MARKETING ANALYST JOB DESCRIPTION

Explore real Marketing Analyst job descriptions covering responsibilities, required skills, tools, and qualifications across industries and experience levels.

Marketing Analyst Job Description Template

1. About the Role

Measurement without interpretation is noise. A Marketing Analyst turns raw channel data into the specific, numbered answers that campaign teams, product marketers, and senior leadership actually act on. This role owns the reporting layer for paid, owned, and earned channels simultaneously, tracking KPIs across paid social, display, email, and organic programs within consumer-facing organizations that measure success at the individual customer level. The scope is narrow enough to go deep: most of the work lives in CRM reporting, customer segmentation, and attribution modeling rather than across general business intelligence.

2. Position Summary

As the Marketing Analyst, you translate multi-channel campaign data into structured insights that improve acquisition, retention, and revenue outcomes for consumer and D2C marketing teams. You report to a Senior Manager of Analytics or a Marketing Analytics Team Lead, working alongside channel specialists, data engineers, and cross-functional partners in Merchandising, Product, and Finance.

3. Why Join Us

Career Impact: Owning cross-channel attribution and customer segmentation for a consumer brand builds the quantitative credibility that distinguishes a Senior Analyst or Analytics Manager candidate in the D2C and e-commerce market.

Business Impact: The measurement frameworks and postmortem analyses this role produces determine whether a marketing budget of millions is reallocated toward channels that actually convert or left in ones that do not.

Growth Opportunity: Exposure to A/B test design, multi-touch attribution modeling, and predictive segmentation gives analysts a direct path toward data science and marketing science roles that command significantly higher scope and compensation.

Company Value: Several employers in this space explicitly offer unlimited paid time off, product discounts, and employer-matched retirement plans, with remote flexibility built into the standard employment offer.

4. Key Responsibilities

  • Define and maintain campaign KPI frameworks across paid social, display, email, and organic owned channels to ensure results are measurable and comparable.
  • Analyze customer transaction, behavioral, and demographic data to build segmentation schemes that improve targeting for acquisition, retention, and personalization programs.
  • Build and enhance reporting dashboards that give channel teams and senior leadership daily and weekly visibility into performance trends.
  • Design and evaluate A/B tests from experiment setup through final read-out, with ownership over the incremental impact analysis.
  • Develop multi-touch attribution models that connect ad impressions and digital touchpoints to downstream conversion and revenue outcomes.
  • Partner with CRM, Merchandising, and Finance teams to provide ad hoc analysis that informs go-to-market strategy and budget allocation decisions.
  • Monitor data quality across reporting pipelines, identify discrepancies between platforms, and document resolutions to maintain reporting integrity.
  • Communicate findings and recommendations to both technical and non-technical stakeholders through written deliverables and live presentations.

5. Required Qualifications

  • Bachelor's degree in Marketing, Statistics, Mathematics, Economics, Computer Science, or equivalent work experience.
  • 3 or more years of marketing analytics or digital analytics experience, with demonstrated ownership of campaign reporting across at least two channels.
  • Proficiency in querying and manipulating large datasets using structured query language, with experience working in dimensional or relational databases.
  • Ability to build and maintain dashboards and interactive reports using data visualization platforms, with a focus on end-user clarity.
  • Experience with web analytics implementation, including tracking requirements, tag management concepts, and platform-side data validation.
  • Strong written and verbal communication skills, with the ability to present complex quantitative findings clearly to non-technical audiences.
  • Demonstrated ability to manage multiple concurrent deliverables, meet deadlines, and maintain accuracy under shifting priorities.
  • Familiarity with statistical concepts including A/B test design, significance testing, and basic segmentation or clustering methods.

6. Preferred Qualifications

  • Experience with customer lifetime value modeling, churn prediction, or other predictive analytics applied to a consumer or subscriber base.
  • Background in a retailer, D2C brand, or subscription business where customer-level data is the primary unit of analysis.
  • Exposure to marketing automation platforms and the data structures they produce, including list logic, suppression rules, and engagement scoring.
  • Experience mentoring junior analysts or leading a small analytics workstream within a cross-functional team.

