We have an exciting opportunity for a Marketing and Sales Data Analyst with our client. Please review the complete job description below and let me know if you are interested.
Position: Marketing and Sales Data Analyst
Location: 100% Remote
Experience: 3–5 Years
Job Description:
Role Overview:
We are looking for a hands-on Marketing and Sales Data Analyst who can collect, analyze, and interpret B2B marketing and sales data to generate actionable business insights. The ideal candidate should have experience working with CRM platforms, marketing automation tools, SQL, data visualization, and enterprise data platforms.
Key Responsibilities:
- Collect, collate, and analyze marketing and sales data across various B2B systems.
- Conduct exploratory data analysis (EDA) and generate data-driven hypotheses.
- Analyze marketing datasets to identify trends, patterns, relationships, and business opportunities.
- Prepare accurate and insightful reports for executive and leadership teams.
- Communicate findings, analysis results, and project progress to stakeholders through reports and documentation.
- Collaborate with third-party data vendors to assess, access, and integrate firmographic, technographic, and demographic information.
- Design, develop, and automate dashboards to improve visibility into marketing data performance.
- Build and execute ad-hoc reports to address business questions and support data-driven decision-making.
Required Qualifications & Skills:
- 3–5 years of hands-on experience as a Data Analyst in an enterprise environment, leveraging Marketo, Salesforce, Microsoft Dynamics, or similar platforms.
- Strong understanding of CRM systems, particularly Salesforce and Microsoft Dynamics.
- Solid understanding of B2B sales and marketing practices, principles, KPIs, and data types within large, complex organizations.
- Excellent written and verbal communication skills.
- Advanced Microsoft Excel skills.
- Experience working with data platforms such as Hadoop and Databricks.
- Strong SQL skills and experience querying, manipulating, and analyzing large datasets.
- Familiarity with logical data architecture and cloud-based data solutions.
- Hands-on experience with data visualization tools such as Tableau or Power BI.
- Strong understanding of data quality control, data integration, and validation processes.
- Experience with data enrichment processes and best practices.
- Self-motivated, results-oriented, and capable of managing multiple priorities independently.
- Ability to work effectively in ambiguous environments and demonstrate strong problem-solving skills.
- Previous experience working remotely or in a distributed team environment.