Data Analyst

1 day ago


Ajmer, Rajasthan, India beBeeDataAnalyst Full time ₹ 15,00,000 - ₹ 20,10,000
Job Opportunity

We are seeking a highly skilled and motivated Data Analyst with over 5 years of experience in applying advanced data analysis techniques to real-world problems.

The ideal candidate will possess deep technical expertise, business acumen, and the ability to work independently and collaboratively in a fast-paced environment. Prior exposure to machine learning models and big data ecosystems is essential.

Key Responsibilities:
  • Act as a data analyst for data handling, extraction, manipulation; creating structured form of data and pulling tangible insights from data.
  • Use statistical modeling, data visualization, and other data analysis techniques to explore data and to answer specific research questions.
  • Design, develop, and implement end-to-end data analysis solutions using structured and unstructured data.
  • Take inputs from the manager/consultant to develop statistical models (predictive modeling, forecasting etc.) and apply appropriate techniques such as exploratory analysis, regression, and association etc.
  • Develop executive presentations to present analytical insights derived from the data analysis.
  • Flexible to work on any problem statement in the space of data science (data mining, predictive analytics & maintenance etc.).
  • Must have a business problem understanding specifically from the domain of automobile, manufacturing, e-commerce, aviation & digital things.
  • Ability to deal well with ambiguity and act with autonomy.
  • Collaborate with the team in order to improve the effectiveness of computational models through the use of data and feedback from stakeholders.
  • Support development of machine learning models with guidance from more senior co-workers.
  • Support and mentor junior data science team members, as needed.
Required Skills & Qualifications:
  • 5+ years of experience as a data scientist or ml engineer, working on real-world ai/ml projects.
  • Strong expertise in machine learning, deep learning, nlp, and computer vision techniques.
  • Hands-on experience with generative ai models (llms, vlm's, mllms), and an understanding of multi-modal neural networks and transformer architectures.
  • Proficiency in python, r, and key ml/dl libraries (scikit-learn, pandas, tensorflow, pytorch, etc.).
  • Strong knowledge of sql-based and nosql databases (mysql, postgresql, oracle, mongodb).
  • Experience with statistical tools and platforms like weka, knime, power bi, etc.
  • Working experience with big data technologies – hdfs, spark, hive, sqoop, mapreduce.
  • Good understanding of cloud platforms (aws, azure, or gcp) – any hands-on experience is a plus.
  • Excellent analytical, problem-solving, and communication skills.
  • Domain experience in automotive, manufacturing, e-commerce, aviation, or digital platforms is highly desirable.
  • Ability to work both independently and within a team setting with a proactive mindset.
Preferred Qualifications:
  • Education: A bachelor's degree in computer science, computer engineering, information technology, or a related field is typically the minimum requirement. Preferred a master's degree in data science, or a related field for advanced roles.
  • Experience: Data scientist requires 5+ years of experience in related fields such as database administration, data engineering, programming and data analytics.

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