ANALYTICS CONSULTANT JOB DESCRIPTION

An Analytics Consultant translates client business problems into structured analytical solutions. That definition fits on one line. The professional reality is considerably more demanding: this role owns the full arc from requirements gathering and data strategy through insight delivery and stakeholder alignment, often across clients in retail, financial services, healthcare, and public sector simultaneously. Engagements routinely require Agile delivery methodology, structured data modeling, and the ability to present findings to executive leadership without losing precision. Few roles demand the same range of quantitative rigor and client-facing communication within a single workweek.

As the Analytics Consultant, you will lead the design and delivery of data strategy, analytical models, and business intelligence solutions that help clients convert complex data challenges into measurable decisions. You will work within a consulting practice alongside senior Principals and onshore and offshore analyst teams, managing project execution from scoping through final recommendations across a portfolio of client engagements.

Career Impact: Sustained delivery across multi-industry client engagements builds the kind of portfolio depth — spanning data strategy, predictive modeling, and BI implementation — that distinguishes a Senior Analyst from a recognized analytics authority in the consulting market.

Business Impact: When an Analytics Consultant performs well, clients gain the roadmaps and insight assets they need to make major commercial decisions, including network evolution, credit strategy, and marketing mix optimization that directly affect revenue outcomes.

Growth Opportunity: The path from Analytics Consultant to Principal or Practice Lead is well-defined in consulting environments, and the cross-sector exposure this role provides accelerates the timeline by compressing years of single-industry learning into a shorter span of client work.

• Translate complex client business problems into structured analytical frameworks and data-driven solution designs.
• Define data requirements, develop project delivery schedules, and manage scope to keep engagements on plan.
• Design and validate analytical models using statistical approaches spanning regression, segmentation, and predictive techniques.
• Develop summary data layers and reporting assets that answer specific business questions for client stakeholders.
• Partner with onshore and offshore analyst teams to coordinate execution and maintain deliverable quality across projects.
• Present findings and strategic recommendations to executive leadership and large stakeholder audiences in written and oral formats.
• Guide clients in data strategy by assessing data quality, identifying gaps, and recommending governance and collection improvements.
• Mentor junior analysts and contribute to internal practice-building initiatives that expand service offerings.

• Bachelor's degree in Computer Science, Mathematics, Statistics, Business Analytics, or a related quantitative field, or equivalent work experience.
• 4 or more years of analytics or business intelligence experience, with demonstrated delivery in a consulting or client-facing environment.
• Proven ability to translate ambiguous business requirements into analytical roadmaps with defined milestones and deliverables.
• Proficiency in structured query and scripting languages for data access, manipulation, and model development.
• Experience applying statistical principles to real-world business problems including segmentation, regression, and hypothesis testing.
• Strong presentation and facilitation skills with a track record of communicating quantitative findings to non-technical executive audiences.
• Demonstrated ability to manage projects under incomplete information and resolve stakeholder resistance to drive outcomes.
• Working knowledge of Agile delivery methodology and experience operating within iterative project environments.

• Advanced degree such as an MBA or Master's in Business Analytics, Data Science, or a related quantitative discipline.
• Experience with big data platforms, cloud-based analytics infrastructure, or machine learning model development.
• Prior exposure to onshore and offshore staffing models and the coordination demands they create in client delivery.
• Familiarity with industry-specific data environments such as healthcare claims, financial services risk data, or retail eCommerce datasets.

• Client deliverable acceptance rate, reflecting how often analytical outputs meet agreed scope and quality on first review.
• Stakeholder presentation score or repeat engagement rate, measuring client trust built through insight communication.
• Project milestone adherence rate, tracking how consistently engagements close on schedule across the portfolio.
• Data model accuracy rate, measured against validation benchmarks set at project scoping.
• Volume of reusable analytics frameworks developed, indicating contribution to practice efficiency and knowledge assets.
• Typical tools: Query and Scripting languages (commonly SQL and Python); visualization platforms (commonly Tableau or Power BI).

• Base Salary Range: $95,000 to $140,000 depending on experience and location.
• Bonus: Performance-based, typically 8 to 15 percent of base salary.
• Equity: Uncommon at most consulting firms; offered selectively at senior levels.
• Health Benefits: Medical, dental, and vision coverage standard.
• PTO: 15 to 20 days annually, plus standard federal holidays.
• Common Perks: Professional development budget, certification reimbursement, and client travel coverage.

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

Employment contingent on successful completion of a background check appropriate to the client environments this role serves. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability, veteran status, or any other characteristic protected under applicable federal, state, and local law. Reasonable accommodations are available to individuals with disabilities throughout the application and employment process upon request. Candidates must be authorized to work in the United States.

The Analytics Consultant owns delivery of high-impact projects across data engineering, business intelligence, and data warehouse implementations, working within a network of skilled consultants to solve complex client analytics problems. Collaborating with executive leadership and cross-functional stakeholders, this role shapes organizational data strategy and builds trusted client partnerships that drive measurable business outcomes.

