[New Job Vacancy] Data Analyst job in Canalys, (Bengaluru, Karnataka) – Jobs in Bengaluru, Karnataka

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Job Opening details:-
Company Name :-
Position Name :-
Data Analyst
Company Location :-
Bengaluru, Karnataka
Job Category :-
Data Entry jobs

Full Job Description :-
Data Analyst – Bangalore
The Company
Canalys is a leading provider of market analysis and consulting to the converged high-tech industry, its work spanning IT, consumer electronics and telecommunications with a particular strength in channel strategy. Recognized globally, its analysts are respected and influential across such diverse areas as smartphones, smart speakers, wearables, tablets, PCs, unified communications, enterprise security, enterprise networking, data center, and intelligent vehicles.
Canalys has also developed the de facto standard in channel events, the “Canalys Channels Forum”, which takes place each year in the APAC, EMEA and LatAm regions. Together with the online channel community “Candefero,” Canalys has a unique combination of marketing tools enabling IT vendors to communicate with and learn from the channel.
The Canalys brand has become synonymous with quality, timeliness and accessibility among a prestigious client base that includes most of the world’s leading technology brands. Founded in 1998, Canalys has grown rapidly and now has offices in the United Kingdom (Reading), Singapore, China (Shanghai) and the US (Portland).
Canalys are recruiting for a Data Analyst position within the Canalys Global Mobility team. The individual will support our global device tracking products. The individual must be result oriented, hungry to drive the innovation within the service, implement ideas, and work with team members to drive commercial success. The individual will be part of a globally dispersed team, and must be able to manage working with colleagues from around the world.
Qualification and skills required
Skills in building data models and tools in a similar primary or supporting role
Understanding of taking market concepts and building mathematical models from it Good understanding of office application and SQL tools in order to use multi-avenues of data
Knowledge of various software such as Python or R in order to write adequate programs and queries to analyze large data sets from multiple data sources.
Doing shipment data prep work for all upcoming quarterly releases. This would include updating pricing, addressing discontinued models, adding newly introduced models
Clearly understanding and comprehending the problems as laid out by stake holders
Knowledge of various software tools in order to write adequate programs and queries
Logical mindset to build algorithms that help build strong data models
Experience in web scraping or managing web scraping workflow is a plus
The analyst will need to possess good communication skills that will be put to test during conversations internally within Canalys
We are seeking a results oriented individual with more than 4 years relevant background in data analysis, data analytics, and data modelling. The analyst will be responsible for data models, QC & automation tools and other data modules that assist the analyst team in building high quality research products.
Reporting to the Mobility VP the primary responsibilities of this position will include: writing excel/access/SQL macros and queries, data checking and data entry into data system, building iterative tools, predictive models and building custom data market models/dashboards for clients and internal teams within Canalys
The successful applicant will join a global, fast-growing and successful company with a relaxed, but hardworking and client-focused culture. We create a platform for innovation and offer an opportunity to become influential in the market. We operate a close-knit working environment, where everyone is treated with respect.
How to apply
Please send your resume and a cover letter stating in less than 200 words as to why you would make an ideal candidate.
Email the two documents to jobs@canalys.com with the keyword ‘DA2020’ in the subject line.

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