Data Analyst

Nxtwave Disruptive Technologies

Posted: Feb. 15, 2024 Openings: 10 Experience: 0-2 Salary: Preferred by Company
Education: Any Graduate Location: Hyderabad
Job Type: Full Time Skills required: Python .net React Native HTML Typescript Communication Skills Power Bi Numpy Pandas Sql

Job description

Why NxtWave

As a data analyst at NxtWave, you

Work with large and complex data sets that help in data-driven decision making
Get to witness the insights you provide translating to actions and the impact it is creating
Work in a great culture that continuously empowers you to grow in your career
Enjoy the freedom to experiment & learn from mistakes (Fail Fast, Learn Faster)
Become a key stakeholder in the transformation journeys of thousands of users

Roles and Responsibilities:

Working with stakeholders to understand the business requirements and measure if the business efforts/activities are aligned with set goals.
Writing queries and building insightful reports/dashboards that could help make informed decisions
Analyzing root causes, identifying and recommending suitable KPIs, and generating actionable insights
Timely delivery of tasks with accuracy and attention to details
Regular reporting to senior data analysts regarding the tasks
Suggesting data collection methods for better analysis
Processing confidential data and information according to guidelines
Upskilling in analytics and data management tools, formulating and documenting best practices

Skills Required:

Knowledge of SQL
Knowledge in any of the visualization tools such as PowerBI, Tableau, Looker Studio etc.
Knowledge in one of the cloud data warehouses such as BigQuery, Snowflake, or Redshift
Proficiency in statistics for analyzing data sets
Data visualization and storytelling skills
Strong analytical skills with attention to detail and accuracy
Having a systematic and logical approach to problem-solving
Willingness to learn additional analytics tools based on requirements
Flexible to extend work hours to deliver the requirements
Alignment to the company's vision and culture
Proficiency in using statistical packages, and machine learning is an added advantage