Job Title: Data Analyst Job Type: (Remote) Job Summary 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. Key Responsibilities • 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. Qualifications • Bachelor's degree in Marketing Analytics, Data Analytics, Statistics, Business, Economics, Mathematics, Computer Science, or a related field. • 2–5 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. Preferred Qualifications • 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. Key Skills • 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 Core Competencies • 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.