Data Analyst Role

1 day ago

Bengaluru, Karnataka, India beBeeDataAnalyst Full time ₹ 1,00,00,000 - ₹ 2,00,00,000

Job opportunity

Data Analyst Position

This role involves working on a combination of hands-on contributions to various projects. Your work will entail:

  • Analytical Translation: Translate complex business problems into sophisticated analytical structures, conceptualising solutions anchored in statistical and machine learning methodologies.
  • Problem Solving: Apply technical proficiency in data manipulation, statistical modelling, and machine learning to solve real-world business challenges.
  • Client Engagement: Establish a deep understanding of clients' business contexts, working closely to unravel intricate challenges and opportunities.
  • Algorithmic Expertise: Develop and refine algorithms and models, sculpting them into powerful tools to surmount intricate business challenges.
  • Quantitative Mastery: Conduct in-depth quantitative analyses, navigating vast datasets to extract meaningful insights that drive informed decision-making.
  • Cross-Functional Collaboration: Collaborate seamlessly with multiple teams, including Consulting and Engineering, fostering relationships with diverse stakeholders to meet deadlines and bring Analytical Solutions to life.

Our ideal candidate has:

  • 4-10 years of Relevant Data Science Experience, with demonstrated proficiency and hands-on experience navigating data science complexities.
  • Mandatory: Minimum 2+ years of experience in the Banking and Financial services industry.
  • Good communication skills, both verbal and written.
  • Exhibit a fervour for crafting modular, scalable, and bug-free Python code.
  • Comfortable in SQL with additional proficiency in office tools like Excel & PowerPoint.
  • Experience in production engineering best practices (e.g. Git versioning, Docker).
  • Familiarity or experience with working on large data sets and distributed computing (e.g. Hive, Hadoop, Spark)
  • Working knowledge of Cloud platforms (e.g. AWS, Azure, GCP).
  • Excitement to collaborate with diverse stakeholders across the organisation.
  • In-depth understanding of various data science approaches, machine learning algorithms, and statistical methods.
  • Hunger to learn new technologies and embrace the change.
  • Proficiency in foundational concepts and algorithms in machine learning, encompassing regression and classification techniques, and a keen awareness of their assumptions, strengths, and limitations.
  • Must-Have Skills: Regression/Classification/Optimization/ Python Proficiency in these key skills is crucial to thriving in this role.

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