ANALYTICS ASSOCIATE JOB DESCRIPTION

Turn the volume up on any marketing channel and the data gets loud fast. When nobody owns the measurement layer, campaign spend misaligns with performance, attribution breaks, and revenue decisions rest on gut instinct rather than evidence. The Analytics Associate is the role that keeps that from happening, owning the reporting infrastructure, campaign measurement frameworks, and client-facing insight delivery that marketing and product teams depend on. In B2B demand generation and media advertising contexts alike, this role works across multi-channel environments where paid media, CRM data, and audience segmentation converge into a single analytical picture.

As the Analytics Associate, you translate raw marketing and media data into structured insights that guide spend decisions, campaign optimization, and strategic recommendations for internal stakeholders or external clients. You sit within a marketing analytics, client services, or demand generation team, operating across campaign measurement, dashboard delivery, and insight communication to senior audiences.

Career Impact: Owning multi-channel attribution and campaign measurement frameworks at this level builds the quantitative marketing credential that separates senior analytics professionals from generalist data practitioners.

Business Impact: The dashboards and insights this role produces directly inform how marketing budgets are allocated across paid media, email, and programmatic channels, shaping decisions that affect acquisition and retention outcomes.

Growth Opportunity: Experience spanning demand generation analytics, media measurement, and client-facing insight delivery creates a clear track toward Analytics Manager, Marketing Science Lead, or client strategy roles within agency and in-house marketing organizations.

• Design campaign measurement frameworks that define KPIs, attribution models, and benchmarks aligned to marketing objectives.
• Develop and maintain dashboards covering paid media, email, social, and web channels for delivery to internal stakeholders and clients.
• Analyze audience segmentation and campaign performance data to surface actionable recommendations for optimization.
• Produce weekly and monthly reporting packages drawing from marketing data repositories and CRM platforms.
• Partner with product, data science, and marketing operations teams to capture data requirements and validate analytical outputs.
• Lead client engagements or internal reviews to present findings, answer analytical questions, and align on next steps.
• Validate data integrity across ingestion pipelines and reporting environments to ensure accuracy before delivery.
• Support A/B test design, measurement, and results communication for campaigns and life-stage marketing programs.

• Bachelor's degree in Marketing, Statistics, Economics, Information Systems, or a related quantitative field, or equivalent work experience.
• 2 or more years of marketing analytics or media analytics experience, with demonstrated delivery of campaign measurement and reporting.
• Proficiency in querying and analyzing large marketing datasets using structured query language or equivalent data access methods.
• Experience building and maintaining dashboards and visualizations for non-technical marketing and executive audiences.
• Working knowledge of multi-channel attribution concepts spanning paid search, paid media, email, and programmatic channels.
• Ability to translate ambiguous business questions into defined analytical plans with measurable outputs.
• Strong written and verbal communication skills with comfort presenting findings to clients or senior stakeholders.
• Demonstrated experience managing multiple concurrent analytical deliverables under defined timelines.

• Experience with demand generation analytics, including lead scoring models, funnel conversion rates, and life-stage segmentation.
• Background in media or advertising analytics, including ad campaign performance measurement for TV networks, digital publishers, or ad agencies.
• Familiarity with data ingestion automation concepts and managing structured and unstructured data sources at scale.
• Exposure to web analytics implementation, tag management, or digital measurement validation in a client-facing or consulting capacity.

• Dashboard delivery rate: percentage of scheduled reporting packages delivered on time each reporting cycle.
• Attribution model coverage: proportion of active campaigns tracked under a defined measurement framework.
• Data accuracy rate: percentage of dashboard outputs passing QA validation before stakeholder delivery.
• Client or stakeholder satisfaction score (CSAT or equivalent): measured on insight clarity and analytical responsiveness.
• A/B test turnaround time: average days from test completion to results communication for campaign experiments.
• Typical tools: BI and visualization (commonly Tableau or Power BI); query and data access (commonly SQL-based platforms); web and campaign analytics (commonly Google Analytics or Adobe Analytics).

• Base Salary Range: $65,000 to $90,000 per year, varying by market and seniority.
• Bonus: 5 to 10 percent annual performance bonus common in agency and in-house marketing roles.
• Equity: not standard at this level; offered selectively at growth-stage companies.
• Health Benefits: medical, dental, and vision coverage standard across most US employers.
• PTO: 15 to 20 days annually, plus standard US public holidays.
• Common Perks: Professional development stipends, marketing platform access, and remote or hybrid work options.

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

Reasonable accommodations are available to applicants with disabilities throughout the hiring process and in the workplace; requests should be directed to the hiring team. All qualified applicants are 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. Employment in this role is contingent upon successful completion of a background check. Candidates must be authorized to work in the United States.

