Technical Business Data Analyst --NYC, NY or Dallas , TX ( Hybrid) -- 12+ Months Contract Job at Gandiva Insights, New York, TX

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  • Gandiva Insights
  • New York, TX

Job Description

Roles: Technical Business Data Analyst

Location: NYC, NY or Dallas , TX

Duration:- 12+ Months

Education:

  • Bachelor's degree in Computer Science, Information Technology, Business Administration, or a related field.
  • Advanced certifications in data analytics and business analysis are a plus.

Technical Skills:

  • Data Warehouse Expertise:
    • In-depth knowledge of data warehouse core concepts, including data architecture, data integration, and data governance.
    • Strong understanding of logical data modeling and relational database design.
  • Query Writing:
    • Proficiency in writing SQL queries for data extraction, analysis, and reporting.
  • Azure Services:
    • Experience working with Azure cloud services, including (preferred but not mandatory):
      • Azure SQL Server
      • Azure Data Factory (ADF)
      • Azure Databricks.
  • Tools & Technologies:
    • Familiarity with ETL tools like SSIS.
    • Exposure to data visualization tools such as Power BI or Tableau.
  • Industry Knowledge:
    • Prior experience in the financial industry is a strong advantage, with knowledge of financial data structures and reporting requirements.

Soft Skills:

  • Strong analytical and problem-solving skills, with the ability to translate business requirements into technical solutions.
  • Excellent communication and interpersonal skills to collaborate effectively with technical teams and business stakeholders.
  • Ability to work independently and manage multiple priorities in a fast-paced environment.
  • Attention to detail and a commitment to delivering high-quality work.

Responsibilities:

  1. Requirements Gathering:
    • Collaborate with business stakeholders to gather and document requirements for data engineering projects.
    • Translate business needs into technical specifications for data pipelines, data models, and reporting solutions.
  2. Data Analysis:
    • Analyze large datasets to identify trends, patterns, and insights that support business decision-making.
    • Write and optimize SQL queries to extract and manipulate data for analysis.
  3. Data Modeling:
    • Design and maintain logical data models to support data warehouse architecture and reporting needs.
  4. Collaboration with Data Engineers:
    • Work closely with senior and junior data engineers to ensure data pipelines and ETL processes align with business requirements.
    • Provide input on database schema design and optimization.
  5. Azure Services Utilization:
    • Leverage Azure cloud services to support data integration, storage, and analytics workflows.
    • Collaborate on projects involving Azure Data Factory, Azure SQL Server, and Databricks.
  6. Documentation:
    • Create and maintain comprehensive documentation for business requirements, data models, and technical workflows.
  7. Financial Industry Insights:
    • Apply knowledge of financial data structures and reporting standards to ensure compliance and accuracy in data solutions.
  8. Technology Evaluation:
    • Stay updated with emerging technologies and best practices in data analysis and business intelligence.
    • Recommend new tools and technologies to improve efficiency and scalability.

Thanks

Chandra Shekhar Kumar

[email protected]

Job Tags

Full time, Contract work, Part time, Seasonal work,

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