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Manager Data Analyst Machine Learning Jobs in Texas

Photon

Machine Learning Engineer - NJ

Addison, TX · On-site

$54 - $71.50/hr

Prepare raw data for analysis, including cleaning, imputing missing values, and standardizing data formats using Python data frameworks (e.g., Pandas, NumPy). Machine Learning Model Implementation:

Photon

Machine Learning Engineer - NJ

Addison, TX · On-site

$54 - $71.50/hr

Prepare raw data for analysis, including cleaning, imputing missing values, and standardizing data formats using Python data frameworks (e.g., Pandas, NumPy). Machine Learning Model Implementation:

CVS Health

Machine Learning Engineer

Irving, TX · On-site +1

$96K - $144K/yr

... Product Managers to drive towards business objectives and key performance indicators (KPIs ... Contributing to large-scale applications development, data science, or data analytics projects; and ...

Ascentt

Manufacturing Data Analyst

Plano, TX · On-site

We turn enterprise data into real-time decisions using advanced machine learning and GenAI. Our ... Strong consultative skills : stakeholder management, process mapping, requirements gathering, data ...

ExxonMobil

Field Analytics Data Analyst

Midland, TX · On-site

... Build and manage data pipelines integrating structured and unstructured data sources • Design ... machine learning, and digital oilfield technologies. • Mentor operations team members on data ...

Cliftonlarsonallen

Data Analyst Senior

Dallas, TX · On-site +1

$85K - $107K/yr

The Data Analyst Senior cleans up data for analysis and/or visual display in a report or dashboard ... Develop predictive analytics, machine learning, and artificial intelligence techniques. Use ...

Avride

Machine Learning Engineer

Austin, TX

Additionally, you will analyze the latest research, assess the applicability of emerging deep ... Curate and Manage Large-Scale Datasets: Oversee data collection, preprocessing, and augmentation to ...

Shipwell

Machine Learning Engineer

Austin, TX · On-site +1

Our solution combines everything shippers need, from transportation management and visibility to ... Working closely with engineering, analytics, data science, and product teams, you'll take our ...

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All JobsData Analyst Machine Learning JobsManager Data Analyst Machine Learning JobsManager Data Analyst Machine Learning Jobs in Texas

Manager Data Analyst Machine Learning information

What is the difference between Manager Data Analyst Machine Learning vs Data Scientist?

AspectManager Data Analyst Machine LearningData Scientist
Required CredentialsBachelor's/Master's in Data Science, Analytics, or related; experience in machine learningBachelor's/Master's/PhD in Data Science, Statistics, or related; strong programming skills
Work EnvironmentTeam leadership, project management, cross-department collaborationResearch, model development, data exploration
Employer & Industry UsageBusiness analytics, tech companies, finance, healthcareTech firms, research institutions, consulting

While both roles involve data analysis and machine learning, the Manager Data Analyst Machine Learning focuses on leading teams and managing projects, whereas Data Scientists primarily develop models and perform in-depth data research.

What are the most commonly searched types of Data Analyst Machine Learning jobs in Texas? The most popular types of Data Analyst Machine Learning jobs in Texas are:
What cities in Texas are hiring for Manager Data Analyst Machine Learning jobs? Cities in Texas with the most Manager Data Analyst Machine Learning job openings:
Manager Data Analyst Machine Learning jobs near you
BI Data Analyst II

BI Data Analyst II

Service Corporation International

Houston, TX • On-site

Full-time

Re-posted 2 days ago

Service Corporation International rating

6.9

Company rating: 6.9 out of 10

Based on 92 frontline employees who took The Breakroom Quiz

3rd of 8 rated funeral services

Job description

Our associates celebrate lives. We celebrate our associates.
JOB RESPONSIBILITIES
  • Build and manage end-to-end ETL/ELT workflows for ingesting, transforming, and loading data from multiple sources.
  • Design, develop, and maintain scalable data integration and transformation solutions using Azure Synapse Analytics Pipelines.
  • Develop, optimize, and monitor data pipelines to ensure data quality, reliability, and performance.
  • Create and maintain data models, datasets, and reporting solutions using Power BI.
  • Design interactive dashboards, reports, and visualizations to support business intelligence and decision-making.
  • Manage data refresh schedules, report deployments, and security configurations within Power BI.
  • Collaborate with business stakeholders to gather reporting and analytics requirements.
  • Develop and implement dimensional data models, including star and snowflake schemas, to support data warehousing and business intelligence initiatives.
  • Perform data analysis and data profiling to identify data quality issues and improve data integrity across systems.
  • Leverage Artificial Intelligence (AI) and Machine Learning (ML) technologies to support advanced analytics, predictive modeling, and business insights.
  • Collaborate with data scientists, business analysts, and stakeholders to integrate AI-driven solutions into enterprise reporting and decision-making processes.
  • Evaluate emerging AI, Generative AI, and cloud-based analytics technologies to identify opportunities for innovation and process improvement.
  • Implement AI-powered data quality, anomaly detection, forecasting, and automation solutions to enhance business operations and reporting capabilities.

MINIMUM REQUIREMENTS
Education
Bachelor's degree in computer science, Information Systems, Engineering, Business Analytics, Data Science, or a related field.
Experience
  • Five (5) years of Information Technology experience with a strong focus on data integration, data warehousing, business intelligence, and analytics solutions.
  • Three (3) years of hands-on experience developing and maintaining Azure Synapse Analytics Pipelines.
  • Experience integrating data from multiple sources, including cloud and on-premises systems.
  • Three (3) years of experience designing, developing, and supporting Power BI dashboards, reports, and datasets.
  • Strong experience in data modeling, dimensional modeling, and data transformation techniques.
  • Experience developing and optimizing SQL queries, stored procedures, database objects, and SQL Server solutions.
  • Experience implementing data quality, validation, and governance processes.
  • Experience managing Power BI workspaces, datasets, gateways, row-level security (RLS), and report deployment processes.
  • Experience collaborating with business users, data analysts, data scientists, and technical teams to deliver reporting, analytics, and AI-driven solutions.
  • Experience supporting AI/ML initiatives through data engineering, data preparation, and analytics platforms is preferred.

KNOWLEDGE, SKILLS & ABILITIES
  • Strong knowledge of Azure Synapse Analytics, including Pipelines, Data Integration, and Data Warehousing capabilities.
  • Advanced proficiency in SQL for data extraction, transformation, analysis, and performance tuning.
  • Strong experience designing and maintaining ETL/ELT solutions.
  • Proficiency in Power BI, including report development, dashboard creation, DAX, Power Query, and data modeling.
  • Experience developing interactive visualizations and executive-level reporting solutions.
  • Understanding of dimensional modeling concepts, including star and snowflake schemas.
  • Knowledge of data warehousing principles and best practices.
  • Understanding of Artificial Intelligence (AI), Machine Learning (ML), Generative AI, and advanced analytics concepts.
  • Experience supporting AI/ML data pipelines, feature engineering, model deployment processes, and AI-enabled reporting solutions.
  • Knowledge of Azure AI services, cloud analytics platforms, and modern data architecture patterns is desirable.
  • Strong analytical and problem-solving skills with the ability to translate business requirements into technical solutions.
  • Strong communication and collaboration skills for working with business stakeholders and technical teams.
  • Ability to manage multiple priorities and deliver high-quality solutions in a fast-paced environment.

Postal Code: 77019
Category (Portal Searching): Information Technology
Job Location: US-TX - Houston

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