Sr. Data Analyst

2022-10-14 | po-021184

Company description

A global powerhouse in BPO, this firm delivers solutions and services across various industries from Automotive to Banking and Finance to E-Commerce.

Responsibilities

Data Analyst is expected to utilize their analytical, statistical and programming skills to collect, analyze and interpret large data sets to find the business insight and propose actions for performance improvement. The role may also involve catering to ad hoc reporting requests from the Business teams as well as attending the discussion and proposal to our client of the analytics opportunity

Key Role & Responsibilities

Work with stakeholders throughout the organization/clients to identify opportunities for leveraging company data to drive business solutions
Formulate Business problems, identify data sources & model and do Data Analysis
Understands the Data Extraction, Cleansing, Consolidation and Loading into databases or data marts.
Optimize the data preparation & data analysis scripts with respect to data access methods, access performance, storage, data integrity, system performance & system availability
Use descriptive / predictive modeling to increase and optimize customer experiences, revenue generation, improve churn rate and other business outcomes
Create presentation on the insights generated and present to the client teams
Onsite – offshore co-ordination for the data preparation and data analysis related activities (Collaboration with Concentrix global analytics team if need)
Timely delivery of the project.
Ensure high quality deliverables and smooth day-to-day operations of projects
Document any identified required changes and communicate them to the relevant third parties/colleagues.

Requirements

Professional Experience

5 – 7 years
Experience and familiarity with Customer lifecycle/ customer strategy/ in any domain
Experienced in Customer Analytics projects is highly preferred
Insurance & Banking domain experience is preferred
Experience in client management

Technical Skills

Hands-on experience in basic programming language like SQL, R
Hand-on experience using business intelligence tools (e.g. SPSS, SAS, Python etc.)
Strong math skills (e.g. statistics, algebra)
Proficient in MS Office suite of applications

Project Specific Skills

Hands on experience in creating database structures for data consolidation tasks is required
Hands-on experience in data handling and data mining tools like SAS, SPSS, Python will be required
Experience in statistical and data analysis in one or more of the following areas is preferred
Data analytics with familiarity in quantitative techniques like logistic regression, decision trees, linear regression, segmentation etc.
Identifying and defining KPIs to track results, performance of operations, etc.
Experience on Managing the project – Schedule, cost, and communication with stakeholder etc.

Soft Skill Required

Critical Thinking Skills – evaluating multiple options before helping a team settle on a solution
Strong communication and validation skills. Able to iterate through the requirements in phases.
Enable in alignment with business sponsor, stakeholders, and management.
Native level frequency in Japanese and Proficiency in English (TOEIC +700 or equivalent)