Salary Range
15-20 lakhs per annum
Currency
INR
Overview
Position Summary:
You will be handling a team and will be part of the Data Science team working across cross-functional
groups supporting strategic business decisions with insight into OUR lines of service, customers and
products. The role will include playing an active role in facilitating data usability, data standardisation
and user acceptance testing initiatives; development and deployment of standard and non-standard
metrics; creating analytical solutions.
You will leverage your technical skills, business acumen, and creativity to extract and analyse massive
data sets, build analytics-ready datasets to surface insights and key business metrics, contribute to
metadata that improves data usability, and much more. The ideal candidate is deeply analytical and
detailed-oriented, but capable of thinking independently and people oriented.
Responsibilities:
Possesses strong analytical/logical thinking and communication skills
Collaborate with the data warehousing team, ensuring that data infrastructure supports the needs of OUR analytics team and validating data quality
Coordinate with business planners and decision makers to translate business questions into verifiable hypothesis and data models
Develop clear, concise, actionable models and recommendations from mountains of data
Advocate for exploration of interesting data anomalies or patterns that may provide more explanatory detail about customer behaviours or predictive value to the business
Partner closely with business and technical teams to understand their project objectives and provide data-driven solutions and recommendations
Design and develop data preparation components and processes that extract and transform data across disparate databases for reporting and analytics, ensuring integrity of analysis data by developing the requirement specifications and assisting the development and testing of data tables
Ensures solutions are scalable, repeatable, efficient and effective
Work hands-on on various analytics problems and provide thought leadership on problems that we are working on
Interact with onsite team as well as client on daily/weekly basis to gather requirements/provide updates
Be involved in the development of the company through pre-sales/operational support
Qualifications:
6-8 years of database experience with advanced SQL skills; experience researching and manipulating complex and large data sets (both distributed and non-distributed) should have experience towards leading team
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 visualisation tools, such as Tableau/Spot fire/Qlikview
Experience in statistical techniques such as Regression, Clustering & Time Series Forecasting, etc.
Proven ability to dig-in and understand the data and to leverage creative thinking and problem-solving skills to create new data models
Strong understanding with data infrastructure, data warehouse, or data engineering
Coordinate with business planners and decision makers to translate business questions into verifiable data models and hypothesis
Work with engineers to develop, test, and maintain the accurate tracking, capturing and reporting of key data
