We are seeking a skilled Data Analytics Specialist to join our team in Pune, India. As a Data Analytics Specialist, you will play a pivotal role in extracting insights from data to drive informed decision-making and business strategy. Your expertise in Data Analytics Basics 1 will be instrumental in uncovering trends, patterns, and correlations within our datasets.

• Job Title. Data Analytics Specialist
• Job Reference No. 996302
• Domain. Information Technology

Desired Skills and Experience

1. Proficiency in Data Analytics Basics-1. You should have a strong foundation in Data Analytics Basics-1, including but not limited to data visualization, statistical analysis, and data manipulation techniques.
2. Analytical Thinking. Ability to approach problems logically and systematically, with a keen eye for detail. You should possess strong analytical skills to dissect complex datasets and derive meaningful insights.
3. Data Visualization. Experience with data visualization tools such as Tableau, Power BI, or similar platforms. You should be capable of creating visually appealing and informative dashboards to communicate insights effectively.
4. Statistical Analysis. A solid understanding of statistical concepts and techniques, including hypothesis testing, regression analysis, and probability distributions, is preferred. Proficiency in statistical software such as R or Python for data analysis is also preferred.
5. Data Manipulation. You should have hands-on experience with data manipulation tools and languages such as SQL, Python (Pandas), or R. You should also be adept at cleaning, transforming, and preparing data for analysis.
6. Communication Skills. Excellent verbal and written communication skills are essential for effectively conveying complex analytical findings to non-technical stakeholders. You should be able to translate data-driven insights into actionable recommendations.
7. Problem-Solving Ability. You should have strong problem-solving skills to tackle real-world business challenges using data-driven approaches. You should also be proactive in identifying opportunities for process optimization and performance improvement through data analysis.
8. Team Collaboration. You should be able to collaborate effectively with cross-functional teams, including data engineers, business analysts, and decision-makers. You should also be comfortable working in a dynamic and collaborative environment.

If you meet the above criteria and are passionate about leveraging data to drive business value, we encourage you to apply for this exciting opportunity. Join us in harnessing the power of data analytics to unlock new insights and drive innovation.