Etl Data Analyst Jobs

What skills/experience is required?Strong SQL skills...working with SQL Server doing ETL work ideally with large data sets.

Some Phyton and/or R development experience and ab ability to write code to scrape unstructured data from various internet sites

Strong statistics type of background and experience working with financial data would be ideal.

Excellent communication skills both written and verbal.

Location: Tampa (Hybrid, 3 days in office/week)

Excellent organization and management skills.

Experience with business and technical requirements analysis, data modeling/mapping, and quality assurance frameworks.

Agile testing knowledge is a plus.

At least three years' experience in large scale system implementation efforts following a standard software development lifecycle approach (scrum desired).

Strong oral and written communications skills.

Extensive knowledge of industry standard development methodologies

Analyze requirements at sufficient level of detail to allow ETL solution to be developed

Monitor production data integration jobs and correct failures create and manage incident reports as they pertain to data integration processes

This is for a Health Insurance Client. EDI experience and claims adjudication.

Develop ETL job flows according to company standards for naming, performance, reliability

Support testing and remediation of defects in newly-developed/modified workflows

Maintain EDI Datasets to support the Analytic Delivery team

Experience with data mapping, modelling, lineage, governance and management a plus

Business Intelligence/Cloud/AWS knowledge or experience preferred

Education equivalent to a college degree in information technology or technical related discipline, or the equivalent in related work experience

Data analysis and requirements documentation

Communicate and discuss requirements and data with various project stakeholders

Working knowledge of SQL (TSQL/PL SQL), ETL patterns and tools and Data Warehouses/ Data Lakes

Create a back-end infrastructure that supports the deployment of our machine learning models in real-time streaming contexts.

Design and develop ETL pipelines to ensure seamless data integration and processing for model training and inference.

Work closely with the data engineering team to optimize and streamline data pipelines and workflows.

Stay updated with the latest advancements in MLOps and implement best practices to enhance model deployment and monitoring.

Collaborate with cross-functional teams to ensure the successful integration of ML models into production systems.

Data/ETL Tester - 100% Remote (contract to hire)

• 5+ years of ETL testing/SQL experience.

• 3+ years of Informatica Power Center, IDQ & IICS/IDMC experience.

• 2+ years of experience in some of the Azure Cloud tools: IDMC, ADF, Pyspark, databricks notebooks

• Experience with Python and libraries like Pandas, Numpy & Matplotlib.

• Experience in summarizing large number of metrics into meaningful graphs and reports.

Good engineers who have knowledge of programming

in Python/Pyspark – functional programming experience is a definite plus.

Experience in Cloud and building data

Knowledge of Test Automation preferred

flow/pipelines in mandatory – AWS is preferred but any cloud is fine.

Should know how to program distributed systems

Generating reports for data collection, changes, and quality positions to management team.

Working closely with business leadership team to gather requirements and understanding the dependencies.

Analyze user and software requirements to determine design feasibility within time and cost constraints.

Performing adhoc data import and export jobs for adhoc requirements.

Provide training to internal teams and assist with expert knowledge on best practices for creating data flow and decision making visualizations.

Collect and document user requirements and develop logical and physical specifications.