Job Description
Position Summary
Our Data Analytics & Management practice helps clients in identifying, developing, and implementing solutions for analytics enablement, and achieving their business, compliance, and regulatory needs through intelligent use of data analytics, using our experience and expertise in varied areas of data management and analytics.
USI Data Analytics & Management team spans our business Offering Portfolios (Risk Data Management, Cyber Analytics, Digital Internal Audit, Forensic Analytics, Controllership). The team has been instrumental in Deloitte’s analytics growth journey and has played an integral part in delivering client engagements and developing the Deloitte proprietary analytic solutions
Work you’ll do
Essential job requirements include:
- Analyze client requirements, perform due diligence, and design solutions
- Work with team members to build analytics solutions and present them to senior management and/or clients
- Execute data management and data analytics engagements to help clients monitor, mitigate, and sustain risks
- Interact with clients and engagement teams to coordinate project work and ensure client satisfaction
- Continue to expand the depth and breadth of technical knowledge related to data management and business analytics
- Build business and industry knowledge in one or more industries
- Build personal and team capability in technical / business/industry area
- Work on practice development activities, such as proposals, eminence, innovation
Key skills required include:
- Experience in handling and integrating large datasets and advanced programming skills in SAS / SQL Server / Big Data environments
- Strong programming background with emphasis on data management
- Experience in working with structured, semi-structured, and unstructured datasets
- Sound understanding of Data Migration processes and ability to recommend design alternatives for data ingestion from a variety of sources into different types of target databases.
- Detailed knowledge of Data Warehousing Concepts like OLAP cubes, data marts, data lakes, facts, dimensions, SCD Types.
- Experience in one or more Big Data platforms such as Apache Hadoop, Hive, Cloudera, Hortonworks, and Nonrelational databases such as MongoDB
- Detailed knowledge and experience of using MapReduce and HDFS concepts
- Proficient in Big Data querying tools such as Pig, Hive, and Impala.
- Big Data developer skills using scripting languages like Python, R, Scala, PySpark, Java
- Experience in creating dashboards and generating reports using BI tools like SAP BO, Tableau, Power BI, Qlik
- Experience in data streaming tools such as Flume, Kafka, Storm is a plus
- Ability to develop data quality checks or perform data stewardship activities to create trusted information
- Experience in building data analytics solutions on cloud platforms like AWS, Google Cloud, Azure is a plus
- Knowledge in any business domain preferably Banking (Lines of Business / Finance/ Risk functions), Internal Audit (Business processes & controls), AML (Anti Money Laundering), Fraud, Forensic, Cyber Security, Accounting is a plus
The Team
Across various businesses, data-driven methodologies and analytics usage continue to grow. Our Regulatory & Operational Risk team leverages deep knowledge of industry-specific regulations with demonstrated methodologies to design, assess, and transform the processes, controls, and infrastructure needed to mitigate risk and achieve compliance.
Our professionals are skilled in varied analytical tools, technologies, and methodologies such as Data Management (on-premise / cloud), Data Quality, Data Governance, Dashboarding & Visualization, Automation, and Machine Learning Natural Language Processing. Combining this with our knowledge of the industry and demonstrated methodologies to design, assess, and transform the processes, controls, and infrastructure, we help clients in designing, implementing, and managing analytical programs successfully.
Qualifications Required
Preferred
- MBA/Equivalent with specialization in Finance
- Certification in Cloud (AWS/ Azure / GCP) Data analytics or AI/ML
- Certification in SAS or SQL Server or Other relational databases or big data platforms