As the Orchestration Analyst, you will play a crucial role in driving data-driven decision-making processes and optimizing business performance in the Global Business Services (GBS) space. Your responsibilities will include developing and maintaining global reports, performing data quality checks, and supporting ad-hoc analyses. You should have a strong technical background in data visualization, SQL, and tools such as Alteryx. You will be responsible for gathering, analyzing, and visualizing data from various sources to provide valuable insights and support strategic initiatives across the organization. Additionally, you will focus on improving and automating analytic processes to enhance efficiency and accuracy.

Location:

• Pune

  
  
  

What’s in it for you:

• The opportunity to take on some of the world’s most meaningful challenges, helping customers achieve clean water, safe food, and healthy environments

  
  
  

• The ability to make an impact and shape your career with a company that is passionate about growth

  
  
  

• The support of an organization that believes it is vital to include and engage diverse people, perspectives, and ideas to achieve our best

  
  
  

• Be part of an outstanding team with relentless focus on improvement and exceeding our customers’ expectations

  
  
  

What You Will Do:

Data Management and Analysis:

• Utilize Power BI and ThoughtSpot to develop interactive and visually compelling reports and dashboards that enable stakeholders to make informed decisions

  
  
  

• Perform data mining and modeling tasks using SQL and Python, uncovering hidden opportunities and providing insights into business performance

  
  
  

• Conduct data quality checks and support day-to-day analytic needs

  
  
  

• Continuously seek opportunities to enhance data analysis processes, tools, and methodologies

  
  
  

Communication and Collaboration:

• Communicate complex data findings to non-technical audiences through intuitive visualizations

  
  
  

• Collaborate with cross-functional teams to drive data-driven decision-making

  
  
  

Process Improvement and Automation:

• Implement and manage analytic process improvements and automation using tools such as Alteryx

  
  
  

• Stay updated with the latest trends and advancements in data analytics, business intelligence, and data visualization tools

  
  
  

Minimum Qualifications:

• Bachelor's degree in Computer Science, Statistics, Mathematics, Finance, or a related field

  
  
  

• Proven experience as a Data Analyst or in a similar analytical role

  
  
  

• Excellent analytical and problem-solving skills with a keen attention to detail

  
  
  

• Strong communication skills to effectively convey insights to both technical and non-technical stakeholders across multiple functions

  
  
  

Preferred Qualifications:

• Proficiency in data analysis and visualization tools such as Power BI and ThoughtSpot

  
  
  

• Proficiency in SQL, with the ability to write queries, transform, blend, and manipulate data from databases

  
  
  

• Experience with Alteryx, or similar tools, for analytic process improvement and automation is preferred

  
  
  

• Ability to work independently and collaborate effectively in a team-oriented environment

  
  
  

Tools:

• Power BI/ThoughtSpot, basic SQL, Alteryx  

  
  
  

Our Commitment to a Culture of Inclusion & Belonging
Ecolab is committed to fair and equal treatment of associates and applicants and furthering the principles of Equal Opportunity to Employment. We will recruit, hire, promote, transfer and provide opportunities for advancement based on individual qualifications and job performance in all matters affecting employment, compensation, benefits, working conditions, and opportunities for advancement. Ecolab will not discriminate against any associate or applicant for employment because of race, religion, color, creed, national origin,citizenship status, sex, sexual orientation, gender identity and expressions, genetic information, marital status, age, or disability.