SENIOR ANALYTICS CONSULTANT JOB DESCRIPTION

A Senior Analytics Consultant is someone who turns a client's raw data problem into a defensible, decision-ready answer. That single sentence covers a great deal of ground. In professional services, this role owns the full arc from scoping analytical requirements against statements of work to deploying statistical models and translating results into client-facing reports and recommendations. Engagements span industries from financial services fraud strategy to CPG and retail marketing mix, meaning the ability to shift analytical frameworks across sector contexts is a baseline expectation, not a differentiator.

As the Senior Analytics Consultant, you lead client-facing analytics engagements from requirement gathering through model delivery, serving as the primary analytical voice across scoping, design, and quality review phases. You work across project teams that include pre-sales, delivery architects, junior analysts, and client stakeholders, with scope that extends to RFI and RFP support, workshop facilitation, and ongoing advisory relationships.

Career Impact: Sustained delivery across financial services fraud strategy and CPG marketing mix builds a cross-sector consulting profile that is recognized across senior client and pre-sales hiring markets.

Business Impact: Client organizations rely on this role to convert ambiguous data questions into scoped, model-backed recommendations that inform pricing, fraud response, and commercial strategy decisions.

Growth Opportunity: Exposure to RFP processes, stakeholder management at senior levels, and cross-industry model deployment positions you for progression into Analytics Lead, Analytics Manager, or client account ownership roles.

• Lead client requirement gathering sessions to define analytical scope, resolve ambiguity, and produce output documents aligned to statements of work.
• Design analytical solutions during scoping and proposal phases, mapping client data problems to appropriate modelling approaches.
• Deliver end-to-end analytics projects including data readiness checks, model development, and quality-controlled reporting back to clients.
• Translate quantitative model outputs into business-language findings and practical recommendations for client stakeholder groups.
• Guide junior analysts through variable selection, model finalisation, and delivery coordination to maintain project quality and timelines.
• Collaborate with pre-sales, architects, and cross-functional teams to support RFI and RFP responses and practice development activities.
• Monitor project scope throughout delivery, proactively flagging misalignment and facilitating workshops to unblock progress.

• Bachelor's degree in a STEM, economics, mathematics, or related quantitative field, or equivalent work experience.
• 5 or more years of analytics consulting, business analysis, or requirements management experience, with direct client-facing delivery accountability.
• Demonstrated ability to gather complex analytical requirements from business stakeholders and translate them into modelling frameworks.
• Experience deploying statistical models and analytical algorithms in real client environments, including validation and results communication.
• Strong written and verbal communication skills, with proven ability to present complex quantitative findings to non-technical audiences.
• Working knowledge of scripting and querying languages for data manipulation and model support, used independently on client projects.
• Experience in stakeholder management and expectation setting across multi-party project environments including internal teams and external clients.

• Industry experience in financial services, fraud strategy, CPG, retail, or a related sector with structured analytics demand.
• Familiarity with machine learning concepts including feature engineering, model evaluation, and model bias sufficient to guide deployment decisions.
• Experience contributing to or leading responses to client RFI and RFP processes in a consulting or pre-sales context.
• Knowledge of econometric methods such as Marketing Mix Modelling or time series forecasting applied in a commercial engagement context.

• Percentage of projects delivered on scope and within agreed timeline, reflecting planning and unblocking effectiveness.
• Client stakeholder feedback score across engagements, measured at project close or review milestones.
• Number of RFI and RFP responses contributed to per quarter, reflecting commercial pipeline support.
• Model acceptance rate by client QA teams, indicating solution design quality and data readiness preparation.
• Rate of scope creep incidents per engagement, measuring requirement clarity and early misalignment detection.
• Typical tools: Statistical scripting (commonly Python or R), query languages (commonly SQL), visualisation (commonly Tableau or Power BI)

• Base Salary Range: $110,000 to $150,000 depending on seniority and sector specialisation
• Bonus: 10% to 20% annual performance bonus tied to project delivery and utilisation targets
• Equity: rarely offered at this level in consulting; possible at senior partner-track firms
• Health Benefits: medical, dental, and vision coverage standard across most consulting employers
• PTO: 15 to 20 days annually, with variability by firm and seniority level
• Common Perks: Professional development budget, client travel reimbursement, and certification support

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

Background check completion is required as a condition of employment for all positions. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, age, veteran status, or any other characteristic protected under applicable federal, state, or local law. Reasonable accommodations are available to individuals with disabilities throughout the application and employment process upon request. Candidates must be authorized to work in the United States.

