Jobs for Data Analyst at Data Knobs | Well Managed data

DataKnobs is a startup building new data products using generated AI. Our mission is to make data useful and usable. Our solution enable protecting data, anonymizing data, and sharing data with knobs. We enable customers to build data products in well-governed and efficient manner.

Why Join Us

You can make an immediate impact at DataKnobs. We lead with curiosity and aim for the highest and embrace ambiguity as it comes. Join us and make an impact happen with a career at Dataknobs.

Role : Data Analyst

Work location: India (Remote)

Responsibilities:

Responsible for building ChatGPT, BARD and language model prompts and generate output

Able to build & use text processing methods

Analyze text data, embeddings: Identify quality issues

Able to use regex

Collaborate with engineering team to bring analytical prototypes to production

Generate actionable insights for business improvements

You will leverage your strong collaboration skills and ability to extract valuable insights from highly complex data sets to ask the right questions and find the right answers.

Qualifications

Bachelor's degree or equivalent experience

At least 1 - 2 years' of experience in data analysis, NLP data analysis

Understanding of NLP, embeddings, database and ML approaches

Fluency in a programming language (Python, SQL).

Familiarity with Big Data frameworks and visualization tools (Cassandra, Hadoop, Spark, Tableau)

Preferred Qualifications:

Hands-on experience in one or more of the following areas: Excel, Google Sheets, Tableau, Looker, Power BI .

Strong analysis skills, especially in Python/Java/Go. Knowledge of Cloud..

Familiarity with online experimentation, ab-testing and analytics.

In this position, you will be working with talented machine learning engineers, web developers and data engineers.

DataKnobs is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our mission is to make data useful and usable. To achieve that goal, we are committed to data security, data privacy and data sharing principles. We build capabilities

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