BI Analyst

EZDATA LLC
Dallas, TX, United States
3 months ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
4 years minimum
Compensation
$58,289.0 - $90,150.0
Working hours
Regular working hours
Job source

Tech stack

Artificial Intelligence Airflow Amazon Web Services Business Analytics Applications ARM Architecture Microsoft Azure Cloud Computing Computer Engineering Information Engineering Extract Transform Load (ETL) Data Sharing Distributed Systems
+24 more
IT Management Python (Programming Language) Machine Learning MicroStrategy Power BI Tensorflow Scala (Programming Language) Search Technologies Tableau (Software) Teradata SQL Unstructured Data Large Language Models Snowflake Apache Spark Data Lakes Pyspark Information Technology Data Analytics AWS Data Analytics Looker Analytics Data Pipelines Jenkins Databricks Teradata Aster

Job description

EzData Systems Inc. is seeking qualified BI Analysts with strong analytical and technical expertise to drive enterprise reporting, BI modernization, operational analytics, and data driven decision intelligence insights.

The BI Analyst will design, develop, and operationalize advanced analytics solutions that support content operations, audience insights, digital distribution, and enterprise decision-making within the Television and

Entertainment domain. The role requires deep technical expertise, strong analytical capabilities, and hands-on experience working with largescale media datasets, BI platforms, and modern data engineering frameworks. The ideal candidate brings a blend of BI architecture, machine learning, and data engineering experience, with the ability to translate complex business requirements into scalable, production ready analytics solutions.

Detailed Job Duties:

  • Analyze business requirements and translate them into detailed technical specifications for BI, data engineering and analytics solutions.

  • Design, develop, maintain dashboards, reports and data models using Looker, Tableau and Power BI.

  • Operationalize the enterprise BI-layer to automate KPI computation, enable cross platform data sharing across Azure, AWS, Databricks, and Snowflake, and support real-time CXO dashboards and operational insights.

  • Build data pipelines and ETL workflows using AWS Data Pipeline, Airflow, Apache Spark, and Scala.

  • Develop predictive analytics and machine learning models using Python, PySpark, Teradata Aster, and AI/ML frameworks within distributed computing environments.

  • Integrate Snowflake Cortex AI capabilities - including LLM integration and vector search for processing structured and unstructured data.

  • Prepare technical documentation, system design specifications and related material.

  • Collaborate with business stakeholders, global engineering teams, and IT leadership to support data driven decision making.

  • Research emerging technologies and recommend enhancements to BI architecture, data engineering frameworks, and analytics capabilities.

Requirements

Do you have experience in Teradata?, Education: The position requires a bachelor’s degree in Computer Science, Computer Science & Engineering,

Information Technology, Computer Information Systems, or a combination of education and experience equating to the equivalent of a Bachelor’s degree in one of the aforementioned subjects.

Relevant Experience: The position requires four (4) years of progressive experience in the TV and

Entertainment industry, with a strong emphasis on developing Business Intelligence (BI) applications. The role further requires below listed specialized technical skills, expertise in BI architecture, machine learning (ML) data lake environments, data modeling, and ETL design.

Specialized Technical Skills:

  • BI Tools: Looker, MicroStrategy, Tableau, Power BI

  • ETL & Data Automations: AWS Data Pipeline, Snowflake/Airflow (ETL), Apache Spark, Jenkins

  • Data Engineering: Data modeling, ETL design

  • Programming: Python, PySpark, Teradata Aster

  • Cloud/ Data Lake: Data Lake Storage, Data Factory, Databricks

Soft Skills:

  • Strong communication/ interpersonal skills, strong analytical and problem-solving mindset

  • Ability to collaborate with executives, cross functional teams, and global engineering groups

Apply for this position

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