Key Responsibilities

• Collaborate with a network of highly skilled consultants to solve client analytics problems and deliver high impact projects in the data space, such as data engineering and insights, business intelligence systems and data warehouse implementations, and data strategy (learn more about our full suite of services)
• Gather client and market information through interviews, surveys, workshops, and market research to support practice growth.
• Capture and translate complex business issues and requirements into structured analytical solutions.
• Support clients in developing data strategy by understanding data challenges, managing data quality, building data models, and identifying trends.
• Articulate technology options in data management, analytics development, data science, and data visualization for data-driven decision making.
• Deliver clear presentations and written communications to large stakeholder audiences and executive leadership teams.
• Manage projects with incomplete information and bring structure where there is ambiguity.
• Anticipate and resolve stakeholder resistance and other risks to drive desired outcomes.
• Develop trusted client partnerships by listening to unspoken concerns and understanding the client's business environment.
• Support internal initiatives to uplift people, processes, and market presence.

Required Qualifications

• Bachelor's degree in Computer Science, Information Technology, Mathematics, or related field; MBA, Master's degree in Business Analytics, or relevant certifications a plus.
• 4-12 years of experience in Business Intelligence or Information Management, preferably within a consulting environment.
• Demonstrated ability to create and drive roadmaps for analytics projects and develop organizational data strategy.
• Working knowledge of programming languages including SQL, Python, and R.
• Experience applying statistical principles and knowledge of relational and dimensional database structures.
• Experience using data analysis and visualization tools such as Tableau, PowerBI, Spotfire, and Qlikview, or libraries such as ggplot2, matplotlib, seaborn, and D3.
• Experience with various delivery methodologies including Agile; knowledge of big data and machine learning concepts a plus.
• Strong presentation, communication, and facilitation skills with a career history demonstrating progressive responsibilities.

Embedded within a client-facing analytics delivery team, the Analytics Consultant leads the development and delivery of statistical and machine learning models and optimization applications across the EMEA region. Working closely with client stakeholders and supported by an experienced analytics team, this role advances data-driven decision making and builds the analytical capabilities that enable clients to improve outcomes through FICO technology.

Core Functions

• Work closely with clients to understand business challenges and translate them into unique analytic solutions.
• Combine data analysis, mathematical modeling, data science, and consulting skills to solve complex problems and add value to client businesses.
• Build analytic models using a variety of statistical approaches and explain technical results to client stakeholders.
• Use FICO technology such as Analytics Workbench, Decision Optimizer, or Xpress to develop standalone models, decision strategies, or end-to-end software applications.
• Train clients in analytic methodology and the use of FICO software.
• Extend capabilities and expertise to advise clients on their strategic direction.

Qualifications and Experience

• Strong academic background in Data Science, Operational Research, Mathematics, Statistics, Economics, Engineering, Computer Science, or similar STEM subject.
• Working knowledge of at least one programming language such as Python, R, Mosel, Java, or JavaScript.
• Strong analytic and problem-solving skills with an evidence-based approach to complex real-world problems.
• Strong appetite for learning with exceptional attention to detail and capacity for independent thinking.
• Excellent communication skills including the ability to translate complicated concepts for both technical and non-technical audiences.
• Professional demeanor with motivation to take on early responsibility and ability to maintain high performance under time pressure.
• Fluent English communication skills in a business environment.

Reporting to the commercial leadership team, the Analytics Consultant supports existing and prospective market-leading clients around the globe by providing bespoke analytical and strategic insight into the evolution of multi-billion dollar delivery networks. Partnering with commercial and client stakeholders, this role enables high-value Ocado Smart Platform deals by translating complex network data into compelling, decision-ready presentations.

Primary Duties

• Consult with client and commercial team stakeholders to fully understand their needs and requirements, with occasional international travel.
• Provide bespoke analytical and strategic insight into the evolution of multi-billion dollar client delivery networks.
• Produce compelling presentations that make the complex simple and deliver them in a professional and outgoing manner.
• Negotiate deadlines with stakeholders and prioritize work in accordance with available resources.
• Build influential relationships with internal and external stakeholders, gaining trust in proposed ideas and recommendations.
• Challenge existing client assumptions and present well-founded arguments for alternative solutions.
• Stay up to date with the latest product developments and seek opportunities to apply them for client benefit.

Skills and Qualifications

• Significant consultancy experience in an analytical setting with a track record of driving major decisions, or equivalent experience as a Senior Analyst or in a similar role.
• Experience with SQL or other relevant database querying alternatives.
• Highly skilled in Tableau or similar data visualization software.
• Excellent communication and presentation skills with strong analytical abilities and clarity of thought.
• Strong organizational skills resulting in effective delivery with attention to detail, vision, initiative, and creativity.

