ANALYTICS LEAD JOB DESCRIPTION

An Analytics Lead who cannot translate product funnel data into a clear strategic recommendation leaves product owners making expensive decisions without evidence. That gap is exactly what this role closes. The Analytics Lead owns the quantitative agenda for one or more digital product lines, setting success metrics, evaluating user behavior across acquisition and retention stages, and presenting findings to stakeholders from engineering squads up to executive leadership. Few roles demand equal fluency in SQL-level data work and board-ready storytelling.

As the Analytics Lead, you define the measurement framework that determines whether digital products grow or stall, turning behavioral data and funnel analysis into decisions that product and commercial teams can act on. You operate across product management, engineering, data science, and design organizations, with scope that spans individual feature evaluation through business-line strategy.

Career Impact: Owning the strategic analytic agenda across multiple product lines positions you as the authority on what user behavior signals mean for commercial direction, a profile that carries weight when moving into Analytics Director or Head of Data roles.

Business Impact: The product and commercial decisions this role informs directly affect advertiser acquisition rates, SMB retention, and conversion performance, outcomes measured in revenue, not just dashboards.

Growth Opportunity: Sustained exposure to A/B testing at scale, predictive modeling, and cross-functional leadership expands both your technical depth and your ability to influence without authority, skills that open doors to senior individual contributor and people-management tracks alike.

• Own the strategic analytic agenda across multiple digital product lines to surface growth opportunities and guide commercial direction.
• Define key success metrics for new and existing product features in collaboration with product management and engineering teams.
• Perform quantitative analyses on large behavioral datasets to extract actionable insights on user acquisition, engagement, and retention.
• Design and execute hypothesis-driven tests, including A/B and multivariate experiments, to deliver product and marketing learnings.
• Build and maintain metric dashboards and automated reporting to monitor funnel performance across business lines.
• Communicate findings clearly to stakeholders at all levels, translating complex analyses into decisions product and commercial teams can act on.
• Lead and mentor a team of analysts, setting standards for analytical rigor and prioritizing work against commercial drivers.
• Partner with data engineering and data science teams to ensure data infrastructure supports advanced analytical requirements.

• Bachelor's degree in statistics, mathematics, computer science, economics, or a quantitative discipline, or equivalent work experience.
• 3 or more years of analytics experience in a digital product or technology environment, with demonstrated ownership of a strategic analytical workstream.
• Proven competency in statistical methods including regression modeling, significance testing, and experimental design.
• Strong proficiency in SQL for querying large, complex behavioral datasets independently.
• Experience designing and executing A/B or multivariate tests that produced measurable product or marketing outcomes.
• Demonstrated ability to build metric dashboards and automate reporting pipelines without constant data engineering support.
• Strong written and verbal communication skills, with a track record of presenting analytical findings to non-technical stakeholders and executives.
• Experience mentoring or managing junior analysts, including prioritizing their workloads and reviewing analytical output for rigor.

• Advanced knowledge of statistical programming languages such as Python or R, applied to predictive modeling or data pipeline automation.
• Experience working in a matrix organization and influencing product or commercial decisions without direct reporting authority.
• Familiarity with data governance practices and the responsible development of analytics applications in regulated or privacy-sensitive environments.
• Prior experience supporting SMB advertiser analytics or digital acquisition funnel analysis at meaningful scale.

• Strategic analytic agenda coverage, measured by the share of product decisions backed by a documented analytical brief.
• A/B test velocity, reflecting the number of experiments designed, executed, and concluded per quarter.
• Dashboard adoption rate among non-analyst stakeholders, indicating self-serve analytical capability built by this role.
• Analyst team output quality score, assessed through peer review error rate on published findings.
• Funnel conversion rate movement on initiatives where this role provided the primary analytical recommendation.
• Typical tools: BI and visualization (commonly Tableau or similar), event analytics (commonly Amplitude or Mixpanel), query environment (commonly SQL-based warehouse platforms).

• Base Salary Range: $120,000 to $160,000 annually, depending on seniority and location.
• Bonus: 10 to 15 percent annual performance bonus, tied to team and individual metrics.
• Equity: RSU grants typical at technology companies, vesting over four years.
• Health Benefits: Medical, dental, and vision coverage for employee and dependents.
• PTO: 15 to 20 days annually, plus company holidays and sick leave.
• Common Perks: Learning and development budget, home office stipend, and flexible work arrangements.

