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Information Technology & Services, IT Consulting, Outsourcing

Data Analyst

New York, New York, United StatesOnsiteFull TimeEntry-level (exp-based)Posted 2 months agoVisa sponsorship available

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Role summary

The Data Analyst role focuses on L2 application and data operations support for analytics and ETL workloads. Responsibilities include monitoring and supporting daily data pipelines and batch jobs on Snowflake/Hadoop, investigating incidents using SQL, and performing data validation. The role involves developing lightweight Python/Shell scripts for automation, operating job schedules with TWS/IWS, and managing tickets end-to-end in ITSM tools. Key duties also include performing health checks, maintaining runbooks, collaborating with engineering teams, and participating in Agile ceremonies. The ideal candidate will have 1-3 years of experience in application support or data operations, strong SQL and scripting skills, and good communication abilities.

Job Description
Location
: New York USA
Experience required is:
1 - 3 Years
Primary (Must Have) Skills:

  • Strong SQL and Database knowledge (Snowflake/Hadoop).
  • Strong Python/Shell script knowledge
  • Good Communication skills.

Secondary (Good to have) Skills:

  • TWS Schedular
  • Agile Development.

Requirement:
Job Title: Application Support Analyst (Data Platform) - 1-3 years
Summary

  • Provide L2 application/data operations support for analytics and ETL workloads. Focus on SQL-based investigation, monitoring scheduled jobs, basic Python/Shell automation, and clear stakeholder communication.
  • Target start date: March 30, 2026

Key Responsibilities

  • Monitor and support daily data pipelines and batch jobs across Snowflake/Hadoop environments.
  • Investigate incidents and service requests using strong SQL; perform data validation, reconciliation, and root-cause triage.
  • Develop and maintain lightweight Python/Shell scripts to automate health checks, log parsing, alerts, and routine recovery steps.
  • Operate job schedules using TWS (IWS): monitor job streams, handle failures, perform safe restarts/reruns, manage dependencies and calendars as per runbooks.
  • Own tickets end-to-end in the ITSM tool (e.g., ServiceNow/Jira): classify, prioritize, communicate status, and drive to closure with vendors and internal teams.
  • Perform environment and application health checks, create/maintain runbooks and knowledge articles, and contribute to problem management and RCA documentation.
  • Collaborate with L3 engineers, data engineers, and product owners; participate in Agile ceremonies and release/smoke validations as needed.
  • Produce daily shift handovers and weekly operational reports.

Must-Have Skills And Experience

  • 1-3 years in application support, data operations, or ETL/analytics platform support.
  • Strong SQL and database skills, including writing complex queries and troubleshooting performance on at least one platform; exposure to Snowflake and/or Hadoop (Hive/HDFS) preferred.
  • Strong scripting with Python and Shell on Linux/Unix (file I/O, error handling, log parsing, simple APIs, scheduling fundamentals).
  • Solid understanding of batch processing, data warehousing/ETL concepts, and incident management practices.
  • Good communication skills: clear written updates, user/vendor coordination, and concise handovers.
  • Familiarity with version control (Git) and working in ticketing systems (ServiceNow/Jira).

Good-to-Have Skills

  • TWS/IWS (IBM Workload Scheduler) hands
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