Sitting at the intersection of digital analytics and product strategy, the Analytics Consultant supports 1-2 product areas by pulling weekly insights, monitoring data health, and translating complex findings into actionable recommendations for business owners and key stakeholders. Operating across product teams, engineering, and implementation groups, this role enables data-driven roadmap decisions and directly improves revenue outcomes for a large multi-channel retail organization.

Duties

• Pull and present weekly insights and opportunities within supported product areas.
• Monitor weekly data for overall health across 1-2 supported product areas.
• Identify and communicate data-related issues and recommendations to business owners and key stakeholders.
• Lead appropriate teams to elicit and manage business requirements.
• Define and consult on Northstar and levers metric recommendations.
• Host training sessions and develop models for how to read data.
• Articulate tagging needs to an implementation group and assist in troubleshooting post-implementation issues for complex projects.

Experience and Qualifications

• 7 years of experience in digital analytics and eCommerce with a mid to large sized multi-channel retailer.
• 3 years of experience with Adobe Analytics implementation, reporting, and analysis.
• 3 years of experience building, managing, and developing a team of direct reports or equivalent experience.
• Experience with Adobe Analytics and Power BI.
• Extensive experience with RDBMS, NoSQL, and big data technologies.
• Experience with Azure data integration, storage, and compute technologies.
• Exposure to REST, Object Oriented Design, micro services, Test Driven Design, and Continuous Integration and Continuous Deployment.
• Excellent oral and written communication skills with extreme attention to detail and ability to present quantitative findings in easy-to-understand terms.

A key member of the enterprise data and analytics team, the Analytics Consultant implements analytical models on datasets, defines global standards for data models and KPIs, and builds data pipelines with quality metrics to uncover insights across healthcare and pharmaceutical data. Collaborating across Product Owners, Scrum Masters, Data Engineers, and Data Scientists within agile pods, this role enables data-driven product roadmap decisions and advances AI capabilities across global business units.

Functions

• Implement analytical models on datasets to uncover insights as a data champion.
• Validate business requirements and define global standards for data models, key performance indicators, and measures.
• Create and implement repeatable analytics models and build data pipelines with data quality metrics in place.
• Host co-creation sessions to tell a story with data, producing mock-ups to iterate on user feedback.
• Understand the enterprise data landscape and align on global standards across multiple stakeholder groups.
• Collaborate with business stakeholders to translate requirements into data, analytics, and AI capabilities.
• Partner with Product Owners, Scrum Masters, Data Engineers, and Data Scientists to create data products within agile pods.

Technical Qualifications

• University degree in Engineering, Computer Science, Mathematics, Data Science, or related field.
• Experience in data visualization and analytics solutions deployment within an Agile environment.
• Strong technical knowledge in building analytical models using Python and SQL.
• Experience performing analysis on structured Real-World Data such as claims and EHR; strong statistical background with biostatistics a plus.
• Experience deploying analytical models using software development tools like GitHub and building data pipelines with data quality metrics.
• Knowledge of data platform tools like Snowflake, cloud platforms like AWS, and data discovery tools like Informatica DQ and Axon.
• Interest in healthcare and pharmaceutical data.

Compliance with model risk requirements and financial crimes regulations depends on the Analytics Consultant, who develops and enhances Economics Sanction Models and AML Transaction Monitoring models across multiple products and lines of business. Based within the Financial Crimes analytics function and partnering with business and technical groups, this role supports Anti-Money Laundering and counter-terrorist financing surveillance programs that protect organizational and regulatory integrity.

Accountabilities

• Develop and enhance a suite of Economics Sanction Models and AML Transaction.
• Monitoring models across various products and lines of business.
• Provide analytical support for business initiatives in the Financial Crimes space including Economics Sanction, Anti-Money Laundering, and counter-terrorist financing surveillance.
• Partner with business and technical groups to design and implement analytic solutions.
• Maintain program compliance with all corporate model risk requirements and ensure adherence to legal regulations and company policies.

Background and Experience

• Master's degree or Ph.D. in applied math, statistics, engineering, physics, economics, econometrics, computer sciences, or related quantitative field.
• Certified Anti Money Laundering Specialist (CAMS).
• 5 or more years of analytics experience or equivalent through work experience, training, military experience, or education.
• Prior experience with Economics Sanction Models and AML Transaction Monitoring Models.
• Familiarity with AML and BSA Regulatory Compliance and Model Risk Management expectations.
• Solid foundation in statistical modeling and machine learning model building with hands-on experience manipulating large datasets using SQL.
• Proficient in SAS, SQL, Python, and R.
• Excellent verbal, written, and interpersonal communication skills.

As the Analytics Consultant, this role engages with customer experts and end users to analyze data, identify anomalies, build high-level concept models in MS Excel, and deliver technical model implementations and user training. The consulting team relies on this work to translate client requirements into structured analytical solutions that improve decision quality across a range of quantitative modeling engagements in the Netherlands.

