Zeta is hiring for an entry level Data Analyst role in India

Position:

• Data Analyst

Company:

• Zeta

Location:

• Bangalore, India

Job Type:

• Full-time

Job Mode:

• On-site

Job Requisition ID:

• Not provided

Years of Experience:

• Minimum 1 year of experience in data reporting and analysis, particularly with SQL and Python (the experience can be personal or project related too)
  

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Company Description

• Zeta is a Next-Generation Banking Tech company founded in 2015 by Bhavin Turakhia and Ramki Gaddipati, revolutionizing the way banks and fintechs design and launch banking products.
• Core Offering: The flagship platform, Zeta Tachyon, is the first fully cloud-native, API-enabled stack in the industry, integrating issuance, processing, lending, core banking, fraud & risk management, and other functionalities into a unified vendor solution.
• Global Reach: With over 20M+ cards issued globally, Zeta collaborates with leading banks and fintechs across the US, EMEA, and Asia to transform the customer experience for millions of card portfolios.
• Workforce: Employs 1700+ professionals, with over 70% of roles dedicated to R&D, demonstrating its commitment to innovation and technological advancement.
• Funding: Raised $280 million in 2021 at a $1.5 billion valuation, backed by prominent investors like Softbank and Mastercard.
• For more information, visit www.zeta.tech or follow Zeta on LinkedIn and Twitter.

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Profile Overview

• The Data Analyst at Zeta will play a pivotal role in ensuring that enterprise software data is organized, analyzed, and presented to drive impactful decisions.
• By utilizing technical expertise, the data analyst will develop systems and dashboards to optimize decision-making for various stakeholders, including business owners, customer stakeholders, and internal teams.
• Key Objectives: To design accurate and high-quality data reporting systems that enable faster, data-driven decisions. The analyst will also identify critical business metrics, provide actionable insights, and recommend product enhancements to improve functionality.
• Collaboration: This role requires working closely with cross-functional teams, including Engineering, Product, and Operations, to build robust data analytics and reporting systems.
• This position is ideal for professionals who enjoy problem-solving, strategic thinking, and working with diverse tools and technologies to address complex business challenges.

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Responsibilities

Technical Development

• Build and optimize fast and reliable data reporting systems for use by various teams to facilitate decision-making.
• Develop ETL pipelines using Python and design queries for SQL and NoSQL databases to extract and manage data efficiently.
• Continuously enhance the performance and quality of data systems for improved reporting and faster decision-making.

Dashboard Creation and Reporting

• Design and implement interactive dashboards to visualize and communicate analytical results effectively.
• Regularly monitor key data metrics to ensure accuracy and relevance, enabling stakeholders to make data-driven decisions.

Business Metrics Analysis

• Identify and analyze critical business metrics to uncover insights that inform product and business strategies.
• Provide recommendations for product features and enhancements based on the identified metrics.

Cross-Functional Collaboration

• Collaborate with teams across Engineering, Product, and Operations to conceptualize, design, and build effective reporting systems.
• Work in alignment with team goals to ensure data analysis aligns with the company’s strategic objectives.

Ideation and Exploration

• Conduct exploratory data analysis to generate insights for future projects.
• Provide actionable recommendations and contribute ideas to improve business and product strategies.

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Qualifications

• Educational Background:
  • Bachelor’s or Master’s degree in Engineering (Computer Science, Information Systems, or related fields).
• Technical Proficiency:
  • Advanced knowledge of SQL and Python for data analysis and manipulation.
  • Familiarity with analytical and visualization tools, such as Tableau and Metabase.
• Statistical and Machine Learning Knowledge:
  • Understanding of data modeling, ETL processes, and techniques like classification, linear regression, clustering, and decision trees.
• Collaboration Skills:
  • Proven ability to work with cross-functional teams and manage dependencies effectively.
• Problem-Solving and Analytical Skills:
  • Strong quantitative and problem-solving skills, with a knack for breaking down complex data problems into actionable insights.
• Communication and Interpersonal Skills:
  • Ability to present technical insights to diverse stakeholders, both technical and non-technical.

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Additional Info

• Team Environment: Zeta offers a collaborative, dynamic, and fast-paced environment with an emphasis on innovation and growth.
• Diversity and Inclusion: As an equal opportunity employer, Zeta celebrates diversity and is committed to fostering an inclusive environment. Applicants from all backgrounds are encouraged to apply.
• Work Culture: Zeta emphasizes collaboration, ownership, and independent problem-solving, empowering employees to take initiatives and drive impactful outcomes.
• Growth Opportunities: This role offers a chance to work on cutting-edge technologies and collaborate with some of the brightest minds in the industry.
• Tools and Resources: The company provides access to advanced tools, platforms, and training to help employees excel in their roles.
• Global Exposure: As part of a global team, employees will gain exposure to international markets and best practices in data analytics.

Please click here to apply.

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