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Optomi

Data Analyst Job at Optomi in Chicago

Optomi, Chicago, IL, United States


Job Summary: We are seeking a detail-oriented Data/Business Analyst to join our dynamic team. The ideal candidate will leverage their expertise in Excel, Power BI, and SQL to analyze data, generate insights, and support data-driven decision-making across the organization. This role involves collaborating with various departments to understand their data needs, develop reports, and provide actionable recommendations.


Key Responsibilities:

  • Data Analysis: Utilize Excel to perform complex data analysis, including data cleaning, transformation, and visualization.
  • Reporting: Develop and maintain interactive dashboards and reports in Power BI to communicate key metrics and trends effectively.
  • SQL Querying: Write and optimize SQL queries to extract and manipulate data from relational databases, ensuring data accuracy and integrity.
  • Stakeholder Collaboration: Work closely with business stakeholders to gather requirements, understand challenges, and provide analytical support for strategic initiatives.
  • Insights Generation: Analyze data to identify trends, patterns, and anomalies, presenting findings to relevant teams to support decision-making.
  • Documentation: Create comprehensive documentation of data processes, methodologies, and best practices to ensure knowledge sharing across the team.
  • Continuous Improvement: Identify opportunities for process improvement and automation to enhance data management and reporting efficiency.


Qualifications:

  • Bachelor’s degree in Business, Data Science, Analytics, or a related field.
  • Proven experience as a Data Analyst or Business Analyst, preferably in a corporate environment.
  • Proficiency in Excel, including advanced functions, pivot tables, and data visualization techniques.
  • Strong experience with Power BI for data visualization and dashboard creation.
  • Solid understanding of SQL, with the ability to write and optimize complex queries.
  • Excellent analytical and problem-solving skills, with a keen attention to detail.
  • Strong communication skills, with the ability to convey technical information to non-technical stakeholders.
  • Ability to work independently and collaboratively in a fast-paced environment.


Preferred Qualifications:

  • Experience with additional data visualization tools (e.g., Tableau) or programming languages (e.g., Python, R) is a plus.
  • Knowledge of data warehousing concepts and ETL processes.
  • Familiarity with statistical analysis and predictive modeling techniques.