Data Analyst – IBM Cognos Specialist (Nearshore)

Future Tech Enterprise, Inc.
9dRemote

About The Position

Future Tech is seeking a highly skilled Data Analyst specializing in IBM Cognos to support ongoing business intelligence and reporting initiatives. The ideal candidate will design, build, and maintain dashboards and reports across multiple business units, ensuring accuracy, consistency, and usability. This role requires deep hands-on Cognos experience, strong SQL skills, and the ability to work independently in a dynamic, data-driven environment. This is a remote-based Nearshore opening (This is not a U.S.-Based position.) The work hours are Monday – Friday, 8:30a – 5:30p Eastern Time.

Requirements

  • 5+ years of experience as a Data Analyst or BI Developer.
  • Expert-level proficiency in IBM Cognos Analytics (Report Studio, Dashboarding, Framework Manager).
  • Strong SQL and IBM DB2 Database experience, including schema creation and performance tuning.
  • Familiarity with on-prem environments and secure data access practices.
  • Demonstrated ability to self-diagnose and resolve issues related to data accuracy and reporting logic.
  • Fluent in English (verbal and written); able to communicate clearly with U.S.-based teams.
  • Available to operate during U.S. Eastern time zone hours.
  • Knowledge of ETL workflows and data governance principles.
  • Prior experience working with U.S.-based organizations as a nearshore contractor.

Nice To Haves

  • Exposure to Python for light data analysis or automation tasks.

Responsibilities

  • Design and develop IBM Cognos reports, dashboards, and visualizations based on business requirements.
  • Work with IBM DB2 databases: create and optimize queries, schemas, and data models.
  • Validate and troubleshoot reporting outputs; independently identify and resolve data inconsistencies.
  • Manage reporting queues and prioritize incoming requests efficiently.
  • Collaborate with stakeholders to clarify requirements and translate them into technical specifications.
  • Document report logic, data sources, and dashboard configurations for maintainability.
  • Contribute to data quality assurance and best practices for analytics governance.
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