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Servicenow Recruitment Drive; Hiring Analyst – Apply Now


Servicenow looking for a Data Rockstar! An ideal candidate will have end to end experience in gathering requirements from stakeholders, understanding their needs vs wants, retrieving data using data mining languages (SQL/PLSQL etc.) and developing effective executive level analytics dashboard using Tableau, Power BI that clearly communicates a clear data story. The work requires extensive experience in responsive visualization design and development along with mining and manipulating data and proficiency in requirement gathering. As a senior personnel, the ideal candidate is expected to be open to mentoring others, serving as a technical lead within the team, and providing optimization solutions to problematic analytics deliverables.

Name of the Organization: Servicenow

Requisition ID: JB0050764

Positions: Staff Data Informatics Analyst

Location: Hyderabad (Remote OR Hybrid)

Salary: As per company Norms

Educational Qualifications:

  • Bachelor's degree in Analytics, Statistics, Mathematics or similar focuses.
  • Minimum of 7 years of professional experience as an analyst with 5 years of those years in designing executive level dashboards
  • Proficient in using SQL to extract data from data warehouses & prepare data for complex analyses
  • Expert knowledge Power BI, Tableau and other BI analytics tools.
  • Must have expert level understanding of dashboard design.
  • Expert in Snowflake Architecture
  • ServiceNow Performance Analytics experience preferred.
  • Solid decision making, negotiation, and persuasion skills, often in ambiguous situations
  • Superior communication and presentation skills
  • Must be able to work in fast paced environment and be able to adopt to changing requirements.
  • Excellent communication and inter-personal skill

Skills Required:

  • You get a deep understanding of Customer Support and Engineering business processes, KPIs and how the organizations use data to make decisions
  • Ability to influence senior leadership with your dashboards and insights and promote a data driven culture
  • Partner very closely with data engineering on large projects to develop complex datasets
  • Work on challenging datasets to uncover insights and tell the story and solve technical hard problems with effective dashboard design and development
  • Mentor and coach junior resources and provide technical guidance to the team
  • Collaborate with the data science team on projects where data science can have a large impact.
  • Identifies areas of innovation and process improvement across the team
  • Exposure to working in a Scrum team following agile best practices

Job Description:

The ideal candidate should have a background in analytics and statistics, the ability to foster relationships with staff across departments and be motivated to continuously achieve positive results. They should also be able to effectively handle ad hoc requests with little guidance.

  • Develop interactive data visualizations that enable business insights and make recommendations
  • Design and develop scale analytics solutions for Engineering and Support Organizations
  • Work cross functionally with stakeholders to gather requirements for analytics requests and be differentiate between needs vs wants
  • Effectively create wireframes and mockups based on requirements and participate in data strategy
  • Lead complex data analysis to develop, track, and maintain key metrics to ensure alignment across stakeholders.
  • Create datasets using SQL and build powerful visualization that communicate the story
  • The right candidate will have hybrid skills in business analytics, data visualization in Tableau, PowerBI, data engineering
  • Troubleshoot production issues and resolve them quickly with minimal help
  • Train business users to use dashboard, enable them to interpret the data
  • Present recommendations to senior leadership, and drive the “follow through” of those recommendations to ensure smooth execution with a diverse array of cross-functional partners
  • Look for data quality opportunities to promote a data quality mindset across ServiceNow

 

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