Data Analyst Job at Winaxis, Missouri

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  • Winaxis
  • Missouri

Job Description

About Us

At Winaxis, we leverage data-driven insights to fuel innovation and smarter decision-making. We are seeking a detail-oriented Data Analyst to join our team and help transform raw data into meaningful insights that support business growth.

Key Responsibilities
  • Collect, clean, and analyze large datasets from multiple sources.

  • Interpret data, identify trends, and provide actionable insights to stakeholders.

  • Develop and maintain dashboards and reports using BI tools (Power BI, Tableau, etc.).

  • Work closely with cross-functional teams to define KPIs and track performance metrics.

  • Create automated reporting solutions to improve efficiency.

  • Support data-driven decision-making with ad hoc analyses and statistical modeling.

  • Ensure data accuracy, integrity, and security across reporting processes.

  • Document methodologies, processes, and findings for transparency and repeatability.

Required Skills & Qualifications
  • Bachelor s degree in Data Science, Statistics, Computer Science, Finance, or related field.

  • 0 10 years of experience as a Data Analyst or in a similar role.

  • Strong proficiency in SQL for querying and data manipulation.

  • Experience with data visualization tools (Tableau, Power BI, or Looker).

  • Proficiency in Excel (pivot tables, advanced formulas, macros).

  • Working knowledge of Python or R for data analysis preferred.

  • Strong analytical, problem-solving, and critical-thinking skills.

  • Ability to communicate complex insights clearly to both technical and non-technical audiences.

Nice to Have
  • Experience with data warehousing and ETL processes.

  • Familiarity with cloud data platforms (AWS Redshift, Google BigQuery, Snowflake, Azure).

  • Exposure to predictive analytics and machine learning techniques.

  • Knowledge of business/financial analytics is a plus.

What We Offer
  • Competitive salary and benefits package.

  • Opportunity to work on impactful, data-driven projects.

  • Collaborative and innovative work environment.

  • Professional growth and learning opportunities.

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