Role Responsibilities

• Engage with customer experts and end users to discuss their requirements and wishes.
• Differentiate between high and less relevant factors when building analytical models.
• Analyze data to identify anomalies and check data quality.
• Provide a high-level concept model in MS Excel before actual implementation.
• Implement models technically and give training on the application to users.

Qualifications and Experience

• University degree in Econometrics, Business Mathematics, Computer Science, Engineering, or other relevant technical field.
• 3 or more years of relevant working experience, or 5 or more years for senior positions.
• Experience in modeling and programming; knowledge of R, Python, AIMMS, databases, and Excel is an advantage.
• Strong communication skills with ability to work independently, in a team, and at client locations.
• Ambitious and quick problem-solver with excellent analytical skills and a puzzle-solving mindset.
• Fluent English communication skills both verbally and in writing; currently living in the Netherlands.

Analytics Consultant delivers high-level business consulting and promotes AI and analytics technology solutions based on dot Data products and services to target accounts globally. The work directly supports long-term client partnerships by proposing additional AI and analytics use cases in the post-sales phase and reporting client status to both the supervisor and the Company's Data Driven DX Division.

Job Functions

• Promote the sales of AI and analytics technology solutions based on dot Data products and services.
• Deliver high-level business consulting to target accounts and expand business relationships.
• Establish and enhance executive-level relationships with target accounts.
• Understand client issues and propose AI and analytics solutions based on dot Data products and services.
• Ensure long-term partnerships with clients in the post-sales phase by proposing additional use cases of AI and analytics technology.
• Report the status of each client to the supervisor and to the Company's Data Driven DX Division periodically.

Education and Experience

• Degree in Computer Engineering or equivalent.
• At least 8 years of practical experience working or consulting in analytics.
• Fundamental ICT knowledge related to analytics solutions including AI, BI, database, and cloud services like AWS and Azure.
• Ability to understand client issues and propose appropriate AI and analytics solutions independently.
• A wide range of curiosity regardless of own specialty and ability to respect others with different expertise.

The Analytics Consultant owns the design and delivery of robust analytic and reporting solutions, constructing and manipulating large datasets using Python, SAS, and SQL to answer complex financial, utilization, and clinical business questions. Collaborating with Data Strategy teams, cross-functional project leads, and external customers, this role enables data-driven decision making by building dynamic Tableau dashboards and delivering clear written reports of analytical findings.

Key Deliverables

• Collaborate with key internal and external stakeholders to gather and analyze needs and requirements.
• Design and implement robust analytic and reporting solutions to support identified needs.
• Access data, design summary data layers, and construct and manipulate large datasets using Python, SAS, and SQL.
• Assess existing data, identify data gaps, and collaborate with Data Strategy and business partners to close those gaps.
• Build dynamic dashboards using Tableau and perform testing and validation of summary data layers and reporting tools.
• Conduct analyses ranging from descriptive reports to univariate statistical analyses to regression modeling.
• Communicate complex technical subjects to technical and non-technical audiences and develop documentation and training materials.
• Construct and deliver written reports of analytic findings in reports and presentations, including data visualizations and formulated recommendations.
• Manage complex projects related to a wide variety of financial, utilization, and clinical business needs.

Minimum Qualifications

• Bachelor's degree required; advanced degree in a quantitative field preferred.
• 1 or more years of experience in healthcare data analysis constructing analytical solutions to business problems including experience with pharmacy or medical claims data.
• 1 or more years of experience developing analytic and reporting methodology.
• 2 or more years of experience using SQL, SAS, or Python to access, extract, manipulate, and summarize data.
• Experience as a project lead with cross-functional teams developing innovative analytic approaches.
• Working knowledge of statistical methods and experience developing standardized outcome metrics and repeatable reporting methodologies.
• Experience building Tableau dashboards and applying test-and-learn analytic concepts in healthcare or a related setting.
• Excellent written and oral communication skills with strong project management skills and ability to deliver in a fast-paced environment.

Embedded within the Operations analytics function, the Analytics Consultant develops dashboards and reporting capabilities using PowerBI, Tableau, and SAS to provide insights across the operational data continuum from question identification through results interpretation. Working closely with the Technology team and business stakeholders, this role ensures that data infrastructure supports operational oversight and translates technical findings into business-ready concepts that drive action.

Day-to-Day Responsibilities

• Collaborate with business stakeholders to understand analytics needs, develop plans, and deliver reporting and analytics to meet those needs.
• Develop dashboards and reporting to provide insights to business stakeholders and maintain data and analytics for operational oversight.
• Translate technical data insights into business-ready concepts across the operational data continuum from question identification through results interpretation.
• Collaborate with the Technology team to ensure data infrastructure and architecture support operational reporting and analytic needs.
• Develop short-term quick-win outputs as well as longer-term data and reporting capabilities.
• Interpret data to identify trends, patterns, and opportunities to drive business action.

