Manager - Data Analytics

Bengaluru, India

Applications have closed

Sutherland

Sutherland is a business process transformation company that rethinks & rebuilds business processes for the digital age. Learn more here.

View company page

Company Description

At Sutherland, we create exceptionally engineered brand experiences that are a perfect match for the real people (and real moments) they're made for. We do that by combining human-centered design with the scale & accuracy of real-time analytics, AI, cognitive technology and automation.

Job Description

Roles & Responsibilities

  • strong knowledge & experience of database structure & data mining
  • Excellent organizational & analytics abilities
  • strong Exp in Data modeling & design
  • Hands on exp in sql
  • exp in configuring data quality rules
  • exp with audit trails showing all changes & approvals for key dimensions
  • exp in data warehouse design
  • exp with multiple ETL tools
  • exp in writing complex SQL queries
  • work experience of design / data warehouse implementation /migration & BI projects
  • exp in data governance & data security
  • exp in master data management
  • logical thinker

Qualifications

Total 12+ years of relevant working experience Experience/Needs:

·       Graduation from Tier 1 and Tier 2 Colleges preferred

·       Exposure into Project management, guiding the team, training the resources is an added advantage 

·       Strong communication skills and the ability to communicate highly complex information in clear and simple language.

 

 

Additional Information

All your information will be kept confidential according to EEO guidelines.

* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: Data Analytics Data governance Data management Data Mining Data quality Data warehouse ETL Security SQL

Region: Asia/Pacific
Country: India
Job stats:  3  1  0

More jobs like this

Explore more AI, ML, Data Science career opportunities

Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.