Senior Data Analyst: Databricks & Power BI Expert

IDR, Inc.

Raleigh (NC)

On-site

USD 90,000 - 120,000

Full time

6 hours ago
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Benefits offered by this job

Competitive compensation
Full benefits
Industry-leading organization

Job summary

IDR, Inc. in Raleigh, NC is seeking a Data Analyst to join a top client on a long-term basis. You will develop business requirements and work with stakeholders to ensure data solutions meet business needs using Databricks, PySpark, and Power BI.

You will collaborate with a technical lead and participate in design discussions with the development team. Ideal candidates have 5+ years experience with Databricks, PySpark, Spark SQL, and data visualization, plus data mapping and requirements

Qualifications

  • 5+ years hands-on Databricks and PySpark for data analysis and transformation.
  • 5+ years advanced Spark SQL, writing efficient, complex queries on large datasets in Databricks.
  • 5+ years data visualization and dashboarding in Power BI and Databricks native visualization tools.
  • 5+ years data mapping and modeling to integrate and transform data.
  • 5+ years gathering and developing business requirements with stakeholders.

Responsibilities

  • Develop business requirements and support change management documentation.
  • Collaborate with stakeholders to align data solutions with business needs.
  • Work with a technical lead and participate in design discussions and planning with the broader development team.

Skills

Databricks
PySpark
Spark SQL
Power BI
Databricks viz
Data mapping & modeling
Stakeholder requirements

Tools

Power BI

Job description

IDR, Inc. in Raleigh, NC is seeking a Data Analyst to join a top client on a long-term basis. You will develop business requirements and work with stakeholders to ensure data solutions meet business needs using Databricks, PySpark, and Power BI.

You will collaborate with a technical lead and participate in design discussions with the development team. Ideal candidates have 5+ years experience with Databricks, PySpark, Spark SQL, and data visualization, plus data mapping and requirements

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