Description

What you’ll be doing

• Support the development of data-driven automation and reporting solutions that connect to enterprise systems such as Databricks, Jira, and ServiceNow , and others
• Pull, clean, and organize data from Databricks, Jira, ServiceNow, and related business systems for reporting, dashboards, and operational workflows.
• Build and maintain dashboards similar to tableau, PowerBI, and others built on claude code, cursor, etc that help teams track tickets, cases, tasks, service metrics, project status, and operational performance.
• Assist with creating automated data refreshes, scheduled reports, and repeatable workflows to reduce manual reporting and data collection.
• Develop basic data pipelines, queries, and scripts to extract, transform, and load data from APIs, databases, and enterprise tools.
• Work with business and technical teams to understand reporting requirements and translate them into dashboards, data models, and automation tasks.
• Help document data sources, field definitions, dashboard logic, and automation steps so solutions are easy to support and maintain.
• Support troubleshooting of data issues, refresh failures, permission problems, and inconsistencies across reporting sources.
• Contribute to reusable templates, queries, dashboard components, and automation patterns that can be used across teams.
• Follow engineering and data best practices around version control, testing, access controls, documentation, and operational reliability.

What we need to see

• Currently pursuing or recently completed a BS, MS, or equivalent experience in Computer Science, Information Systems, Data Analytics, Data Engineering, Software Engineering, or a related field.
• 1–3 years of experience, internship experience, project experience, or equivalent hands-on work with data, reporting, automation, or enterprise systems.
• Hands-on experience or strong familiarity with data engineering, visualization, and analytics dashboard creation, data modeling, DAX, Power Query, and scheduled refreshes.
• Experience working with Databricks , SQL, notebooks, or lakehouse-style data environments.
• Familiarity with pulling data from enterprise tools such as Jira and ServiceNow , including APIs, exports, connectors, or reporting tables.
• Programming experience using Python, SQL, JavaScript, or similar languages.
• Understanding of data cleaning, transformation, joins, filters, calculated fields, and dashboard performance basics.
• Ability to work with stakeholders to clarify requirements, validate data, and iterate on reports or automation workflows.
• Strong attention to detail, willingness to learn, and ability to document work clearly.
• Good communication, problem-solving, and collaboration skills.

Ways to stand out from the crowd

• Experience building analytics and BI dashboards using data from Jira, ServiceNow, or Databricks data.
• Experience with Jira or ServiceNow APIs, reporting schemas, ticket data, incident data, change data, or workflow metrics.
• Experience automating manual reporting or operational tasks using Python, Power Automate, scheduled jobs, notebooks, or scripts.
• Familiarity with Databricks SQL, Delta tables, Unity Catalog, jobs, or workflows.
• Experience creating dashboards for IT operations, service management, engineering productivity, project tracking, or business operations.
• Basic understanding of data governance, permissions, and secure handling of enterprise data.
• Experience using AI-assisted development tools such as Cursor, Claude Code, Codex, GitHub Copilot, or similar tools.
• Interest in AI, automation, data engineering, and enterprise productivity workflows

Key Skills

Education

Any Graduate