The Analytics Associate shapes project execution from planning through final recommendations, identifying required data sources and establishing analytics plans to deliver actionable insights for clients across biotech and pharma. Working alongside Principals and offshore team members, the role builds client relationships and drives development of new services, enabling the organization to deliver strategic, data-driven solutions that fuel growth.

Key Responsibilities

• Manage project execution from planning and design to insight generation and final recommendations.
• Contribute to the broader success of the organization and participate in idea generation and innovation in expanding company services and product offerings.
• Guide and coach offshore team members in designing, analyzing, and executing against set project plans.
• Work with Principals to deliver and present high-impact business solutions to clients and serve as a key point of contact for certain aspects of projects.
• Understand business needs and manage client relationships.
• Contribute to internal initiatives and help drive development of new services and product offerings.
• Leverage problem-solving skills and frameworks to develop solutions to client business problems.
• Synthesize insights and deliver recommendations appropriate to the audience.
• Leverage strong oral and written communication to deliver recommendations to clients.

Required Qualifications

• Degree in Engineering or Science; Masters preferred.
• 1-3 years of experience in management consulting, data analytics, or similar roles in biotech or pharma.
• Strong analytical skills with ability to translate complex analysis into strategic insights and recommendations for sales and marketing teams.
• Deep knowledge of healthcare datasets and use of various database manipulation tools.
• Experience with onshore and offshore staffing model preferred.
• Results-driven with focus on excellence and quality.
• Excellent time management skills with ability to manage several projects with overlapping deliverables and schedules.
• Strong team player and collaborator with ability to operate in a fast-paced environment.
• Proficiency in SAS, SQL, and Alteryx.

Embedded within the India office analytics team, the Analytics Associate conducts analysis using disparate data sources to support sales and marketing decisions, working under the direction of associate consultants or consultants. Working closely with internal teams, the role processes large-scale healthcare datasets and develops advanced statistical models, enabling clients to make better-informed sales and marketing decisions.

Core Functions

• Process large-scale healthcare datasets using SAS, R, SQL, and other database management tools.
• Develop advanced statistical models that relate promotion and product sales.
• Build simulation models to assess the effects of sales and marketing programs based on different permutations and combinations.
• Assist with preparation of data for conducting exploratory and predictive analytics.
• Assist with creation of PowerPoint slides and online visualizations to communicate simple analysis.
• Advance analytics knowledgebase and continuously learn new technologies in the analytics space.

Qualifications and Experience

• 1+ years of experience in quantitative analysis.
• Strong skills in manipulation of large and complex datasets.
• Ability to quickly learn the basics of healthcare and using proprietary datasets.
• High motivation, strong work ethic, and positive attitude while working under tight timelines.
• Strong attention to detail and focus on quality.
• Dedication to continuous learning.

Reporting to the Data Analytics lead, the Analytics Associate owns the development, management, and maintenance of databases and ETL workflows that support innovative data-driven applications within the media agency. Partnering with Product, Data Science, and Analytics teams, the role builds next-generation data architecture and automates manual processes, enabling the agency to deliver unprecedented insight into media quality and business impact for clients.

Primary Duties

• Deliver customized datasets to the Product, Data Science, and Analytics teams for use in performance reporting, advanced analytical products, and data science applications.
• Manage ETL for required data sources using a wide variety of data connectors to onboard data from paid media platforms.
• Develop, maintain, and monitor data flows ranging from simple to highly complex to support delivery to Product, Data Science, and Analytics teams.
• Collaborate with key stakeholders to capture data requirements and deliver customized data extracts to Tableau Server and Power BI server.
• Maintain database cleanliness and hygiene and identify and develop QA processes to ensure data source integrity and accuracy.
• Innovate and automate manual data-centric tasks and serve an essential role building the core data architecture used in all priority projects.

Skills and Qualifications

• Bachelor's degree in Computer Science, Data Science, or Data Engineering preferred.
• 0-1 years of experience building data structures, tables, and views.
• Extensive knowledge and experience with ETL concepts, software, and tools including data connectors and data APIs.
• Knowledge and experience with database development and maintenance, preferably in HIVE, AZURE, and MS SQL Server.
• Extensive knowledge of data management and dataflow management principles and best practices.
• Experience with R or Python desired but not required.
• Strong task prioritization and time management skills.
• Experience leading and participating in technical projects and supporting machine learning applications a plus.

Sitting at the intersection of technology and business operations, the Analytics Associate delivers reporting solutions to stakeholders in Firmwide Sourcing, transforming business requirements into meaningful analyses that track PxQ baseline metrics and pipeline deliverables. Operating across procurement, expense management, and invoicing processes, the role serves as the primary liaison with stakeholders and ensures all reporting is completed on time, enabling the firm to make data-driven operational decisions.

