Data Analyst
Savanna HR
Data Science
2-6 Yrs
Gurgaon
Posted: 5 days ago
Description
As a Data Analytics Specialist, you will analyze large datasets, identify trends, and generate insights that influence strategic decision-making. You will collaborate with cross-functional teams to solve complex problems and create reports, dashboards, and visualizations that communicate findings effectively.
Key Responsibilities
Data Analysis and Insights
Collect, clean, and preprocess data from various sources to ensure accuracy and reliability.
Conduct descriptive, diagnostic, predictive, and prescriptive analyses to extract meaningful insights.
Identify trends, patterns, and correlations in data to support business objectives.
Reporting and Visualization
Create and maintain interactive dashboards and reports using tools such as Tableau, Power BI, or Looker.
Present findings to stakeholders through clear visualizations and storytelling.
Provide actionable recommendations based on data insights to improve business outcomes.
Collaboration and Strategy
Work closely with stakeholders to understand their analytical needs and deliver customized solutions.
Collaborate with data engineers and IT teams to optimize data infrastructure and pipelines.
Support the design and implementation of A/B testing and other experimental frameworks.
Optimization and Automation
Automate recurring data processes and reports to improve efficiency.
Develop and maintain SQL queries, Python/R scripts, or other tools to analyze data effectively.
Monitor key performance indicators (KPIs) and alert stakeholders to anomalies or deviations.
Qualifications
Required:
Bachelor’s degree in Statistics, Mathematics, Computer Science, Economics, or a related field.
2+ years of experience in data analysis, business intelligence, or a related field.
Proficiency in SQL for data querying and manipulation.
Experience with data visualization tools (e.g., Tableau, Power BI, or similar).
Strong analytical and problem-solving skills, with attention to detail.
Solid understanding of statistical concepts and methods.
Preferred:
Experience with programming languages such as Python or R for advanced data analysis.
Familiarity with big data platforms (e.g., Spark, Hadoop) and cloud services (AWS, GCP, Azure).
Knowledge of machine learning concepts and tools.
Experience in a specific domain, e.g., marketing, finance, or operations analytics.
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