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

Work authorization in the United States is required for all applicants. All qualified candidates will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, age, sexual orientation, gender identity, or any other characteristic protected under applicable federal, state, or local law. Reasonable accommodations are available to individuals with disabilities throughout the application and employment process upon request. Final offers are contingent on the successful completion of a background check.

The Analytics Lead owns the end-to-end analytics delivery for Campbell's M&B business, from connecting syndicated data sources to building visualizations that generate stakeholder buy-in. Working closely with IT Data and Analytics, Business Intelligence Services, and commercial data partners such as IRI, the Analytics Lead enables evidence-based decision making across marketing and commercial processes.

Key Responsibilities

• Support Campbell's M&B stakeholders to identify areas where Business Intelligence and Analytics can bring disruptive value.
• Partner with the Campbell's M&B Leadership Team to deliver analytics priorities based on direction from Sr. Manager - Integrated Business Processes and Corporate Reporting Tools.
• Work jointly with IT Data and Analytics' Data Science, Business Intelligence Services, and Reporting Factory to deliver solutions.
• Create meaningful data visualizations to communicate findings and generate buy-in and business impact.
• Identify pockets of analytical work that could be accelerated, augmented, or replaced by automation to maximize productivity.
• Deliver ongoing end user enablement and sustainability programs, including training and maintaining knowledge repositories.
• Connect the right data sources and metrics to facilitate a deep understanding of results across cross-functional stakeholders.
• Consolidate reporting and deliver advanced analytics in close partnership with data partners such as IRI and internal partners.

Required Qualifications

• B.S. or B.A. in computer science, engineering, marketing, economics, statistics, or a related field.
• Master's degree in Analytics or a related field preferred.
• 3+ years of specific Commercial Analytics experience required.
• 2+ years of experience training functional business stakeholders on business intelligence technologies.
• 2+ years of experience in syndicated data and vendor tools such as IRI or Nielsen.
• Solid knowledge of data warehousing design theory and UX design skills preferred.
• Ability to test hypotheses and select statistical methods to deliver actionable insights.
• Experience with Power BI, MicroStrategy, Tableau, or similar visualization tools.
• Ability to communicate effectively with functional business customers at all organizational levels.

Embedded within a cross-functional product organization, the Analytics Lead develops the strategic analytic agenda across multiple lines of business, performing analyses on large datasets to extract actionable insights on user behavior. Working closely with product, marketing, science, and engineering teams, the Analytics Lead shapes data-informed strategies that drive product, marketing, and design decisions at scale.

Core Functions

• Work closely with product, marketing, science, and engineering teams to identify important questions around how customers use products, define key success metrics, and shape data-informed strategies.
• Perform analyses on large sets of data to extract actionable insights on user behavior to drive product, marketing, and design decisions.
• Own and develop the strategic analytic agenda across multiple lines of business to unlock insights and guide the business.
• Develop strong hypotheses, independently solve problems, and share insights with key stakeholders across the company.
• Develop key metric dashboards and automated reporting.
• Manage and mentor junior colleagues.

Qualifications and Experience

• 3-7 years of experience in a similar analytics role with a degree in statistics, mathematics, computer science, engineering, or a quantitative discipline.
• Experience designing and executing tests that deliver key product and marketing learnings.
• Experience with event-based analytics tools such as Amplitude or Mixpanel.
• Experience with product-level dashboarding tools such as Metabase or Chartio.
• Statistical competence including regression modelling, A/B testing, and significance testing.
• Strong business sense with the ability to tackle loosely defined problems and lead insights work.
• Strong communication and storytelling skills with the ability to explain complex topics in simple terms.

Reporting to senior technology leadership, the Analytics Lead leads the analytics practice end-to-end, from hiring the right talent to deploying Big Data and Machine Learning applications to production. Partnering with product management, user experience, customer security, and engineering organizations, the Analytics Lead advances the organization's ability to frame business problems as analytical projects and deliver solutions built on modern AI and ML tools.

