Paytm Off Campus Recruitment Drive 2002 |
Hiring Fresher 2022/21/20/19/18/17 Batch candidates as Data
Science – Analyst | Apply Today
NOIDA, BANGALORE, INDIA /
ANALYTICS – LENDING /
ON-ROLE
About Us:
Paytm is India’s leading
digital payments and financial services company, which is focused on driving
consumers and merchants to its platform by offering them a variety of payment
use cases. Paytm provides consumers with services like utility payments and
money transfers, while empowering them to pay via Paytm Payment Instruments
(PPI) like Paytm Wallet, Paytm UPI, Paytm Payments Bank Netbanking, Paytm
FASTag and Paytm Postpaid - Buy Now, Pay Later. To merchants, Paytm offers
acquiring devices like Soundbox, EDC, QR and Payment Gateway where payment
aggregation is done through PPI and also other banks’ financial instruments. To
further enhance merchants’ business, Paytm offers merchants commerce services
through advertising and Paytm Mini app store. Operating on this platform
leverage, the company then offers credit services such as merchant loans,
personal loans and BNPL, sourced by its financial partners.
About the team : This team specifically works on machine-learning
algorithms to solve various business problems by developing statistical
models/scorecards. Extract data, data-wrangling, hypothesis-testing,
feature-engineering and model development
About the role:
The ideal candidate should be
self-directed, passionate about data, ready for an immersive, real-world
experience and focused on delivering the right results. The candidate should be
able to apply programming acumen and a breadth of tools, data sources and
analytical techniques to answer a wide range of high-impact business questions
and present the insights in a concise and effective manner. Technical aptitude,
programming, reporting/data visualization and data science skills are required
in this role. The role requires incubating, developing, testing, and
iteratively improving data analyses to provide key insights that will shape
product actions, improve customer experience, and usage of the product(s).
1. Provide analytical insights
by analyzing various types of data, including mining our customer data, review
of relevant cases/samples, and incorporation of feedback from teammates
2. Work closely with business
partners and stakeholders to determine how to design analysis, testing, and
measurement approaches that will significantly improve our ability to
understand and address emerging business issues
3. Produce intelligent,
scalable, and automated solutions by leveraging Data Science skills
4. You’ll turn data into
information, information into insight and insight into business decisions.
Business decisions could include, but are not limited to, product feature
prioritization, data strategy, use case business impact assessment, and/or
Experiment test rollout decisions.
5. With your strong
communication skills, you will story-tell and educate business leaders by
leveraging data, insights, testing and measurement plans
6. You’ll develop analysis,
ad-hoc, and operating reporting and dashboard capabilities. Monitor performance
and quality control plans to identify improvements to guest data quality
7. You’ll Identify, analyze,
and interpret trends or patterns in complex data sets to inform business
stakeholders to take better decisions.
8. You’ll create and automate
reporting and insights at scale that informs and influences business strategy
decisions.
9. You’ll democratize data and
insights as you strive to deliver self-service tools to your partners and
enable them to make better decisions quicker
10.You’ll provide thought
partnership in how we measure a business area from the code that we use to
collect data, all the way to the application of the insights that you derive
from reports and analysis.
Expectations/ Requirements:
1. Bachelor’s degree in
technical/ analytics/ data science/ mathematics/ statistics/ economics/
operations research field or equivalent preferred
2. Experience of 6 months – 3
years of working in BFSI/ Fintech/ Digital/ Retail analytics and Business
Insights/reporting
3. Expertise in some of
the analytics tools/languages such as: SQL/ Python/ PySpark/ Excel/ R/ Hadoop/
Hive etc., or equivalent technologies with a strong desire and ability to learn
new technologies and concepts
4. Understanding and/or
experience of technical and analytical approaches, predictive modelling,
multivariate testing, and statistical principles
5. Ability to handle, advocate
and represent a variety of complex priorities, weighing the value to Target and
the teams you support
6. Excellent Data Handling
Skills including Efficient Raw Data Querying, Data Cleaning, Data-Pre-Processing,
Data-Massaging, Data Wrangling and Data Transformation.
7. Good working knowledge of
concepts of Variable and Dimensionality reduction, Variable creation/
transformation, Feature Engineering
8. Expertise in analyzing huge
data (structured and unstructured) using statistical and data modeling tools
such as SQL, Python, R/ PySpark/ SAS as well as Data Visualization and
Presentation via Executive Dashboards with Power BI, Tableau, Qlikview or similar
data-visualization software.
Superpowers/ Skills that will help you
succeed in this role:
1.Love and live numbers, apply
logic, have the analytical bent, ever-curious to explore and push the
boundaries
2.Strong customer focus,
preferably with BFSI/ Fintech experience
3.Enjoys working in a
collaborative team environment
4.Ability to multi-task, highly
adaptable to change and ambiguity
5.Proactive, shows initiative
and keen to try new things i.e. new technologies, skills and Data Science
Techniques, Data Handling
6. Efficiencies and
Optimization
7.A tenacious problem solver
that is comfortable with ambiguity and builds collaborative partnerships.
Education: Graduation/ Postgraduation into Mathematics/
Statistics
Why join us:
We support our people by
providing a range of flexible working options so they can work in the way that
best suits them. We also offer you the opportunity to develop your career,
working in a diverse and inclusive workplace where the diverse backgrounds,
perspectives and life experiences of our people are celebrated and create a
great place to grow, thrive and belong. Most importantly, for us Work is Fun !!
Compensation:
If you are the right fit, we
believe in creating wealth for you with enviable 500 mn+ registered users, 21
mn+ merchants and depth of data in our ecosystem, we are in a unique position
to democratize credit for deserving consumers & merchants – and we are
committed to it. India’s largest digital lending story is brewing here. It’s
your opportunity to be a part of the story!
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