Note: The job is a remote job and is open to candidates in USA. Success Recruitments seeks a Data Analyst to turn enterprise data into insights that support strategic decisions, operational efficiency, and business performance. The role involves analyzing and validating data, building dashboards and KPI reporting, and communicating recommendations to stakeholders across business functions.
Responsibilities
- Collect, clean, validate, and analyze data from multiple enterprise systems and business sources
- Write and optimize complex SQL queries to extract, transform, and analyze datasets
- Develop interactive dashboards, automated reports, and visualizations using Power BI, Tableau , or comparable business intelligence platforms
- Analyze business performance, customer behavior, operational efficiency, and emerging trends
- Establish and monitor KPIs, performance metrics, and reporting frameworks
- Perform exploratory data analysis, trend analysis, variance analysis, and statistical assessments
- Use Python, Excel, and analytical tools to streamline reporting and automate repetitive data tasks
- Collaborate with stakeholders to translate business requirements into analytical solutions
- Identify data inconsistencies, investigate root causes, and support improvements in data quality
- Develop clear reports and presentations that communicate analytical findings to business leadership
- Support forecasting, business planning, and performance improvement through data-driven insights
- Maintain documentation for data definitions, analytical methodologies, and reporting processes
- Provide analytical insights supporting enterprise business strategy and operational planning
- Help identify opportunities for revenue growth, cost optimization, and process improvement
- Support development of standardized KPI frameworks and business intelligence capabilities
- Contribute to data-driven decision-making across business functions
- Identify opportunities to improve reporting automation and analytical efficiency
- Support data governance, data quality, and consistent metric definitions
- Provide analytical perspectives for digital transformation and business improvement initiatives
Skills
- At least 4 years of professional experience
- Minimum 4 years of professional experience in Data Analytics, Business Intelligence, Reporting Analytics, or a closely related analytical role required
- Bachelor's degree in Data Analytics, Statistics, Mathematics, Computer Science, Economics, Finance, Business Analytics, or a related discipline, or equivalent practical experience
- Strong proficiency in SQL , including joins, aggregations, subqueries, common table expressions, and analytical functions
- Advanced proficiency in Microsoft Excel , including PivotTables, complex formulas, data modeling, and reporting
- Hands-on experience with Power BI, Tableau , or comparable data visualization and business intelligence tools
- Strong understanding of data cleaning, validation, transformation, and exploratory data analysis
- Experience with data warehouses, relational databases, and enterprise reporting environments
- Knowledge of statistical analysis, KPI development, dashboard design, and business performance measurement
- Experience working with cross-functional business stakeholders
- Excellent written, verbal, and data presentation skills
- Strong analytical reasoning and attention to detail
- Ability to translate complex datasets into understandable business insights
- Excellent problem-solving and critical-thinking abilities
- Strong organizational and time-management skills
- Ability to independently investigate data issues and validate findings
- Business-oriented mindset with an understanding of how analytics supports decision-making
- Strong communication skills with technical and nontechnical audiences
- Commitment to data accuracy, confidentiality, and continuous professional learning
- Experience using Python, including pandas and NumPy , for data analysis or automation is highly valued
- Familiarity with Snowflake, Databricks, BigQuery, Redshift , or comparable cloud data platforms is advantageous
Benefits
- Performance-based incentives where applicable
- Medical, dental, and vision insurance
- Retirement savings with employer contributions
- Paid time off and company holidays
- Paid parental and family leave
- Life and disability insurance
- Remote-work support and equipment assistance
- Professional development and technical training
- Business intelligence and data analytics certification opportunities
- Wellness and employee-assistance programs
- Remote flexibility
Company Overview