Education and Experience

• Bachelor's degree in mathematics, computer science, engineering, or related field, or equivalent combination of experience and education.
• 5 or more years of report development, business intelligence, or analytics experience.
• Advanced expertise with business intelligence tools including PowerBI, Tableau, and SAS.
• Understanding of data architecture and its impacts on business intelligence.
• Ability to frame an analysis end-to-end in collaboration with business and technical stakeholders.
• Expertise in reporting, analytics, data visualization, or programming with exacting attention to detail and strong data validation practices.
• Experience with healthcare and consumer data highly desirable.
• Eager learner, collaborative partner, easy communicator, and careful analyst with a passion for operational excellence.

Reporting to analytics leadership, the Analytics Consultant develops and maintains data flows, datasets, and dashboards using Salesforce Einstein Analytics and Google Analytics 360, while overseeing the web analytics infrastructure including Google Tag Manager implementation across enterprise and global environments. Partnering with Marketing, Community, and Commerce Cloud teams, this role enables data-driven marketing decisions by building training resources, technical documentation, and ad-hoc dashboard solutions for multiple business units.

Strategic Responsibilities

• Develop and maintain data flows, datasets, and dashboards using Analytics Cloud in Salesforce.
• Assist teams in defining the direction of how and where Einstein Analytics should be used.
• Analyze large volumes of data using Salesforce Einstein Analytics, R, and Python.
• Assist in the migration from Adobe Analytics to Google Analytics 360.
• Develop, manage, and maintain the web analytics infrastructure including data collection, integration, platform administration, and reporting.
• Oversee the implementation of marketing tags in Google Tag Manager using JavaScript and HTML.
• Create and maintain technical specification documents and test cases.
• Develop and provide training on dashboards to various business units and support ad-hoc dashboard requests.

Skills and Qualifications

• Bachelor's degree in Computer Science or related field.
• Salesforce and Google Analytics certifications required.
• 8 or more years of experience in a Business Analyst or Analytics role from an enterprise and global environment.
• 5 or more years of experience building solutions in Salesforce Einstein, Google Analytics 360, and GTM.
• Experience with Marketing Cloud, Community Cloud, Commerce Cloud, and prior experience building digital web and mobile native app analytics.
• Experience with databases and writing complex SQL queries in Oracle and MySQL.
• Experience with scripting tools including HTML and JavaScript and visualization tools such as Tableau, Qlik, and TIBCO Spotfire.
• Strong analytical and communication skills with a passion for data, reporting, and visualization.

A key member of DLL's global analytics organization, the Analytics Consultant delivers agreed analytics priorities by developing predictive models, performing loss simulations, and maintaining risk-based pricing tooling in support of credit underwriting across Group, Region, and Country stakeholders. Collaborating with country organizations and IT project teams, this role improves business performance for DLL and its partners by transitioning analytics activities to a cloud-based platform with advanced capabilities.

Ownership Areas

• Work closely with Group, Region, and Country stakeholders to understand business requirements and priorities and deliver agreed analytics priorities.
• Develop and maintain tooling to predict losses based on macroeconomic developments in support of credit underwriting.
• Perform loss simulations for different customer segments to optimize risk sharing between DLL and partners.
• Perform change management and provide user support for risk-based pricing tooling.
• Develop and maintain predictive models and tooling to increase effectiveness and efficiency of lead conversion.
• Participate in IT-related projects to improve and further implement DLL's global risk infrastructure.
• Perform ad-hoc data mining to create insights that improve business performance for DLL and partners.
• Develop recommendations based on performed analysis and communicate results effectively to the business in written and verbal form.
• Support transition of Analytics activities to a cloud-based platform with state-of-the-art analytics capabilities.

Knowledge Skills and Abilities

• Bachelor's or Master's degree in Econometrics, Actuarial Science, Statistics, Mathematics, or another quantitative discipline.
• Demonstrated experience and affinity with mathematics, statistics, and data analysis.
• Experience executing quantitative analyses using R and Python.
• Experience extracting data from various databases, analyzing data, and communicating results to the business.
• Advanced and intermediate skills in MS Excel and proficiency in SQL.
• Experience with Microsoft Azure and its main components.
• Strong communicative and project management skills with strong customer focus and attention to detail.
• Fluency in English and knowledge of other languages.

Analytics Consultant builds analytic models using statistical approaches including general linear model, ANOVA, decision trees, and Bayesian techniques to develop Algorithmic Credit Decisioning models in support of Banking and Financial Services clients across Group and Country levels. Success in the position means ensuring operational procedures comply with the Bank's strategy and Group Governance requirements while delivering analytics priorities independently using SAS, SQL, and data mining tools.

Scope of Work

• Work closely with Group, Region, and Country stakeholders to understand business requirements and deliver analytics priorities.
• Build analytic models using statistical approaches including general linear model, ANOVA, decision trees, linear regression, and Bayesian techniques.
• Develop Algorithmic Credit Decisioning models independently to support project delivery.
• Ensure appropriate operational procedures are in place in compliance with the Bank's strategy, branding policies, and standards.
• Ensure adherence to Group and Country Governance requirements.