7. Success Metrics and Environment

  • Campaign reporting accuracy rate, measured as the percentage of dashboard figures reconciled against platform source data each reporting cycle.
  • A/B test turnaround time in days, from experiment close to final stakeholder read-out delivered.
  • Dashboard adoption rate among channel teams, reflecting the percentage of teams using self-serve reporting versus submitting ad hoc requests.
  • Segmentation coverage, measured as the share of the active customer file assigned to a named segment and included in targeted programs.
  • Attribution model coverage, tracking the percentage of total marketing spend accounted for within the active multi-touch model.
  • Typical tools: Query and Warehousing (commonly SQL, Snowflake, or BigQuery); visualization (commonly Tableau or Power BI); scripting (commonly Python).

8. Compensation and Benefits (US Market Benchmark)

  • Base Salary Range: $70,000 to $100,000 annually depending on experience and market
  • Bonus: 5 to 10 percent annual performance bonus common in this sector
  • Equity: stock options or RSUs offered at some consumer tech and e-commerce employers
  • Health Benefits: medical, dental, and vision coverage with employer contribution standard
  • PTO: 15 to unlimited days annually depending on employer policy
  • Common Perks: Remote or hybrid flexibility, product discounts, 401(k) with employer match


Figures are estimates based on general US market benchmarks and may be outdated. Adjust based on location, company size, and seniority level.

9. EEO and Legal

Background checks are a standard condition of employment for this role, and any offer extended is contingent on successful completion. All qualified applicants will be considered without regard to race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity, or any other characteristic protected under applicable federal, state, or local law. Applicants requiring a reasonable accommodation to participate in the hiring process should notify the recruiting team at any stage. Candidates must be authorized to work in the United States.

Marketing Analyst Job Description Example

1. Marketing Analyst (Casino and Hospitality Analytics)

The Marketing Analyst owns the development of analytics and reporting tools that improve profitability, operational processes, and customer service across casino and hospitality operations, working alongside senior Analytics leaders and Analyst I team members. The role shapes strategic decisions by distilling large datasets into recommendations communicated to senior management in both verbal and written formats.


Key Responsibilities

  • Interact with senior leaders in Analytics to develop and refine requests for analyses.
  • Conduct objective analytics to help improve profitability, operational processes, and customer service including revenue growth, resource optimization, investment mix, competitive dynamics, customer behavior, and pricing optimization.
  • Distill large datasets into actionable insights and recommendations that guide decisions and strategies.
  • Develop presentation materials and communicate analysis findings clearly to senior management in verbal and written formats.
  • Assist Analyst I team members in structuring and executing analytics and developing presentation materials.
  • Play an active role in the development, implementation, and evaluation of strategic projects.
  • Develop and support reporting for operating departments to provide senior leaders visibility into trends and business performance drivers.
  • Use technology to develop analytics and reporting tools.
  • Propose and implement improvements to processes and reports.
  • Help train and onboard new team members in technical skills, tools, and processes.


Required Qualifications

  • Bachelor's degree from an accredited four-year college, preferred in Finance, Marketing, Engineering, Economics, Mathematics, Statistics, Hotel Management, Business, or Data Science.
  • Graduate degree in Business, Economics, Mathematics, Statistics, Hotel Management, or equivalent technical field preferred.
  • 1+ years of professional work or equivalent experience.
  • Desire to understand a broad range of operations within the casino and hospitality industry.
  • Intermediate skills in querying, analyzing, and visualizing large datasets with some experience in SQL, R, Python, Google BigQuery, and Tableau.
  • Proficiency in Microsoft Excel and PowerPoint, with Hyperion experience a plus.
  • Experience with web-based data visualization tools such as Tableau or Microstrategy preferred.
  • Strength in critical thinking, problem solving, and written and verbal communication with comfort in articulating complex analyses to a variety of audiences.
  • Ability to manage multiple projects simultaneously, meet deadlines, and deliver accurate and high-quality work while upholding the highest level of integrity.

2. Marketing Analyst (Retail and D2C Channel Analytics)

Embedded within the Marketing Analytics team, the Marketing Analyst leads the integration of marketing data across all channels including catalog, email, display, and social to drive sales and inform company-wide objectives. Working closely with Merchandising, Inventory Planning, Retail, and Accounting teams, the analyst delivers cross-channel measurement plans, KPIs, and ad hoc analysis that power more targeted marketing strategies.


