Digital-FAAS-Manager

Leadership Skills Should be able to manage a large team of 20+ professionals, demonstrating strategic leadership and team collaboration. Will be responsible for broader discretion of hiring and firing, recommendation of ratings and promotions basis the performance.

Technical Skills

• Advanced expertise in data analytics and data visualization techniques.
• Proficient in data engineering, including data transformation, integration, acquisition, preparation, modeling, and master data management.
• Extensive experience in implementing visualization projects using tools like MS Power BI, Tableau, Spotfire, and others. Proficient with Microsoft BI technologies (SQL, SSIS, SSAS, SSRS) and Azure-BI solutions such as ADF, Synapse, and Databricks.
• Programming skills in SQL, DAX, MDX, Python, Power Shell Scripting, Node JS, React JS, C++, with proficiency in databases like MS-SQL Server, Access, and MySQL.
• Proficiency in developing and managing Excel macro-based dashboards.
• Proficiency in performance tuning and optimization for processing large datasets, ensuring efficient data retrieval and minimal response times.
• Experience with partitioning strategies, indexing, and query optimization to manage and expedite data access in high-volume environments.
• Skilled in using big data technologies and distributed computing frameworks to address scalability and performance challenges in large-scale data processing.
• Expertise in designing and optimizing data pipelines and ETL processes to improve data flow and reduce bottlenecks in extensive datasets.
• Familiarity with advanced analytics and machine learning algorithms for efficient processing and analysis of massive datasets to derive actionable insights.
• Knowledge of cloud-based data services and tools for scalable storage, analysis, and management of large volumes of data, including Azure Synapse, Snowflake, and Amazon Redshift.

Soft Skills Effective communication, analytical thinking, and problem-solving abilities.

Managerial Roles

• As a Manager at EY GDS, one should be capable of designing and delivering analytics foundations, managing a team, constructing dashboards, and employing critical thinking to resolve complex audit and non-audit issues.
• The role involves developing, reviewing, and analyzing solution architecture, gathering and defining requirements, leading project design, and overseeing implementation.
• He/She is responsible for owning the engagement economics of the team, updating key findings to the leadership, and assisting in alignment in case of discrepancies.
• It is essential to align and collaborate with the Service Delivery Manager (SDM) from various Digital delivery regions to perform project scoping, estimations, and strategically drive the deliveries to success.
• The Manager should identify the high and low outliers in the team and help align low outliers with the right learning paths to support their career alignments.
• Own the learning and development of the team and periodically revisit the learnings and advice the team and align them as per the emerging market trends.
• Perform R&D and produce POC that can prove the various capability of the team in implementing advanced concepts in visualizations and organize calls with various groups to explain the features and benefits. Try and implement it in engagements to lead the success.
• Should have periodical alignment on resource performance deployed in various engagements.
• Prioritise and assist team in generating the automation savings with unique ideas and with the help of cutting-edge implementations.