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Senior Data Analyst - Columbus, OH

Apex Innovations
Columbus
Estimated Salary
USD 75.000 – USD 95.000
Live Update
13 Juli 2026
Deadline
13 Jul 2027

Job Description

Apex Innovations is seeking a highly analytical and detail-oriented Senior Data Analyst to join our growing team in Columbus, Ohio. In this pivotal role, you will be responsible for transforming complex datasets into clear, actionable insights that drive strategic business decisions. We offer a hybrid work environment, competitive compensation, and a culture that values innovation and growth.

As a Senior Data Analyst at Apex, you will bridge the gap between technical data science and business strategy, ensuring our stakeholders have the tools they need to succeed in a competitive market.

Responsibilities

  • Data Strategy & Management: Lead the end-to-end process of gathering, cleaning, and validating large datasets to ensure high data quality and integrity.
  • Advanced Reporting: Develop and maintain complex SQL queries, Python scripts, and automated reporting systems to track key performance indicators (KPIs).
  • Visualization: Design interactive, user-friendly dashboards using Tableau and Power BI to visualize trends and present findings to executive leadership.
  • Stakeholder Collaboration: Work closely with cross-functional teams (Marketing, Sales, Operations) to understand business requirements and translate them into analytical solutions.
  • Forecasting & Modeling: Build predictive models and statistical analyses to forecast market trends and support long-term planning.
  • Process Improvement: Identify opportunities for process automation and efficiency gains within the data operations team.

Qualifications

  • Education: Bachelor’s degree in Mathematics, Statistics, Computer Science, Economics, or a related field (Master’s degree preferred).
  • Experience: Minimum of 4-6 years of professional experience in data analysis or business intelligence.
  • Technical Skills: Strong proficiency in SQL (PostgreSQL, MySQL) and Python (Pandas, NumPy) for data manipulation.
  • Visualization: Extensive experience creating dashboards in Tableau or Power BI.
  • Communication: Exceptional ability to communicate complex data concepts to non-technical audiences clearly and concisely.
  • Tools: Advanced Excel skills and familiarity with ETL tools and cloud data warehouses (e.g., Snowflake, AWS).

Required Skills

SQL Python Tableau PowerBI Data Visualization Data Analysis Data Modeling Excel Statistics Business Intelligence

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