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Data Analyst

Job in Austin, Travis County, Texas, 78716, USA
Listing for: Motion Recruitment
Full Time position
Listed on 2026-07-08
Job specializations:
  • IT/Tech
    Data Analyst, Data Engineering, Business Intelligence, Business Systems & Technology Analysis
Salary/Wage Range or Industry Benchmark: 80000 - 110000 USD Yearly USD 80000.00 110000.00 YEAR
Job Description & How to Apply Below

Our client, a large-scale Data & Analytics enterprise
, is seeking a Data Analyst & Automation Specialist to support insight generation and analytics enablement across complex data systems. This role is focused on exploring, validating, and synthesizing data into clear, actionable outputs that support dashboard development and business decision‑making.

Duration: 1 Year W2 Contract

REMOTE EST

Responsibilities
  • Analyze large datasets to identify trends, patterns, and data issues.
  • Validate data accuracy and ensure data is ready for reporting and dashboards.
  • Summarize insights using tables, charts, and short written summaries.
  • Build and maintain scripts to automate data analysis, transformation, and delivery.
  • Work closely with a Power BI Developer to translate insights into dashboard requirements.
  • Prepare simple reports and presentations for non-technical stakeholders.
  • Assist with identifying and preparing data sources for reporting platforms.
  • Document analysis steps, automation scripts, and key findings.
Required Qualifications
  • Experience with data analysis and automation in complex data environments.
  • Strong analytical skills and attention to detail.
  • Proficiency in Python and/or SQL
    .
  • Experience with automation tools such as Power Automate, Logic Apps, or similar
    .
  • Familiarity with data visualization tools (Power BI preferred).
  • Ability to clearly explain data insights.
  • Strong communication and collaboration skills.
Seniority level
  • Mid‑Senior level
Employment type
  • Contract
Job function
  • Engineering, Information Technology, and Analyst
Industries
  • Staffing and Recruiting and Data Infrastructure and Analytics
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