Data Analyst zSenior-42-2
Internship Bangalore (Bangalore Urban)
Job description
Basic Vacancy Information
Vacancy Title
Senior – Data Analyst
Work Country
India
Vacancy Type
Permanent
Business Unit
GDS Advisory Bangalore
Company
Ernst & Young
Department Name
Data and Analytics
Specific Location Details
Bangalore
Employment Type
Permanent - Full Time
Proposed Start Date
Immediate to 30/60 days is preferred
Work Details
Company profile:
EY's Advisory Services is a unique, industry-focused business unit that provides a broad range of integrated services that leverage deep industry experience with strong functional and technical capabilities and product knowledge. EY’s financial services practice provides integrated advisory services to financial institutions and other capital markets participants, including commercial banks, retail banks, investment banks, broker-dealers & asset management firms, and insurance firms from leading Fortune 500 Companies. Within EY’s Advisory Practice, Data and Analytics team solves big, complex issues and capitalize on opportunities to deliver better working outcomes that help expand and safeguard the businesses, now and in the future. This way we help create a compelling business case for embedding the right analytical practice at the heart of client’s decision-making.
Key Responsibilities
The role requires Financial Services domain hand-on experience with solid Data Management, Python, SQL & Advanced SQL development skills along with strong ability to:
§ Work as a lead developer to contribute in various technical streams of data and analytics implementation projects
§ Understand, analyse, and interpret large datasets
§ Develop advanced programs to extract the data needed, prepare data for further analysis
§ Discover, design, and develop analytical methods to support novel approaches of data and information processing
§ Perform analysis to assess the quality of the data, determine the meaning of the data, and provide data facts and insights
§ Collaborate with technology team and support the development of analytical models with the effective use of data and analytic techniques and validate the model results and articulate the insights to the business team
§ Interface and communicate with the onsite teams directly to understand the requirement and determine the optimum solutions
§ Create technical solutions as per business needs by translating their requirements and finding innovative solution options
§ Provide product and design level functional and technical expertise along with best practices
§ Lead and mentor a team throughout design, development and delivery phases and keep the team intact on high pressure situations.
§ Get involved in business development activities like creating proof of concepts (POCs), point of views (POVs), assist in proposal writing and service offering development, and capable of developing creative power point content for presentations
§ Participate in organization-level initiatives and operational activities
§ Ensure continual knowledge management and contribute to internal learning and development teams
Qualifications:
§ BE/BTech/MTech/MCA with 6 - 12 years of industry experience with data analysis, management and related service offerings
Technical skills requirement:
Must have:
§ Strong Python programming and data analysis skills
§ Strong advance SQL/PL SQL programming experience
§ In-depth experience in data management, data integration, ETL, data modeling, data mapping, data profiling, data quality and controls, data analysis, reporting, and testing areas
Good to have:
§ Experience using Agile methodologies
§ Experience using cloud technologies such as AWS or Azure
§ Experience in writing R and SAS programs
§ Experience with technologies like Hive, Spark, Impala
§ Experience in Kafka, Apache Spark using SparkSQL and Spark Streaming or Apache Storm
§ Experience in NOSQL technologies like Hbase, Cassandra, MongoDB
§ Good to have Knowledge of SAS base and SAS macro programming and SAS tools (e.g. SAS Enterprise Guide, SAS Management Console and SAS Visual Analytics) will be an added advantage
§ Programming experience (e.g. application development or scripting languages – Perl, VBasic, VBScript, Unix Shell scripts)
§ Experience on Banking and Capital Markets domains
Other Key capabilities:
§ Client facing skills and proven ability in effective planning, executing and problem-solving
§ Excellent communication, inter-personal, and teamworking skills
§ Multi-tasking attitude, flexible with ability to change priorities quickly
§ Methodical approach, logical thinking, and ability to plan work and meet deadlines
§ Accuracy and attention to details
§ Written and verbal communication skills
§ Willingness to travel to meet client needs
§ Ability to plan resource requirements from high level specifications
§ Ability to quickly understand and learn new technology/feature and should inspire change to make an impact within the team and in a client organization
Basic Vacancy Information
Vacancy Title
Senior – Data Analyst
Work Country
India
Vacancy Type
Permanent
Business Unit
GDS Advisory Bangalore
Company
Ernst & Young
Department Name
Data and Analytics
Specific Location Details
Bangalore
Employment Type
Permanent - Full Time
Proposed Start Date
Immediate to 30/60 days is preferred
Work Details
Company profile:
EY's Advisory Services is a unique, industry-focused business unit that provides a broad range of integrated services that leverage deep industry experience with strong functional and technical capabilities and product knowledge. EY’s financial services practice provides integrated advisory services to financial institutions and other capital markets participants, including commercial banks, retail banks, investment banks, broker-dealers & asset management firms, and insurance firms from leading Fortune 500 Companies. Within EY’s Advisory Practice, Data and Analytics team solves big, complex issues and capitalize on opportunities to deliver better working outcomes that help expand and safeguard the businesses, now and in the future. This way we help create a compelling business case for embedding the right analytical practice at the heart of client’s decision-making.
