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Data Analyst/Scientist

No of Positions  No of Positions:   2

location Location: REMOTE

date Tentative Start Date:   November 30, 2023

Work From Work From : Offsite

rate Rate : $ 8  -  9 (Hourly)

experience Experience : 4 to 6 Year

Job Applicants : 14
Job Views : 528
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Job Category : Information Technology & Services
Duration : 6-12  Month
Key Skills Required Skills
GIS ARCGIS ESRI MS SQL PYTHON TALEND Geospatial data
Description

Job Description: Data Analyst/Scientist/Engineer Location: Permanent WFH/ Remote

Duration: 3 months with possibility of extension Experience: 4+ Years Mandatory Technology: GIS, ArcGIS, ESRI, MS SQL. Python, Geospatial data from GIS, Talend Key Roles and Responsibilities:

 The ideal candidate for this role should possess a profound and comprehensive understanding, coupled with demonstrated expertise, in effectively handling geospatial data derived from GIS systems.

 This entails not only a theoretical knowledge but also practical experience in navigating the intricacies of GIS datasets. Additionally, the candidate is expected to exhibit a strong analytical acumen, showcasing the ability to conduct in-depth analyses, implement transformative processes, and create visually compelling representations of geospatial data.

 Proficiency in Python is considered a fundamental requirement for this position, as the candidate will be expected to utilize Python programming skills to streamline and enhance various aspects of geospatial data processing and manipulation. This proficiency ensures a dynamic and efficient approach to working with diverse datasets.

 Moreover, candidates are required to have hands-on experience with System Databases, with a specific emphasis on expertise in MS SQL. This involves a nuanced understanding of database management, query optimization, and overall proficiency in leveraging MS SQL for effective data storage and retrieval.

 In summary, the candidate sought after for this role is one with a holistic understanding of geospatial data, a demonstrated ability to analyze and transform such data, proficiency in Python for efficient programming, and practical experience with System Databases, specifically within the MS SQL environment

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