experience in data analysis, business intelligence, or database management.
