Business Intelligence, Intern - #966369

About us

WeWork is a global platform for creators, providing hundreds of thousands of members around the world with space, community and services that enable them to do what they love and create their life's work. Our mission is to create a world where people work to make a life, not just a living, and our own team members are central to that goal.

WeWork India, is run by the Indian real estate conglomerate, Embassy Group and commenced operations in 2017. Currently, it has over 62,000 members and 43 locations and six cities in India - Bengaluru, Mumbai, Gurugram, Noida, Hyderabad, and Pune. Its portfolio comprises small and medium enterprises, start-ups, large businesses, freelancers, etc. Our mission is empowering tomorrow's world of work.

WeWork India's latest brand campaign , showcases the breadth of products at WeWork India which makes it the ideal end-to-end workspace solutions provider in a hybrid and flexible world. WeWork's products include digital offerings like On-demand, All Access, Managed Office by WeWork, and its space as a service portfolio consisting of private offices, custom build offices, and conference rooms, among others.

WeWork India is the country's leading flexible workspace provider that offers a personalized experience to different types of professionals with varied needs through its innovative and customized offerings. WeWork India is home to a community of diverse set of people - from innovators to visionaries to dreamers and go-getters, making it a space where people meet and inspire each other to achieve greater heights of success. You can learn more about our team and organization . Read more about our code to understand how we do things.

The Team

The Business Intelligence Team directly reports in to the CEO's Office at WeWork India. We strongly believe that data sits at the center of our business, providing insights into the effectiveness of our physical and digital products & features. The intent of the BI & Analytics team is to power the growth of the company by supplying the right insights and enabling teams as well as the Leadership to take the best decision for the organization.

About the Role :

As a Data Analytics Intern, you will assist in managing our master data set, developing reports, and troubleshooting data issues. To do well in this role you need a very fine eye for detail, the instinct of a business data analyst, and deep understanding of the popular data analysis tools and databases, with the goal of providing the insights required to power our organization's growth. The role will also entail gaining knowledge of data engineering and exploring the source systems from which data flows into our central data warehouses.

You will work closely with the BI team to support them in the process of dashboard development as well as other key analytics projects. The candidate should be a team player with the ability to fit into the role of supporting the team members with the development as well as testing of reports

Roles and Responsibilities :

Data Exploration, Forecasting, Analytics and Reporting -

• Gain familiarity with the process of building dashboards - from documentation of report specifications to source data finalization & ETL operations to mock-up design and subsequent dashboard development & testing

• Explore source system data, and collaborate with data engineers in the testing of ETL Operations and data transformation.

• User Acceptance Testing (UAT) of the dashboards developed with the test cases successfully maintained and managed on the Agile project management tool used internally. Close the loop with stakeholders to fix the errors identified during testing and complete the necessary documentation on fixes deployed to correct errors

• Coordination with BI experts and analysts for customized data models and integration. Code updates, new code development, and reverse engineering.

• Produce exploratory analyses and presentations for internal and external stakeholders, and assist them in identifying early trends in order to facilitate quick and informed decision making.

Experience and Qualifications :

• 1-2 years of experience in Business/Data Analytics, focusing on exploratory studies - knowledge of data engineering and back-end systems preferred

• Advanced Financial Modeling and Data Analytical Skills. Expected to be highly skilled and proficient in Python, python libraries for data science, basic SQL, tableau/power BI, Excel & creating dynamic dashboards.

• Must be able to build and maintain complex predictive models.

• Must be able to synthesize and draw conclusions from copious amounts of raw data

• Self-starter that takes initiative and is driven by new challenges

• Strong work ethic and rigorous attention to detail

• Strong communicator with ability to present concepts, recommendations and analyses to senior management in a clear, concise and actionable manner

• Demonstrated success in team collaboration ability to work well cross-functionally

• Passion for learning and relentless improvement able to work comfortably under pressure in a fast-paced and dynamic environment.

Equal Opportunity Employer

WeWork India is an Equal Opportunity and Affirmative Action Employer. We celebrate diversity and are committed to creating an inclusive environment for our employees and members. Employment decisions are made without regard to race, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, veteran status or other characteristics protected by law.

We expect all employees to embody our values and all aspects of employment including the decisions to hire and promote, are based on merit, competence, performance and business needs.

Our total rewards philosophy is aimed at providing compensation that is competitive, performance linked and helps us attract and retain the talent we need to drive our business forward and serve our members. As part of WeWork India, our commitment to you is that you'll be surrounded by career opportunities in a culture that fosters collaboration, flexibility and inclusion.