Data Analyst

About the Role
We are seeking an experienced Data Analyst with at least 4 years of professional experience to transform complex business data into meaningful insights that support strategic decision-making, operational efficiency, and business performance.
This position offers an opportunity to work within a large enterprise environment, collaborating with Business Intelligence, Data Engineering, Finance, Product, Operations, Marketing, and Technology teams to develop analytical solutions that improve organizational performance.
The Data Analyst will be responsible for collecting, analyzing, validating, and interpreting structured datasets, developing interactive dashboards, monitoring key performance indicators (KPIs), and delivering actionable business recommendations.
The ideal candidate combines strong expertise in SQL, Microsoft Excel, Power BI, Tableau, Python, data visualization, statistical analysis, and business intelligence reporting with excellent problem-solving and communication skills.
We are looking for an analytical professional who can go beyond producing reports to identify trends, explain performance drivers, uncover business opportunities, and support measurable improvements.
Essential Duties and 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.
Job Qualifications and Requirements
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.
Experience using Python, including pandas and NumPy, for data analysis or automation is highly valued.
Strong understanding of data cleaning, validation, transformation, and exploratory data analysis.
Experience with data warehouses, relational databases, and enterprise reporting environments.
Familiarity with Snowflake, Databricks, BigQuery, Redshift, or comparable cloud data platforms is advantageous.
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.
Personal Capabilities and Qualifications
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.
Comfortable managing multiple analytical priorities and reporting deadlines.
Effective collaboration within distributed and remote teams.
Commitment to data accuracy, confidentiality, and continuous professional learning.
Strategic Support
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.
Working Conditions
Remote position within the United States.
Full-time position within a large enterprise business and technology environment.
Regular virtual collaboration with Data Analytics, Business Intelligence, Finance, Product, Operations, and Technology teams.
Collaboration across multiple U.S. time zones may be required.
Participation in virtual planning sessions, analytical reviews, and stakeholder meetings.
Occasional additional availability may be necessary around major reporting deadlines or business planning cycles.
Responsible handling of confidential business, customer, financial, and enterprise data is required.
Job Function
Primary Function: Data Analytics
Specialization: Business Intelligence, Reporting & Data Visualization
Workplace: Remote — United States
Employment Type: Full-Time
Experience Required: Minimum 4 Years
Relevant Skills & Keywords: Data Analyst, Data Analytics, Business Intelligence, BI Analyst, SQL, Python, Microsoft Excel, Advanced Excel, Power BI, Tableau, Data Visualization, Dashboard Development, Data Reporting, KPI Reporting, Data Cleaning, Data Validation, Data Transformation, Exploratory Data Analysis, EDA, Statistical Analysis, Business Analytics, Data Warehousing, Snowflake, Databricks, BigQuery, Redshift, SQL Server, PostgreSQL, pandas, NumPy, Trend Analysis, Forecasting, Data Quality, Reporting Automation, Stakeholder Management, Business Performance Analysis.
Compensation & Benefits
Compensation will be competitive and determined based on professional experience, analytical expertise, qualifications, geographic location, and overall position responsibilities.
The total rewards package may include:
Competitive annual base salary
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
Additional benefits according to company policy
Why Join Us
Join a large enterprise environment where data analytics and business intelligence help shape important business decisions, improve operational performance, and support innovation.
You will have opportunities to work with modern analytical technologies, enterprise datasets, and experienced professionals across multiple business functions.
This position offers meaningful analytical ownership, exposure to SQL, Python, Power BI, Tableau, cloud data platforms, and advanced reporting solutions, and opportunities to contribute to strategic business initiatives.
For a Data Analyst with 4+ years of professional experience, this role provides remote flexibility, opportunities for continued technical development, and the ability to deliver analytical insights with measurable business impact.
Equal Employment Opportunity
We are committed to providing equal employment opportunities to qualified applicants without discrimination based on legally protected characteristics. Employment decisions are based on job-related skills, experience, qualifications, and applicable business requirements.

Work arrangement
Yes