Automation and Analytics Specialist

3 weeks ago

Noida, Uttar Pradesh, India EXL Full time

Introduction:

We are seeking a talented individual to join our team as an Automation and Analytics Specialist. This role will focus on developing automated processes and using data analytics / data science to improve business operations. You will be responsible for collecting, analyzing, and visualizing data, as well as developing and maintaining automated workflows. This role requires strong analytical skills, programming experience, and an understanding of automation techniques.

Key Responsibilities

  • Data Collection and Analysis:
  • Gather data from various sources (databases, APIs, etc.).
  • Clean, transform, and prepare data for analysis.
  • Conduct exploratory data analysis (EDA) to identify patterns and insights.
  • Develop reports and visualizations to communicate findings.
  • Automation Development:
  • Identify and implement process improvements through automation.
  • Develop and maintain automated business processes, including reporting and forecasting tools.
  • Utilize automation tools like Python scripting, RPA, or other suitable technologies.
  • Data Modeling and Analytics:
  • Build and test statistical models to analyze data and make predictions.
  • Leverage techniques such as AI / ML/ Gen AI / agentic AI to create relevant solutions for the business
  • Develop and maintain data pipelines for efficient data processing.
  • Provide insights and recommendations based on data analysis.
  • Collaboration and Communication:
  • Work with stakeholders to understand data needs and provide technical solutions.
  • Communicate findings and recommendations to both technical and non-technical audiences.

Essential Skills:

  • Bachelor's degree in a relevant field (e.g., statistics, data science, computer science, engineering), or equivalent experience.
  • 5+ years' experience working on and delivering projects using automation, analytics, data science techniques
  • Programming: Proficiency in programming languages like Python or SQL is highly desirable.
  • Data Analysis: Strong analytical skills and experience with data analysis techniques.
  • Data Visualization: Ability to create clear and insightful visualizations of data.
  • Automation: Understanding of automation concepts and experience with relevant tools.
  • Problem-Solving: Ability to identify and solve problems using data and analytical techniques.

Desired Skills:

  • AI / ML: Experience working with AI / ML algorithms and techniques, Gen AI, agentic AI.
  • Data Warehousing: Experience with data warehousing technologies and platforms.
  • Business Acumen: Understanding of business processes and how data can be used to improve decision-making.

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