Jumbotail is hiring for freshers as Data Support Analyst
- Company Name
- JumboTail
- Company Website
- http://JumboTail.com
- Experience
- 0-2 years
- Job Role
- Data Support Analyst
- Job Type
-
- Fresher
- Experienced
- Job Location
-
- Bengaluru/Bangalore
- Skills
-
- Oracle PL/SQL
- SQL
- Education
-
- Graduate
- BE/BTech
- Branch
-
- Aerospace Engineer
- Electromechanics Engineering
- Thermal Engineering
- MBA
- Industrial Engineer
- Automobile Engineering
- Electrical and Electronics Engineering
- Production Engineering
- Mechatronics
- Chemical
- Mining
- Civil
- Metallurgy
- Electronics and Communication Engineering
- Automation / Instrumentation
- Electrical Engineering
- Electronics and Telecommunication
- IT
- CS
- Mechanical Engineering
Eligibility Criteria
- A bachelors degree in Engineering, Mathematics, Statistics, or other quantitative disciplines
- Min 0-2 years experience working with large data sets, with good understanding of data infrastructure - pipelines and platforms, visualization layers..
- Thorough knowledge of SQL
- An analytical mind and inclination for problem-solving, with strong attention to detail
- Ability to draw conclusions from data and recommend actions. Willingness to self learn new techniques and achieve results
- Excellent written and verbal presentation skills.
- High energy and a desire to work in a results-oriented, fast growth cross functional environment.
- A team player, with great stakeholder management skills, and a passion to collaborate, and deliver results.
- Ability to work in a fast paced and challenging environment of an early stage
Job Description
- Interface with the Engineering Team to get an understanding of data platforms, organization of data, instrumentation systems, and relations between entities.
- Build and maintain robust data stores, BI layers, and reporting/visualization layers by organizing the underlying raw data, creating fact tables, ensuring the presentation/visualization layer is efficient, accurate, and has low latency.
- Build systems and processes to maintain consistency of data in data stores/tables with source/production databases, and work with engineering teams to resolve issues on consistency, accuracy
- Develop a thorough understanding of product analytics tools and data pipeline, and help the product and tech team with right data instrumentation frameworks, and data platforms.
- Create appropriate knowledge base and documentation about data stores, tables, business insights, and publish reports centrally so that all stakeholders can understand the data, and help reduce duplicate work where possible.
- Build and maintain dashboards and data visualization on company and domain key metrics, user funnels, transactions, and other metrics that are required to track the health and performance of the business.
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