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Information Technology 🏢 Part Time ⭐️ Verified

Part-Time Data Analyst

Equity Options
El Paso
Estimated Salary
USD 30.000 – USD 45.000
Live Update
15 Juli 2026
Deadline
15 Jul 2027

Job Description

Equity Options is a forward-thinking organization dedicated to delivering excellence in data-driven solutions. We are currently seeking a Part-Time Data Analyst to join our dynamic team in El Paso, Texas. In this role, you will play a pivotal part in transforming raw data into actionable business intelligence, helping stakeholders make informed decisions.

We offer a flexible work environment, competitive compensation, and the opportunity to work with a team of industry experts.

Responsibilities

  • Perform comprehensive data analysis to identify trends, patterns, and insights that drive business growth.
  • Design and maintain dashboards using tools such as Tableau or Power BI to visualize key performance indicators (KPIs).
  • Collaborate with cross-functional teams to gather requirements and translate them into data models and reports.
  • Clean, validate, and preprocess large datasets to ensure accuracy and integrity.
  • Develop and execute SQL queries to extract and manipulate data from various databases.
  • Create regular performance reports and executive summaries for management.
  • Assist in the development of data governance policies and documentation.

Qualifications

  • Associate’s or Bachelor’s degree in Data Science, Statistics, Finance, or a related field.
  • Proven experience in data analysis, preferably in a part-time or freelance capacity.
  • Strong proficiency in SQL and Excel (pivot tables, VLOOKUPs).
  • Experience with data visualization tools (Tableau, Power BI, or similar) is a plus.
  • Excellent problem-solving skills and attention to detail.
  • Ability to communicate complex data findings to non-technical stakeholders clearly.
  • Must be willing to work part-time hours (approx. 20-25 hours per week).

Required Skills

SQL Python Excel Tableau Power BI Data Analysis Business Intelligence Statistical Analysis Data Mining

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