Professional Experience

• At least 1 year of relevant work experience in Banking or Financial Services working on SAS and model development.
• In-depth business understanding of client segments, products, channels, and business life-cycles.
• Expert in building Credit Risk and Marketing models with conceptual and technical knowledge of risk concepts and quantitative modeling techniques.
• Proficient in SAS including SAS macro; SAS Enterprise Miner knowledge preferred.
• Hands-on experience in data mining, big data, BI, and analytics tools and techniques.
• Strong written and verbal communication skills with a self-driven and result-focused approach.

The Analytics Consultant shapes analytics solutions that influence decision-making at senior levels of the organization, designing and maintaining dashboards in Tableau and Power BI to inform KPIs and drive outcomes from business decisions across retail, e-commerce, and digital marketing contexts. Collaborating with global teams through on-site and offshore models, this role delivers advanced analytics services that generate data-driven insights, plans, and recommendations for client stakeholders.

Key Responsibilities

• Providing analytics solutions to influence decision-making at senior levels of the organization.
• Define data requirements, conceptualize and perform analysis, and coordinate implementation of analytics solutions.
• Perform exploratory data analysis, develop and test business hypotheses, and generate data-driven insights, plans, and recommendations.
• Design and maintain dashboards using Tableau and Power BI to inform KPIs and outcomes from business decisions.
• Support implementation and integration of analytics solutions to achieve maximum business value for clients.
• Maintain existing analytics solutions and develop processes to continuously monitor deliverable quality and integrity.
• Prioritize analytical requests, develop project delivery schedules, manage scope revisions, and leverage workflow tools to monitor project progress.

Required Qualifications

• Bachelor's degree required, Master's preferred, in Engineering, Business Analytics, MIS, Data Science, Statistics, or related quantitative field.
• At least 5 years of experience delivering advanced analytics solutions and services to clients.
• Experience in retail, e-commerce, loyalty marketing, and digital marketing.
• Hands-on experience with big data technologies such as Hadoop, Teradata, and Python, and cloud platforms including Azure Databricks.
• Experience in predictive modeling, data mining, and segmentation on large databases, and developing ETL automation solutions using Alteryx.
• Knowledge of visualization tools including Tableau and Power BI.
• Proven ability to engage with client stakeholders, work with global teams, and communicate effectively across on-site and offshore models.

Embedded within a specialized biotech and pharma analytics practice, the Analytics Consultant leads client interactions, manages project execution from planning through final recommendations, and guides onshore and offshore analyst teams to deliver high-impact business solutions. Working closely with Principals and contributing to internal initiatives, this role develops new services and product offerings that strengthen the organization's market position and analytical capabilities.

Core Functions

• Lead client interactions and build trusting and lasting relationships as a thought partner and subject matter expert.
• Manage project execution from planning and design to insight generation and final recommendations.
• Guide and coach onshore and offshore analyst teams to ensure project success against set plans.
• Work with Principals to deliver and present high-impact business solutions to clients.
• Contribute to internal initiatives and help drive development of new services and product offerings.

Qualifications and Experience

• Master's degree or MBA preferred; degree in engineering or science required.
• At least 5 years of experience in management consulting, data analytics, or similar roles in biotech and pharma.
• Deep knowledge of healthcare datasets and use of database manipulation tools including SAS, SQL, and Alteryx.
• Strong analytical skills with ability to translate complex analysis into strategic insights and recommendations for sales and marketing teams.
• Experience with onshore and offshore staffing models preferred.
• Strong verbal and written communication skills, results-driven with focus on excellence, and strong team player in fast-paced environments.

Reporting to OR organization leadership, the Analytics Consultant supports discrete-event simulation modeling and analytical engagements through data mining, analytics, and data-driven business process evaluation, translating raw and ambiguous business process data into meaningful insights. Partnering with sponsors, subject matter experts, and senior stakeholders across long-term projects, this role delivers quantifiable business value by building and deploying prototype solutions and full-stack simulation models.

Primary Duties

• Translate raw, complex, and ambiguous business process data into meaningful insights to support simulation modeling and analytics engagements.
• Support full-stack model development including data gathering, exploration, manipulation, model development, and validation of simulation models.
• Build and deploy prototype solutions to demonstrate concepts and prove business value.
• Perform assessments of business processes to define problem statements, formulate solution strategies, and achieve stakeholder agreement on proposed analytical work.
• Actively manage timely completion of all engagement milestones and tasks on long-term projects.
• Proactively communicate with sponsors, key stakeholders, and subject matter experts to foster strong relationships as a trusted advisor.
• Deliver quantifiable and documented business value for the work performed.