Core Functions

  • Lead the Marketing Analytics team in integrating different sources of marketing data to drive sales across all channels including catalog, email, display, and social.
  • Develop and refine daily and weekly sales reports, dashboards, and projections for all channels.
  • Partner cross-departmentally to provide relevant reporting, analysis, and consumer insights to Merchandising, Inventory Planning, Retail, and Accounting teams.
  • Drive marketing and key company-wide objectives through analytics and reporting.
  • Help Marketing teams define campaign objectives and develop integrated cross-channel measurement plans and KPIs to ensure campaign results are measurable and actionable.
  • Work in customer and reporting databases in support of catalog and digital marketing including customer database pulls, merges, address updates, and response analysis updates.
  • Provide ad hoc data analysis for Marketing teams to assist in developing more targeted marketing strategies.


Qualifications and Experience

  • Bachelor's degree in Marketing, Statistics, Mathematics, or similar field.
  • 3+ years of BI reporting and analytics experience for a retailer or D2C business.
  • Extensive experience with Google Analytics, Tableau, and MS SQL Server.
  • Familiarity with data prep, ETL, and automation tools to support ongoing reporting.
  • Excellence in creating data visualizations and dashboards with focus on end-user ease and understanding.
  • Strong proficiency with MS Office Excel and Google Sheets as well as other Google Docs and Office products.
  • Strong data skills with comfort working with large datasets and extracting actionable insights and recommendations.
  • Sharp QA ability with excellent collaboration and communication skills and comfort addressing all levels within an organization.
  • Experience supervising, coaching, mentoring, or managing a team a plus.

3. Marketing Analyst (Digital Campaign Analytics)

Reporting to the analytics leadership, the Marketing Analyst builds and maintains static and dynamic dashboards while leading analytics implementation including data layer creation, tag deployment, and report building across digital marketing channels. Partnering with internal data teams and cross-functional stakeholders, this role drives measurable improvements in campaign success by translating large volumes of data into actionable insights.


Primary Duties

  • Extract, analyze, and report on key data that showcases effectiveness of campaigns and tactics.
  • Provide data-driven actionable insights to marketers and practitioners to improve campaign success and optimize reaching respective objectives.
  • Develop static and dynamic dashboards, interactive reports, charts, and graphs based on business needs and established quality standards.
  • Collaborate with internal data teams to ensure all major data-related projects are completed optimally and tracked accurately.
  • Understand technical requirements for digital projects and lead analytics implementation including data layer creation, tag deployment, testing, and report building.
  • Employ QA best practice principles to identify and resolve errors caused by pixel implementation, Adobe Analytics classification updates, or erroneous analytics tags.


Skills and Qualifications

  • Bachelor's degree in Business, Marketing, Digital Analytics, Math, or Engineering.
  • 3-5 years of experience in campaign reporting and digital analytics.
  • Experience with web analytics packages including Adobe Analytics and Google Analytics and with various marketing channels to scope and implement technical tracking requirements.
  • Knowledge of tag management solutions and differences between providers such as Adobe Analytics, Google Analytics, Adobe Launch, and Tealium.
  • Proficiency in data visualization and BI tools such as Tableau and Power BI.
  • Demonstrated technical aptitude including use of software tools, coding experience, and Excel.
  • Proven analytical, systematic, and logical problem-solving skills with a curious mindset and ability to translate large volumes of data into meaningful insights.
  • Motivated, self-starting, independent, and proactive with demonstrated ability to work effectively in cross-functional virtual teams.

4. Marketing Analyst (Performance Metrics and BI Reporting)

Sitting at the intersection of quantitative analysis and marketing strategy, the Marketing Analyst defines and tracks business performance metrics across US and international markets while conducting deep-dive analyses on large volumes of data to inform decisions. Operating across dashboards, exploratory analyses, and stakeholder reporting, this role empowers teams to act on key metrics and supports the development of strategic solutions through both quantitative and qualitative findings.


Duties

  • Define, own, and track business performance metrics across key markets in the US and internationally.
  • Monitor past and current trends and investigate outlier performance to surface observations and insights with business stakeholders.
  • Perform deep-dive and exploratory analyses on large volumes of data and present insights and recommendations to stakeholders to inform marketing decisions.
  • Own and expand existing dashboards and reporting to democratize data access and empower teams to better understand and act on key metrics.
  • Proactively identify problems and opportunities through quantitative and qualitative data analysis and help support teams in developing strategic solutions.


