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Data Reporting Analyst Jobs in Spring, TX (NOW HIRING)

The Business Intelligence Data Analyst owns enterprise reporting, KPI governance, and operational performance visibility, enabling real-time insight into revenue, backlog, margin, labor utilization ...

The Business Intelligence Data Analyst owns enterprise reporting, KPI governance, and operational performance visibility, enabling real-time insight into revenue, backlog, margin, labor utilization ...

The Business Intelligence Data Analyst owns enterprise reporting, KPI governance, and operational performance visibility, enabling real-time insight into revenue, backlog, margin, labor utilization ...

The Data Analyst will provide data analysis, reporting, and visualization support to the Statistics & Data Science team across post-market surveillance, manufacturing, R&D, and clinical data sources.

Reporting to the Director, Enterprise Data and Applications, you will be responsible for building, maintaining, and governing analytical data solutions that serve operational, commercial, and ...

Data Analyst

Houston, TX · Remote

$40 - $45/hr

Data Analyst Strong experience in data analysis, business intelligence, dashboarding, and executive reporting. * Advanced SQL skills for querying, joining, validating, and analyzing large datasets.

A Data Analyst will leverage data engineering and BI development techniques to pipeline, automate ... Develop automated reports, conduct analyses, and provide visibility into KPIs and performance ...

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Data Reporting Analyst information

See Spring, TX salary details

$14

$36

$55

How much do data reporting analyst jobs pay per hour?

As of Jun 22, 2026, the average hourly pay for data reporting analyst in Spring, TX is $36.10, according to ZipRecruiter salary data. Most workers in this role earn between $27.31 and $44.66 per hour, depending on experience, location, and employer.

What is the difference between Data Reporting Analyst vs Data Analyst?

AspectData Reporting AnalystData Analyst
Required SkillsData visualization, reporting tools, SQLData analysis, statistical skills, SQL
Work EnvironmentBusiness intelligence teams, reporting departmentsData science teams, analytics departments
Common CertificationsMicrosoft Power BI, Tableau certificationsGoogle Data Analytics, SAS certifications

While both roles involve working with data, Data Reporting Analysts primarily focus on creating reports and dashboards to communicate insights, whereas Data Analysts perform deeper data analysis, interpret trends, and provide strategic recommendations. The roles often overlap, but the Reporting Analyst emphasizes visualization and reporting tools, making them essential for presenting data to stakeholders efficiently.

What are the key skills and qualifications needed to thrive as a Data Reporting Analyst, and why are they important?

To thrive as a Data Reporting Analyst, you typically need strong analytical abilities, proficiency in data visualization, and a solid understanding of statistics, often supported by a degree in a quantitative field. Familiarity with tools like SQL, Microsoft Excel, Tableau, or Power BI, as well as experience with database management systems, is highly valued. Attention to detail, effective communication, and problem-solving skills are crucial soft skills for interpreting data and sharing insights with stakeholders. These competencies enable Data Reporting Analysts to provide accurate, actionable reports that inform business decisions and drive organizational success.

Is AI replacing data analysts?

AI is transforming the role of data reporting analysts by automating routine data processing and analysis tasks, but it does not fully replace the need for human expertise in interpreting complex data, making strategic decisions, and understanding business context. Data analysts who develop skills in data visualization, programming, and AI tools remain valuable in leveraging automation effectively. The role is evolving to include managing AI-driven processes and ensuring data quality.

How does a Data Reporting Analyst typically collaborate with other departments within an organization?

Data Reporting Analysts frequently work cross-functionally, partnering with teams such as finance, marketing, operations, and IT to gather requirements, understand business objectives, and ensure the accuracy of reports. They often act as a bridge between technical data systems and non-technical stakeholders, translating complex data findings into actionable insights. Regular meetings, project updates, and collaborative data validation are common, making strong communication skills essential for success in this role.

What is a reporting analyst's salary?

The salary of a reporting analyst typically ranges from $55,000 to $85,000 annually, depending on experience, location, and industry. Entry-level roles may start lower, while experienced analysts with skills in SQL, Excel, and data visualization tools can earn higher salaries. Certifications and advanced analytics skills can also influence compensation.

What does a data reporting analyst do?

A data reporting analyst collects, analyzes, and interprets data to generate reports that support business decision-making. They use tools like Excel, SQL, or data visualization software to present insights clearly and accurately, often working with large datasets and ensuring data quality. Strong analytical skills and attention to detail are essential in this role.

Is a data analyst highly paid?

Data analysts are generally well-compensated, with salaries varying based on experience, location, and industry. Entry-level roles may start lower, but experienced analysts with skills in SQL, Excel, and data visualization tools can earn competitive salaries, especially in high-demand sectors.
What are popular job titles related to Data Reporting Analyst jobs in Spring, TX? For Data Reporting Analyst jobs in Spring, TX, the most frequently searched job titles are:
What job categories do people searching Data Reporting Analyst jobs in Spring, TX look for? The top searched job categories for Data Reporting Analyst jobs in Spring, TX are:
What cities near Spring, TX are hiring for Data Reporting Analyst jobs? Cities near Spring, TX with the most Data Reporting Analyst job openings:
Infographic showing various Data Reporting Analyst job openings in Spring, TX as of June 2026, with employment types broken down into 91% Full Time, 7% Part Time, 1% Temporary, and 1% Contract. Highlights an 82% Physical, 7% Hybrid, and 11% Remote job distribution, with an average salary of $75,096 per year, or $36.1 per hour.
BI Data Analyst II

Full-time

Posted 12 days ago


Service Corporation International rating

6.8

Company rating: 6.8 out of 10

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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: 77019Category (Portal Searching): Information TechnologyJob Location: US-TX - Houston

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