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The Data Analytics Intmd Analyst is a developing professional role that deals with most problems independently and integrates in-depth specialty area knowledge with a solid understanding of industry standards and practices. This role requires applying analytical thought, attention to detail, and project management skills to deliver quality outcomes. Responsibilities include data analysis, integration, applying tools like Hadoop ecosystem, Python, cloud platforms, and offering guidance to new team members. The analyst plays a critical role in achieving objectives while upholding Citigroup's standards, policies, and compliance requirements.
Job Responsibility:
integrates in-depth data analysis knowledge with a solid understanding of industry standards and practices
demonstrates a good understanding of how data analytics teams and area integrate with others in accomplishing objectives
applies project management skills
applies analytical thinking and knowledge of data analysis tools and methodologies
analyzes factual information to make accurate judgments and recommendations focused on local operations and broader impacts
applies professional judgment when interpreting data and results breaking down information in a systematic and communicable manner
employs developed communication and diplomacy skills to exchange potentially complex/sensitive information
demonstrates attention to quality and timeliness of service to ensure the effectiveness of the team and group
provides informal guidance or on-the-job-training to new team members
appropriately assesses risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency
Requirements:
> 6 years relevant experience
experience in Hadoop ecosystem and Big Data technologies
coding expertise with the Hadoop eco-system (HDFS, MapReduce, Hive, Pig, Impala, Spark)
experience with Spark programming (pyspark or scala or java), Python, Unix Shell scripting, Scheduling tools, Data modelling techniques
experience with onboarding and upgrade, migration to cloud platform, tools like Snowflake, AWS, GCP, Github, LightSpeed ROD, Co-Pilot, CI/CD, Devops tools, S3, Data warehouse/ETL tools
knowledge of tools for statistical modeling of large data sets, Regulatory reporting techniques, OLAP
ability to effectively use complex analytical, interpretive and problem-solving techniques and hands-on with tools like Palantir, Data Catalog, Tableau
demonstrated interpersonal, verbal and written communication skills
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