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

Senior Data Analyst

Houston, TX · On-site

$82K - $103K/yr

The Senior Data Analyst, FP&A & Financial Systems owns financial reporting, forecasting, budgeting, analytics, and financial systems logic across the enterprise. This role partners closely with ...

Senior Data Analyst

Houston, TX · On-site

$82K - $103K/yr

The Senior Data Analyst, FP&A & Financial Systems owns financial reporting, forecasting, budgeting, analytics, and financial systems logic across the enterprise. This role partners closely with ...

Senior Data Analyst

Houston, TX · On-site

$82K - $103K/yr

The Senior Data Analyst, FP&A & Financial Systems owns financial reporting, forecasting, budgeting, analytics, and financial systems logic across the enterprise. This role partners closely with ...

Senior Data Analyst

Houston, TX

$82K - $103K/yr

The Senior Data Analyst, FP&A & Financial Systems owns financial reporting, forecasting, budgeting, analytics, and financial systems logic across the enterprise. This role partners closely with ...

Senior Data Developer Location: Houston TX - 2 days/week hybrid Type: Full time/Direct Hire As the ... Work with Integration and Analytic resources to define data models to support integrations and ...

Senior Data Engineer

Houston, TX · Remote

$123K - $154K/yr

The Senior Data Engineer plays a pivotal role in operationalizing critical data and analytics that support digital business initiatives, with a strong focus on data analytics and delivery through the ...

Provider Data Analyst Sr.

Houston, TX · On-site

$78K - $134K/yr

Provider Data Analyst Sr. Provider Data Analyst Sr. Location: This role requires associates to be in-office1 - 2days per week, fostering collaboration and connectivity, while providing flexibility to ...

Provider Data Analyst Sr. Location: This role requires associates to be in-office1 - 2days per week, fostering collaboration and connectivity, while providing flexibility to support productivity and ...

Senior Data Architect

Houston, TX · On-site

$60.75 - $81.50/hr

Senior Data Architect We are seeking a Senior Data Architect to join a project team that will be ... Experience: 10+ years of experience in data architecture, data analysis, or related IT roles, with ...

Collect, analyze, and interpret operational data to support decision-making and process ... Present findings and recommendations to senior leadership in a clear and concise manner. * Support ...

Collect, analyze, and interpret operational data to support decision-making and process ... Present findings and recommendations to senior leadership in a clear and concise manner. * Support ...

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Showing results 1-20

Senior Data Analyst information

See Spring, TX salary details

$48.9K

$88.3K

$120.6K

How much do senior data analyst jobs pay per year?

As of Jun 11, 2026, the average yearly pay for senior data analyst in Spring, TX is $88,305.00, according to ZipRecruiter salary data. Most workers in this role earn between $76,500.00 and $96,600.00 per year, depending on experience, location, and employer.

Are you a senior at 55?

Age does not determine whether someone can be a senior data analyst; experience, skills, and qualifications are the primary factors. Many professionals continue to work in data analysis roles well into their 50s and beyond, often bringing valuable industry knowledge. Employers typically focus on relevant expertise, certifications, and ability to perform the job rather than age.

What are Senior Data Analysts?

Senior Data Analysts are experienced professionals who collect, process, and analyze complex data sets to help organizations make data-driven decisions. They often lead analytics projects, design data models, and communicate findings to stakeholders using reports and visualizations. In addition to technical expertise with tools like SQL, Python, or R, they frequently mentor junior analysts and work closely with business leaders to identify opportunities for improvement. Their insights can drive strategy, optimize operations, and support organizational goals.

What Does a Senior Data Analyst Do?

A senior data analyst develops and leads a team of data analysts in business or research projects. Job duties include consulting with other departments and management, conducting research using analytical tools, developing business solutions, and writing reports. Qualifications for a career as a senior data analyst include a bachelor’s degree in statistics, computer science, or a related field; job experience in data analytics; familiarity with data modeling languages such as R and Python; and leadership skills.

What should a 70 year old be doing every day at home?

A senior data analyst at 70 can engage in daily activities that promote mental and physical well-being, such as reading, light exercise, and hobbies. Staying socially connected and maintaining a routine can support overall health and cognitive function, which are important for continued productivity and engagement at any age.

What is the difference between Senior Data Analyst vs Data Scientist?

AspectSenior Data AnalystData Scientist
Required CredentialsBachelor's degree in data-related field; experience in analytics toolsBachelor's or master's in data science, statistics, or related fields; often more advanced certifications
Work EnvironmentBusiness intelligence teams, analytics departmentsResearch teams, data science departments, R&D
Employer & Industry UsageFinance, healthcare, retail, tech companiesTech firms, startups, research institutions
Common Search & ComparisonOften compared for analytical roles with data scienceMore advanced, predictive modeling focus

The main difference between a Senior Data Analyst and a Data Scientist lies in their focus and skill set. Senior Data Analysts primarily handle data analysis, reporting, and visualization, while Data Scientists work on predictive modeling, machine learning, and advanced algorithms. Both roles require strong analytical skills, but Data Scientists typically have more technical expertise in programming and statistical modeling.

What are some common challenges Senior Data Analysts face when collaborating with cross-functional teams?