Key Responsibilities
The role requires Financial Services domain hand-on experience with solid Data Management, Python, SQL & Advanced SQL development skills along with strong ability to:
§ Work as a lead developer to contribute in various technical streams of data and analytics implementation projects
§ Understand, analyse, and interpret large datasets
§ Develop advanced programs to extract the data needed, prepare data for further analysis
§ Discover, design, and develop analytical methods to support novel approaches of data and information processing
§ Perform analysis to assess the quality of the data, determine the meaning of the data, and provide data facts and insights
§ Collaborate with technology team and support the development of analytical models with the effective use of data and analytic techniques and validate the model results and articulate the insights to the business team
§ Interface and communicate with the onsite teams directly to understand the requirement and determine the optimum solutions
§ Create technical solutions as per business needs by translating their requirements and finding innovative solution options
§ Provide product and design level functional and technical expertise along with best practices
§ Lead and mentor a team throughout design, development and delivery phases and keep the team intact on high pressure situations.
§ Get involved in business development activities like creating proof of concepts (POCs), point of views (POVs), assist in proposal writing and service offering development, and capable of developing creative power point content for presentations
§ Participate in organization-level initiatives and operational activities
§ Ensure continual knowledge management and contribute to internal learning and development teams
Qualifications:
§ BE/BTech/MTech/MCA with 6 - 12 years of industry experience with data analysis, management and related service offerings
Technical skills requirement:
Must have:
§ Strong Python programming and data analysis skills
§ Strong advance SQL/PL SQL programming experience
§ In-depth experience in data management, data integration, ETL, data modeling, data mapping, data profiling, data quality and controls, data analysis, reporting, and testing areas
Good to have:
§ Experience using Agile methodologies
§ Experience using cloud technologies such as AWS or Azure
§ Experience in writing R and SAS programs
§ Experience with technologies like Hive, Spark, Impala
§ Experience in Kafka, Apache Spark using SparkSQL and Spark Streaming or Apache Storm
§ Experience in NOSQL technologies like Hbase, Cassandra, MongoDB
§ Good to have Knowledge of SAS base and SAS macro programming and SAS tools (e.g. SAS Enterprise Guide, SAS Management Console and SAS Visual Analytics) will be an added advantage
§ Programming experience (e.g. application development or scripting languages – Perl, VBasic, VBScript, Unix Shell scripts)
§ Experience on Banking and Capital Markets domains
Other Key capabilities:
§ Client facing skills and proven ability in effective planning, executing and problem-solving
§ Excellent communication, inter-personal, and teamworking skills
§ Multi-tasking attitude, flexible with ability to change priorities quickly
§ Methodical approach, logical thinking, and ability to plan work and meet deadlines
§ Accuracy and attention to details
§ Written and verbal communication skills
§ Willingness to travel to meet client needs
§ Ability to plan resource requirements from high level specifications
§ Ability to quickly understand and learn new technology/feature and should inspire change to make an impact within the team and in a client organization