Senior Analyst Role and responsibilities:
- Understand business problem and requirements by building domain knowledge and translate to data science problem.
- Conceptualize and design cutting edge data science solution to solve the data science problem, apply design-thinking concepts.
- Identify the right algorithms, tech stack, sample outputs required to efficiently adder the end need.
- Prototype and experiment the solution to successfully demonstrate the value.
- Independently or with support from team, execute the conceptualized solution as per plan by following project management guidelines.
- Present the results to internal and client stakeholder in an easy to understand manner with great story telling, story boarding, insights and visualization.
- Help build overall data science capability for eClerx through support in pilots, pre sales pitches, product development, and practice development initiatives.
Technical and Functional Skills:
- Bachelor's degree in Computer Science with 4+ years of work experience.
- Must have experience in Advance Analytics, Data Science, regression, forecasting, analytics, SQL, R, python, decision tree, random forest, SAS, clustering classification.
- Ability to engage clients to understand business requirements and convert the same into technical/modelling problems for solution development.
- Demonstrate strong interpersonal skills and a comfort interacting with clients from the C-suite to marketing managers to technical specialists.
- Demonstrated knowledge of analytical/statistical techniques and their applications; a working knowledge of/experience in R and Python is a plus.
- Demonstrated excellent communications skills, both written and spoken, as well as being able to explain complex technical concepts in plain English.
- Ability to present results of statistical models in business language.
- Domain understanding of at least one preferably two verticals amongst Retail, Cable, Technology (not mandate).
- Knowledge of data visualization tools (Tableau, QlikView, etc.) is a plus.
- Demonstrate strong analytical and storytelling skills and the ability to find relevant stories from piles of reports.
- Ability to manage specific tasks to completion with minimal direction.
- Ideal candidate has been in a consulting role previously.
- Hands-on expertise on the applied statistical techniques including multi-variate regression, logistic regression, market-mix models, clustering, classification, survival, churn models, speech analytics, image analytics, etc.
- Ability to collaborate with onsite colleagues in the US & UK.
- Expert in handling large data, cleansing & preparation for modelling.
- Very high attention to detail and quality.
