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Kissht is hiring for a FRESHER entry level Data Analyst role in India




Position:

  • Data Analyst
  • Entry level opportunity designed for individuals beginning their professional journey in analytics
  • Role focused on translating raw data into meaningful business insights
  • Opportunity to work closely with multiple departments including product, credit, and operations
  • Position emphasizes learning, growth, and practical exposure to real-world data challenges
  • Ideal for candidates who are passionate about numbers, trends, and decision-making
  • Exposure to modern analytics tools and business intelligence platforms
  • Strong focus on building foundational skills in data handling and interpretation

Company:

  • Kissht
  • A rapidly growing financial technology organization operating in the consumer lending space
  • Recognized as a certified Great Place to Work organization
  • Known for its technology-driven approach to credit and lending solutions
  • Serves millions of users across India, including a significant presence in smaller cities
  • Built on strong leadership with founders from premier institutions
  • Backed by reputed global and domestic investors
  • Focused on innovation, scalability, and financial inclusion

Location:

  • Mumbai
  • Based in one of India’s major financial and technology hubs
  • Offers exposure to a fast-paced corporate ecosystem
  • Opportunity to work in a collaborative office environment
  • Access to a strong professional network within the fintech and analytics space

Job type:

  • Full-time role
  • Structured work environment with consistent responsibilities
  • Long-term career growth opportunity within the organization
  • Suitable for individuals seeking stability and skill development
  • Enables continuous learning through hands-on projects

Job mode:

  • Onsite
  • Requires physical presence at the office location
  • Encourages in-person collaboration with teams
  • Provides better access to mentorship and team interactions
  • Ideal for individuals who prefer structured workplace settings

Job requisition id:

  • Not explicitly mentioned
  • Internal tracking likely managed by the hiring team

Years of experience:

  • 0 to 3 years
  • Suitable for fresh graduates and early career professionals
  • No strict requirement for prior full-time experience
  • Internship experience or academic exposure to analytics is beneficial
  • Focus is on potential, learning ability, and analytical mindset

Company description:

  • Kissht operates as a consumer-focused financial technology platform that aims to simplify access to credit for individuals across India
  • The organization is committed to enabling financial inclusion by serving customers who may not have traditional access to banking or lending systems
  • With a strong base of over 15 million users, the company has established itself as a trusted name in digital lending
  • A significant portion of its customer base comes from tier 2 and tier 3 cities, reflecting its reach beyond metro markets
  • The company provides a wide range of credit solutions including short-term and long-term loans for personal needs, business requirements, and recurring expenses
  • Kissht leverages advanced data analytics and machine learning techniques to assess creditworthiness and deliver fast approvals
  • Its digital-first approach ensures minimal documentation and quick processing, improving the overall customer experience
  • The company is backed by prominent investors, which strengthens its financial stability and growth potential
  • With founders from prestigious institutions such as IIT and IIM, the leadership team brings strong expertise in technology and business strategy
  • Kissht focuses on combining technology with empathy, ensuring that credit solutions are accessible yet responsible
  • The organization continues to expand rapidly, investing in research, engineering, and customer-centric innovations
  • Its work culture promotes collaboration, innovation, and continuous improvement
  • Employees are encouraged to contribute ideas and take ownership of their work
  • The company is also recognized for maintaining a positive and inclusive workplace environment
  • Overall, Kissht represents a modern fintech organization that blends innovation, scale, and social impact

Profile overview:

  • This role is designed for individuals who are eager to build a career in data analytics within a dynamic business environment
  • The Data Analyst will be responsible for handling data from multiple sources and transforming it into actionable insights
  • The position involves working with structured and unstructured data to support strategic decision-making
  • Candidates will gain exposure to real business problems and learn how data influences product and operational decisions
  • The role requires collaboration with cross-functional teams, ensuring that insights are aligned with business objectives
  • Analysts will work on dashboards, reports, and visualizations to communicate findings effectively
  • The position encourages the use of analytical thinking to identify patterns, trends, and anomalies in datasets
  • Individuals will participate in experiments such as A B testing to evaluate product performance
  • The role also includes monitoring key performance indicators and supporting ongoing analytical initiatives
  • Candidates will learn to apply statistical methods to interpret data and derive meaningful conclusions
  • The position emphasizes accuracy, attention to detail, and structured problem-solving approaches
  • Analysts are expected to contribute to process improvements by identifying inefficiencies and suggesting data-driven solutions
  • The role provides an opportunity to work with modern tools and technologies used in the analytics domain
  • It serves as a strong foundation for long-term growth in data science, analytics, or business intelligence roles
  • Overall, the profile is ideal for individuals who enjoy working with data and want to make an impact through insights

Qualifications:

  • A bachelor’s degree in technology or a related field is required
  • Strong foundational knowledge of data concepts and analytical techniques
  • Proficiency in SQL for querying and managing databases
  • Good working knowledge of Microsoft Excel for data manipulation and analysis
  • Familiarity with programming languages such as Python or R is preferred
  • Understanding of data visualization tools like Power BI or Tableau
  • Ability to create clear and meaningful charts, dashboards, and reports
  • Strong analytical thinking and logical reasoning skills
  • Attention to detail to ensure accuracy in data handling and reporting
  • Problem-solving ability to identify issues and propose effective solutions
  • Good communication skills to present insights in a clear and understandable manner
  • Basic understanding of statistics and its application in data analysis
  • Ability to work collaboratively in a team environment
  • Willingness to learn new tools and technologies as required
  • Time management skills to handle multiple tasks and deadlines efficiently
  • Self-motivated attitude with a proactive approach to work

Additional info:

  • The role offers an excellent entry point into the analytics industry
  • Candidates will gain hands-on experience with real datasets and business scenarios
  • Opportunity to work in a fast-growing fintech environment with high impact projects
  • Exposure to cross-functional collaboration enhances business understanding
  • Learning opportunities through mentorship and on-the-job training
  • Participation in experiments and performance tracking initiatives
  • Opportunity to contribute to product and operational improvements
  • Encouragement to bring new ideas and innovative approaches
  • Strong focus on professional growth and skill development
  • Exposure to industry-standard tools and practices
  • Opportunity to work with a diverse and talented team
  • Dynamic work environment that supports creativity and initiative
  • Potential for career advancement within the organization
  • Work culture that values transparency, ownership, and accountability
  • Ideal platform for building a long-term career in data analytics

Please click here to apply.


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