Experience and Qualifications

  • 3+ years of experience in Marketing Analytics, Business Analytics, Data Science, or a relevant data-driven support role.
  • Expert proficiency in SQL with experience working in dimensional and relational databases.
  • Experience with BI reporting tools such as Looker and Tableau, with Python experience a plus.
  • Knowledge of digital media metrics and strategies a plus.
  • Strong communication and presentation skills to synthesize analytics output and recommendations into cohesive and digestible stories tailored to a wide range of audiences.
  • Experience developing analytical frameworks and metrics to measure ongoing business performance and understand key performance drivers.
  • Comfortable tackling open-ended questions with the ability to be a self-starter and propose ideas and solutions to meet an end goal.

5. Marketing Analyst (Banking CRM and Competitive Intelligence)

A key member of the Marketing Operations team, the Marketing Analyst manages the MCIF system and is accountable for reporting business results, customers, marketing programs, the marketing budget, and the competitive marketplace across all bank business lines. Collaborating with front-line staff, product management, and senior leaders, this role translates customer feedback and competitive data into forward-looking insights that drive promotional decisions and customer journey strategy.


Accountabilities

  • Listen to customer voice and translate data findings into actionable insights and proactively distribute findings to empower customer-centric actions and decisions.
  • Update and manage the MCIF system.
  • Fulfill and track marketing promotional programs and special offers via reporting.
  • Design, develop, and execute tracking and analytic support activities including cross-sell, special offers, and promotional activities.
  • Handle large customer data extracts, manipulation, and modeling to provide forward-looking insights on customer experience and customer journey.
  • Serve as in-house expert on the competitive environment with specific emphasis on consumer deposit and loan products and services.
  • Manage the coordination of effective sales tools for front-line bank staff.
  • Develop and produce monthly and ad hoc executive business results reports for all business lines of the bank.
  • Continuously monitor customer feedback to identify emerging trends and perform deep-dive analysis to identify wins and opportunity areas.


Technical Qualifications

  • Four-year college degree in Business Administration, Mathematics, Statistics, Economics, Engineering, or related field preferred.
  • 3+ years of demonstrated analytics experience with strong interest in data science, marketing analytics, customer analytics, and promotion analytics.
  • Experience working with and knowledge of Customer Experience or Voice of Customer metrics such as NPS and CSAT, surveys, and customer feedback.
  • Advanced knowledge of MCIF-type database systems with depth in updates, data quality, query development, and custom reporting.
  • Advanced proficiency in Excel, Access, and PowerPoint with ability to query, join, and manipulate raw datasets for analysis.
  • Experience creating reports, visualizations, and dashboards and communicating results to both technical and non-technical audiences.
  • Strong initiative with the ability to work independently, manage multiple projects simultaneously, and deliver effective written, verbal, and presentation communication.

6. Marketing Analyst (Meal Kit Growth and BI Automation)

The Marketing Analyst builds and automates Marketing BI tools and professional-grade dashboards for HelloFresh US, supporting the Growth organization by solving challenging problems with customer and business data to deliver detailed and actionable insights. The analyst collaborates with stakeholders, data scientists, and engineers across Impala, Snowflake, and Databricks to drive data warehouse best practices and facilitate independent insight provision across the organization.


Role Responsibilities

  • Develop and enhance the current suite of dashboards and reporting to facilitate independent insight provision using SQL, Tableau, Google Analytics, and other computing and visualization tools.
  • Work with stakeholders on requirements for new dashboards and debugging, using knowledge of the data to respectfully challenge any assumptions that need refining.
  • Become a subject matter expert on data in the data warehouse, write queries, and validate and document data as needed across Impala, Snowflake, and Databricks.
  • Drive best practices in Tableau including data extraction from the data warehouse, data format, definition of measures and parameters, and creating engaging visualizations.
  • Create advanced analytical deliverables using SQL and Python and present results to stakeholders.
  • Review SQL code and dashboards, apply best practices, and help peers improve via code reviews.
  • Document data assets in the data catalog and develop dashboard and analysis documentation in Confluence.
  • Automate manual processes to ease the burden on the team and stakeholders.


