Position: Associate Data Analyst
Location: Hyderabad
Job Type: Full-Time
Experience Level: Entry-Level / 0–2 Years
Qualification: Bachelor’s Degree or Equivalent Experience
About the Role
We are looking for a highly motivated Associate Data Analyst to join our Business Intelligence and Analytics team. This role focuses on managing structured data, building insightful business tools, and transforming raw data into actionable insights. Ideal for candidates with an analytical mindset, this position offers the opportunity to work across multiple functions to deliver impactful data-driven solutions.
Key Responsibilities
- Work with structured data to identify trends, patterns, and anomalies.
- Build and maintain business intelligence tools, dashboards, and decision support systems.
- Develop product specifications and data models to bring disparate data into a unified format.
- Perform data normalization, quality assurance, and preprocessing operations.
- Collaborate with stakeholders to understand data requirements and deliver tailored analytical solutions.
- Support the design and delivery of segmentation models, predictive insights, and performance visualizations.
- Present findings in a clear, concise, and actionable format to drive business decisions.
- Use business intelligence and data visualization tools (e.g., Tableau, Power BI) to interpret and communicate insights.
- Leverage subject matter expertise when designing models and interpreting results.
- Ensure adherence to company policies, procedures, and guidelines, including flexible work arrangements and role-based changes as directed.
Required Qualifications
- Bachelor’s degree in Data Science, Statistics, Computer Science, Business Analytics, or a related field (or equivalent experience).
- Foundational knowledge of data analysis principles and statistical techniques.
- Familiarity with business intelligence and data visualization tools.
- Strong attention to detail and analytical thinking.
- Excellent communication and collaboration skills.
Preferred Skills (Good to Have)
- Exposure to SQL, Excel, Python, R, or similar data analysis tools.
- Understanding of regression-based and descriptive analytics.
- Experience working in cross-functional teams or supporting external clients with analytical deliverables.
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