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Data Engineer

No of Positions  No of Positions:   2

location Location: Jaipur

date Tentative Start Date:   January 30, 2024

Work From Work From : Onsite

rate Rate : $ 6  -  9 (Hourly)

experience Experience : 3 to 4 Year

Job Applicants : 0
Job Views : 155
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Job Category : Information Technology & Services
Duration : 3-6  Month
Key Skills Required Skills
Python SQL data management data manipulation and analysis
Description

Key Skills:

  • Proficient in writing complex queries for data extraction, transformation, and loading.
  • Strong programming skills for data manipulation and analysis.
  • Extensive experience in storing, processing, and querying large datasets.
  • In-depth knowledge of Ecommerce business processes, metrics such as CTR, CVR, Visits, Bounce, and familiarity with the industry trends.
  • Ability to optimize queries and data structures for improved performance.
  • Expertise in preparing and cleaning data for analysis.
  • Proven track record of conducting comprehensive data analysis and exploration.
  • Familiarity with statistical methods for drawing meaningful insights.
  • Proficient in creating compelling visualizations to communicate data insights effectively.
  • Experience in developing dashboards and reports for key stakeholders.
  • Strong written and verbal communication skills to convey complex data findings to non-technical stakeholders.
  • Ability to identify and solve complex data-related problems independently.

Experience:

Minimum 3+ years of experience in creating complex queries for Ecommerce businesses.

  • Proven track record of working with large datasets and providing actionable insights.
  • Hands-on experience in optimizing queries and data structures for performance improvement.
  • Previous exposure to statistical analysis and data-driven decision-making processes.
  • Familiarity with Ecommerce metrics and analytics.

Role and Responsibilities:

  • Data cleaning and preparation for analysis.
  • Conducting in-depth data analysis and exploration to derive actionable insights.
  • Utilizing statistical methods to enhance the understanding of business trends and performance.
  • Creating data visualizations to effectively communicate findings to stakeholders.
  • Developing dashboards and reports for key business metrics.
  • Collaborating with cross-functional teams to understand data requirements and provide analytical support.
  • Staying updated on industry trends and incorporating best practices into data analysis processes.
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