Senior Analytics Specialist

Zenon Analytics is a global boutique consulting firm and the leading AI partner for Fortune 

500 firms. We partner with clients across the globe to identify their highest-value 

opportunities, address their most critical challenges, and transform their enterprises using 

advanced analytics.

A Senior Analytics Specialist at Zenon Analytics is responsible for analysing data and 

deriving actionable insights for timely decision making by our clients. A person in this role will 

be responsible for client engagements, understanding client requirements, problem 

structuring, extracting requisite data, performing extensive data analyses and building 

statistical & predictive models.

The ideal candidate should have exceptional coding skills (Python/R), strong analytical skills

including theoretical and practical knowledge of machine learning algorithms. The ideal 

candidate should also possess excellent soft skills to support client engagements.

They will work closely with highly experienced leaders in designing, developing and 

implementing cutting-edge analytics solutions for a variety of business problems.

• Engage with clients to understand their business needs from an analytical standpoint 

and accordingly define the problem statement(s) to focus on. 

• Understand the data requirements to solve the problem and perform exhaustive 

exploratory analyses

• Building statistical and/or predictive models on the data to assist in better business 

decision making

• Test the performance of the models and deploy them into production by closely 

working with the client teams

• Prepare client deliverables, followed by engaging with the clients to discuss results 

and recommendations 

• Bring in analytical expertise to assist with Business Development proposals

What are we looking for?

• Strong academic background, preferably from Tier I institutes with a major in 

Engineering/Mathematics/Statistics

• Good programming experience R, Python, SQL

• 2 – 3 years of experience in data analytics with practical exposure to building 

predictive models

• Interested in machine learning model development 

• Self learner with good problem solving skills

• Ability to work in a systematic manner with focus on quality of work and efficiency

• Strong communication skills 

• Understanding of the financial domain will be a plus