Background and Experience

  • Bachelor's or Master's degree with a quantitative focus or equivalent analytical experience.
  • 3-5 years of professional experience in Data Analytics or Business Intelligence, with past experience in Marketing Analytics a plus.
  • High proficiency in SQL with past experience working with data in a dimensional data warehouse.
  • High proficiency in Tableau including data extraction, measure definition, and engaging visualization creation.
  • Experience in Python Pandas with understanding of the basics and willingness to learn more.
  • Experience working with data in Snowflake, Databricks, and Impala.
  • Strong communication skills with the ability to work hand in hand with stakeholders, data scientists, engineers, and other data professionals.
  • Strong analytical mindset to question preconceptions and drive change, with the ability to work independently while knowing when to collaborate or seek assistance.

7. Marketing Analyst (Consumer Bank Growth Strategy)

As the Marketing Analyst, this role supports consumer marketing efforts by building targeted insights that inform the design of new customer experiences, products, and go-to-market strategies within the Marketing, Analytics, and Product Strategy team of one of the largest retail banks in the country. The team relies on this work to identify business challenges, develop problem frameworks, and drive improvement in quality, volume, service, and profitability through close collaboration with IT, Sales, Operations, and Finance.


Strategic Responsibilities

  • Support consumer marketing efforts to inform marketing and communication strategies.
  • Help build targeted insights to inform the design and development of new customer experiences, products, breakthrough technology, and concepts designed to deliver on new growth or go-to-market strategies.
  • Identify business challenges and opportunities for improvement and solve for them using analysis to make strategic or tactical recommendations.
  • Develop problem frameworks, develop hypotheses, test and analyze, develop solutions, scope operational feasibility, lead implementation efforts, and develop monitoring plans.
  • Work closely with colleagues across IT, Sales, Operations, Finance, and other teams to drive improvement in quality, volume, service, and profitability.


Minimum Qualifications

  • Bachelor's degree required.
  • Master's degree in Business, Finance, Economics, Physical Sciences, Math, Statistics, or Engineering preferred.
  • 1+ years of experience in analysis with 2+ years of business analysis experience.
  • 1+ years of experience in statistical model building and in market or consumer research.
  • 1+ years of experience in consulting, with previous consulting experience a plus.
  • 1+ years of experience in SQL querying.
  • Strong business judgment, leadership, and integrity with a tenacious yet responsible approach to decision making.
  • Clear results orientation with an intense focus on achieving both short- and long-term goals in fast-paced, entrepreneurial, and dynamic environments.
  • Impeccable written and oral communication credentials with strategic influencing skills and the ability to drive agreement through intellect, interpersonal skills, and negotiation.

8. Marketing Analyst (Enterprise Marketing Measurement)

Marketing Analyst delivers reporting frameworks and dashboards within Oracle, SQL, and Tableau that integrate data from multiple marketing sources to measure content performance, audience behavior, and marketing effectiveness across Booz Allen's corporate and key business segments. Success in the position means building scalable, repeatable reporting that advances data-driven decision making across the marketing and communications group and the broader firm, in partnership with business partners, database administrators, and data stewards.


Day-to-Day Responsibilities

  • Help develop and maintain dynamic reporting dashboards within Oracle, SQL, and Tableau that integrate data from a variety of marketing data sources to provide business partners with accessible and actionable information.
  • Extract, analyze, and synthesize qualitative and quantitative data from a variety of sources across campaigns, channels, audience segments, and timeframes to measure and report on content performance, audience behavior, and marketing effectiveness.
  • Collaborate with business partners, database administrators, data stewards, and subject matter experts to ensure accurate collection, analysis, and insightful presentation of data within a repeatable and scalable reporting framework.
  • Support the evolution of data-driven decision making within the marketing and communications group and across the firm, creating consistency in measuring and reporting marketing performance across corporate and key business segments.
  • Develop presentations and platforms to concisely illustrate complex quantitative analysis and deliver strategic recommendations in the form of web-based dashboards, PowerPoint presentations, or Excel spreadsheets.


Professional Experience

  • Bachelor's degree in Business, Marketing, Statistics, Mathematics, Economics, or Computer Science.
  • 3+ years of experience working for an enterprise organization utilizing marketing data to drive strategy and decisions.
  • 1+ years of experience in Tableau Creator or Desktop or Power BI with familiarity with Tableau Server or Power BI Report Server.
  • Experience with SQL or Python for obtaining large marketing datasets and working with B2B or B2G companies in sales or marketing.
  • Ability to use relational database SQL, BI tools, Tableau or Power BI, Adobe Analytics, and Eloqua marketing automation software.
  • Experience establishing, implementing, and socializing reporting best practices with both technical and non-technical stakeholders.
  • Ability to work in an Agile environment, drive projects forward within a team setting, and work independently with confidence and creativity.

