DATA ANALYST

Job Title: Data Analyst

Job Type: (Remote)

The Data Analyst Marketing Analytics is responsible for analyzing marketing customer campaign and sales data to measure marketing performance and support data-driven decision-making. This position develops reports and dashboards evaluates campaign effectiveness analyzes customer behavior monitors marketing KPIs and provides actionable insights to improve customer acquisition engagement retention and marketing performance.

• Collect clean analyze and interpret marketing and customer data from multiple sources.

• Analyze marketing campaign performance across digital social media email search advertising and other channels.

• Develop and maintain marketing dashboards reports and performance scorecards.

• Track and analyze key marketing KPIs such as leads conversions customer acquisition cost return on ad spend engagement retention and revenue contribution.

• Analyze customer acquisition funnels and identify opportunities to improve conversion rates.

• Perform customer segmentation based on demographics behavior purchasing patterns engagement or other relevant characteristics.

• Analyze customer journeys and identify trends across acquisition conversion engagement and retention stages.

• Measure campaign effectiveness and compare performance across channels audiences campaigns and time periods.

• Conduct cohort analysis to evaluate customer retention engagement and lifetime value.

• Perform marketing attribution analysis to understand the contribution of different channels and touchpoints.

• Conduct A/B testing and analyze results to evaluate marketing campaigns messaging offers landing pages and customer experiences.

• Develop SQL queries to extract and analyze marketing customer sales and campaign data.

• Integrate data from CRM marketing automation advertising web analytics sales and other business systems.

• Validate marketing data and investigate discrepancies missing data and tracking issues.

• Develop automated reporting processes to improve the efficiency and accuracy of marketing analytics.

• Analyze website mobile application email social media and digital advertising performance where applicable.

• Monitor marketing spend and analyze campaign costs revenue and return on investment.

• Support marketing forecasting budget planning and performance projections.

• Conduct competitive market and customer trend analysis using available data.

• Identify patterns and insights that can support marketing strategy and campaign planning.

• Translate analytical findings into clear recommendations for marketing teams and business leaders.

• Present marketing performance insights through dashboards reports presentations and data visualizations.

• Collaborate with Marketing Sales Finance Product Customer Success and Data/IT teams.

• Maintain data definitions reporting methodologies KPI calculations and analytical documentation.

• Support data governance privacy security and responsible use of customer information.

• Identify opportunities to improve marketing measurement data quality reporting and analytical processes.

• Bachelors degree in Marketing Analytics Data Analytics Statistics Business Economics Mathematics Computer Science or a related field.

• 25 years of experience in marketing analytics data analysis business intelligence or a related analytical role.

• Strong SQL skills and experience working with marketing and customer datasets.

• Experience with marketing analytics and reporting tools.

• Proficiency with Microsoft Excel and data visualization platforms such as Power BI Tableau or Looker.

• Strong understanding of marketing metrics customer funnels conversion analysis and campaign measurement.

• Experience with data cleaning validation transformation and analysis.

• Strong analytical and problem-solving skills.

• Excellent communication and presentation skills.

• Ability to translate business and marketing questions into analytical solutions.

• Experience with Google Analytics 4 Adobe Analytics or similar web analytics platforms.

• Experience with CRM and marketing automation platforms such as Salesforce HubSpot Marketo or similar systems.

• Experience analyzing paid search paid social display email SEO and other digital marketing channels.

• Knowledge of marketing attribution methodologies.

• Experience with customer lifetime value (CLV/LTV) and customer acquisition cost (CAC) analysis.

• Experience with A/B testing and statistical analysis.

• Working knowledge of Python or R.

• Experience with cloud data platforms such as Snowflake BigQuery Databricks or Azure.

• Knowledge of data warehousing ETL/ELT and data integration.

• Experience with predictive analytics or customer propensity modeling.

• Experience supporting marketing budget and ROI analysis.

• Marketing Analytics

• Data Analytics

• Customer Analytics

• Campaign Analytics

• SQL

• Marketing Performance Analysis

• Customer Segmentation

• Conversion Funnel Analysis

• Marketing Attribution

• Customer Lifetime Value

• Customer Acquisition Cost

• Return on Ad Spend

• A/B Testing

• Cohort Analysis

• Digital Analytics

• Web Analytics

• CRM Analytics

• Power BI / Tableau / Looker

• Excel

• Python / R

• Data Visualization

• KPI Development

• Forecasting

• Marketing ROI Analysis

• Marketing Analytics: Ability to measure and interpret marketing performance across channels campaigns audiences and customer segments.

• Customer Insight: Ability to analyze customer behavior and identify patterns that support acquisition engagement conversion and retention strategies.

• Analytical Thinking: Ability to turn complex marketing datasets into meaningful insights and actionable information.

• Performance Measurement: Ability to establish monitor and interpret marketing KPIs and performance metrics.

• Data Visualization: Ability to communicate marketing performance through clear dashboards charts and reports.

• Business Acumen: Ability to connect marketing analytics to revenue customer growth profitability and broader business objectives.

• Statistical Analysis: Ability to apply appropriate analytical and statistical methods to evaluate campaigns experiments and customer behavior.

• Data Quality: Ability to identify and resolve data inconsistencies tracking issues and reporting discrepancies.

• Communication: Ability to present analytical findings clearly to marketing leaders business stakeholders and technical teams.

• Continuous Improvement: Ability to identify opportunities to improve marketing measurement reporting campaign performance and analytical processes.