Data Analyst

Stenzo Tech; Dallas (TX); On-site; USD 52,000 - 78,000; Full time

Job summary

Stenzo Tech seeks a Data Analyst in Dallas, TX to transform raw data into actionable insights, support business decisions, and build dashboards for stakeholders. The role emphasizes data quality, cross-functional collaboration, and clear communication of findings.

The ideal candidate will handle data from multiple sources, create reports, and translate questions into analytical solutions using Excel, SQL, and BI tools. Entry to mid-level professionals and new graduates are encouraged to apply.

Qualifications

• Bachelor's or Master's degree in data-related field as listed in requirements.
• Strong analytical and problem-solving skills.
• Proficiency in Microsoft Excel.
• Working knowledge of SQL and relational databases.
• Understanding of data analysis and visualization concepts.
• Attention to detail and ability to handle large datasets.
• Excellent written and verbal communication skills.
• Ability to translate analytical findings into clear business insights.
• Ability to work independently and as part of a team.

Responsibilities

• Collect, clean, organize, and analyze data from multiple sources.
• Identify trends, patterns, relationships, and anomalies in business data.
• Develop and maintain reports, dashboards, and data visualizations for stakeholders.
• Write and optimize SQL queries to extract and analyze data.
• Use Excel, Power BI, Tableau, or similar tools to analyze and present data.
• Translate business questions into analytical solutions.
• Perform data validation and quality checks.
• Prepare recurring and ad-hoc reports for business and operational teams.
• Track KPIs and provide insights into business performance.
• Collaborate with cross-functional teams.
• Present analytical findings to technical and non-technical stakeholders.
• Document data sources, processes, and methodologies.
• Support process improvement initiatives with data-driven analysis.

Skills

Analytical skills

Problem-solving

Excel

SQL

Data visualization concepts

Attention to detail

Communication

Teamwork

Education

Bachelor's or Master's degree in Data Science, Business Analytics, Statistics, Mathematics, Computer Science, Information Systems, Economics, Finance, Engineering, or related field

Tools

Power BI

Tableau

Looker

Python

Job description

Data Analyst

Location: Dallas, TX
Experience: Entry-Level to Mid-Level Professionals; New Graduates with Relevant Analytical Experience Encouraged
Employment Type: Full-Time
Visa: All Visa Types Considered, subject to applicable employment requirements

About the Opportunity

We are currently hiring for a Data Analyst position with one of our clients in Dallas, TX. This is an excellent opportunity for professionals interested in data analysis, business intelligence, reporting, data visualization, and data-driven decision-making.

The ideal candidate will have strong analytical and problem-solving skills, attention to detail, and the ability to transform raw data into meaningful insights for business and operational teams.

Qualified new graduates with relevant coursework, internships, academic projects, or hands-on experience in data analytics are encouraged to apply.

Key Responsibilities

• Collect, clean, organize, and analyze data from multiple sources.
• Identify trends, patterns, relationships, and anomalies within business data.
• Develop and maintain reports, dashboards, and data visualizations for stakeholders.
• Write and optimize SQL queries to extract and analyze data from databases.
• Use Excel, Power BI, Tableau, or similar tools to analyze and present data.
• Translate business questions and requirements into analytical solutions.
• Perform data validation and quality checks to ensure accuracy and consistency.
• Prepare recurring and ad-hoc reports for business and operational teams.
• Track key performance indicators (KPIs) and provide insights into business performance.
• Collaborate with business, technology, finance, operations, and other cross-functional teams.
• Present analytical findings and recommendations to both technical and non-technical stakeholders.
• Document data sources, analytical processes, reporting logic, and methodologies.
• Support process improvement initiatives through data-driven analysis.

Required Qualifications

• Bachelor's or Master's degree in Data Science, Business Analytics, Statistics, Mathematics, Computer Science, Information Systems, Economics, Finance, Engineering, or a related field.
• Strong analytical and problem-solving skills.
• Proficiency in Microsoft Excel.
• Working knowledge of SQL and relational databases.
• Understanding of data analysis and visualization concepts.
• Strong attention to detail and ability to work with large datasets.
• Excellent written and verbal communication skills.
• Ability to translate analytical findings into clear business insights.
• Ability to work independently and collaboratively in a team environment.

Preferred Qualifications

• Experience with Power BI, Tableau, Looker, or similar BI tools.
• Knowledge of Python, R, or another programming language for data analysis.
• Familiarity with SQL Server, Oracle, Snowflake, BigQuery, PostgreSQL, or similar databases.
• Understanding of data cleaning, transformation, and validation techniques.
• Exposure to ETL/ELT processes and data warehousing concepts.
• Familiarity with statistical analysis and forecasting techniques.
• Experience working with cloud platforms such as AWS, Azure, or GCP is a plus.
• Familiarity with Jira, Confluence, Git, or similar tools.
• Experience with Agile/Scrum methodologies is a plus.

New Graduate Consideration

Qualified new graduates are encouraged to apply , particularly candidates with relevant degrees and hands-on experience through internships, academic projects, capstone projects, certifications, or technical training.

Candidates do not necessarily need prior professional experience specifically titled "Data Analyst." Experience in Business Intelligence, Reporting, Business Analysis, Data Science, Research, Operations Analytics, or Financial Analytics may also be relevant.

Candidates with practical experience using Excel, SQL, Power BI, Tableau, Python, or similar analytical tools through academic or personal projects will be considered.

Why Consider This Opportunity?

• Excellent opportunity for entry-level and early-career data professionals.
• Direct opportunity to work with one of our clients.
• Gain hands-on experience with data analysis, SQL, reporting, and visualization.
• Opportunity to work with real-world business data and cross-functional teams.
• Develop skills in business intelligence, data visualization, and data-driven decision-making.
• Collaborative environment with experienced business and technology professionals.
• Strong career growth potential in Data Analytics, Business Intelligence, Analytics Engineering, and Data Science.
• New graduates with relevant projects, internships, or certifications are encouraged to apply.
• All visa types are welcome to apply , subject to applicable employment requirements.