DATA ANALYST

Job Description

Job Description

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.