Experience and Qualifications

• Bachelor's or Master's degree in a quantitative field; degrees in Operations Research, Systems Engineering, or Industrial Engineering a plus.
• Project Management Professional (PMP) certification and management consulting experience a plus.
• 3 or more years working on complex, highly visible analytical projects in a large-scale corporate environment.
• Experience managing and processing large, unstructured data with familiarity in data warehousing and transformation tools and multiple database technology implementations.
• Practical experience with statistics including regression, distribution fitting, forecasting, and bootstrapping, and theoretical knowledge of discrete event simulation and agent-based simulation a plus.
• Proficiency in SAS, SQL, Alteryx, and Python; knowledge of Tableau and discrete event simulation software such as Simul8, FlexSim, AnyLogic, Simio, or iGrafx a plus.
• Superior ability to structure and scope complex problems, apply analytical tools, synthesize insights, and develop solutions.
• Strong client and project management skills with ability to partner with senior leaders and front-line employees.

The Analytics Consultant creates robust models and non-model quantitative tools in support of complex financial and economic research, translating regulatory stress test scenarios into model parameters and designing database structures to enable effective data sourcing strategies. Serving as a resource to less experienced specialists and partnering with technology and business groups, this role ensures adherence to data governance regulations while enabling strategic decision making across mortgage loan level data and financial performance analysis.

Duties

• Consult to Business Line and enterprise functions responsible for complex financial and economic research and model development.
• Perform analysis of findings and trends using statistical or financial analysis, modeling, process documentation, profitability analysis, and customer or demographic analysis.
• Recommend solutions to increase revenue, reduce expense, and maximize operational efficiency, quality, and compliance.
• Design and implement database structures or software tools in support of effective data sourcing strategies.
• Translate regulatory stress test scenarios into model parameters, evaluate results, and advise management on course of action.
• Ensure adherence to data management and data governance regulations and policies.

Background and Experience

• 2 or more years of analytics experience or equivalent through work experience, training, military experience, or education.
• Experience gathering, analyzing, and interpreting large datasets with the ability to design or develop automated solutions to business problems.
• Knowledge of BI platform and tools such as SSAS, SSIS, SSRS, and TSQL; experience with Tableau and Power BI.
• Advanced Microsoft Office skills including Word, Excel, Outlook, PowerPoint, and Access.
• Ability to perform statistical and performance analytics, incorporate multiple data sources, and develop strategies and operational processes.
• Strong analytical skills with high attention to detail, accuracy, and excellent verbal, written, and interpersonal communication skills.

The Analytics Consultant will advance the role of analytics as strategic thought partner across the business and will contribute to a culture of theory testing and data-driven decision making. The Analytics Consultant elevates cost containment strategy by investigating patterns and trends in health care cost and utilization data, developing reporting assets, and producing concise analytical summaries for a variety of audiences across presentations, executive summaries, and oral discussions. Coordinating with business stakeholders and the Medical Cost Management team, this role quantifies cost containment opportunities and builds knowledge across traditional claims and real-time provider data to enable data-driven action.

Accountabilities

• Investigate key business problems by analyzing data to identify patterns and trends in cost and utilization, translate analysis into insights, and define opportunities to drive business action.
• Develop methods and reporting assets to improve efficiency of identifying, quantifying, and monitoring cost containment strategies.
• Bring together multiple sources of complex data to design and develop reports that answer a business question.
• Produce clear and concise summaries of analytical findings for presentations, email summaries, executive summaries, and oral discussions.
• Build knowledge in core areas of health care data including traditional claims data and real-time provider data.
• Collaborate with business stakeholders to understand analytics needs, develop plans, and deliver analytics to meet those needs.

Education and Experience

• Bachelor's degree in an analytics-related field or 10 or more years of professional experience required.
• 2 or more years of analytics experience required; 1 or more years of health care industry experience preferred.
• Experience working with medical claims highly preferred; experience with Risk Adjustment desired.
• Expertise with at least one analytic tool including SQL, SAS, Excel and VBA, or Tableau.
• Expertise in analytics, statistics, data visualization, or programming with exacting attention to detail and data quality.
• Eager learner, collaborative partner, easy communicator, and careful analyst with a passion for empirical research and answering hard questions with data.

As an Analytics Consultant, you will have the opportunity to blend your advanced analytics skills with traditional consulting. The Analytics Consultant refines the analytical scope and method for projects, applies advanced analytics and modeling techniques to solve complex business and policy problems, and combines datasets to generate new insights for client proposals. The Nous consulting team relies on this work to build credible client relationships and deliver sound knowledge of business offers, methodologies, and digital tools across a variety of sectors.

Areas of Ownership

• Define the analytical scope and method for projects and apply best practices to the management and manipulation of data.
• Apply advanced analytics and modeling techniques to help solve complex business and policy problems.
• Combine datasets to generate new insights and contribute valuable content to projects and proposals.
• Build trusting and credible relationships with clients on projects and articulate sound.
• Knowledge of Nous business offers, methodologies, and digital tools.

