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Data Analysis Jobs in Spring, TX (NOW HIRING)

Performs provider data analysis and reporting in response to external request from providers and/or regulatory agencies in which the analysis of data requires an evaluation of intangible variables.

Data Analyst Location: Houston, TX-Onsite * Bachelor's degree in Computer Science, Information Systems, or related field. * 5+ years of experience in data warehouse platform and ETL pipeline ...

The role performs exploratory data analysis, feature engineering, data pipeline development, and predictive modeling, working closely with business and technical partners to ensure solutions are ...

The role performs exploratory data analysis, feature engineering, data pipeline development, and predictive modeling, working closely with business and technical partners to ensure solutions are ...

The role performs exploratory data analysis, feature engineering, data pipeline development, and predictive modeling, working closely with business and technical partners to ensure solutions are ...

Create data analysis reports for leadership review. * Audit program files to ensure compliance with Veteran and Community-Based Services Program requirements. * Run data quality reports to assist ...

Work with Integration and Analytic resources to define data models to support integrations and analytics * Leverage tools for DataOps (CI/CD) Requirements * Bachelor's degree in Computer Science ...

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Data Analysis information

See Spring, TX salary details

$30.3K

$73.5K

$121K

How much do data analysis jobs pay per year?

As of Jun 9, 2026, the average yearly pay for data analysis 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 Data Analysis vs Data Analysis?

AspectData AnalysisData Analysis
Required CredentialsBachelor's degree in related field, certifications like Microsoft Excel, SQL, or TableauBachelor's degree in related field, certifications like Microsoft Excel, SQL, or Tableau
Work EnvironmentOffice settings, remote work, data-driven teamsOffice settings, remote work, data-driven teams
Industry UsageFinance, marketing, healthcare, techFinance, marketing, healthcare, tech
Common Search/ComparisonData AnalysisData Analysis

Data Analysis involves examining data sets to uncover trends and insights, often using tools like Excel, SQL, or Tableau. It is a fundamental role across industries such as finance, healthcare, and marketing. The term is broad and often used interchangeably with related roles, but it primarily focuses on interpreting data to support decision-making.

What are some common challenges data analysts face when working with cross-functional teams?

Data analysts often collaborate with cross-functional teams such as marketing, engineering, and finance, which can present challenges in aligning on goals and ensuring clear communication. Differences in technical expertise and priorities may require analysts to translate complex data findings into actionable insights for non-technical stakeholders. Building strong relationships and proactively clarifying project objectives can help overcome these challenges and lead to more impactful analysis.

What is data analysis?

Data analysis is the process of inspecting, cleaning, transforming, and modeling data to discover useful information, draw conclusions, and support decision-making. It involves using statistical and logical techniques to interpret raw data and identify patterns or trends. Data analysts often use specialized software and tools to visualize and report their findings, helping organizations make data-driven decisions.

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

To thrive as a Data Analyst, you need strong statistical knowledge, data manipulation skills, and a relevant degree in fields such as mathematics, statistics, or computer science. Familiarity with analytical tools like Excel, SQL, Python, R, and visualization platforms such as Tableau or Power BI is typically required, along with certifications like Google Data Analytics or Microsoft Certified Data Analyst. Critical thinking, attention to detail, and clear communication help you translate complex data into actionable insights for stakeholders. These skills are crucial for extracting meaningful patterns from data, driving business decisions, and ensuring data-driven strategies.
What are the most commonly searched types of Data Analysis jobs in Spring, TX? The most popular types of Data Analysis jobs in Spring, TX are:
What are popular job titles related to Data Analysis jobs in Spring, TX? For Data Analysis jobs in Spring, TX, the most frequently searched job titles are:
What job categories do people searching Data Analysis jobs in Spring, TX look for? The top searched job categories for Data Analysis jobs in Spring, TX are:
What cities near Spring, TX are hiring for Data Analysis jobs? Cities near Spring, TX with the most Data Analysis job openings:
Sr. Salesforce Data Analyst - Remote

Sr. Salesforce Data Analyst - Remote

NAVA Software Solutions

Houston, TX • On-site, Remote

$79K - $100K/yr

Full-time

Posted 6 days ago


Job description

NAVA Software solutions is looking for a Sr. Salesforce Data Analyst
Details:
Sr. Salesforce Data Analyst
Remote Project
Duration: 6-12 months
We are seeking a skilled Salesforce Data Analyst who specializes in Business Intelligence (BI) to join our team. In this role, you will be responsible for analyzing Salesforce data to uncover valuable insights, creating reports and dashboards using tools like Power BI and Sigma to visualize key metrics, and developing data models to support BI initiatives. Additionally, you will work closely with business stakeholders to standardize KPI data definitions, establish primary key relationships between Salesforce objects, and build tables that enable our solar sales business to track customer journey metrics and sales representative productivity effectively. Validation against existing manual reporting processes will also be a crucial aspect of this role.
Responsibilities:
  • Analyzing Salesforce data to identify trends, patterns, and insights relevant to our solar sales business.
  • Creating reports and dashboards using tools like Power BI and Sigma to visualize key metrics and performance indicators.
  • Developing data models and schemas to support BI initiatives, ensuring data accuracy and integrity in Snowflake data warehouse.
  • Collaborating with business stakeholders to standardize KPI data definitions and establish clear data analysis objectives.
  • Working with Salesforce objects to define primary key relationships, ensuring data consistency and efficiency.
  • Building tables and structures within Snowflake that allow our solar sales business to track customer journey metrics, including lead conversion rates, sales pipeline stages, and customer acquisition costs.
  • Implementing solutions to track sales representative productivity, including metrics such as lead follow-up times, deal closure rates, and revenue generated per representative.
  • Validating new reporting against existing manual reporting processes to ensure accuracy and consistency.
  • Providing training and support to users on data-related tools and processes, empowering them to leverage Salesforce data effectively for decision-making.

Skills and Qualifications:
  • Proficiency in the Salesforce CRM platform, with a deep understanding of Salesforce data architecture and object relationships.
  • Strong analytical and problem-solving skills, with the ability to translate complex data into actionable insights.
  • Experience with BI tools such as Power BI and Sigma, with the ability to create compelling visualizations.
  • Knowledge of data warehousing concepts and experience working with platforms like Snowflake.
  • Excellent communication and collaboration skills, with the ability to work closely with business stakeholders.
  • Certification in Salesforce (e.g., Salesforce Certified Administrator, Salesforce Certified Data Architect) is a plus, demonstrating expertise in Salesforce data management and analysis.

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About NAVA Software Solutions

Sourced by ZipRecruiter

NAVA is a strategic partner for companies seeking to develop or customize software and products. Our team of experts leverages cutting-edge technology and deep industry knowledge to provide customized solutions that drive business success. Whether you're looking to improve your operations, increase efficiency, or bring a new product to market, NAVA has the expertise and resources to help you achieve your goals. Trust us to be your partner in software and product development.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Rocky Hill, CT, US

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