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Bayworth Technologies

Data Analytics & Business Intelligence

Professionals who turn raw data into reporting, insight, and decisions.

Professionals who turn data into reporting, insight, and decisions.

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About the field

What data analytics & business intelligence involves

Data analytics and business intelligence connect an organization's operational data with the people who need to act on it. The work spans data collection and modeling, pipeline engineering, dashboard development, and the analysis that explains what the numbers mean.

As data volumes grow and move to cloud warehouses, organizations look for professionals who combine technical skill in SQL and modern data tools with the communication skills to translate findings for business stakeholders.

Who we recruit

Types of professionals in this field

  • Data analysts

    Exploring datasets and answering business questions with evidence.

  • BI developers

    Designing semantic models, dashboards, and self-service reporting.

  • Data engineers

    Building reliable pipelines and warehouse structures.

  • Analytics engineers

    Transforming and testing data models for analysis.

  • Data governance specialists

    Defining quality, lineage, and access standards.

Technical competencies & tools

  • SQL
  • Power BI
  • Tableau
  • Looker
  • Python / pandas
  • dbt
  • Snowflake
  • Databricks
  • Azure Synapse / BigQuery / Redshift
  • ETL / ELT design
  • Data modeling (star schema)
  • Data quality & governance

Common assignments & responsibilities

  • Migrating reporting from spreadsheets to a BI platform
  • Building KPI dashboards for leadership
  • Designing data warehouse or lakehouse models
  • Developing and monitoring data pipelines
  • Supporting data quality and governance programs

How Bayworth helps

We clarify whether a role is analysis-heavy, engineering-heavy, or a blend — a distinction that often decides fit — and talk with candidates about the tools and data maturity they'd actually be working with.

Opportunities depend on client requirements and each candidate's qualifications.

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