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Manager Streamlit Jobs (NOW HIRING)

Career Now Brands

Data Platform Engineer

Royal Oak, MI · On-site

$85 - $95/hr

... Streamlit, APIs, utilities) * Collaborate with engineering teams to expose data through services and applications * Implement CI/CD for data and platform components, and manage infrastructure using ...

Streamlit

Executive Assistant, Product

Menlo Park, CA · On-site

$102K - $146K/yr

Effectively manage and maintain complex calendars for Product Leadership. * Book complex travel and manage team and executive level expenses. * Create, organize and maintain team mailing lists ...

Moffitt

$89K - $136K/yr

Streamlit * AWS - hands on use with AWS including but not limited to the following - * S3 * EC2 * SQS/SNS * Lambda * Secret Manager * Glue * Airflow * SQL development for Snowflake, Oracle, SQL ...

Odesus

Manager of Data Science

Burbank, CA · On-site

$67.31/hr

... Manager of Data Science position within our Sales organization's Data Science team. Our Data ... Develop self-serve interactive tools (Streamlit and/or Tableau) so partner teams can explore ...

Facet

Staff Data Analyst

... management and senior leadership teams. You should be an expert in using Python and SQL to build lightweight, highly actionable data reporting tools (using Streamlit and BigQuery-connected Google ...

Codvo.ai

... Streamlit, or similar frameworks * Familiarity with Databricks AI/BI or other data visualization tools * Exposure to data governance and metadata management frameworks * Experience working with cloud ...

TerraForm Power

Analyst, Performance

Manhattan, NY · On-site

... Manage end-to-end data flows, including ingestion, transformation, validation, and delivery to ... Streamlit apps, HTML reports) • Perform data validation and support ongoing data quality ...

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Manager Streamlit information

What is the difference between Manager Streamlit vs Data Analyst?

AspectManager StreamlitData Analyst
Required CredentialsBachelor's degree in CS, Data Science, or related field; experience with Streamlit and project managementBachelor's degree in Statistics, Data Science, or related field; proficiency in data analysis tools
Work EnvironmentCollaborative teams, project-based, tech-focusedData-focused, reporting, and insights generation
Employer & Industry UsageTech companies, startups, data-driven organizationsBusiness, finance, healthcare, and marketing sectors

The main difference is that a Manager Streamlit oversees the development and deployment of data apps using Streamlit, managing teams and projects, while a Data Analyst focuses on analyzing data, generating reports, and providing insights. Both roles require technical skills, but the Manager Streamlit role emphasizes project management and app development leadership.

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Manager Streamlit jobs near you
Infographic showing various Manager Streamlit job openings in the United States as of August 2026, with employment types broken down into 88% Full Time, 11% Part Time, and 1% Contract. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution.

Senior Business Intelligence Analyst / Test Manager

Siritech Solutions Corp

Austin, TX • On-site

Full-time

Re-posted 16 days ago

Job description



Senior Business Intelligence Analyst / Test Manager

Total Required Experience in Years: 1215 Years

Mode of Work: 100% Onsite, Austin, Texas

Job Description:

Seeking an experienced Senior Business Intelligence Analyst / Test Manager to support enterprise Performance Management, Analytics, and reporting initiatives. The ideal candidate will serve as a senior business/systems analyst responsible for gathering business, technical, and data requirements while leading testing activities for business intelligence and reporting solutions.

The consultant will collaborate closely with business users, IT leadership, data engineers, and analytics teams to develop reporting solutions, validate dashboards, perform complex data analysis, and ensure data quality. This role also requires experience with AI-assisted analytics, responsible AI practices, and mentoring business users on data and AI technologies.

Key Responsibilities:

  • Gather, analyze, and document business, technical, and data requirements.

  • Translate business needs into functional specifications, acceptance criteria, and test plans.

  • Develop and execute test strategies, test scenarios, and test cases.

  • Perform complex SQL data extraction, validation, and analysis.

  • Design, validate, and support Power BI and Tableau dashboards.

  • Collaborate with business stakeholders, developers, and data engineers.

  • Validate reports, dashboards, KPIs, and operational metrics.

  • Perform business intelligence and data warehouse analysis.

  • Communicate technical findings and data limitations to non-technical stakeholders.

  • Lead User Acceptance Testing (UAT) and reporting validation activities.

  • Support data governance and data quality initiatives.

  • Develop AI prompts and query strategies for business analytics.

  • Validate AI-generated outputs and ensure responsible AI usage.

  • Conduct training sessions and mentor users on BI tools, analytics, and AI capabilities.

  • Produce technical documentation and reporting artifacts.

Required Skills:

  • Business Intelligence

  • Business Analysis

  • Systems Analysis

  • Requirements Gathering

  • Test Management

  • Test Planning

  • Test Case Development

  • User Acceptance Testing (UAT)

  • SQL

  • Advanced SQL

  • Data Analysis

  • Data Validation

  • Power BI

  • Tableau

  • Dashboard Development

  • Dashboard Validation

  • Data Visualization

  • Reporting Solutions

  • Communication Skills

  • Stakeholder Management

Preferred Skills:

  • Data Warehousing

  • Business Intelligence Platforms

  • Healthcare Analytics

  • Health & Human Services

  • Data Governance

  • Data Quality

  • AI Prompt Engineering

  • Streamlit

  • Python

  • Responsible AI

  • Data Literacy Training

  • Staff Mentoring

Required Qualifications:

  • Minimum 1215 years of overall IT experience.

  • Minimum 10 years of experience gathering business requirements and translating complex data requests into actionable solutions.

  • Minimum 10 years of experience performing complex data analysis as a Business Intelligence Analyst, Senior Business Analyst, Systems Analyst, or Data Liaison.

  • Minimum 10 years of advanced SQL experience.

  • Minimum 10 years of experience creating and validating reports, dashboards, and data visualizations.

  • Minimum 10 years of experience using Power BI and/or Tableau.

  • Excellent communication, presentation, and stakeholder management skills.

  • Strong analytical and problem-solving abilities.

Preferred Qualifications:

  • Minimum 5 years of experience in Business Intelligence and Data Warehouse environments.

  • Minimum 5 years of experience supporting healthcare or similarly regulated industries.

  • Minimum 5 years of experience with data governance and data quality initiatives.

  • Experience developing and delivering data literacy training for non-technical users.

  • Experience mentoring business and technical teams.

  • Experience creating AI prompt catalogs using Streamlit and Python.

  • Experience implementing Responsible AI practices and governance standards.

Deliverables:

  • Business Requirements Documents (BRD)

  • Functional Specifications

  • Acceptance Criteria

  • Test Plans

  • Test Scenarios

  • Test Cases

  • SQL Validation Scripts

  • Dashboard Validation Reports

  • Power BI & Tableau Reports

  • Data Quality Reports

  • AI Prompt Catalogs

  • Training Materials

  • User Documentation

  • Status Reports

  • Knowledge Transfer Documentation

Education:

  • Bachelor\'s Degree in Computer Science, Information Systems, Business Administration, Data Analytics, or a related field (or equivalent work experience).