Position Summary:   The role will include playing an active role in facilitating data usability, data standardisation and user acceptance testing initiatives; development and deployment of standard and non-standard metrics; creating analytical solutions. As a Senior Business Analyst, you will leverage your technical skills, business acumen, and creativity to extract and analyse massive data sets, build analytics-ready datasets to surface insights and key business metrics, contribute to metadata that improves data usability, and much more. The ideal candidate is deeply analytical and detailed-oriented, but capable of thinking independently.   Responsibilities:   Possesses strong analytical/logical thinking and communication skills   Collaborate with the data warehousing team, ensuring that data infrastructure supports the needs of our analytics team and validating data quality   Coordinate with business planners and decision makers to translate business questions into verifiable hypothesis and data models   Develop clear, concise, actionable models and recommendations from mountains of data   Advocate for exploration of interesting data anomalies or patterns that may provide more explanatory detail about customer behaviours or predictive value to the business   Partner closely with business and technical teams to understand their project objectives and provide data-driven solutions and recommendations   Design and develop data preparation components and processes that extract and transform data across disparate databases for reporting and analytics, ensuring integrity of analysis data by developing the requirement specifications and assisting the development and testing of data tables   Ensures solutions are scalable, repeatable, efficient and effective   Interact with onsite team as well as client on daily/weekly basis to gather requirements/provide updates support  Qualifications:   - 1-4 years of database experience with advanced SQL skills; experience researching and manipulating complex and large data sets (both distributed and non-distributed)  - Experience working with complex analytical tools, such as SAS or R  - Proficient in one or more scripting languages, such as Python or Scala   - Experience with data visualisation tools, such as Tableau/Spot fire/Qlikview   - Experience in statistical techniques such as Regression, Clustering & Time Series Forecasting, etc.   - Proven ability to dig-in and understand the data and to leverage creative thinking and problem-solving skills to create new data models   - Strong understanding with data infrastructure, data warehouse, or data engineering   - Coordinate with business planners and decision makers to translate business questions into verifiable data models and hypothesis   - Work with engineers to develop, test, and maintain the accurate tracking, capturing and reporting of key data   - Knows MS Excel & PowerPoint   - Bachelors in Engineering or Masters in Statistics/Economics  Should be fine with attending the face to face interview on Saturday in Bangalore  Call me @9148071285 if any queries  Sabareesh S

Bangalore

Business Analyst/Senior Business Analyst/Data Scientist - Data Analytics 

Job Description for Business Analyst/Senior Business Analyst/Data Scientist - Data Analytics  in Zen Career Contours in  Bangalore for (1-4) years of experience. Apply Now!