Primary Duties

• Help develop and lead the analytics practice by hiring the right talent, providing guidance, and managing the team.
• Collaborate with product management, user experience, customer security, and engineering teams to collect and synthesize requirements for Big Data and Machine Learning applications.
• Frame business problems into analytical projects and execution plans as a thought leader.
• Keep abreast of advancements in AI and ML technology and industry trends to leverage the right stack for any given problem.
• Develop best practices for conducting research, developing hypotheses, identifying and collecting data, and presenting findings clearly.

Skills and Qualifications

• Experience in data science or a relevant analytics field.
• Advanced knowledge of architecture and design across all systems.
• Strong knowledge of software design principles and hands-on experience with AI and ML tools, algorithms, and open source libraries.
• Proven track record of leading and delivering data science programs and projects.
• Proficiency in multiple modern programming languages such as Java and Python.
• Ability to work in large collaborative teams and build an innovative culture.
• Familiarity with visualization techniques and the ability to present findings clearly to all stakeholders.

Sitting at the intersection of data science and R and D operations, the Analytics Lead provides strategy and technical contributions to build an analytics-driven product pipeline, coordinating statistical analysis, predictive modeling, and cross-disciplinary project execution. Operating across genomics labs, field testing, data science, and planning and logistics teams, the Analytics Lead presents validated analytical stories that drive both strategic and operational change across all organizational levels.

Accountabilities

• Provide strategy and technical contributions to accelerate efforts in building an analytics-driven product pipeline.
• Coordinate or independently perform statistical analysis and computer programming, and partner with Data Scientists on predictive modeling and experimental design.
• Build cross-functional relationships to collaboratively partner with the business and network within the Data Science community.
• Use advanced data reporting, operations research techniques, and business acumen to deliver insight, recommendations, and solutions.
• Contribute to the development of software tools and databases for mining and visualizing large data sets.
• Coordinate development of sustainable, accurate, and impactful reporting on model inputs, outputs, and key performance indicators.
• Present compelling, validated stories to all levels of the organization to drive strategic and operational changes.
• Identify key areas of opportunity for new technology implementation and process improvement.
• Provide technical guidance and leadership to others on the team.

Education and Experience

• Bachelor's degree with six years of experience, a master's degree with five years of experience, or a Ph.D. in a data-intensive field with one year of supervisory experience.
• Educational preparation or applied experience in business analysis, systems engineering, operations research, statistics, bioinformatics, or a related discipline.
• Experience building data models using R, Python, or other statistical and mathematical programming packages.
• Ability to apply predictive modeling to business problems including comprehension of theory, modeling strategies, and limitations.
• Working knowledge of machine learning algorithms and concepts.
• Familiarity with modern plant breeding methods including molecular biology, greenhouses, and accelerated breeding methodology.
• Strong proficiency in business intelligence tools such as PowerBI, Tableau, or Spotfire.
• Strong communication skills with the ability to present complex quantitative analyses in a clear and actionable manner.
• Familiarity with operations, production planning, process engineering, or supply chain management.

A key member of the People Analytics team, the Analytics Lead leverages dashboards and data tools to independently drive high-level analyses that influence workforce strategy, DE and I, attrition, and talent acquisition decisions. Collaborating across Talent, HR Operations, and HRBPs, the Analytics Lead enables senior partners to access, interpret, and act on people insights that improve both HR and business performance.

Strategic Responsibilities

• Leverage people analytics dashboards and tools to independently drive high-level analyses, proactively diagnose root cause issues, and deliver preemptive recommendations.
• Lead in-depth analyses for strategic projects by collaborating with the broader team to deliver practical people insights across the organization.
• Use data-driven insights to influence business strategy and decision making.
• Support Workforce Strategy and Planning by aligning business, finance, and HR teams on future talent needs and supply.
• Own and maintain key partner relationships across enterprise functions to support strategic and operational initiatives.
• Serve as a subject matter authority to senior partners on people analytics and strategy topics and provide mentorship on analytics capabilities.

Experience and Qualifications

• Master's degree in Industrial-Organizational Psychology or an equivalent qualification preferred.
• Data Science or quantitative degree or equivalent experience.
• 4+ years of experience in strategic HR and/or organizational consulting.
• Broad knowledge in data analytics and basic statistics including mean, variance, distributions, and significance testing from an HR-centric perspective.
• Long-term experience engaging and influencing senior-level business partners on critical initiatives.
• Strong project management skills with the ability to lead multiple concurrent projects.
• Experience working with or in an Analytics or People Analytics function.
• Strong communication and presentation skills with the ability to tailor messaging to different audiences.
• Ability to work in or with Tableau.

Serving as the leading data voice within the Customer Analytics team, the Analytics Lead delivers detailed analysis of customer needs and segment performance, translating findings into actions that increase squad activity performance and drive measurable business outcomes. Based within a financial services or marketing environment, the Analytics Lead builds the brand of Customer Analytics internally and externally while setting the standard for high-quality output across the team.

Duties

• Provide detailed analysis and understanding of customers' needs and interests across different customer segments and products.
• Provide insight into the performance of squad activity and identify actions to increase performance, following through to ensure change is delivered and measured.
• Set the standard for high-quality and impactful output across the team.
• Support the development of a strong culture within Customer Analytics to attract and retain top talent.
• Build the brand of Customer Analytics internally and externally by demonstrating the value it delivers for customers.

Background and Experience

• Bachelor's degree in Business, Mathematics, Computer Science, Analytics, or an equivalent quantitative field.
• Previous experience in Analytics or Business with at least 2 years as a senior analyst or analytics manager.
• Experience working in a commercial, marketing, or trading performance role.
• Experience working in financial services and/or with marketing teams.
• Strong stakeholder management skills with a proven track record of driving change through data and analytics.
• SQL skills are essential.
• Experience with Teradata, Tableau, or similar data technologies.
• Experience working in Agile delivery squads.

The Analytics Lead leads the Business Intelligence Insights and Analytics team, building capability to track category dynamics, forecast market growth, and guide strategic planning through cross-category and multi-source competitor intelligence. Success in the position means coaching a team of four analysts, managing agency relationships with Nielsen and Kantar WorldPanel, and partnering with Strategy and Marketing Insights Leads to surface business disruptors before they impact performance.

Ownership Areas

• Lead the Business Intelligence Insights and Analytics team with responsibility for providing Marketing and Commercial leads with cross-category and multi-source understanding of business and competitor performance.
• Lead the team and agencies to provide understanding of how external context impacts the business and forecast what might happen.
• Analyze ongoing business performance drivers, diagnose and guide performance of initiatives, and support corrective decision making with data-based analytics.
• Build out approach to systematic competitor analysis and cross-functional efforts on competitor war gaming for major competitors.
• Pilot and scale capability to forecast market and category growth and leverage this to guide annual and strategic plans.
• Partner with Strategy and Marketing Insights Leads to identify areas for strategic deep dive analysis and potential business disruptors.
• Develop tools to drive a culture of self-serve business understanding.
• Manage contracts and relationships with data agencies including Nielsen and Kantar WorldPanel.
• Coach, mentor, and lead a team of four individuals including two direct reports and two dedicated analytic headcount.

Professional Experience

• Significant experience and understanding across the full breadth of market insight techniques.
• Ideally commercial experience or an awareness of the external and in-store environment such as Category Management, Sales, or Revenue Management.
• Strong understanding of how categories and brands grow with the ability to connect dots across portfolio and over time.
• Ability to see connections across different data and insight sources from category consumption, brand drivers, macro and micro trends, and future forces of consumer change.
• Strong logical and analytical thinking skills with the ability to turn analysis into a compelling story.
• Experience challenging organizations and suppliers to innovate with better tools and processes.
• Leadership and coaching ability to inspire and motivate a team and expand their impact.

Analytics Lead deploys advanced web and app analytics across multiple product lines to increase conversion, improve attribution, and enhance the customer journey for digital brands. The work directly supports safe and governed development of analytics applications, with accountability for advising teams on capability uplift, contributing to compliance frameworks, and managing a team of advanced analytics specialists.

Leadership Responsibilities

• Lead the high-quality and efficient deployment of advanced web and app analytics for new and improved products and services across multiple projects to increase conversion, improve attribution, and enhance the customer journey.
• Work with senior colleagues including product owners to define hypotheses related to business benefits and frame potential approaches.
• Report on findings clearly and succinctly to a wide range of colleagues including executives.
• Serve as a subject matter expert for web and app analytics and advise other teams to lift capability and adoption.
• Develop and advocate for cutting-edge analytics capabilities that meet the emerging needs of the business.
• Collaborate with data governance, legal, and responsible innovation teams to ensure safe development of advanced analytics applications.
• Support business case development, tendering, budgeting, and forecasting processes when required.
• Manage, coach, and mentor other advanced analytics specialists.

Minimum Qualifications

• 5-7+ years of proven success leading marketing, ecommerce, or digital analytics programs to improve conversion rates for digital brands.
• Direct and recent experience using analytics technologies such as Adobe Analytics and Google Analytics.
• Experience with statistical modelling, A/B testing, multi-variate testing, and attribution modelling.
• Experience working directly with customers and decision-makers to understand business requirements.
• Experience of working in an agile scrum environment preferred.
• Proven skills in data visualization and storytelling.
• Team management and coaching experience.
• Demonstrated thought leadership through significant contributions to the wider analytics community.

The Analytics Lead owns data mining, dashboard development, and quantitative analysis that helps SMB advertisers become more successful across acquisition, growth, and retention funnels. Working closely with Sales, Marketing, Product, and Engineering teams globally, the Analytics Lead delivers insights that shape long-term business development plans and strategic sales and service program design.

Strategic Initiatives

• Apply expertise in quantitative analysis, data mining, and data presentation to understand how advertisers interact with core products.
• Partner with Sales, Marketing, Product, and Engineering teams to solve problems and identify trends.
• Identify opportunities within the advertiser funnel to improve acquisition, growth, and retention and support the design of strategic sales and service programs.
• Deliver data support for long-term business development plans from both strategic scope and execution aspects.
• Build and maintain reports, dashboards, and metrics to monitor the performance of sales and service teams and SMB advertisers.
• Mine massive amounts of data and extract useful product insights.

Technical Qualifications

• Proven academic and/or 10+ years of relevant professional experience in math, statistics, or a quantitative field.
• 3+ years of leadership experience, ideally managing global teams.
• Experience in quantitative analysis.
• Experience with SQL or other programming languages.
• Experience with Python programming is a plus.
• Demonstrated leadership capabilities with experience building, developing, and coaching a high-performing team.
• Ability to synthesize and communicate complex analyses in easy-to-understand ways.
• Experience initiating and driving projects to completion with minimal guidance.

Reporting to Product and Commercial leadership, the Analytics Lead refines the strategic priorities of the referrals domain, leading a team of analysts to explore customer behavior and detect growth opportunities for the digital product. Partnering with Product Owners, Software Engineering, UX, Data Science, and Data Engineering, the Analytics Lead promotes evidence-based decision making that drives user experience improvement and business growth.

Role Responsibilities

• Collaborate with Product and Commercial Leads to define strategic priorities for the domain and execute against these in an engaging work plan.
• Lead a team of analysts by motivating them around a shared vision, prioritizing focus on the most value-adding work, and fostering their growth and development.
• Partner closely with Product and Commercial organizations including Product Owners, Software Engineering, UX, Data Science, and Data Engineering to promote evidence-based decision making.
• Communicate actionable insights clearly across the organization to drive business growth.
• Explore and analyze customer behavior and product performance data to detect growth opportunities and improve user experience.

Knowledge Skills and Abilities

• Extensive experience in quantitative analysis roles, ideally including work closely with product teams.
• Mastery of SQL and advanced knowledge of statistical programming languages such as Python.
• Advanced knowledge of data visualization tools such as Tableau.
• Experience with BI and related A/B testing and analytics tools such as Google Analytics, Adobe Analytics, Optimizely, and Mixpanel.
• Experience operating in a matrix organization.
• Ability to influence people who do not directly report to you.
• Outcome-oriented with the ability to take a business challenge, create actionable analytical insights, and align stakeholders on actions to create business value.

A key member of the agency analytics function, the Analytics Lead produces campaign performance insights and governance support for marketers, translating campaign strategy into tool instrumentation and monitoring key business metrics including growth, retention, conversion, and engagement. Collaborating across client stakeholder teams and internal crafts such as SEO, Media, and Marketing, the Analytics Lead ensures data is reliable, actionable, and used effectively to optimize campaign outcomes.

Day-to-Day Responsibilities

• Partner with marketers to understand campaign strategy and translate it into tool instrumentation and setup requirements.
• Support marketers in using and understanding reporting capabilities to extract insights and optimize campaign performance.
• Participate in regular meetings with client stakeholders ahead of local Marketing Governance rhythms.
• Provide governance and consultation and proactively monitor and close gaps.
• Analyze key business metrics including growth, retention, conversion, and engagement in a data-driven environment.

Position Requirements

• Individual contributor experience with the ability to work effectively across different teams.
• Demonstrated understanding of marketing communications vehicles, tools, and execution.
• Knowledge of different data and analytics platforms with expertise in data visualization.
• Understanding of Marketing Automation.
• PowerBI knowledge with the ability to create dashboards preferred.
• Self-starter with a proactive attitude and strong analytical mindset.
• Client service-oriented with strong attention to detail.

Analytics Lead oversees deep analysis, forecasting, and pipeline automation via SQL and Python-based ETL frameworks, serving as the data link between a software development team and high-profile global clients. The work directly supports strategic decision making at the organizational level while building and leading a team of data analysts toward a shared analytical vision.

What You'll Do

• Perform deep analysis and forecasting to build decision models.
• Automate analysis and pipelines via SQL and Python-based ETL frameworks.
• Influence strategic decisions, define business and operational requirements, and deliver visibility for chosen KPIs.
• Serve as the link between the software development team and high-profile global clients from a data perspective.
• Manage top talent and grow the team with your vision.

Requirements

• B.Sc. in Computer Science or a similar field.
• 3+ years of experience as a data analyst.
• 2+ years of experience managing data analysts or business analysts.
• Extensive experience in data analysis with SQL.
• Ability to take a business challenge, transform it into a plan, and lead execution.
• Ability to see the big picture and work effectively in a fast-paced environment.
• Experience working directly with product and R and D teams.

The Analytics Lead builds and runs the data collation, transformation, and analytics capability that Group Technology needs to deliver trusted management information from board level to the front line. Working closely with senior technology stakeholders and using Microsoft data platforms including Power Apps and the full Azure data stack, the Analytics Lead enables self-service insight access while implementing standards that keep the capability compliant and secure.

Scope of Work

• Design, build, and run a data collation, transformation, and analytics capability for Group Technology.
• Create management information including visualizations, KPIs, and reporting to deliver insight at all levels of the organization.
• Drive the automation of insight production.
• Enable self-service access to insight and analytics for stakeholders.
• Implement the right standards and processes to ensure this capability is trusted and compliant.

Qualifications and Experience

• Experienced data manager and analytics professional.
• Proven ability to deliver attractive, rich, and functional data visualization for management information using PowerBI or Tableau.
• Proven ability to bring together multiple datasets, automate ingestion and transformation processes, and manage data stores effectively and securely.
• Strong experience using Microsoft data platforms including Power Apps or the full Azure data stack.
• Excellent analytical, strategic conceptual thinking, and consulting skills.
• Strong influencing and negotiation skills.

Sitting at the intersection of eCommerce strategy and consumer data ownership, the Analytics Lead drives the analytics roadmap, data governance, and CDP development that power conversion improvement across .com and app channels. Operating across product design, marketing, and technology teams, the Analytics Lead identifies new data sources, integrates them into the ecosystem platform, and leads an analytics team to deliver measurable business value.

Executive Functions

• Leads and drives development of an actionable analytics roadmap providing clear investment and vendor prioritization for analytical tools across functions.
• Leads and drives data governance including data taxonomy, classifications, and tagging strategy across all platforms.
• Lead and manage an analytics team that provides insight to improve conversion on .com and app, actively reporting and improving KPIs.
• Own all consumer data and CDP from anonymous data points to well-known profiling.
• Identify new data sources that add valuable information or gain deeper granularity and drive integration into the ecosystem data platform.

Experience and Qualifications

• Experience leading Analytics teams in an eCommerce environment.
• Deep understanding of eCommerce transactional processes, pricing, and payments in a relevant industry.
• Data-driven mindset with proven experience in successfully delivering measurable business value.
• Strong experience collaborating with product design and marketing teams to evolve customer experiences.
• Excellent interpersonal and communication skills with the ability to influence senior leaders and build support from stakeholders across the business.
• Strong positive attitude with the ability to embrace uncertainty and lead change.