Duties

• Turn business requirements into solutions that drive meaningful reporting and analysis for stakeholders across Firmwide Sourcing and the firm.
• Serve as the primary point of contact for resources generating PxQ baseline reports and assist with quality assurance and general questions.
• Monitor a healthy pipeline of deliverables to ensure they are correctly prioritized and completed on time.
• Ensure the team meets monthly KPIs and report them to the global head of reporting and analytics with a regular cadence.
• Serve as the liaison with the team's primary stakeholders by hosting and leading meetings, setting agendas, and tracking takeaways.
• Become a subject matter expert on the PxQ process, data model, and structure to perform meaningful analyses for stakeholders.
• Troubleshoot and perform root cause analysis and investigate discrepancies and gaps arising from errors, failing data connections, or source system data quality issues.
• Work independently with stakeholders for ad hoc requests or modifications to existing reporting solutions and dashboards.

Requirements

• Bachelor's degree in Finance, Information Systems, Data Science, or Technology preferred.
• 2-4 years of experience in a professional setting with a strong focus on reporting and data analytics.
• Highly analytical with experience using objective data to drive strategic recommendations and synthesize large and complex datasets.
• Industry experience with sourcing, procurement, and expense management.
• Advanced Microsoft Office skills including Excel, PowerPoint, Word, Access, and SharePoint.
• Knowledge of BI tools such as SQL and Tableau and experience with Ariba On Demand.
• Strong written and oral communications skills with ability to prepare presentations for senior audiences.
• Ability to balance multiple tasks and create practical implementation plans in partnership with Technology teams.
• Experience with accounts payable and expense management data and working with global teams preferred.

A key member of the Business Intelligence team, the Analytics Associate leads end-to-end dashboard development from high-level executive KPI views to tactical application performance reports, transforming business requirements into viable Salesforce and Tableau reporting solutions. Collaborating across Marketing, Sales, and Operations, the role interprets trends in datasets and converts analyses into actionable recommendations, enabling leadership to make informed decisions that drive company growth.

Functions

• Transform business solutions or requirements into viable Salesforce and Tableau reporting solutions.
• Develop dashboards end-to-end from high-level executive KPI dashboards to tactical application performance reports.
• Build data dictionaries for KPIs, metrics, and measures and develop interactive visualizations utilizing various reporting components from multiple data sources.
• Convert analyses into actionable recommendations to drive decisions and improve performance based on financial and operational analysis.
• Improve, maintain, and utilize Marketing, Sales, and Operations KPIs to drive company growth.
• Communicate analysis results and recommendations in a manner that enables the business sponsor to understand and act on the information.
• Identify and interpret trends and patterns in datasets to locate influences and evaluate data audit and visual analytics techniques.

Experience and Qualifications

• Bachelor's degree preferred.
• 3+ years of experience in the Business Intelligence, Analytics, or IT space with a passion for analytics.
• 2+ years of experience in marketing automation, Tableau dashboard development, SQL querying, CRM, and web analytics tools.
• Financial Services or banking domain experience a plus.
• Expert in Microsoft Office software including Excel, PowerPoint, Word, Outlook, Visio, and SharePoint.
• Proficiency in SQL and hands-on experience with Tableau, Salesforce, Marketo, Adobe Analytics, Google Analytics, and Alteryx.
• Strong analytical skills, organizational skills, and attention to detail with an eye for data visualization best practices.
• Ability to self-manage multiple tasks and work autonomously across lines of business and with all levels of leadership.
• Tableau Desktop certification preferred.

Delivering operational reporting across data capture, architecture, integration, and governance depends on the Analytics Associate, who implements critical data models, datasets, and dashboards that connect the business to its engineering partners. Based within the Global Business Organization at LinkedIn, the role partners with Data Science and Engineering to build optimal data processing platforms, enabling the company to standardize BI infrastructure and drive strategy at scale.

Accountabilities

• Implement and support critical data models, datasets, and dashboards across the operational reporting ecosystem.
• Support technology migration efforts via audits and robust project management.
• Oversee processes to review requirements and identify opportunities for standardization and simplification to shape the Business Intelligence roadmap.
• Leverage best practices for accessing and utilizing data and share them across LinkedIn.
• Partner with Data Science and Engineering to build the optimal platform to support data processing and consumption needs.
• Communicate effectively with both technical stakeholders and senior business leaders.

Technical Qualifications

• Bachelor's degree in Math, Computer Science, Economics, Business, Science, or Engineering, or equivalent experience.
• 5+ years of experience in consulting, strategy, analytics, product management, or technical roles.
• 2+ years of experience with SQL or equivalent.
• Tech industry or SaaS experience with subject matter expertise in B2B sales processes a plus.
• Highly analytical with experience decomposing and solving real-world business problems including querying data, building models, and developing data visualizations.
• Proficiency in Anaplan, Power BI, and Tableau.
• Natural problem-solver comfortable with data and ambiguity with ability to engage about both details and the big picture.
• Effective communicator with ability to distill complex thoughts and strategies into simple, actionable recommendations.
• Experience working closely with senior executives to solve challenging business problems and compellingly present recommendations.

As the Analytics Associate, this role delivers high-quality data analysis and actionable insights across a mix of project-based analysis, dashboard reporting, and customer-facing interaction, supporting client implementation and reporting needs in a consulting capacity. The client analytics team relies on this work to analyze campaign and customer data, develop ongoing analytics deliverables, and enable optimization of media and content for assigned clients.

Activities

• Analyze campaign and customer data to provide conclusions, implications, and actionable recommendations designed to improve future relationship marketing communications.
• Manage day-to-day analytics for assigned clients including QA of data and reporting templates.
• Develop and present ongoing analytics deliverables to clients, coordinating with senior analytics team members and account management.
• Support team leads on internal projects to further develop the analytics practice including implementation of analytical tools, techniques, processes, and frameworks.
• Query and analyze complex datasets to develop actionable insights that enable optimization of media and content.
• Analyze and correlate media campaign performance with audience data, including identification of high-impact KPIs for tactics with a focus on audience engagement, campaign effectiveness, fan growth, and content deep dives.

Position Requirements

• 1-2+ years of media analytics and insights experience.
• Knowledge of a variety of measurement methodologies and their applications.
• Passionate about research, television, marketing, emerging media, and technology.
• Strong PowerPoint, Excel, Google Slides, and Google Sheets skills.
• Experience with SQL and Tableau or similar tools such as Power BI and Looker for querying and dashboarding.
• Result-oriented with the ability to work within strict time constraints while balancing multiple projects.
• Excellent verbal and written communication skills with the ability to interact at all levels of the organization.
• Collaborative team player with the ability to pivot in a constantly evolving environment.

Analytics Associates own enterprise data warehousing integrity and support the College's data reporting system by developing databases, dashboards, and data models that meet functional team requirements. Success in the position means applying upper-level analytical and technical expertise in Power BI to enable stakeholders to move beyond reporting metrics toward actionable intelligence that improves institutional performance.

Operational Focus

• Develop and implement databases, data collection systems, data analytics strategies, and other systems that optimize statistical efficiency and quality.
• Engage with business stakeholders across the organization to determine requirements and establish solutions.
• Lead small and mid-size projects and collaborate closely with developers to implement requirements.
• Lead as subject matter expert in developing dashboards, reports, and data models for Power BI with a focus on end user adoption and usability.
• Perform hands-on development work using tools and systems such as Power BI and databases.
• Work with reporting teams across the organization to develop data sources, models, and repositories to support analytics needs.
• Enable customers to move beyond reporting metrics to making information actionable.

Knowledge Skills and Abilities

• Bachelor's degree; four years of relevant experience may substitute for degree requirement.
• Four years of relevant experience preferred.
• Strong knowledge of business intelligence tools, databases, and SQL to support data analysis and predictive analytics.
• Strong knowledge of data modeling techniques leveraged in Power BI.
• Demonstrated experience with Power BI dashboards and data security.
• Strong visualization skills focusing on user experience and business process analysis.
• Advanced analytical skills with ability to collect and translate business requirements.
• S4 HANA experience is a plus.

The Analytics Associate leads analytics, dashboard development, and insight generation within Internal Audit, analyzing large and complex datasets to identify trends, outliers, and opportunities for data-driven solutions. Working alongside the Data Analytics lead and firm-wide stakeholders, the role builds ETL processes and user-friendly visualization tools that strengthen audit capabilities and support risk identification across banking and capital markets.

Key Deliverables

• Work alongside the Data Analytics lead to develop analytics, dashboards, and insights within Internal Audit.
• Analyze large and complex datasets to produce compelling insights and identify trends and outliers.
• Work with the Data Analytics lead and other stakeholders to establish project objectives and define detailed requirements including business rules and data acquisition needs.
• Collaborate with stakeholders to develop user-friendly dashboards and visualization tools.
• Develop processes and scripts to extract, transform, and load data.
• Maintain strong client focus by building relationships with firm-wide stakeholders and identify opportunities to utilize data analytics solutions and tools in Internal Audit.

Professional Experience

• Bachelor's degree or higher in Business Informatics, Information Technology, Computing, Mathematics, Statistics, or related fields.
• 3-5 years of experience in data analysis or risk management and risk identification in a professional services or banking and capital markets firm.
• Experience in internal audit in banking and capital markets a plus.
• Extensive experience developing dashboards in Tableau and QlikView and using SQL and Python to create complex queries for extracting and analyzing data.
• Familiarity with database design concepts and working understanding of data protection and data sensitivity rules and best practices.
• Excellent written and oral communication skills with experience working with global teams preferred.
• Certifications in Tableau, CISA, CISSP, or Python an advantage.

Reporting to client engagement leads at Stackline, the Analytics Associate delivers data-driven e-commerce strategy recommendations to leading consumer brands, executing PPC campaigns on Amazon Marketing Services and generating reports that analyze pricing, promotional performance, and competitive positioning. Partnering with internal Stackline teams and external client teams, the role builds SEO content and orchestrates new product launches, enabling brands to improve decision-making and transform their e-commerce business.

Areas of Ownership

• Create PPC campaigns on Amazon Marketing Services platform, examine ROI, and stay within client budget constraints.
• Execute new product launches and orchestrate critical path schedules with internal Stackline teams and external client teams.
• Draw insights from large amounts of data and provide recommendations to clients on e-commerce strategy.
• Generate reports that analyze customer pricing and promotional performance and competitive analysis.
• Create and develop content for clients to improve SEO performance on key retail platforms.

Education and Experience

• 2+ years of relevant account management experience.
• 2+ years of e-commerce retail experience.
• Demonstrated experience drawing insights from data to provide recommendations to clients on e-commerce strategy.
• Proficient with Microsoft Excel.
• At least one European language proficiency such as German, French, Spanish, or Italian.
• Excellent written and oral communication skills with demonstrated ability to stay organized while prioritizing and managing workflows.

Reporting to operating and deal teams, the Analytics Associate builds management and workforce dashboards for portfolio companies while running ad hoc analyses that support deal sourcing, due diligence, and value creation efforts. Partnering with third-party vendors and company staff, the role performs data engineering tasks to establish cloud data environments, enabling deal teams to turn portfolio data into insights that drive measurable business outcomes.

Role Responsibilities

• Run ad hoc analyses for deal sourcing, due diligence, and company value creation efforts.
• Develop written requirements and monitor the status of portfolio projects with third-party vendors and company staff.
• Perform data engineering tasks to establish cloud data environments.
• Document and train deal teams on usage of portfolio data assets.
• Develop management and workforce dashboards for each portfolio company.
• Assess and communicate the status of projects to operating and deal teams.

Background and Experience

• Bachelor's degree in Mathematics, Statistics, Economics, or a related quantitative field.
• 3+ years of experience in data science, data analytics, or a similar role with demonstrated project management experience.
• Strong SQL and data analysis skills with experience in data engineering concepts and platforms.
• Experience working with visualization tools such as Tableau or Looker.
• Demonstrated ability to turn data into insights that drive business outcomes.
• Strong interpersonal and communication skills with ability to travel 2 or more times per month.

Sitting at the intersection of digital marketing and data engineering, the Marketing Analytics Associate builds the framework to gather, ingest, analyze, and report on marketing metrics, partnering with marketing colleagues, business technology, business intelligence, sales, and client service teams to access data across platforms. Operating across web analytics, CRM, and programmatic media, the role creates robust dashboards and defines KPIs that enable the Investment Management team to optimize digital marketing initiatives and measure campaign performance.

Job Functions

• Define data requirements and KPIs that are actionable and align with overall marketing and business objectives.
• Build a framework that will measure, assess, benchmark, and help optimize marketing performance.
• Deliver reporting, analysis, and insights and make data-driven recommendations on how to best engage target audiences across digital marketing channels and platforms.
• Provide reporting to internal stakeholders for online channels including websites, social media, paid search, paid media, email, and PR.
• Use data automation tools to manage the process of ingesting and mapping disparate sources of structured and unstructured data.
• Use web analytics tools to track, measure, and report on website activity including site traffic, visitor source, and user clicks.
• Create robust and intuitive dashboards and reports and ensure the timely delivery of valuable metrics and actionable insights.
• Assist in executing programmatic media buys, supporting lead scoring efforts, and exploring segmentation and targeting approaches using baseline data.
• Develop a deeper understanding of user engagement and behavior by combining and analyzing data from web analytics, offline CRM data, and third-party sources.

Minimum Qualifications

• Bachelor's degree in Business Analytics, Information Systems, Statistics, Mathematics, Economics, or Marketing; advanced degree preferred.
• 5+ years of experience in analytics and digital marketing, preferably B2B, to generate meaningful insights on campaign measurement.
• Strong quantitative and analytical skills with experience working with large-volume marketing analytics data and driving actionable recommendations.
• Experience across the customer and marketing funnel including acquisition, conversion, and retention; familiarity with the investment management industry a plus.
• Proficiency in Microsoft SQL Server or other relational database software and statistical analysis platforms such as SAS, SPSS, or R.
• Experience with Tableau, Power BI, Data Studio, Adobe Analytics, Google Analytics, Salesforce Marketing Cloud, Eloqua, and Marketo.
• Strong project management skills with attention to detail, accuracy, accountability, and passion for problem-solving.
• Excellent interpersonal and communication skills with demonstrated ability to work effectively with colleagues across all levels of an organization.
• Advanced proficiency in Microsoft Office Suite including PowerPoint, Excel, and Word.

A key member of the Connected Commerce Analytics team within the broader Data and Analytics organization, the Quant Analytics Associate delivers descriptive, diagnostic, predictive, and prescriptive insights to Product Owners by defining metrics, sourcing data, developing queries, and creating reports. Collaborating across Product, Strategy, Technology, and Design organizations, the role drives analytics strategy and translates ambiguous business questions into analytical plans, enabling the firm to build consensus on customer engagement and expand its data science capabilities.

What You'll Do

• Develop, plan, and execute analytical projects as an individual contributor and in teams.
• Bring order to disparate requirements with high tolerance for ambiguity, strong problem-solving ability, and excellent client engagement skills.
• Pivot quickly as client guidance evolves, always keeping the ultimate project objective in mind and managing evolving requirements while continuously learning on the job.
• Establish and embrace guidelines to ensure consistency and high quality of presentation materials in appearance, tone, and style.
• Collaborate with unit managers, end users, developers, and other stakeholders to integrate data discoveries and processes into operational capabilities.
• Synthesize analytical findings for senior business executives and articulate findings in clear and concise deliverables including presentations, discussions, and visualizations.
• Partner across Product, Strategy, Technology, and Design organizations to transform strategic priorities into a prioritized analytics roadmap.
• Invent creative and innovative ways to answer key business questions by leveraging existing data assets or creating new ones.
• Drive data science and analytics strategies including recommendations on analytical products, services, protocols, and standards across the firm.

Qualifications and Experience

• Bachelor's degree in Statistics, Economics, Applied Math, Operations Research, Physics, or Data Science; advanced degree preferred.
• 8+ years of industry experience in marketing analytics roles.
• Financial services background preferred but not required.
• Demonstrated ability to define business KPIs, establish measurement frameworks, and frame ambiguous business questions into analytical plans.
• Basic knowledge in modern data mining, quantitative research, and data science techniques such as machine learning and behavioral analytics.
• Experience across a broad range of data science and analytics tools including SQL, SAS, Alteryx, Hive, Hadoop, Spark, Python, R, Adobe Analytics, and Tableau.
• Excellent communicator able to convey complex information in an understandable and persuasive manner to senior executives.
• Consulting orientation with ability to influence and effectively lead cross-functional teams.
• Strong time-management skills with the ability to multi-task and keep numerous projects on track.

Creating meaningful insights for sales and marketing teams from large amounts of disparate data across CRM, digital, social, and publishing platforms is the work of the Marketing Analytics Associate, who builds the measurement platform for campaigns and life-stage marketing programs within the Digital and Demand Generation team. Serving as the analytical engine for global partners and channel teams, the role measures marketing attribution and produces data-driven stories that enable the business to make informed decisions and optimize program performance.

Day-to-Day Responsibilities

• Partner with key technology partners to ensure the right data architecture is in place for capturing and integrating large amounts of disparate data.
• Create a consistent platform for the measurement of marketing campaigns and activities within the marketing operations department including custom analytics and standardization of program reporting.
• Produce weekly and monthly reporting with key metrics from marketing data repositories.
• Manage full project-cycle accountability including tracking, testing, creating A/B tests, measuring campaign performance, and comparing results to benchmarks.
• Collaborate with global partners to understand in-market programs, best practices, and results.
• Provide data-driven, actionable insights for campaigns and life-stage marketing programs such as lead generation, welcome and onboarding, engagement, and retention.
• Measure marketing correlation and direct attribution between each marketing tactic within various campaigns and business performance and help create data-driven stories using metrics for local and global marketing efforts.

Skills and Qualifications

• Bachelor's degree in Marketing or a quantitative discipline.
• 3+ years of experience in marketing analytics or a similar role.
• Experience in multi-channel marketing including digital, social media, email marketing, direct mail, and advertising.
• Demonstrated experience in data mining, market research, segmentation, and user testing to drive business decisions and high-performing marketing programs.
• Intermediate to expert technical skills in SQL, R, and Python.
• Experience with Alteryx, MicroStrategy, Business Objects, Pardot, Salesforce, HubSpot, Eloqua, and Google Analytics, Ads, and Tag Manager.
• Excellent communication and interpersonal skills with ability to build strong cross-functional relationships.
• Advanced proficiency in Microsoft Office including Excel, PowerPoint, and Teams.

