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

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 ...

Reports to: VP Data & Analytics As a Senior Data Scientist , you will: * Partner with business leaders to identify high-value opportunities in areas such as demand planning, capacity/production ...

Reports to: VP Data & Analytics As a Senior Data Scientist , you will: * Partner with business leaders to identify high-value opportunities in areas such as demand planning, capacity/production ...

As a Data Protection Senior Analyst, you'll support the delivery of data protection, data governance, and privacy solutions for Avanade clients. You'll work under the guidance of senior team members ...

This role focuses on analyzing complex datasets, building predictive models, and advising multidisciplinary teams in architecture, engineering, and consulting services. The Senior Data Scientist will ...

The Senior Data Scientist will leverage advanced analytics, machine learning, and AI to generate actionable insights that drive business decisions and project outcomes and support data and AI use ...

This role focuses on analyzing complex datasets, building predictive models, and advising multidisciplinary teams in architecture, engineering, and consulting services. The Senior Data Scientist will ...

We need a Sr. Charles River Data Analyst who can help client integrate Charles River Data with other accounting system and data management system. Should have prior experience in mapping data from ...

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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 12, 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.
Data Analyst

Data Analyst

Lonestar Electric Supply

Houston, TX • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired 1 day ago. Applications are no longer accepted.


Lonestar Electric Supply rating

7.9

Company rating: 7.9 out of 10

Based on 9 frontline employees who took The Breakroom Quiz

93rd of 338 rated retail wholesalers


Job description

Description:

VETERANS ARE ENCOURAGED TO APPLY


Lonestar Electric Supply is seeking a highly analytical and detail-oriented Data Analyst to join our Operations team. Reporting directly to the Divisional Vice President (DVP) of Operations, this role will be responsible for gathering, analyzing, and interpreting data to drive strategic decision-making and improve operational efficiencies. The ideal candidate will have strong problem-solving skills, a deep understanding of data analytics, and the ability to translate complex datasets into actionable insights.


Responsibilities:

  • Collect, analyze, and interpret operational data to support decision-making and process improvements.
  • Develop and maintain reports, dashboards, and key performance indicators (KPIs) to track operational performance.
  • Identify trends, patterns, and anomalies in data to provide actionable insights.
  • Work closely with cross-functional teams to optimize workflows and enhance efficiency.
  • Assist in forecasting and demand planning by analyzing historical data and market trends.
  • Ensure data accuracy and integrity by maintaining and validating datasets.
  • Present findings and recommendations to senior leadership in a clear and concise manner.
  • Support ad-hoc data requests and projects as needed.
  • Perform other duties as assigned by management.

Requirements:

  • Bachelor’s degree in Data Science, Business Analytics, Statistics, or a related field.
  • 2+ years of experience in data analysis, preferably within operations or supply chain.
  • Proficiency in data visualization tools such as Power BI, Tableau, or similar.
  • Advanced skills in Microsoft Excel and SQL; experience with Python or R is a plus.
  • Strong problem-solving and critical-thinking abilities.
  • Excellent communication and presentation skills.
  • Ability to work independently and manage multiple priorities in a fast-paced environment.
  • Knowledge of the electrical supply or distribution industry is a plus.

Physical Requirements:

  • Lifting up to 25 lbs. may be required infrequently.
  • Must be able to remain in a stationary position 50% of the time.
  • Constantly operates a computer and other office productivity machinery, such as a calculator, copy machine, and computer printer.

Benefits:

  • Medical, dental, life, and vision insurance.
  • 401(k) Retirement Plan with company match.
  • Paid Time Off.
  • Specified Holiday Pay.

Disclaimer: This job description outlines the general responsibilities and requirements for the position. Additional duties may be assigned as needed to meet business objectives. At Lonestar Electric Supply, we MAKE IT HAPPEN by leveraging data-driven insights to enhance operational performance and efficiency.

Requirements: