Data Analyst (SQL Tableau )
Summary
Data analyst in Chennai working a US night shift, servicing clients on analytics and advisory: building scorecards, models, and analytics products using SQL, advanced Excel/VBA, R or Python, and BI tools like Tableau, while leading the analytics team; consumer banking background preferred.
Experience : Min. 3yrs
US Shift (Night Shift )
Key Responsibility Area: ( Specifies Key Result Areas for the Incumbent )
o Overall responsibility for servicing clients on Analytics/Advisory and managing the analytics team.
o Hands on advanced knowledge of analytical techniques, advanced knowledge of SQL or other structured language, advanced knowledge of Excel. o Design and develop analytics products and services.
o Works closely with the Client(s) on scorecards, advisory and modeling.
o Develop models and use analytics for refined data capturing and analysis.
o Provide leadership to the analytics team and assist the leadership to deliver results, business goals and commitments.
o Financial Services/ Consumer banking business(preferred) - with extensive analytics orientation.
o Work on processes to continuously update rules/procedures to optimize results & manage day-today activities with the team.
o Support various special project assignments.
Eligibility Criteria: (Skill set required to do the job- Knowledge, Tools, Technical Knowledge, Certifications etc.)
o Proven track record with database languages (e.g., SQL) and statistical software (e.g., ‘R’, Python), and visualization tools (e.g., Tableau, PowerBI, QlikView).
o Well versed with MS Excel – advanced & VBA.
o Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.
o Good to have conceptual or working knowledge of Machine Learning & AI, cloud platforms (e.g. AWS, GCP, Azure) BEHAVIORAL SKILLS: (Attitude, Aptitude and Abilities)
o Experience articulating and translating business questions to analytical solutions.
o Ability to handle and structure analysis independently.
o Comfortable with numerical and quantitative calculations and analysis.
o Excellent attention to details, high output accuracy and out-of-box thinking to bring in innovative approaches to problems/issues in data processing. o Excellent verbal and written