As the Analytics Associate Technical Consultant, this role builds and develops customized Analytics solutions to meet customer business objectives, leading multiple client engagements that span website architecture discovery, technical tag implementation, and ongoing debugging. The client-facing analytics team relies on this work to validate implementations, guide key partners through the project lifecycle, and help businesses efficiently optimize their online operations using Adobe products.

Scope of Work

• Gain an in-depth knowledge of a client's website architecture, online business model, and online marketing strategy.
• Support customer discovery sessions and help guide client's business requirements and key performance indicators.
• Design customized solutions and technical tag implementation strategies.
• Generate customized web analytics collection code and assist with its implementation and deployment.
• Validate and debug implementation and follow through on issues until resolved, and perform light manipulation of JavaScript as needed to customize web analytics solutions.
• Guide key partners and drive client success based on clients' most significant business drivers and Adobe's standard methodology.
• Engage directly with customers via phone, email, and in-person through the project lifecycle including interaction with marketers, analysts, web developers, partners, and executives.
• Lead multiple client engagements at a time and establish expectations appropriately to keep projects on schedule and within scope.
• Become an authority in the use of Adobe products and the methods by which they can be used to efficiently optimize online businesses.

Requirements

• Bachelor's degree or equivalent work experience.
• 2+ years of experience working in web analytics or a related field.
• Understanding of online marketing, HTML, and web protocols.
• Website optimization consulting experience and web development experience a plus; experience with Single Page Application a plus.
• Previous experience with Adobe Analytics or similar tools, tag management systems, and data layers.
• Intermediate-to-advanced JavaScript skills and experience with Adobe Launch.
• Results-oriented, responsive, and professional with a creative and problem-solving mentality.
• Good interpersonal, presentation, and communication skills both verbal and written with ability to learn quickly and handle change efficiently.

Media Analytics Associates deliver analytic reports and brand-level insights from EDO data to television networks, movie studios, and ad agencies, supporting both client service and new business development across the commercial team. The work directly supports client satisfaction, renewal, and account growth by producing custom analyses that optimize advertising creative and media decisions, and by collaborating with engineers and data scientists to prioritize features.

Work Activities

• Produce analytic reports from EDO data highlighting the performance of ad campaigns.
• Proactively develop advertising category and brand-level insights to TV networks that can be used to help drive TV ad sales.
• Support the sales and business development process by producing marketing collateral for new business presentations.
• Develop standard reporting and custom analyses for brands and categories that highlight the power of EDO in optimizing advertising creative and media decisions.
• Understand clients' needs and determine new ways to present EDO data in compelling ways that match those needs.
• Ensure that clients are deriving maximum value from the EDO partnership to ensure high client satisfaction, renewals, and account growth.
• Work with EDO engineers and data scientists to plan and prioritize features and stay current on changing industry dynamics and the competitive landscape.

Experience and Qualifications

• 1-2 years of experience in advertising and marketing research, corporate strategy, consulting, or investment banking, preferably with experience in or exposure to the Media and Entertainment industry.
• Comfort with advanced statistical analysis and ability to translate data into actionable insights.
• Passion for movies, TV, and advertising.
• Ability to write well and create presentations and reports that present information in a succinct and usable manner.
• Highly comfortable with close client engagement and versatile with ability and willingness to wear multiple hats and switch gears frequently.
• Self-starter who is comfortable with ambiguity and has the desire to be part of a fast-growing, nimble start-up company.

The Reward Analytics Associate owns quantitative analytics and customer behavior insight generation to support Neo's Bundles and Rewards platform, collaborating with data analytics, product, operations, and marketing teams to design strategic initiatives that drive product adoption and revenue. Working across functions, the role builds optimization models and dashboards that serve as the analytical foundation for understanding how value is delivered to rewards channels and where improvements can be made.

Performance Expectations

• Help identify and provide recommended strategies to drive product adoption and revenue.
• Run quantitative analytics and generate customer behavior insights.
• Create optimization models capturing the value proposition that drives clear ROI to customers and partners.
• Develop dashboards, executive summaries, and weekly and monthly reports to measure against KPIs.
• Collaborate across product, marketing, and operations teams to drive business performance.
• Continuously iterate understanding of how value is provided to rewards channels and improve those levers through the use of data-driven insights.
• Serve as subject matter expert and resource to staff and stakeholders on rewards and bundles.

Technical Qualifications

• Post-secondary degree in Engineering, Science, Business, or a similar field preferred.
• 4+ years of experience working in a business analysis or data analytics role with a strong track record of implementing meaningful process improvements.
• Highly analytical mindset with ability to identify patterns in large datasets, distill key insights, and recommend strategic decisions that drive business performance.
• Proficient with BI platforms and data visualization tools such as Power BI, Tableau, Looker, Domo, and Qlik.
• Experience using SQL, Python, and R for data processing considered an asset.
• Great verbal and written communication skills with ability to debate or talk through complex scenarios.
• Comfortable dealing with ambiguity and iterating through a fast-paced environment with ability to prioritize a complex, dynamic set of deliverables.

