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Fresher years
Not Disclosed
10 May 20, 2025
Job Description
Job Type: Education: B.Sc/ M.Sc/ B.E/ M.E./ B.Com/ M.Com/ BBA/ MBA/B.Tech/ M.Tech/ All Graduates Skills: Python, .net, React Native, Django, Javascript, HTML, CSS, Typescript, Communication Skills, Power Bi, Numpy Pandas, Sql, machine learning, Data Analysis, Coimbatore, Data Science, Java, Adobe XD, Figma, php, wordpress, Artificial Intelligence, Excel

Job Title: Junior Data Analyst

Domain: Sensor Data Analysis & Visualization
Location: Noida 
Industry: Engineering / Analytics / IoT


Job Objective

To analyze datasets collected from various sensors such as pressure sensors, inertial accelerometers, GPS units, and audio sensors, identify patterns/trends, and report actionable insights using custom tools and visualization techniques.


Key Responsibilities

  1. Work with data analysis programs using proprietary/custom tools provided by the company.

  2. Interpret and analyze sensor data from various sources (pressure, acceleration, GPS, audio).

  3. Develop informative visualizations such as line graphs, scatter plots, and histograms.

  4. Identify trends and patterns in large, complex datasets.

  5. Highlight significant insights through data-driven storytelling.

  6. Present analysis results clearly to team members and stakeholders.


Required Skillset

  1. Strong foundation in data analysis principles and statistical methods.

  2. Interest in and ability to work with sensor-generated data.

  3. Proficiency in data visualization techniques and tools.

  4. Ability to work independently with minimal supervision.

  5. Strong collaboration and team player mindset.

  6. Eagerness to learn and grow in a data-driven environment.


Required Qualifications

  1. Education: Bachelor’s degree in Engineering, Computer Science, Statistics, Mathematics, or a related field.

  2. Sensor Knowledge: Basic understanding of how sensors function and the data they produce (e.g., GPS, accelerometer, pressure, audio).

  3. Analytical Thinking: Capable of identifying meaningful trends, outliers, and patterns in data.

  4. Communication: Strong verbal and written communication skills; able to present insights via reports and visualizations.

  5. Experience: Internship or academic projects involving sensor data or analytical work are a plus but not mandatory.

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