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Data Analyst No Experience Jobs in Spring, TX (NOW HIRING)

Experience working with trading data (e.g., PnL, risk, positions, settlements) and ETRM systems is ... Strong analytical and problem-solving skills with attention to detail. * Strong stakeholder ...

Experience working withtrading data (e.g., PnL, risk, positions, settlements) andETRM systems is ... Strongbusiness analysis skills, capable ofinterpreting trading requirements and translating them ...

The Jr. Data Analyst ensures that each well on Corva is ready for our customers to make real-time drilling and completions decisions and has a laser focus on accuracy and timeliness. The Jr. Analyst ...

The Data analyst will be part of the support team for ALL questions related to "Tool" and "Data ... Has experience with Microsoft Power BI, Power Pivot, Power Query, Visual Basic, Visual Basic Access ...

Showing results 21-40

Data Analyst No Experience information

See Spring, TX salary details

$30.3K

$73.5K

$121K

How much do data analyst no experience jobs pay per year?

As of Aug 12, 2026, the average yearly pay for data analyst no experience 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 does a data analyst with no experience do?

A data analyst collects, processes, and interprets data to help organizations make informed decisions. While many data analyst positions prefer candidates with experience, it is possible to start a career as a data analyst with no prior experience by learning relevant skills such as Excel, SQL, and data visualization tools, and by building a portfolio of projects. Entry-level roles or internships are great starting points, and many people transition into data analysis from other fields or after completing online courses and certifications.

Is it hard to get hired as a data analyst?

Getting hired as a data analyst with no experience can be challenging but is achievable with relevant skills such as Excel, SQL, and data visualization tools, along with certifications or coursework. Entry-level positions often require demonstrating analytical ability and a willingness to learn, but competition can be high depending on the job market and location.

What is the difference between Data Analyst No Experience vs Data Scientist?

AspectData Analyst No ExperienceData Scientist
Required CredentialsOften a bachelor's degree in related field; certifications like Microsoft Excel or SQL are commonTypically a master's degree or higher in data science, statistics, or related fields; advanced certifications
Work EnvironmentEntry-level roles in various industries, focusing on data collection, cleaning, and basic analysisMore advanced roles involving predictive modeling, machine learning, and complex data analysis
Employer & Industry UsageUsed across industries for reporting and basic analysisUsed in tech, finance, and research sectors for developing models and insights

In summary, Data Analyst No Experience roles are entry-level positions focusing on basic data tasks, while Data Scientists require advanced skills and education for complex analysis and modeling.

What are the key skills and qualifications needed to thrive as a data analyst with no experience?

To thrive as a Data Analyst with no experience, you need a solid understanding of statistics, data interpretation, and foundational knowledge of data analysis concepts, often supported by a relevant degree or coursework. Familiarity with tools like Microsoft Excel, SQL, and beginner-friendly data visualization platforms such as Tableau or Power BI is typically expected, and entry-level certifications can be advantageous. Strong analytical thinking, attention to detail, and effective communication skills help you translate data findings into actionable insights. These skills and qualities are crucial for ensuring accurate data analysis, clear reporting, and valuable contributions to data-driven decision-making.
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 Data Analyst No Experience jobs in Spring, TX? For Data Analyst No Experience jobs in Spring, TX, the most frequently searched job titles are:
What job categories do people searching Data Analyst No Experience jobs in Spring, TX look for? The top searched job categories for Data Analyst No Experience jobs in Spring, TX are:
What cities near Spring, TX are hiring for Data Analyst No Experience jobs? Cities near Spring, TX with the most Data Analyst No Experience job openings:
Infographic showing various Data Analyst No Experience job openings in Spring, TX as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $73,541 per year, or $35.4 per hour.

W2 Role - Data Analyst - Houston, TX HYBRID

Kanak Elite Services Inc

Houston, TX โ€ข On-site

Contractor

Re-posted 23 days ago


Job description

Hello There,

My name is Himanshu Sharma, and I serve as the Recruitment Lead at Kanak-IT INC. I am reaching out to share an excellent career opportunity for the role of Data Analyst with our esteemed client. If you are interested then please share your updated resume at Himanshu01@kanakits.com .

Job Description

Position               : Data Analyst

Location               : Houston, TX HYBRID (3 days onsite)

Duration              : Contract to hire


PLEASE NOTE: During interview, there will be an assessment given, (duration 30 min) assessing analytical skills & analysis. Total duration of interviews: 1-1/2 hours.
About the role:
The Data Analyst plays a crucial role in driving business success by developing and implementing BI requirements, designing data flows, and creating impactful visualizations that measure and enhance business performance. This role offers the opportunity to collaborate with business leaders, engineers, and analysts to identify innovative data solutions and contribute to continuous improvement and operational excellence. The Data Analyst analyzes data, trends, and insights to create or generate business reports and analytics for internal groups or customers. They obtain and maintain data sets on which analysis is based and collaborate with internal resources to identify and action specific data needs for the business.
Your responsibilities will include:
• Understand business needs and drive process improvements utilizing all available tools and data.
• Develop and document BI reporting requirements to support performance measurement and improvement objectives.
• Collaborate with business leaders, engineers, and analysts to identify new data visualizations and approaches to measure workflow performance.
• Create visually appealing and easy-to-understand reports and dashboards using Microsoft Power BI.
• Design, develop, and maintain data models and programmatic routines (ETL) to acquire data from disparate systems for analysis and presentation.
• Troubleshoot and resolve technical issues in queries, reports, and data integrity, and provide recommendations for optimal data flow and capture.
• Perform data investigation and analysis independently and collect and track data to provide ongoing reporting and ad hoc analysis.
• Use data to highlight key organizational trends and collaborate with businesses to identify insights, trends, and potential opportunities.
• Develop and maintain analytical tools, assist with the development and communication of data analytics strategy, and identify opportunities to optimize systems and reporting.
Required qualifications:
• Minimum of a bachelor’s degree in computer science, CIS/MIS, engineering, mathematics, statistics, or equivalent experience.
• Minimum of 2-3 years of professional experience with data retrieval skills, proficiency in report writing, and data visualization using Microsoft Power BI or equivalent.
• Demonstrated ability to write SQL queries to handle joins, aggregations, and performance optimization.
• Strong experience developing interactive dashboards, building measures, and implementing efficient data models.
• High proficiency in Excel for analyzing large datasets using pivot tables, advanced formulas, and data cleansing techniques.
• Strong problem-solving skills, with the capacity to define problems, collect data, investigate facts, and draw conclusions.
Preferred qualifications:
• Strong interpersonal, oral, and written communication skills.
• Ability to meet deadlines while multitasking.
• Flexible and able to work in a fast-paced, ever-changing environment with multiple priorities/projects.
• Self-starter with a proven ability to take ownership of job responsibilities and ensure successful completion of all projects and requests.

Someone analytical
Drives process improvement
Support data development
Comfortable asking questions
Problem-solving mindset
Organized