Connect Centric
Marketing Data Analyst
Connect Centric, Washington, District of Columbia, us, 20022
Connect Centric specializes in helping our customers solve their most complex challenges. Since 2009 we have been a trusted expert and confidante to organizations in the federal, non-profit, and private sectors, providing best-in-class strategy and technology-related services and solutions. We are looking for a talented and experienced Marketing Data Analyst to join our team to support our client.
Core responsibilities include:Analyze marketing performance data to identify trends, patterns, and insights related to campaign effectiveness, customer behavior, and ROI.Develop and maintain dashboards and reports that provide actionable insights to the marketing team.Support team-wide KPIs both in reporting and analysis, and constantly improving the underlying calculations.Undertake project-specific analyses to determine business value and impact.Work closely with the marketing team to understand business objectives and identify analytics strategies to support the measurements of the goals.Provide data-driven recommendations to optimize marketing campaigns, targeting strategies, and budget allocations.Develop analytics that can provide and operationalize advanced segmentation capabilities to meet business needs from marketing groups, and integrate into core marketing platforms.Collaborate with other departments dealing with data and analytics to ensure alignment and sharing of knowledge.Required skills
Bachelor’s degree in Analytics, Statistics, Computer Science, or a related field.Proven experience of over 5 years in marketing analytics, data analysis, or a related field.Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.Familiarity with common marketing platforms and datasets.CRM software and database management.Working knowledge of programming languages for data analysis (e.g. R, Python, SQL (or equivalents)).Hands-on experience using BI or visualization tools including Looker, Tableau or Qlik.Ability to work with large and complex datasets.Ability to quickly understand data systems, data connections and architecture.Experience operating within enterprise data repositories, and advising on optimization strategies for marketing data.Experience working with marketing systems including, but not limited to, marketing automation, website tracking, advertising, social media.Solid track record on providing valuable insights to answer business questions an uncover value.Ability to work across departments and data teams to identify and assimilate multiple data sources into meaningful insights.Skilful at presenting findings and insights to stakeholders at all levels of the business in a clear and actionable manner, including using visualizations.Desired skills
Demonstrable experience with:
Statistical analysis and predictive modeling.Leveraging AI for data analysis.Implementing or working within a Customer Data Platform.Developing and working with common marketing analysis frameworks such as RFM, CLV, multi-channel attribution models, pipeline influence and so on.
This is a remote position (Eastern Standard Time hours), with potential travel for 2 to 3 days on a quarterly basis.
Core responsibilities include:Analyze marketing performance data to identify trends, patterns, and insights related to campaign effectiveness, customer behavior, and ROI.Develop and maintain dashboards and reports that provide actionable insights to the marketing team.Support team-wide KPIs both in reporting and analysis, and constantly improving the underlying calculations.Undertake project-specific analyses to determine business value and impact.Work closely with the marketing team to understand business objectives and identify analytics strategies to support the measurements of the goals.Provide data-driven recommendations to optimize marketing campaigns, targeting strategies, and budget allocations.Develop analytics that can provide and operationalize advanced segmentation capabilities to meet business needs from marketing groups, and integrate into core marketing platforms.Collaborate with other departments dealing with data and analytics to ensure alignment and sharing of knowledge.Required skills
Bachelor’s degree in Analytics, Statistics, Computer Science, or a related field.Proven experience of over 5 years in marketing analytics, data analysis, or a related field.Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.Familiarity with common marketing platforms and datasets.CRM software and database management.Working knowledge of programming languages for data analysis (e.g. R, Python, SQL (or equivalents)).Hands-on experience using BI or visualization tools including Looker, Tableau or Qlik.Ability to work with large and complex datasets.Ability to quickly understand data systems, data connections and architecture.Experience operating within enterprise data repositories, and advising on optimization strategies for marketing data.Experience working with marketing systems including, but not limited to, marketing automation, website tracking, advertising, social media.Solid track record on providing valuable insights to answer business questions an uncover value.Ability to work across departments and data teams to identify and assimilate multiple data sources into meaningful insights.Skilful at presenting findings and insights to stakeholders at all levels of the business in a clear and actionable manner, including using visualizations.Desired skills
Demonstrable experience with:
Statistical analysis and predictive modeling.Leveraging AI for data analysis.Implementing or working within a Customer Data Platform.Developing and working with common marketing analysis frameworks such as RFM, CLV, multi-channel attribution models, pipeline influence and so on.
This is a remote position (Eastern Standard Time hours), with potential travel for 2 to 3 days on a quarterly basis.