As a Manager for Consulting, you will work towards advising our clients and internal teams on the analytical projects we undertake as well as actively participate in the sales process, working alongside the sales team.
As an individual contributor, you will leverage your technical skills, business acumen and creativity to analyze business problems, build collaterals to support the sales call, do market research on the new leads, build point of views for the problems statements and execute proof of concepts and pilots.
The ideal candidate is deeply analytical and detailed-oriented and capable of thinking independently.
THE IDEAL CANDIDATE WILL
Be involved in the development of the company through pre-sales / operational support
Develop clear, concise, actionable solutions and recommendations for Client’s business needs
Coordinate with decision makers to translate business questions into verifiable hypothesis and data models
Actively explore the client’s business and formulate solution ideas that can improve process efficiency and cut cost, or achieve growth / revenue / profitability targets faster
Partner closely with the business and technical teams of the client to understand their project objective and coordinate effectively with delivery teams of Tredence to provide data-driven solutions and recommendations
Work with engineers to develop, test, and maintain the accurate tracking, capturing and reporting of key data
Ensure solutions are scalable, reusable, efficient and effective
Work hands-on across various analytics problems and provide thought leadership on problems that we are working on
Interact with onsite sales team as well as client on daily / weekly basis to gather requirements / provide updates
Bachelor in IT / Computers / EE or related fields; MBA is a plus
5-8 years of analytics delivery experience
Experience researching and manipulating complex and large data sets
Possesses strong analytical / logical thinking, storyboarding and executive communication skills
Nice to Have :
Proficient in one or more scripting languages, such as Python or Scala
Experience working with complex analytical tools, such as SAS or R
Experience with data visualization tools, such as Tableau / Spot fire / Qlikview
Experience in statistical techniques such as Regression, Clustering & Time Series Forecasting, etc.
Strong understanding of data infrastructure, data warehouse, or data engineering