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Data Analyst - IICS​/PowerCenter

Job in Cincinnati, Hamilton County, Ohio, 45208, USA
Listing for: Golden Technology
Full Time position
Listed on 2025-12-01
Job specializations:
  • IT/Tech
    Data Analyst, Data Engineer
Job Description & How to Apply Below
Overview

Our client is looking for a Data Analyst to join their Team! This role will work closely with various departments to gather, analyze, and interpret data to support business decisions and strategies.

Responsibilities
  • Develop, execute, and optimize SQL queries to extract and analyze data from various databases.
  • Design, implement, and maintain Informatica ETL processes to ensure data is accurately and efficiently loaded into data warehouses.
  • Collaborate with stakeholders to understand data requirements and provide actionable insights.
  • Create and maintain data, reports, dashboards, and visualizations to support business operations.
  • Ensure data integrity and accuracy by performing regular data quality checks.
  • Identify trends, patterns, and anomalies in data to support business decision-making.
  • Document data processes, methodologies, and findings for future reference.
  • Collaborate closely with cross-functional teams to gather requirements and deliver reporting solutions that meet business needs.
  • Provide guidance on best practices and ensure compliance with company policies and industry standards.
Qualifications
  • Strong background in building and executing SQL code
  • Experience with ETL (Extract, Transform, Load) processes
  • A bachelor’s degree in computer science, Information Systems, or a related field
  • At least 3 years of experience in the field of data science
  • Excellent problem-solving skills
  • Excellent communication skills, written and verbal
  • Strong experience with Informatica Intelligent Cloud Services (IICS) to perform data extraction, transformation, and loading
  • Ability to perform SQL Server databases maintenance activities (table design, indexing, performance monitoring/tuning, security management, capacity planning, troubleshooting, etc.)
  • Solid understanding of data warehousing concepts like star/snowflake schemas, slowly changing dimensions, degrees of normalization, partitioning strategies, table join options, surrogate keys, fact vs dimension tables
  • Proficiency in data visualization tools such as Tableau, Power BI, or similar
  • Ability to work independently and manage multiple tasks simultaneously
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