Zeta is Hiring Freshers in Bangalore! Data Analyst Role for Graduates in Bangalore!
Company : Zeta
Position : Data Analyst
Qualification : Bachelor or Master degree in engineering
Location : Bangalore, Karnataka, India
Experience : Freshers
Salary : As per Company Standards
Deadline : Apply as soon as possible
Responsibilities :
The responsibilities of the position include building and maintaining highly efficient data reporting and analytical systems to support decision-making across multiple teams. This includes designing and implementing fast and reliable ETLs (Extract, Transform, Load) using Python, along with creating and optimizing SQL queries on both SQL and NoSQL databases. A candidate’s focus is on ensuring consistent performance optimization and maintaining high-quality data to enable quicker and more accurate business decisions.
Another key responsibility is developing dashboards and creating detailed documentation to clearly present results. This includes monitoring key data metrics regularly and ensuring the information is accessible and actionable for effective decision-making processes. By providing visual and written insights, the role ensures that teams have the necessary tools to interpret data trends and make strategic decisions.
A candidate also involves identifying and analyzing critical business metrics to generate meaningful insights. Based on these metrics, recommendations for product features and improvements are provided, enhancing the functionality and overall value of the products. This needs a strong understanding of business objectives and the ability to translate data findings into actionable strategies.
Collaboration with cross-functional teams, including Engineering, Product, and Operations, is a important part of this role. This involves working together to conceptualize, design, and build data reporting and analytical systems that meet the diverse needs of the organization. Strong communication and teamwork skills are essential to ensure that all stakeholders are aligned and working towards common goals.
Additionally, the responsibilities include ideating and conducting exploratory analyses to uncover new opportunities for improvement and innovation. By proactively analyzing data and generating insights, the role helps shape the direction of future projects and initiatives. These insights are used to provide strategic recommendations and drive impactful actions within the organization.
Overall, A candidate is centered on leveraging data to empower teams, improve decision-making processes, and contribute to the organization’s success through effective data management, analysis, and collaboration.
Skills :
A candidate possesses a Bachelor’s or Master’s degree in engineering, showcasing a strong educational foundation. A candidate should have extensive expertise in SQL and Python programming, making them proficient in handling data and implementing complex solutions effectively. A candidate’s exceptional quantitative skills and problem-solving abilities enable them to tackle challenges and deliver accurate, data-driven results.
A candidate have hands-on experience with analytical and visualization tools like Tableau and Metabase, which helps them interpret and present data insights clearly and efficiently. A candidate’s basic knowledge of data modeling and ETL (Extract, Transform, Load) processes allows them to understand and support data workflows. Additionally, A candidate must be familiar with statistical methods and machine learning techniques, including classification, linear regression modeling, clustering, and decision trees. This technical proficiency aids in analyzing trends and making predictive assessments.
A candidate must be skilled at collaborating with cross-functional and dependent teams, demonstrating the ability to think critically and take ownership of delivering end-to-end solutions. A candidate’s excellent problem-solving skills and independent working capabilities make them a reliable contributor to any project.
Furthermore, candidate’s strong communication and interpersonal skills foster effective collaboration across teams, ensuring smooth coordination and successful project outcomes. They thrive both independently and as part of a team, showcasing adaptability and a proactive mindset in achieving organizational goals.
Eligibility Criteria:
A candidate must holds a Bachelor’s or Master’s degree in engineering, specializing in computer science or information systems. This strong educational background provides a solid foundation in understanding complex systems and data-related technologies.
With at least one year of professional experience in working with data, they have demonstrated their ability to manage and analyze information effectively. Their expertise spans areas such as reporting and data analysis, where they have showcased the ability to process and interpret data to derive meaningful insights. This experience reflects their capability to handle real-world data challenges, including identifying trends, generating actionable reports, and supporting decision-making processes.
The individual’s experience working with data highlights their technical proficiency and analytical mindset. They excel in breaking down complex datasets into understandable formats and ensuring data accuracy and relevance. This skillset makes them a valuable asset in data-driven environments, where their contributions enhance business performance and drive innovation.
Overall, their combination of academic credentials and practical experience positions them as a well-rounded professional, adept at navigating the dynamic field of data analysis and reporting. Their ability to understand, interpret, and apply data effectively is instrumental in supporting organizational goals and strategic objectives.