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Business Intelligence Senior Specialist

NTT DATA nttdata.com Open · verified Oct 24, 2026
Noida Senior Data Analysis & BI

At a glance

Senior Data Analysis & BI role at NTT DATA. Noida.

Pay not stated Data Analysis & BI salary

RoleData Analysis & BI
SenioritySenior
LocationNoida
PostedSep 8, 2026 · 6w ago
Role brief

dataroles summary, based on the employer's posting.

What you'll do

  • Bring XML, relational, CSV, text and Excel sources into the data lake, then transfer data between the lake and warehouse
  • Turn discussions with business and technical stakeholders about source data and warehouse processes into requirements and designs
  • Run incremental or full data extraction as needed, while following configuration and change controls
  • Coach teammates on big data technologies and technical practices, and contribute to shared knowledge resources
  • Work in cloud environments to improve solution performance and the end-user experience

What you bring

  • At least three years working with relevant technologies
  • A computer applications degree or an equivalent engineering or IT qualification from an accredited university
  • Hands-on skill with SQL, Google Cloud Platform and Python, along with the other listed tools

Who this fits

This Noida-based senior specialist role suits someone who can build and troubleshoot data solutions hands-on while mentoring teammates. Healthcare experience is preferred.

From the employer

Req ID: 389196

NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.

We are currently seeking a Business Intelligence Senior Specialist to join our team in Noida, Uttar Pradesh, India, Uttar Pradesh (IN-UP), India (IN).

Data Engineer

Skills:
· Tools: Strong knowledge of SQL,Google cloud Platform,Big Query,Python,CI/CD Pipeline,Git,Airflow composer, Big Data,Hadoop, Spark, SQL, Python, Java, Shell Scripting, Cron, Hbase, HDFS, Impala, Hive, Pig, Sqoop, MySQL.
· Minimum 3-5 years’ experience in relevant technologies
· Experience in Healthcare (preferred)


Education: Bachelor/Master of Computer Application or equivalent engineering/IT degree from an accredited University.

Job Duties:
· Understanding multiple data sources like XMLs’, Relational, CSV, Txt, and Excel to feed into Data Lake.
· Work with technical and business stakeholders to understand the data sources, ingestion, movement, structures, and processes in existing data warehouses to be able to generate requirements and designs.
· Mentoring the team on big data tool and technologies and helping them in all technical aspects including best practices.
· Should have complete hands on all above tool and technologies.
· Extracting data from Data Lake and feeding into Data warehouse and vice versa.
· Extraction of data incrementally and full load as per requirements.
· Follow configuration and change management process.
· Ability to solve problems with data
· Working with cloud computing environments
· Tune solutions to improve performance and end-user experience
· Contribute to group knowledge sharing platforms and best practice
· High attention to data accuracy
· Ability to work in an agile team
· Critical thinking to ask questions, determine best course and offer solutions
· Effective analytical and decision-making skills
· Strong interpersonal skills to build relationships and communicate effectively with managers, co-workers and Business users
· Teamwork skills within the department and on project teams
· Demonstrated ability to work effectively in a fast-paced, complex, and dynamic business environment
· Enjoy being challenged and to solve complex problems on a daily basis

About NTT DATA

NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. our consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is a part of NTT Group, which invests over $3 billion each year in R&D.

Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client’s needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com, @nttdatafed.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, https://us.nttdata.com/en/contact-us.

NTT DATA endeavors to make https://us.nttdata.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at https://us.nttdata.com/en/contact-us. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here.

Opportunity

Data Analysis & BI work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Data Analysis & BI

Find me work

By the team behind dataroles.

Find me work
Opportunity

Data Analysis & BI work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Find me work

By the team behind dataroles.