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Information Technology 🏢 Full Time ⭐️ Verified

Data Analyst - Immediate Hire in Kansas City, MO

Nexus Analytics Group
Kansas City, MO
Estimated Salary
USD 65.000 – USD 85.000
Live Update
4 Mei 2026
Deadline
4 Mei 2027

Job Description

Join Nexus Analytics Group as a Data Analyst and become the driving force behind data-driven decisions in Kansas City's thriving tech scene. We're seeking a highly analytical professional to transform complex datasets into actionable insights that propel our clients forward. This immediate hire opportunity offers competitive compensation, hybrid work flexibility, and a collaborative environment where your expertise will directly impact business strategy.

As a key member of our data solutions team, you'll leverage cutting-edge tools to uncover trends, optimize processes, and deliver compelling visualizations that inform executive decisions. Our culture values innovation, continuous learning, and work-life balance—making this the perfect role for ambitious data professionals ready to make an immediate impact.

Responsibilities

  • Analyze complex datasets using SQL, Python, and statistical modeling to identify business trends and opportunities
  • Design and maintain interactive dashboards using Tableau/Power BI for executive decision-making
  • Collaborate with cross-functional teams to define data requirements and deliver actionable insights
  • Develop automated reporting systems to monitor KPIs and performance metrics
  • Present findings to stakeholders through compelling visualizations and clear narratives
  • Ensure data integrity and compliance with privacy regulations (GDPR, CCPA)
  • Continuously optimize data collection processes and analytical methodologies

Qualifications

  • Bachelor's degree in Data Science, Statistics, Computer Science, or related field
  • 3+ years of professional data analysis experience with proven portfolio
  • Expert proficiency in SQL, Python (Pandas, NumPy), and data visualization tools
  • Strong experience with statistical analysis and predictive modeling techniques
  • Excellent communication skills with ability to translate complex data for non-technical audiences
  • Proficient in ETL processes and data warehousing concepts
  • Experience with cloud platforms (AWS/Azure) and big data technologies preferred
  • Ability to thrive in fast-paced environments with competing priorities

Required Skills

SQL Python Tableau Power BI Statistical Analysis Data Visualization ETL Predictive Modeling

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