Senior Analyst - Data Science Job in Cvent Inc

Cvent is an exciting, fast-growing tech company that provides industry-leading software to event professionals around the world. Our suite of services - online event registration, venue selection, mobile apps, email marketing, web surveys, and targeted hotel advertising opportunities - have positioned us a major player in the estimated $565 billion global meetings and events industry.

Cvent is a global meeting, event, travel, and hospitality technology leader, with more than 4,000+ employees worldwide. As a leading cloud-based technology company, we have over 28,000+ customers, including 80% of the Fortune 100 companies, in more than 100 countries.

Cvents software solutions optimize the entire event management value chain and have enabled clients around the world to manage hundreds of thousands of meetings and events. In addition to helping event planners navigate every aspect of the event process, we also provide an integrated platform to hoteliers to help create quali?ed demand for their hotels, manage that demand more e?ciently, and measure their business performance in real-time.

About this role:

Cvent Analytics team is looking to hire Senior Analyst and is currently accepting applications.The selected incumbent will typically focus on data analysis and ML modeling. He/she would be involved in analysis for various areas across the organization i.e. in Sales, Marketing, Technology, & Client Services.

The person is expected to understand end-to-end business processes. Independently extract, prepare and analyze data to support business initiatives (e.g. revenue, profitability, performance, variance analysis etc.). Develop solutions with minimal support. Develop strategies using techniques and algorithms of data analysis & machine learning models for making meaningful and actionable recommendations.

Present and share data with other team members and to leadership.

Key Job Responsibilities:

Stakeholder & Project Management

o Strong collaboration skills to work with various stakeholders in the project team to ensure smooth flow and delivery of the project and its deliverables.

o Collaborate with stakeholders at different levels to understand current processes, data being generated and identify optimization or growth opportunities.

o Strong ability to augment data and insights to drive scale and efficiency for our stakeholders and partners.

o Person would be required to work individually or as part of a team on data science & analytical projects and work closely with business partners across the organization

o He/she would be developing statistical/machine learning models using various techniques (supervised, unsupervised, semi-supervised) and technologies including but not limited to R, Python etc.

o Work closely with data engineers, BI and UI specialists and deliver top notch analytical solution

o Define business problem and translate it into analytical problem.

What youll Need:

Relevant experience of 3-5 years in data modelling and analytics.

Bachelors Degree (in technology, statistics, sciences, or mathematics) and/or Engineering with good academic record (MBA Preferred)

Strong analytical and problem-solving skills with an ability to distill data into important, relevant insights for business leaders.

Good knowledge of concepts in Statistics and expertise in Machine Learning and Text analytics.

Good knowledge of regression modelling (linear/logistic), supervised and unsupervised classification, tree-based techniques (Decision trees /Random forest), neural nets, bagging, Pattern Mining techniques.

Extensive hands-on knowledge and experience of Python/R, MS-Excel, MS-SQL and MS-PowerPoint

Excellent project and time management skills; consultative experience and exposure, proven competence for meeting deadlines, multi-tasking under pressure and managing work under ambiguity

Strong and articulate verbal and written communication skills with attention to precision of language and ability to organize information logically

Self-driven and can work with geographically spread teams