Data Analyst / Tech Analyst
Winaxis LLC
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Houston, TX
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Associate
Posted March 26, 2026
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Responsibilities
Commitments
Responsibilities
- Collect, validate, and clean datasets using Excel, SQL, or Python.
- Develop interactive dashboards and reports using Power BI or Tableau.
- Perform Exploratory Data Analysis (EDA) to identify patterns and correlations.
- Support data-driven business decisions through insights and recommendations.
- Maintain reports, KPIs, and performance tracking sheets.
- Collaborate with business teams to understand reporting needs.
- Present data findings with charts, visualizations, and summaries.
- Maintain documentation of datasets, sources, and workflows.
Commitments
Location: Remote (United States)
Employment Type: Full-Time / Contract
Opportunity to work on real-world analytics and dashboards.
Not Met Priorities
What still needs stronger evidence
Requirements
- Experience Required: 0–1 Year
- Proficiency in Microsoft Excel (Pivot Tables, VLOOKUP, Basic Analytics).
- Ability to write SQL queries for data extraction and analysis.
- Hands-on experience with Python (Pandas, NumPy) for basic analytics.
- Strong analytical reasoning and ability to interpret data.
- Excellent communication skills for presenting insights.
- Attention to detail and ability to work with large datasets.
Preferred Skills
- Experience with Power BI or Tableau for dashboard creation.
- Knowledge of forecasting, regression, and statistical modelling.
- Familiarity with cloud systems (AWS, GCP, Azure) is a plus.
- Knowledge of ETL concepts/data pipelines.
- Experience with academic or internship projects in analytics.
- Growth path into Data Scientist, BI Analyst, Business Analyst, or Reporting Specialist roles.
Education
- (Not required) – Bachelor’s or Master’s degree in Data Science, Business Analytics, Information Systems, Statistics, Computer Science, or related fields.
Data Analyst (CPT/OPT Accepted)
Client: Crestwood Global Solutions
Location: Remote (United States)
Employment Type: Full-Time / Contract
Visa: CPT, OPT
Experience Required: 0–1 Year
⭐ Job Summary
We are seeking an entry-level Data Analyst (CPT/OPT eligible) to support data processing, reporting, dashboard creation, and analytical insights.
This individual will analyze business datasets, identify trends, and help improve decision-making across the organization.
⭐ Key Responsibilities
Collect, validate, and clean datasets using Excel, SQL, or Python.
Develop interactive dashboards and reports using Power BI or Tableau.
Perform Exploratory Data Analysis (EDA) to identify patterns and correlations.
Support data-driven business decisions through insights and recommendations.
Maintain reports, KPIs, and performance tracking sheets.
Collaborate with business teams to understand reporting needs.
Present data findings with charts, visualizations, and summaries.
Maintain documentation of datasets, sources, and workflows.
⭐ Required Skills & Qualifications
Bachelor’s or Master’s degree in Data Science, Business Analytics, Information Systems, Statistics, Computer Science, or related fields.
Proficiency in Microsoft Excel (Pivot Tables, VLOOKUP, Basic Analytics).
Ability to write SQL queries for data extraction and analysis.
Hands-on experience with Python (Pandas, NumPy) for basic analytics.
Strong analytical reasoning and ability to interpret data.
Excellent communication skills for presenting insights.
Attention to detail and ability to work with large datasets.
⭐ Preferred Skills (Good-to-Have)
Experience with Power BI or Tableau for dashboard creation.
Knowledge of forecasting, regression, and statistical modelling.
Familiarity with cloud systems (AWS, GCP, Azure) is a plus.
Knowledge of ETL concepts/data pipelines.
Experience with academic or internship projects in analytics.
⭐ Why Join Us
Opportunity to work on real-world analytics and dashboards.
Ideal for Master’s students on CPT or fresh graduates on OPT.
Hands-on mentoring from analytics professionals.
Growth path into Data Scientist, BI Analyst, Business Analyst, or Reporting Specialist roles.
Client: Crestwood Global Solutions
Location: Remote (United States)
Employment Type: Full-Time / Contract
Visa: CPT, OPT
Experience Required: 0–1 Year
⭐ Job Summary
We are seeking an entry-level Data Analyst (CPT/OPT eligible) to support data processing, reporting, dashboard creation, and analytical insights.
This individual will analyze business datasets, identify trends, and help improve decision-making across the organization.
⭐ Key Responsibilities
Collect, validate, and clean datasets using Excel, SQL, or Python.
Develop interactive dashboards and reports using Power BI or Tableau.
Perform Exploratory Data Analysis (EDA) to identify patterns and correlations.
Support data-driven business decisions through insights and recommendations.
Maintain reports, KPIs, and performance tracking sheets.
Collaborate with business teams to understand reporting needs.
Present data findings with charts, visualizations, and summaries.
Maintain documentation of datasets, sources, and workflows.
⭐ Required Skills & Qualifications
Bachelor’s or Master’s degree in Data Science, Business Analytics, Information Systems, Statistics, Computer Science, or related fields.
Proficiency in Microsoft Excel (Pivot Tables, VLOOKUP, Basic Analytics).
Ability to write SQL queries for data extraction and analysis.
Hands-on experience with Python (Pandas, NumPy) for basic analytics.
Strong analytical reasoning and ability to interpret data.
Excellent communication skills for presenting insights.
Attention to detail and ability to work with large datasets.
⭐ Preferred Skills (Good-to-Have)
Experience with Power BI or Tableau for dashboard creation.
Knowledge of forecasting, regression, and statistical modelling.
Familiarity with cloud systems (AWS, GCP, Azure) is a plus.
Knowledge of ETL concepts/data pipelines.
Experience with academic or internship projects in analytics.
⭐ Why Join Us
Opportunity to work on real-world analytics and dashboards.
Ideal for Master’s students on CPT or fresh graduates on OPT.
Hands-on mentoring from analytics professionals.
Growth path into Data Scientist, BI Analyst, Business Analyst, or Reporting Specialist roles.