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Information Technology 🏢 Full Time ⭐️ Verified

Data Analyst

Nexus Analytics
Austin
Salary Estimate
USD 85.000 – USD 115.000
Latest
Live Update
1 Juni 2026
Deadline
1 Jun 2027

Job Description

Join Nexus Analytics as a Data Analyst and transform raw data into actionable business intelligence. We're seeking a curious professional to drive data-driven decision-making across our fast-growing fintech platform. You'll collaborate with cross-functional teams to uncover insights that optimize user experiences and fuel strategic growth.

At Nexus Analytics, we combine cutting-edge technology with a culture of innovation. Our Austin headquarters offers hybrid work flexibility, competitive benefits, and opportunities for continuous learning. Help us build the future of financial analytics while advancing your career in one of America's most dynamic tech hubs.

Responsibilities

  • Analyze complex datasets using SQL, Python, and visualization tools to identify trends and business opportunities
  • Develop interactive dashboards in Tableau/Power BI to communicate findings to stakeholders
  • Design and implement A/B tests to validate product hypotheses and optimize conversion metrics
  • Collaborate with engineering teams to improve data collection systems and data quality
  • Present insights to executive leadership through compelling data narratives
  • Monitor KPIs and create automated reporting frameworks for real-time performance tracking
  • Partner with marketing teams to analyze campaign effectiveness and ROI

Qualifications

  • Bachelor's degree in Statistics, Computer Science, Economics, or related field
  • 3+ years of professional data analysis experience with SQL proficiency
  • Expertise in data visualization tools (Tableau, Power BI, or Looker)
  • Strong programming skills in Python (Pandas, NumPy) or R
  • Experience with statistical analysis and experimental design
  • Proven ability to translate complex data into actionable business recommendations
  • Familiarity with cloud platforms (AWS, GCP, or Azure) and data warehousing
  • Excellent communication skills with ability to present to non-technical audiences

Required Skills

SQL Python Tableau Power BI Statistical Analysis Data Visualization A/B Testing Data Warehousing AWS Excel R Machine Learning

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