Embedded within consulting teams of 3-5 members including data scientists and data engineers, the Analytics Associate gathers and analyzes information, tests hypotheses, and develops recommendations while taking a hybrid role that combines management consulting with data science programming. Working closely with client management and mentors from the local office, the role presents findings, implements recommendations collaboratively, and advances its own skills through formal training and project selection support.

Core Responsibilities

• Gather and analyze information, formulate and test hypotheses, and develop and communicate recommendations.
• Present results to client management and implement recommendations in collaboration with client team members.
• Leverage programming to conduct advanced analyses in a hybrid role combining management consulting and data science.
• Work collaboratively in a team environment and effectively with people at all levels in an organization.
• Communicate complex ideas effectively both verbally and in writing.

Position Requirements

• Degree in a technical subject such as Computer Science, Engineering, IT, Hard Sciences, or Mathematics; advanced degree a plus.
• Outstanding records of academic and managerial or professional achievement.
• Exceptional analytical and quantitative problem-solving skills.
• Strong record of leadership in an academic, professional, or extracurricular setting.
• Programming experience in Python or R.

Reporting to business unit leadership, the Business Analytics Associate develops dashboards, financial models, and statistical models under close supervision, using quantitative analysis and predictive modeling to generate insights that enhance understanding of business performance. Partnering with key stakeholders and peers, the role deploys automated reporting solutions and advocates for high data quality, enabling management to make fact-based decisions that drive profitability, growth, and retention.

Key Responsibilities

• Conduct accurate and timely business analysis and reporting to support and drive business decisions using statistical modeling and other business analysis tools.
• Collaborate with key stakeholders to define key financial and operational metrics to continuously monitor, track, and report performance.
• Maintain various models used to project results and enhance models where there is business value.
• Ensure analysis and reporting accuracy and integrity and advocate for high data quality necessary to meet business needs.
• Partner with peers to develop, test, and deploy automated reporting solutions and automated decision analytics to replace manual business processes.

Education and Experience

• Bachelor's degree or comparable progressive experience and applicable certifications preferred.
• Understanding of forecasting techniques or statistical analysis.
• Proficient in Microsoft Excel to build formulas and create reports.
• Basic understanding of software tools to query and report data.
• Learning agility and problem-solving skills with self-management skills and ability to multi-task and prioritize.

Sitting at the intersection of data strategy and direct marketing, the Channel Marketing Analytics Associate focuses on the card Direct Mail acquisition channel by developing capability requirements, creating campaign testing plans, and collaborating with business unit counterparts to establish account acquisition goals. Operating across agency partnerships and stakeholder relationships, the role maintains channel performance reporting and brings innovative ideas that enable the team to optimize the Direct Mail channel and stay current on evolving marketing trends.

Core Functions

• Develop capability requirements, create marketing campaign testing plans, and optimize the Direct Mail channel through response rate improvements and targeting model analysis.
• Collaborate with business unit counterparts to establish new Direct Mail account acquisition goals and develop strategic and tactical plans to achieve them.
• Maintain reporting on channel performance and individual test results.
• Manage multiple initiatives under concurrent, rigorous deadlines in a fast-paced, dynamic environment.
• Stay current on the latest marketing trends and bring innovative new ideas to the team.

Qualifications and Experience

• Bachelor's degree preferred.
• 1+ years of relevant marketing experience; credit card or financial services experience preferred.
• Strong business and marketing acumen with ability to identify business opportunities, deliver results, and adjust plans as appropriate.
• Experience either working for or with agencies and previous partner management experience preferred.
• Excellent project and time management capabilities with strong attention to detail.
• Strong communicator with ability to build and manage relationships across various stakeholders and maintain flexibility and positivity in a fluid environment.

A key member of the remote analytics team, the Analytics Associate leads client engagements and translates analytics requirements into actionable roadmaps, conducting Google Analytics audits and importing data into Google Big Query. Collaborating with a wide variety of stakeholders and mentoring junior employees, the role delivers governance over tag management and data studio reporting that enables clients to extract value from their analytics infrastructure.

Primary Duties

• Translate analytics requirements into actionable roadmaps.
• Lead client engagements and work with key stakeholders.
• Mentor and train more junior employees.
• Conduct Google Analytics audits and import Google Analytics data into Google Big Query.
• Communicate with a wide variety of people, adjusting language accordingly.

Skills and Qualifications

• Proven commercial experience in Google Analytics.
• Advanced use of Google Tag Manager including debugging.
• Project management experience.
• Proven experience with Data Studio and Big Query desirable.
• Ability and experience interacting with key stakeholders.