Senior Data Analysts often work closely with departments such as product, marketing, and engineering to align data insights with business objectives. A common challenge is translating complex data findings into actionable recommendations for non-technical stakeholders. Additionally, balancing multiple priorities and managing expectations across teams can require strong communication and project management skills. Proactively building relationships and maintaining open lines of communication can help overcome these challenges and ensure successful collaboration.

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

To thrive as a Senior Data Analyst, you need advanced analytical skills, a strong foundation in statistics, and experience with data modeling, typically supported by a relevant degree in mathematics, statistics, or computer science. Expertise in data visualization tools (like Tableau or Power BI), SQL, and programming languages such as Python or R is often required, along with familiarity with big data platforms. Outstanding problem-solving, communication, and stakeholder management skills set top performers apart. These competencies ensure accurate data-driven insights and effective collaboration with business teams to drive strategic decision-making.

How often should a 75 year old woman take a shower?

A senior data analyst role does not influence personal hygiene routines; generally, a 75-year-old woman should shower as needed for cleanliness, typically every 1-3 days, depending on personal health, activity level, and skin condition. Regular bathing helps maintain hygiene and skin health, but frequency can vary based on individual preferences and medical advice.

In what grade is senior?

The term 'senior' in the job title Senior Data Analyst typically indicates a higher level of experience and responsibility within the role, often requiring several years of relevant work experience and advanced skills in data analysis tools like SQL, Python, or R. It does not correspond to a specific grade or educational level but reflects a seniority level in the professional hierarchy.
More about Senior Data Analyst jobs
What are the most commonly searched types of Data Analyst jobs in Spring, TX? The most popular types of Data Analyst jobs in Spring, TX are:
What are popular job titles related to Senior Data Analyst jobs in Spring, TX? For Senior Data Analyst jobs in Spring, TX, the most frequently searched job titles are:
What job categories do people searching Senior Data Analyst jobs in Spring, TX look for? The top searched job categories for Senior Data Analyst jobs in Spring, TX are:
What cities near Spring, TX are hiring for Senior Data Analyst jobs? Cities near Spring, TX with the most Senior Data Analyst job openings:
Infographic showing various Senior Data Analyst job openings in Spring, TX as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $88,305 per year, or $42.5 per hour.
Sr. Data Analyst Snowflake

Sr. Data Analyst Snowflake

NAVA Software Solutions

Houston, TX • On-site

$82K - $103K/yr

Full-time

Posted 25 days ago


Job description

NAVA Software solutions is looking for a Senior Data Analyst Snowflake
Details:
Senior Data Analyst -Snowflake
Location: Houston TX - Onsite
Duration: Full time /Direct Hire
Job Summary: The Senior Snowflake Data Analyst plays a crucial role in leveraging the Snowflake data platform to extract meaningful insights, support decision-making processes, and optimize data-related operations. This senior-level position involves advanced data analysis, database management, and collaboration with cross-functional teams to ensure effective utilization of Snowflake in meeting business objectives.
Key Responsibilities:
  1. Data Analysis and Interpretation:
    • Conduct advanced data analysis using Snowflake, extracting actionable insights from complex datasets.
    • Interpret and communicate findings to both technical and non-technical stakeholders to drive data-informed decision-making.
  1. Database Management:
    • Design and implement optimized Snowflake data structures, including tables, views, and stored procedures.
    • Develop and maintain efficient ETL processes to ensure the timely and accurate flow of data into and out of Snowflake.
  1. Query Optimization:
    • Optimize SQL queries for performance and efficiency, ensuring the best use of Snowflake's capabilities.
    • Collaborate with database administrators and developers to fine-tune database performance.
  1. Data Governance and Security:
    • Implement and enforce data governance policies within Snowflake to maintain data integrity and security.
    • Work closely with security teams to ensure compliance with industry standards and regulations.
  1. Collaboration with Stakeholders:
    • Collaborate with business analysts, data scientists, and other stakeholders to understand business requirements and provide data-driven solutions.
    • Act as a subject matter expert, providing guidance on the use of Snowflake for various analytical purposes.
  1. Performance Monitoring and Reporting:
    • Monitor and analyze system performance metrics to proactively identify and address potential issues.
    • Generate regular reports on data usage, performance, and system health.
  1. Documentation:
    • Maintain comprehensive documentation of database structures, data flows, and ETL processes within Snowflake.
    • Develop and update documentation for data standards and best practices.
  1. Training and Mentoring:
    • Provide training and mentorship to junior data analysts or other team members on Snowflake best practices and advanced analytics.

Qualifications:
  • Bachelor's or Master's degree in Data Science, Computer Science, or a related field.
  • Proven experience as a data analyst with a focus on Snowflake data platform.
  • Advanced proficiency in SQL and experience with Snowflake-specific SQL syntax.
  • Strong understanding of data warehousing concepts and best practices.
  • Excellent analytical, problem-solving, and communication skills.

Preferred Skills:
  • Snowflake Certification.
  • Experience with data visualization tools (e.g., Tableau, Power BI).
  • Knowledge of cloud platforms (e.g., AWS, Azure) and their integration with Snowflake.
  • Familiarity with data modeling and schema design.

NAVA Software Solutions logo

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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