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EY GDS – Data and Analytics - D and A – Senior - Data Analyst

We are seeking a highly skilled and motivated Data Analyst with experience in ETL services to join our dynamic team. As a Data Analyst, you will be responsible for data requirement gathering, preparing data requirement artefacts, preparing data integration strategies, data quality, data cleansing, optimizing data pipelines and solutions that support business intelligence, analytics, and large-scale data processing. You will work closely with data engineering teams to ensure seamless data flow across our systems.

Key Responsibilities:

The role requires Financial Services domain hands-on experience with solid Data Management, Python, SQL & Advanced SQL development skills along with a strong ability to:

Interact with data stakeholders, source teams to gather data requirements.
Understand, analyse, and interpret large datasets.
Understand data integration patterns and methods.
Prepare data dictionaries, source to target mapping, and understand underlying transformation logic.
Understand and prepare reporting requirements.
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 data profiling manually or using profiling tools.
Identify critical data elements and PII handling process/mandates.
Understand handling process of historic and incremental data loads and generate clear requirements for data integration and processing for the engineering team.
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 data intake process.
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.

Required Skills and Qualifications:

BE/BTech/MTech/MCA with 3-7 years of industry experience with data analysis, management, and related data service offerings.
Experience in finance data domains.
Strong Python programming and data analysis skills.
Strong advanced 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 Kafka, Apache Spark using SparkSQL and Spark Streaming or Apache Storm.

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 the 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.

EY | Building a Better Working World

EY exists to build a better working world, helping to create long-term value for clients, people, and society and build trust in the capital markets.

Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform, and operate.

Working across assurance, consulting, law, strategy, tax, and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

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