Job Description: 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.
In a nutshell:
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.
What will you do?
• 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