Data Analyst

Position Summary

We are seeking a highly analytical and detail-oriented Data Analyst to transform data into actionable insights that drive business decisions. The ideal candidate will partner with business stakeholders, product managers, and technical teams to collect, analyze, visualize, and communicate data that improves operational performance, customer experience, and strategic decision-making.

This role requires strong analytical thinking, proficiency with modern BI tools and SQL, and the ability to present complex findings in a clear, business-focused manner.

Key Responsibilities

• Gather, analyze, and interpret data from multiple internal and external sources.
• Design, build, and maintain dashboards, scorecards, and reports using business intelligence tools.
• Write complex SQL queries to extract, cleanse, and transform data.
• Identify trends, patterns, anomalies, and opportunities within large datasets.
• Partner with business stakeholders to define KPIs and success metrics.
• Develop recurring and ad hoc reports to support operational and executive decision-making.
• Validate data quality and investigate discrepancies across systems.
• Create data visualizations that communicate insights clearly to both technical and non-technical audiences.
• Perform root cause analysis and recommend data-driven improvements.
• Document business requirements, data definitions, and reporting logic.
• Collaborate with Data Engineering to improve data pipelines and reporting infrastructure.
• Support forecasting, capacity planning, and performance analysis initiatives.
• Ensure data governance, security, and compliance standards are followed.

Required Qualifications

• Bachelor's degree in Data Analytics, Computer Science, Information Systems, Statistics, Mathematics, Business, or a related field.
• 3+ years of experience in data analysis, business intelligence, or analytics.
• Advanced SQL skills.
• Experience with data visualization platforms such as Power BI, Tableau, or Looker.
• Strong proficiency with Microsoft Excel.
• Experience analyzing large datasets from relational databases.
• Understanding of data modeling concepts and database design.
• Strong analytical, problem-solving, and critical thinking skills.
• Excellent written and verbal communication skills.
• Ability to translate business questions into analytical solutions.

Preferred Qualifications

• Experience with Python or R for data analysis and automation.
• Familiarity with cloud data platforms such as Snowflake, Azure Synapse, BigQuery, or Redshift.
• Experience with ETL processes and data transformation tools.
• Knowledge of statistical analysis and predictive modeling techniques.
• Experience supporting SaaS products or enterprise software.
• Familiarity with Agile methodologies and Jira.

Technical Skills

Required

• SQL
• Power BI, Tableau, or Looker
• Microsoft Excel
• Data visualization
• Relational databases
• Data quality analysis

Preferred

• Python
• R
• Snowflake
• Azure Data Factory
• Databricks
• Git
• Azure DevOps or Jira

Key Competencies

• Analytical mindset
• Attention to detail
• Business acumen
• Data storytelling
• Problem solving
• Collaboration
• Curiosity
• Time management
• Stakeholder communication
• Continuous improvement

Success Measures

The successful candidate will:

• Deliver accurate, timely, and actionable reporting.
• Increase stakeholder confidence in data quality.
• Develop dashboards that improve visibility into key business metrics.
• Identify opportunities that improve operational efficiency and business performance.
• Provide insights that directly influence strategic and operational decisions.
• Continuously improve reporting automation and analytical capabilities.

Typical Deliverables

• Executive dashboards
• KPI scorecards
• Trend and variance analyses
• Forecast models
• Data quality assessments
• Operational reporting
• Business performance insights
• Ad hoc analytical requests

Reporting Relationship

Reports to the Manager, Director, or Senior Manager of Analytics, Business Intelligence, Product Operations, or Data & Analytics, depending on organizational structure.

Ideal Candidate Profile

The ideal candidate is naturally curious, enjoys solving complex business problems with data, and can bridge the gap between technical information and business strategy. They possess strong SQL and visualization skills, communicate effectively with stakeholders at all levels, and are passionate about using data to drive measurable business outcomes.