Senior Analytics Engineer

Industry: Manufacturing

Remote

Company size: 10K+

Full-time/Part-time

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Job description

A well-established U.S.-based company that is building world-class transportation services with their range of electric vehicles, is looking for a Senior Analytics Engineer. The engineer will be responsible for converting data insights into practical suggestions for improving business strategy, decision-making, and performance. The NASDAQ-listed company is enabling users to reduce their carbon footprint with their revolutionary products and technologies. This position requires 5-6+ hours of overlap with the PST time zone. The company has successfully managed to secure more than $11.8bn in funding.

Job Responsibilities:

Improve data access for analytics applications by streamlining data queries, processes, and performance
Work together with stakeholders to translate business requirements into solid data analytics solutions and architectures by first understanding what those requirements are
Create intricate data pipelines, ETL procedures, and data models that support business objectives and analytical requirements
To effectively extract, transform, and load data from diverse sources into data warehouses or analytical platforms, develop, deploy, and maintain ETL processes
Throughout the ETL process, make sure data quality, integrity, and consistency
Discover insights and trends in massive datasets by performing advanced data analysis, data mining, and statistical analysis
Utilize predictive modeling and machine learning to tackle complicated business problems
To successfully communicate insights and trends to stakeholders who are not technically savvy, create complex data visualizations and dashboards
Use data visualization tools to create dynamic and useful reports (such as Tableau and Power BI)
Deliver comprehensive analytics solutions by working with cross-functional teams that include data scientists, business analysts, and data engineers
Processes for collecting data, procedures, and analytical approaches should be documented for knowledge exchange and future use
Find ways to automate, optimize, and improve procedures to increase the efficacy and efficiency of analytics activities
Concurrently manage and assign priority to a number of analytics projects to guarantee timely delivery and alignment with business requirements
Identify and fix performance problems in data pipelines and processing.
Instruct and mentor less experienced members of the analytics team on technical abilities and best practices

Job Requirements:

Bachelor’s/Master’s degree in Engineering, Computer Science (or equivalent experience)
At least 5+ years of relevant experience as an Analytics Engineer
Demonstrable experience working with Data Analytics and Data Engineering
Prolific experience with Amazon S3, Amazon Redshift, and Python for Data Science
Some understanding of Tableau, Power BI, SQL, Databricks, and Snowflake is desirable
Excellent spoken and written English communication skills

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Frequently Asked Questions

What is Turing?

We are a Palo Alto-based 'deep' jobs platform allowing talented software developers to work with top US firms from the comfort of their homes. We are led by Stanford alumni and successful A.I. entrepreneurs Jonathan Siddharth and Vijay Krishnan.

How many rounds do I need to clear before selection?

After uploading your resume, you will have to go through the three tests -- seniority assessment, tech stack test, and live coding challenge. Once you clear these tests, you are eligible to apply to a wide range of jobs available based on your skills.

How is Turing different from other remote based job providers?

It is the combination of our core business model and values that makes us different from others. We provide full-time, long-term projects to remote developers whereas most of our competitors offer more freelance jobs.

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We, at Turing, hire remote developers for over 100 skills like React/Node, Python, Angular, Swift, React Native, Android, Java, Rails, Golang, PHP, Vue, among several others. We also hire engineers based on tech roles and seniority.

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Communication is crucial for success while working with American clients. We prefer candidates with a B1 level of English i.e. those who have the necessary fluency to communicate without effort with our clients and native speakers.

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