Cognos Planning & Analytics Administrator

Jobtailor

Hyderabad

On-site

INR 1,200,000 - 1,800,000

Full time

14 days+
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Benefits offered by this job

Flexible work culture
Career growth opportunities
Certification support

Job summary

Kyndryl is seeking an experienced IBM Cognos Planning Analytics (TM1) Administrator in Hyderabad, India. The role involves managing and optimizing the enterprise planning environment, ensuring system stability while delivering scalable solutions.

The ideal candidate will possess strong development skills, expertise in SQL, and proficiency in TM1 administration. The position supports a hybrid work culture that fosters career growth and skills enhancement.

Qualifications

  • Strong experience in TM1 administration and development.
  • Proficiency in SQL and data integration.
  • Experience with cloud platforms and data engineering.

Responsibilities

  • Design and develop reports using Cognos Framework Manager.
  • Optimize system performance and troubleshoot issues.
  • Collaborate with clients and stakeholders for requirements.

Skills

IBM Cognos Planning Analytics (TM1) administration
SQL knowledge
Data analysis
TurboIntegrator scripting
Data visualization (Tableau, Power BI)

Education

Degree in Computer Science or related field

Tools

PostgreSQL
MongoDB
GitHub

Job description

Position Overview

We are seeking a skilled IBM Cognos Planning Analytics (TM1) Administrator with strong development expertise to manage, optimize, and enhance our enterprise planning environment. The ideal candidate will combine administration proficiency with hands‑on development skills, ensuring system stability while delivering scalable planning and forecasting solutions.

Responsibilities
  • Design and develop reports using Cognos Framework Manager.
  • Build and maintain reports using Report Studio.
  • Write and optimize SQL queries for data retrieval and report building.
  • Perform basic Cognos administration tasks including data source configuration, scheduling reports, and troubleshooting.
  • Collaborate with clients and stakeholders, demonstrating strong soft skills and professionalism.
  • Understand fact and dimensional table design principles.
  • Apply foundational knowledge of data warehousing and data frameworks.
  • Conduct data analysis to support reporting and decision‑making.
  • Exposure to Tableau and Power BI for data visualization and dashboarding.
  • Expertise in data mining, data storage, and Extract‑Transform‑Load (ETL) processes.
  • Experience in developing data pipelines and tooling, e.g., Glue, Databricks, Synapse, or Dataproc.
  • Experience with relational and NoSQL databases, including PostgreSQL, DB2, MongoDB.
  • Excellent problem‑solving, analytical, and critical‑thinking skills.
  • Ability to manage multiple projects simultaneously, maintaining high attention to detail.
  • Strong communication skills, mandating the ability to derive technical requirements from business needs.
Preferred Skills and Experience
  • Experience working as a Data Engineer and/or in cloud modernization.
  • Experience in data modelling, to create conceptual models of how data is connected and utilised in business processes.
  • Professional certification, e.g., Open Certified Technical Specialist with Data Engineering Specialization.
  • Cloud platform certifications such as AWS Certified Data Analytics – Specialty, Elastic Certified Engineer, Google Cloud Professional Data Engineer, or Microsoft Certified: Azure Data Engineer Associate.
  • Understanding of social coding and integrated development environments, e.g., GitHub and Visual Studio.
  • Degree in Computer Science, Software Engineering, Information Technology, or other scientific discipline.
Mandated Technical and Professional Expertise
  • Administration – Manage TM1 servers, environments, and user security.
  • Monitor system performance, troubleshoot issues, and ensure high availability.
  • Oversee upgrades, patches, and environment migrations (on‑premise/cloud).
  • Implement and maintain backup, recovery, and disaster‑recovery procedures.
  • Ensure compliance with IT governance and audit requirements.
  • Development – Design and build TM1 cubes, dimensions, rules, and feeders.
  • Develop and optimise TurboIntegrator (TI) processes for automation and data integration.
  • Create and maintain Planning Analytics Workspace (PAW) dashboards and Planning Analytics for Excel (PAx) reports.
  • Collaborate with finance and business teams to translate requirements into technical solutions.
  • Optimise cube performance, feeders, and rule calculations.
  • Support & Documentation – Provide end‑user support and training for TM1 applications.
  • Document technical specifications, workflows, and best practices.
  • Partner with cross‑functional teams (Finance, IT, BI) to ensure seamless integration.
Mandatory Skills & Qualifications
  • Strong experience in IBM Cognos Planning Analytics (TM1) administration and development.
  • Proficiency in TurboIntegrator scripting, cube design, rules, and feeders.
  • Solid understanding of financial planning, budgeting, and forecasting processes.
  • Strong SQL knowledge and experience integrating TM1 with relational databases.
  • Familiarity with PAW, PAx, and TM1 Web.
  • Excellent problem‑solving, debugging, and performance‑tuning skills.
  • Strong communication and documentation abilities.
Benefits

The role offers a flexible, hybrid‑friendly culture that supports well‑being and career growth, with opportunities to enhance skills, pursue certifications, and contribute to team success.

Equal Opportunity Employer

Kyndryl is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, disability, age, veteran status, or other characteristics. Kyndryl is also committed to compliance with all fair employment practices regarding citizenship and immigration status.

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