Title: Data Analyst
Skills: Data Warehouse, Data Analyst, SQL Database, Power BI, no-SQL Database – Mongo DB
Location: DLF Cyber Hub, Gurugram
Company Summary: We’re the global leader in workspace scheduling technology. We make it easy to find and book space to meet up and work together. We provide workspace scheduling software to over 1,000 of the world’s biggest brands, integrating meeting room and workspace reservation solutions that help remove friction in the workplace and free businesses and their people up to get the most out of their working day.
Identify and assess key opportunity areas where data, analytics and science can enhance our business.
Develop hypothesis-driven analysis and statistical models to identify trends and key drivers in consumer behaviours that can be used to develop compelling value-props for the company and our clients.
Drive productization of analytic capabilities in data management, modelling and insights.
Gather information, perform data analysis by using latest Date Technologies to define technology requirements, business rules and ensure the technology meets the business objectives.
Work on Data Acquisition from upstream systems performing below-
Prepare Data spec
Do feed testing
Perform Testing (QA and Functional)
Research and design data enrichment & transformation processes.
Experience with Power BI or other BI tools such as Qlikview, Tableau, Spotfire, Cognos is required.
Hadoop, Spark, Kafka, Scala, Python, DB2, MySQL, Oracle, no-SQL databases like MongoDB, Elastic Search.
Should have worked as Business/Data Analyst for a Data Lake or Warehousing project, preferably on Big Data platform.
Strong SQL skills is necessary along with exposure to data analysis using industry standard tools, methods and techniques. Prior experience of data modelling is useful.
Strong Data Analyst or System Analyst experience.
Ability to work on complex data mapping issues involving large datasets.
Quantitative skills in mathematics, statistics, and analytics.
Ability to analyse existing tools and databases and provide software solution recommendations.
Ability to turn data into information, information into insight and insight into business decisions.
Able to analyse large data sets, preferably utilizing Excel, SQL, or R/Python.
Solid and proven background in data mining, statistical analysis, segmentation and modelling.
Health insurance fully paid – Spouse, children and Parents
Accident insurance fully paid
Gratuity fully paid
25 days holiday
7 paid sick days
10 public holidays
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