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Weekend Data Analyst Sql Excel Jobs in Spring, TX

K2 Group Inc.

Data Analyst

Houston, TX · On-site

Proficiency with analytical tools (Excel, Power BI, Tableau, or similar) * Strong ability to translate complex data into clear, actionable insights. Preferred Qualifications * Experience with Army ...

Adecco

Marketing Data Analyst

Spring, TX

$28.53/hr

... experience with SQL and working with structured/curated datasets (Databricks or similar ... Excel and financial modeling skills. What's in this Marketing Data Analyst position for you? • ...

Apidel Technologies

Data Analyst: III

Houston, TX · On-site

Medium to Advanced Data Analytical Skills including proficiency with advanced Excel, Power BI etc. are required Job Responsibilities Lead efforts to execute and/or oversee the following activities:

Sphere

Data Analyst (Spring, TX)

Spring, TX

Strong proficiency in Excel required; experience with SQL, Python, or other data management tools ... Strong analytical and problem-solving skills with exceptional attention to detail * Excellent ...

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How much do weekend data analyst sql excel jobs pay per year?

As of Jul 17, 2026, the average yearly pay for weekend data analyst sql excel in Spring, TX is $73,541.00, according to ZipRecruiter salary data. Most workers in this role earn between $55,600.00 and $86,300.00 per year, depending on experience, location, and employer.

What is the difference between Weekend Data Analyst Sql Excel vs Weekend Business Intelligence Analyst?

AspectWeekend Data Analyst Sql ExcelWeekend Business Intelligence Analyst
Required SkillsSQL, Excel, data analysis, reportingSQL, data visualization, BI tools, reporting
Work EnvironmentData-focused, project-based, flexible hoursData visualization, dashboard creation, strategic analysis
Industry UsageFinance, marketing, retailCorporate, tech, consulting

Weekend Data Analysts SQL Excel focus on data extraction, analysis, and reporting using SQL and Excel tools, often in flexible or part-time roles. Weekend Business Intelligence Analysts build dashboards and interpret data trends using BI tools, with a broader focus on strategic insights. Both roles require similar technical skills but differ in scope and application.

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Weekend Data Analyst Sql Excel jobs near you
BI Data Analyst II

BI Data Analyst II

Service Corporation International

Houston, TX • On-site

Full-time

Re-posted 7 days ago

Service Corporation International rating

6.8

Company rating: 6.8 out of 10

Based on 93 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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