Summary
We are seeking a motivated Operations Analyst with 1–4 years of professional experience to analyze operational data, monitor business performance, identify process improvement opportunities, and provide actionable insights to support organizational efficiency.
The ideal candidate will have strong experience with Excel, SQL, Power BI, data analysis, KPI reporting, and process improvement, along with the ability to work with cross-functional teams and translate business requirements into effective analytical solutions.
About the Role
As an Operations Analyst, you will work closely with Operations, Finance, Supply Chain, Sales, Customer Success, and Technology teams to analyze business processes and operational performance.
You will be responsible for developing reports and dashboards, tracking KPIs, identifying inefficiencies, conducting root-cause analysis, and recommending process improvements that improve productivity, quality, and cost efficiency.
Requirements
- 1–4 years of professional experience in Operations Analysis, Business Analysis, Data Analysis, or a related field
- Strong proficiency in Microsoft Excel, including PivotTables, VLOOKUP/XLOOKUP, formulas, charts, and data analysis
- Experience with SQL for querying and analyzing operational data
- Experience with Power BI, Tableau, or similar business intelligence tools
- Strong understanding of KPIs, operational metrics, and performance reporting
- Experience analyzing business processes and identifying inefficiencies
- Knowledge of data cleaning, validation, transformation, and reporting
- Strong analytical and problem-solving skills
- Ability to perform root-cause analysis and develop data-driven recommendations
- Strong communication and stakeholder management skills
- Ability to manage multiple priorities in a fast-paced environment
Preferred Qualifications
- Experience with Power Query and DAX
- Knowledge of Python for data analysis and automation
- Experience working with ERP or CRM systems such as SAP, Oracle, or Salesforce
- Experience with process mapping and workflow analysis
- Knowledge of ETL processes and data pipelines
- Experience automating recurring operational reports
- Familiarity with forecasting and statistical analysis
- Experience with KPI dashboards and executive reporting
- Knowledge of Agile/Scrum methodologies
- Experience with cloud-based data platforms such as AWS, Azure, or Google Cloud Platform
- Bachelor''s degree in Business Analytics, Operations Management, Data Analytics, Finance, Economics, Information Technology, or a related field
Responsibilities
- Analyze operational data to identify trends, inefficiencies, and performance opportunities
- Develop and maintain operational reports, dashboards, and KPI tracking systems
- Monitor key performance indicators and prepare recurring performance reports
- Use Excel, SQL, Power BI, and other analytical tools to analyze business data
- Conduct root-cause analysis to identify operational issues and recommend corrective actions
- Evaluate business processes and identify opportunities for process improvement and automation
- Partner with operations teams to understand business requirements and reporting needs
- Develop data-driven recommendations to improve productivity, quality, and operational efficiency
- Track operational performance against established goals and targets
- Support forecasting, capacity planning, resource planning, and performance analysis
- Validate data accuracy and investigate discrepancies across operational systems
- Automate repetitive reporting and data analysis processes
- Collaborate with cross-functional teams including Finance, Supply Chain, Sales, IT, and Operations
- Prepare presentations and communicate analytical findings to managers and business stakeholders
- Maintain documentation for reports, dashboards, processes, and analytical methodologies
- Support process improvement initiatives and continuous improvement programs
Education
Bachelor''s degree in Business Analytics, Operations Management, Data Analytics, Business Administration, Economics, Finance, Statistics, Computer Science, Information Technology, or a related field is preferred.
Equivalent professional experience may be considered.
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