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Billennium · 2 days ago

Sr. Business Systems Analyst - Marketing Content & Performance Analytics

United States

Full-time

Remote

Senior Level

5+ years exp

Billennium is seeking a highly experienced and data-driven Senior Business Systems Analyst to join their team. This role focuses on Marketing Content Analytics and Marketing Operational Performance Analytics, driving the delivery of needs through Business Intelligence projects and delivering analytics functions in the form of dashboards, reports, and portals.

CRMEnterprise SoftwareInformation Technology

Responsibilities

Act as the primary liaison between Marketing, Digital Content Management, Digital Operations teams as well as technical teams to gather, analyze, and document detailed business requirements for BI, reporting, dashboarding, and advanced analytics initiatives

Conduct in-depth interviews, workshops, and surveys with stakeholders to understand current challenges, pain points, and desired outcomes related to marketing performance, digital content effectiveness, customer journeys, and campaign optimization

Translate high-level business needs into clear, concise, and comprehensive functional and non-functional requirements, user stories, use cases, and process flows

Proactively identify and resolve requirement ambiguities, conflicts, and gaps

Collaborate closely with data engineers, BI developers, data scientists, and architects to design scalable and efficient data models, data pipelines, and analytics solutions that support marketing and digital content reporting needs

Define data definitions, data sources, transformations, and aggregation rules for key marketing KPIs

Contribute to the design and development of intuitive and impactful dashboards and reports, ensuring they meet user needs for data visualization and actionable insights

Participate in the evaluation and selection of BI and analytics tools

Leverage deep domain knowledge in Marketing (e.g., digital marketing, CRM, campaign management, customer segmentation, lead generation, attribution modeling) and Digital Content Management (e.g., content lifecycle, CMS platforms, DAM, content performance, user experience) to inform and enhance data strategies

Identify opportunities for leveraging data to optimize marketing spend, personalize customer experiences, improve content effectiveness, and drive business growth

Develop and execute test plans, test cases, and user acceptance testing (UAT) scripts to ensure data accuracy, report validity, and solution quality

Collaborate with QA teams to validate data transformations and report outputs against business requirements

Facilitate effective communication and collaboration among cross-functional teams, including marketing, IT, data engineering, and leadership

Present findings, insights, and proposed solutions to both technical and non-technical audiences in a clear and compelling manner

Manage stakeholder expectations and ensure alignment on project scope, timelines, and deliverables

Create and maintain comprehensive documentation, including requirements specifications, data dictionaries, process diagrams, and user guides

Provide training and support to end-users on new BI tools, dashboards, and analytical capabilities

Qualification

Business Intelligence (BI)Data AnalysisSQLMarketing AnalyticsDigital Content ManagementData WarehousingAgile/ScrumData GovernanceCommunication SkillsProblem-SolvingOrganizational Skills

Required

5+ years of experience as a Business Systems Analyst, Data Analyst, or similar role with a strong focus on BI, reporting, and analytics

Mandatory: Proven professional experience (3+ years) specifically within the Marketing and/or Digital Content Management domains. This should include familiarity with common marketing metrics, digital channels, and content lifecycle processes

Experience working with various BI tools (e.g., Tableau, Power BI, Looker, Qlik Sense), data warehousing concepts, and SQL for data querying and analysis

Exceptional analytical, problem-solving, and critical thinking skills

Strong understanding of data warehousing principles, ETL/ELT processes, and data modeling concepts

Proficiency in SQL for data extraction and analysis

Excellent communication (written and verbal) and interpersonal skills, with the ability to articulate complex technical concepts to non-technical stakeholders and vice-versa

Strong organizational skills with the ability to manage multiple priorities and deadlines effectively

Ability to work independently and collaboratively in a fast-paced environment

Familiarity with data governance and data quality best practices

Experience in an Agile/Scrum development environment