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ImpetusIT

ImpetusIT is hiring: Bi Analyst/Data analyst in Columbus

ImpetusIT, Columbus, OH, United States, 43224

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This range is provided by ImpetusIT. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.


Base pay range


$60,000.00/yr - $75,000.00/yr


Are you passionate about turning raw data into actionable insights? One of our staffing partners is hiring for a pharma client who is seeking a BI Analyst to support business operations through analytics, reporting, and data pipeline development. Collect, process, and analyze data to support business decision-making. If you're detail-oriented and thrive on uncovering trends, we’d love to hear from you!


Salary offered $55-75k per year


The staffing company or client will reach directly to the applicants. This position is USA-based.


Responsibilities



  • Design, develop, and maintain BI dashboards using Power BI, Tableau, or Looker

  • Perform advanced data modeling, cleansing, and transformation for accurate reporting

  • Build and optimize ETL pipelines to ensure seamless data flow across systems

  • Work with structured and unstructured datasets for comprehensive analysis

  • Write complex SQL queries for data extraction and performance tuning

  • Collaborate with data engineers to enhance data infrastructure and improve accessibility

  • Monitor key performance indicators (KPIs) and provide actionable insights

  • Automate reporting processes using Python, R, or other scripting tools


Requirements



  • Strong experience with BI tools (Power BI, Tableau, QlikView, or similar)

  • Proficiency in SQL for data querying and manipulation

  • Hands-on experience with ETL processes and data pipeline development

  • Familiarity with cloud-based data warehouses (Snowflake, BigQuery, or Redshift)

  • Ability to optimize database performance for efficient querying

  • Understanding of Python or R for data analytics and automation

  • Excellent analytical, problem-solving, and communication skills

  • Experience with Spark, Hadoop, or other big data technologies

  • Knowledge of API integrations for data ingestion

  • Exposure to machine learning applications in business intelligence


Details



  • Seniority level: Not Applicable

  • Employment type: Full-time

  • Job function: Information Technology

  • Industries: Staffing and Recruiting

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