9. Marketing Analyst (Retail CRM and Lifecycle Analytics)

Embedded within the Enterprise Analytics and Data Science department, the Marketing Analyst produces customer insights and behavioral and predictive models that drive CRM and owned channel performance across Direct Mail, Email, SEO, Organic Social, and Membership programs. Working closely with the CRM Marketing team, MarTech, and IT, the analyst develops KPIs and dashboards that translate complex data and methodologies into clear business actions presented to executive leadership.


Key Deliverables

  • Build out data analytics capabilities to generate customer insights and support customer journey optimization and lifecycle marketing.
  • Continue to improve CRM dashboards and develop new performance metrics to track customer file health, quantify the value of CRM initiatives, and highlight trends in consumer behavior.
  • Partner with CRM Marketing team around optimization of direct mail, email, offers, and other personalized marketing communications through high-velocity test-and-learn cycles.
  • Develop and implement behavioral and predictive models that drive owned channel performance.
  • Build partnerships with Membership, SEO, and Organic Social teams and develop KPIs and dashboards to monitor the health of programs.
  • Use social listening tools to identify trends and build advanced models to improve engagement rates on social platforms.
  • Present findings to executive leadership by translating complex data and methodologies into clear insights, opportunities, and achievable business actions.
  • Partner with MarTech and IT teams to improve CRM and audience data quality and lead projects to adopt best practices and streamline processes.


Knowledge, Skills and Abilities

  • Bachelor's degree in Economics, Math, Computer Science, or similar field, with Master's degree strongly preferred.
  • 3+ years in marketing and customer analysis with a Bachelor's degree, or 2+ years with a Master's degree in Business Analytics, Economics, Math, or Computer Science.
  • Expert proficiency in SQL and proficiency in Python or other statistical programming languages and technical environments.
  • Proficiency in Looker or other data visualization tools with knowledge of relational databases and large datasets.
  • Experience with Snowflake, AWS, and GCP environments a plus, along with deep understanding of Machine Learning and Data Mining techniques.
  • Experience with retail industry and customer-level data strongly preferred.
  • Excellent communication, interpersonal, analytical, and presentation skills with working knowledge of Microsoft Office, PowerPoint, and database management.

10. Marketing Analyst (Ad Spend Attribution and Team Leadership)

Reporting to senior leadership, the Marketing Analyst measures return on ad spend, incrementality, and attribution across the full chain from ad impression to web visit to in-store sale, connecting CRM data with paid search, display, digital video, SEO, linear TV, and email to drive economic return. Partnering with marketing strategists, business intelligence, and third-party resources including Google and Bing, the analyst also develops and builds a team of technically capable analysts to provide visibility and continuously improve ad spend performance.


Areas of Ownership

  • Deliver visibility and insight into marketing activities and investments and measure return on ad spend, incrementality, and campaign performance for stakeholders and senior leadership.
  • Work collaboratively with marketing strategists, business intelligence, project managers, and senior leadership using SQL, Snowflake, Python, and data visualization software to provide strategic thought and inquiry to improve future ad spend.
  • Serve as a thought leader in the company for innovation spanning analytics and measurement technology and strategy.
  • Develop and build a team of talented analysts and grow within the organization.
  • Partner effectively with internal teams and third-party resources including publishers, technology providers, and strategic partners such as Google and Bing.
  • Analyze data and prepare timely reports on findings, identifying problems and solutions with a continuous improvement mindset.


Education and Experience

  • Bachelor's degree in Finance, Economics, CIS, Engineering, Mathematics, or equivalent.
  • 5+ years of experience in a highly analytical role with 1+ years of experience managing or mentoring analysts.
  • Proficiency in Snowflake, SQL, Python, and data visualization tools.
  • Well versed in economic concepts such as marginal cost and diminishing returns with a data-driven passion for analytics and measurement strategy.
  • Excellent verbal and written communication skills with the ability to communicate with confidence and competence for a wide variety of audiences including senior management.
  • Self-motivated and creative with the ability to work autonomously and drive results through data-driven optimizations.

