Data Analytics Manager - II

Key Skills

Analytical and Problem solving, Data Analytics, Data science techniques, Database, Management, NoSQL, XML-JSON

Job Description

CBRE Group, Inc. is the world’s largest commercial real estate services and investment firm, with a revenue of $26.106 Billion (as recorded on September 30, 2021) and more than 100,000 employees (excluding affiliate offices). CBRE has been on the Fortune 500 list each year since 2008, ranking #122 in 2021.

It has also been voted ‘Industry’s top brand’ by the Lipsey Company for 21 consecutive years, in addition to being one of Fortune’s “Most Admired Companies” for 12 years in a row, including being ranked number one in the real estate sector in 2020, for the second consecutive year.

CBRE’s Digital and Technology (D&T) organization is dedicated towards revolutionizing the real estate space with its software products. Our breakthrough products have brought real estate management to the fingertips for our clients.

Our small, fast-paced teams are responsible for creating innovative software that enhances the experiences of both our internal and external clients. As part of CBRE’s Digital & Tech organization, you’ll be able to learn from the most brilliant software engineers and designers while tackling tough problems, solution to which will drive our technology forward.

Manager – Analytics

Job Description

• Having 15+ years of experience in analyzing various sources and formats of data. Should be able to deduce insights and present it to various stake holders: IT and Business
• A deep understanding of domain and its market, business process should be able to relate to the data sourced.
• Understanding business problems and articulating the data insights to the problems and / or future direction.
• Should be able to guide stakeholders on business decision that are fetching results.
• Highly technical in understanding data and its various formats: JSON, XML, Databases, NoSQL. Should be able to find relationships and query data, ingest into various other sources for pre-processing and establishing relationships with data ingested.
• Possess strong negotiation skills to convince stakeholders.

Responsibilities

• Deliver insights based on the data analyzed.
• Be the “go to” person for Product managers, developers for analyzing data.
• Deliver highly effective presentations.
• Manage and coach team of analytics and data scientists

Skills

• Analytical and negotiation
• Various databases, DataMart’s and querying skills.
• Demanding yet collaborative.
• Understanding of data science models and its applicability.
• Understanding the Risks associated with data science projects and budget allocated.

EDUCATION and EXPERIENCE

Bachelor's degree (BA/BS) from four-year college or university and a minimum of six to ten years of related experience and/or training.