Analyst

Enthusiastic and self-motivated, with ability to lead projects proactively

Meticulous attention to detail, with an overall passion for continuous improvement

Innovative and creative, with a logical and methodical approach to problem solving

Credible and articulate, with excellent communication, presentation, and interpersonal skills

Ability to multi-task and manage competing priorities

Responsibilities

Use statistical methodologies leveraging analytical tools to support different business initiatives

Continual enhancement of statistical techniques and their applications in solving business objectives

Compile and analyze the results from modeling output and translate into actionable insights

Acquire and share deep knowledge of data utilized by the team and its business partners

Participate in global conference calls and meetings as needed and manage multiple customer interfaces

Execute analytics special studies and ad hoc analyses

Evaluate new tools and technologies to improve analytical processes

Set own priorities and timelines to accomplish projects (accountability for project deliverables)

Qualifications

Domain

Various classical Statistical techniques such as Regression, Multivariate Analysis etc.

Data Mining & Text Mining, Time Series based forecasting modeling

Customer Segmentation – Cluster & Factor Analysis

Customer Relationship Management Analytics

Subscription Analytics

Product Analytics

Demand Modeling

Market Research

Statistical Scoring models to be used in Risk/Marketing domains

Market Mix Modeling

Structural equation modeling for identifying accelerators of customer satisfaction and loyalty

Tech Skill

Experience with SQL and data warehousing (e.g. GCP/Hadoop/Teradata/Oracle/DB2)

Experience using tools in BI, ETL, Reporting /Visualization/Dashboards

Programming experience in languages like Java, C, C++, with the understanding of object-oriented programming strongly desired

Experience with multiple Operating systems (e.g., MSDOS, Linux/Unix), and Unix scripting strongly desired

Experience with data handling using SAS, R or Python desired.

Exposure to Bigdata based analytical solutions and hands-on experience with data lakes/ data cleansing/ data management.

Soft Skill

Good Analysis and problem-solving skills.

Ability to get Insights from Data, provide visualization, and story-telling.

Flexibility to explore and work with newer technologies and tools.

Ability to learn quickly, adapt, and set direction when faced with ambiguous scenarios.

Excellent collaborative communication and Team skills

Other Qualification

Candidates should have significant hands-on experience with analytics projects using advanced Statistical / Econometrics / Operation Research / Actuarial or related quantitative techniques across various functions

Candidates will be expected to successfully prioritize and manage multiple analytical projects / ad-hoc requests

Good technical depth with strong analytical/programing skills and ability to apply technical knowledge to do research

R / SAS / Python or other quantitative analysis programming skills

Full time