11. Marketing Analyst (Cross-Channel Performance Marketing)

The Marketing Analyst refines multi-channel reporting documentation and measurement strategies across paid social, search, programmatic, OLV, and OTT channels in support of Edelman's global clients, working directly with internal and external stakeholders across Creative, Channel Strategy, Planning, Paid Media, and Business Intelligence. The work advances data integration, learning agendas, and measurement frameworks that generate a holistic view of the consumer and inform the development of programs, content, and experiences.


Scope of Work

  • Support the development of measurement frameworks, learning agendas, and data integration across multiple workstreams for global clients.
  • Drive performance marketing reporting across multiple paid channels including social, search, programmatic, OLV, and OTT.
  • Contextualize and apply data to generate a holistic view of the consumer and inform the development of programs, content, and experiences.
  • Apply knowledge of the client and digital analytics craft to evaluate new data opportunities including new sources, methodologies, and technology partnerships.
  • Foster creative thinking around how data can solve business challenges in support of marketing and communication activities such as media, CRM, and eCommerce.
  • Collaborate with cross-discipline leads in Creative, Channel Strategy, Planning, Paid Media, and Business Intelligence to guide decision-making with technical and non-technical groups.


Position Requirements

  • Bachelor's or graduate degree from an accredited post-secondary institution.
  • 1+ year of relevant professional experience working with paid marketing data and developing insights.
  • Experience in cross-channel performance analytics with strong technical knowledge of web analytics, ad-serving, and data management platforms such as Google DFA, Google Analytics, Marketo, Neustar, Dynata, and LiveRamp.
  • Proficiency in data visualization tools such as Tableau, Datorama, Domo, and Power BI, with knowledge of Excel formulae, database design, SQL, and Python a plus.
  • Experience with paid marketing data spanning multiple channels, tactics, and industries, with familiarity with social listening systems such as Brandwatch a plus.
  • Strong team player with the ability to simultaneously manage multiple deliverables in a dynamic and fast-paced environment.

12. Marketing Analyst (Digital Analytics Practice and Mentorship)

Meaningful growth in revenue and ROI depends on the Marketing Analyst, who manages multiple data sources, measures campaign performance, and provides actionable insight to the Marketing, Communications, and Membership teams while reporting to the Senior Manager of Analytics and Insights. Based within a cross-functional environment of analysts, marketers, and developers, the analyst also guides and mentors fellow analysts and helps shape the digital analytics practice by evaluating and recommending platforms, processes, and data sources.


Work Activities

  • Create and manage a suite of standard monthly and quarterly reporting.
  • Perform analyses on disparate datasets to extract actionable insights and communicate data-driven recommendations to key stakeholders.
  • Work collaboratively with cross-functional teams of analysts, marketers, and developers and document processes used to produce queries, reports, and routine analyses.
  • Monitor both top-line and bottom-line impact of programs to achieve growth, revenue, and ROI goals and combine data from multiple systems to build full profiles of constituent activity.
  • Assist in organizing and analyzing marketing experiments and lead the evolution of existing reporting and analysis to increase utility and impact.
  • Guide and mentor fellow analysts to build a best-in-class analytics team.


Required Qualifications

  • Bachelor's degree required in an analytical field with familiarity and high comfort level with statistics.
  • 3-5 years of experience in data analysis.
  • Proficiency in SQL queries and demonstrated experience with Tableau or other data visualization tools.
  • Experience with R and other statistical tools, with familiarity with GitHub a plus.
  • Solid verbal and written communication skills with the ability to work independently and as part of a team.
  • Creative and logical thinker with natural curiosity for understanding root causes and the ability to tackle loosely defined problems and abstract specific insights from large datasets.
  • Demonstrates self-awareness, cultural competency, and inclusivity with the ability to work with colleagues across diverse cultures and backgrounds.

13. Marketing Analyst (Lifecycle and Attribution Modeling)

The Marketing Analyst oversees day-to-day lifecycle and customer relations analytics for email, SMS, and Push channels at Ancestry, contributing to cross-channel A/B tests and multi-touch attribution modeling that ensure the marketing budget is spent profitably. The analyst partners closely with the internal digital marketing team, marketing vendors, FP&A, and Business Intelligence teams to maintain the right data assets and initiate data projects that drive continuous improvement in analytics processes.