Requirements

• Distinction average or above academic background required; work experience and education in areas related to Nous sectors and capability areas preferred.
• Experience using advanced analytics and modeling techniques to solve complex business and policy problems.
• Experience with R, SQL, and Tableau or Power BI, or demonstrated ability to learn new programming languages and technologies.
• Strong analytical skills with the capacity to interpret qualitative and quantitative data and think, articulate, and write logically.
• Creative, self-directed, collaborative, and enthusiastic about working across service lines and a variety of sectors.

A key member of an international consulting team, the AI and Analytics Consultant participates in all stages of AI and Analytics solution implementation including requirements gathering, data integration, modeling and ETL, and development, analyzing client operations for trends, volume, and operator metrics to support decisions. Collaborating across senior consultants and working independently on smaller projects, this role enables clients to leverage the power of data through cloud platforms including Azure, AWS, Google, SAP, and ServiceNow.

Work Activities

• Help to leverage the power of data for our clients
• Participate in different AI and Analytics solution implementation stages including requirements gathering, data integration, modeling and ETL, development, and handover and documentation.
• Analyze client operations for trends, volume, operator metrics, and other indicators to support decisions.
• Work alongside senior consultants on larger solutions or independently on smaller projects.
• Support solutioning and planning activities in a fast-paced international environment.

Position Requirements

• Minimum 1 year of experience in Cloud Data, Data Analytics, or Data Science.
• Hands-on experience across different AI and Analytics implementation stages.
• Good knowledge and work experience with BI tools such as Power BI, Tableau, Qlik, and ServiceNow Performance Analytics.
• Practical knowledge of at least one language including SQL, Python, or R.
• Experience working with AI and Analytics in cloud platforms such as Azure, AWS, Google, SAP, and ServiceNow.
• Good understanding of Data Storage, Data Integration, ETL, Data Visualization, Data Science, Machine Learning, AI, and Big Data and Data Lake concepts.

As an Analytics Consultant, you will play a critical role in delivering results to support international clients decision making in a reliable and efficient manner. Analytics Consultant oversees the use of Nielsen tools and methodologies to build answers to business questions from market data, converting analysis results into business-focused and actionable client reports for FMCG clients optimizing marketing mix, pricing, and promotion activities. The work directly supports international client management teams by coordinating project execution between teams of experts and delivering insights through clear, presentation-ready recommendations.

Delivery Expectations

• Work as part of an international project team helping FMCG clients optimize marketing mix, pricing, and promotion activities.
• Use Nielsen tools and methodologies to build answers to business questions from market data.
• Convert analysis results into business-focused and actionable client reports.
• Deliver insights and recommendations to the client in a presentation format.
• Coordinate project execution between teams of experts.

Qualifications and Experience

• Interested in market research and business, data-based consulting with quantitative analysis skills and background.
• Focused on helping clients win in the market and excited to present analysis results.
• Fluent in Excel and PowerPoint.
• Fluent in English; another European language would be an asset.
• Able to effectively communicate in a cross-country environment.

The Analytics Consultant lead a small team to operate as an internal consultancy that will enhance analytical innovations, work with the analytics manager to solve complex problems, help to make decisions and meet all business requirements. The Analytics Consultant manages and prioritizes the analytics portfolio, works on quantitative and qualitative scenario models, and prototypes algorithms to drive optimal business decisions. Based within an internal analytics consultancy and reporting to the analytics manager, this role maintains best practice standards and manages senior stakeholders to advance data-driven decision making across the organization.

Key Responsibilities

• Manage and prioritize the analytics portfolio and create efficient business plans.
• Make the most of analytical resources and drive optimal business decisions.
• Manage senior stakeholders in a confident manner.
• Work on quantitative and qualitative scenario models and prototype algorithms.
• Maintain and share best practice and keep up to date with new ideas.

Required Qualifications

• Strong analytical and reporting skills.
• Knowledge of reporting tools and techniques.
• Strong data manipulation ability with the capacity to solve business problems into a concise set of issues.
• Strong project management skills and good knowledge of business problems.
• Good communication skills.

A remote working Analytics Consultant will need to be proactive and be able to take initiative when providing solutions. The Analytics Consultant develops actionable roadmaps from analytics requirements, leads client engagements, and conducts GA audits while importing Google Analytics into Google BigQuery and debugging through Google Tag Manager. The work directly supports key stakeholders by mentoring junior employees and maintaining web analytics infrastructure that enables reliable, data-driven client decisions.

Core Responsibilities

• Translate analytics requirements into actionable roadmaps.
• Lead client engagements and work with key stakeholders.
• Mentor and train more junior employees.
• Conduct GA audits and import Google Analytics into Google BigQuery.
• Debug using Google Tag Manager and communicate with a wide variety of people, adjusting language accordingly.

Qualifications and Experience

• Proven commercial experience in Google Analytics and advanced use of Google Tag Manager.
• Project management experience.
• Proven experience with Data Studio.
• BigQuery experience desirable.
• Ability to interact effectively with key stakeholders.