Performance Expectations

  • Bring statistical rigor to the formulation and analysis of digital marketing tests.
  • Clearly communicate test results and recommendations to business stakeholders.
  • Use technical skills to access information from various structured and unstructured data sources and independently own projects with the digital marketing team, setting timelines and expectations.
  • Keep a proactive eye out for potential improvements in analytics processes, data quality, and data sources and tools.
  • Initiate and drive data projects, writing clear requirements for ETL and Development teams.


Qualifications and Experience

  • 3+ years of experience analyzing large datasets with R, SAS, Python, or other statistical packages.
  • Advanced expertise in SQL and advanced proficiency in Excel including pivot tables and advanced formulas.
  • Knowledge of Adobe Analytics and Tableau capabilities.
  • Strong research and analytical mindset with extreme attention to detail and the ability to see the big picture.
  • Strong written and verbal communication skills with the ability to translate statistical and modeling concepts into plain language and present data stories clearly and concisely.
  • Team player who is self-motivated, energetic, and able to deal with change and ambiguity in a fast-moving environment.

14. Marketing Analyst (Online and Offline Campaign Optimization)

Marketing Analyst advances the regular analysis and optimization of online and offline marketing campaigns for all assigned accounts, addressing ad hoc analysis requests and assisting with the definition of KPIs and monitoring of business performance and trends. The work directly supports campaign and business decisions across Display, Email, Search, and Social channels through measurement plans, optimization reporting, and quality documentation maintained in close partnership with data teams and external partners.


Job Functions

  • Work closely with the team to generate reporting, analysis of trends, and support for optimization reporting efforts.
  • Assist with the creation of measurement plans and KPIs based on strategic imperatives, communications objectives, and media strategies.
  • Help determine, track, and revise KPIs and engagement goals for digital campaigns across Display, Email, Search, and Social channels.
  • Interface regularly with partners and data teams to proactively identify and resolve reporting discrepancies and data inaccuracies.
  • Provide recommendations on appropriate analytics implementation of online marketing campaigns and support for ad hoc data and research requests.
  • Create and maintain quality documentation for all deliverables.


Minimum Qualifications

  • Bachelor's degree in Marketing, Statistics, Mathematics, Economics, Psychology, or other relevant field.
  • 1-3 years of experience in online marketing, direct marketing, web analytics, or statistics, with a focus on online direct marketing or media performance analysis a plus.
  • Extensive experience with Microsoft Office Excel and PowerPoint and one or more of the following: Adobe Analytics, Google Analytics, Tableau, Datorama, or Campaign Manager 360.
  • Proven ability to manage deadlines and multiple simultaneous competing projects within a cross-functional team environment.
  • Strong attention to detail with experience presenting data analysis a plus.

15. Marketing Analyst (B2C Segmentation and ROI Strategy)

The Marketing Analyst develops strategic data-driven recommendations to improve brand awareness, customer experience, and marketing ROI by analyzing customer transactions, digital, demographic, and third-party data across B2C customer strategies, operating in a hybrid hands-on analytics and strategic role in the NYC area. The work directly supports segmentation schemes, A/B testing, attribution, and P and L optimization that evolve marketing, customer, and business strategies for senior stakeholders.


Operational Focus

  • Build measurement plans including design of marketing experiments and A/B testing, analyze marketing campaign performance, and provide strategic recommendations on how performance can be optimized across ROI, retention, loyalty, and conversions.
  • Build customer segmentation schemes that enable strategic teams to better understand customer behavior and improve the overall customer experience through targeted acquisition, retention, churn, and personalization initiatives.
  • Perform marketing analytics including prototype dashboards that visualize critical KPIs, campaign analytics, segmentation, pre and post analysis, cross-sell analytics, product analysis, attribution, and ROI analysis.
  • Perform analytics on B2C customer strategies and provide critical insights on how performance can be further improved by optimizing relevant P and L drivers.
  • Provide critical strategic data storytelling on analytics performed.


Background and Experience

  • 4+ years of extensive experience working with marketing data and transforming it for strategic business gains.
  • Strong SQL skills to analyze data and deliver insightful recommendations.
  • Ability to visualize leading KPIs using tools such as Tableau and Power BI.
  • Strong communication and project management skills.
  • Marketing analytics experience required.

Editorial Process and Content Quality

This content is developed by the Lamwork Editorial Team using structured analysis of real-world job data, skill requirements, and hiring patterns.

Research framework by Lam Nguyen, Founder & Editorial Lead.

Reviewed by Thanh Huyen, Managing Editor.

Learn more about our editorial standards.