The Senior Analytics Consultant owns end-to-end delivery of analytics projects, leading client workshops, scoping sessions, and deployment of statistical models within large enterprise environments. Working closely with internal development teams and external stakeholders across financial services and fraud strategy, this role ensures timely, high-quality analytic outputs that enable customers to act on data-driven insights.

Key Responsibilities

• Lead the end-to-end delivery of analytics projects, facilitating customers and internal teams through each stage.
• Review and lock down project scope by understanding analytical requirements and anticipating misalignment with statements of work.
• Take the lead on internal and customer meetings, handling questions confidently and driving key decisions from stakeholders.
• Drive interactions with customers to understand problems they want to solve, proposing optimal analytical solutions in scoping and design phases.
• Educate customers on the platform and analytical solutions available.
• Work with customers to understand opportunities and constraints of their existing data in the context of industry-leading analytical solutions.
• Proactively unblock deliveries and ensure timely completion, including running workshops, holding meetings, and aligning stakeholders.
• Lead project workshops in the analytics and data space, advising customers through data readiness checks and common data issues.
• Assist internal teams with development and deployment of statistical models and algorithms ready for integration.
• Produce, review, and quality control materials that feed analytic results back to customers, including reports, presentations, and visualisations.

Required Qualifications

• Bachelor's degree or higher in a STEM field from a top-tier university.
• 5 or more years of experience in analytics consulting, business analysis, or a requirements management environment.
• Experience delivering enterprise software systems into large organisations as either vendor or customer.
• Industry experience in financial services, fraud, and fraud strategy.
• Knowledge of fundamental machine learning concepts including feature engineering, algorithms, model evaluation, and model bias.
• Practical experience handling and mining large, diverse data sets, with experience deploying statistical models and analytical algorithms.
• Working knowledge of Python and SQL, with familiarity with software engineering practices, version control, and the Unix command line.
• Strong written and verbal communication skills, with the ability to explain complex analytical concepts to varied audiences.
• Experience in stakeholder management, customer expectations management, and managing team members.

Embedded within the Analytics practice, the Senior Analytics Consultant develops and delivers data and BI solutions for customers across EMEA, conducting requirement gathering sessions, drafting RFI and RFP responses, and translating complex data science requirements into actionable analytical outputs. Working closely with Analytics Architects, Managers, pre-sales, and sales consultants, this role supports strategic planning and practice growth across functional areas.

Strategic Responsibilities

• Work with Analytics Architects and Managers to provide inputs to customer RFI and RFP processes by analysing and drafting responses.
• Conduct requirement gathering sessions with business teams, stakeholders, and SMEs to capture analytics requirements and produce output documents.
• Interpret and map requirements around data science, machine learning, and AI to appropriate solutions.
• Conduct data analysis processes for creating data models and delivering BI solutions, including collection and utilisation of all relevant data.
• Play the consultant role in analysing vast data from varied sources and producing insights and intelligence.
• Liaise with pre-sales, sales, and consultants across functional areas to support practice growth.
• Extend knowledge of Business Intelligence to provide ongoing refinement of processes and improve operations.
• Present complex information in a clear and precise manner to non-technical audiences.
• Travel within Europe on client-facing engagements as required.

Qualifications and Experience

• 5 to 7 years of strong data and analytics knowledge and skills, with experience on analytics projects across EMEA.
• Willingness and ability to learn Vistex functionality and SAP HANA technologies quickly.
• Experience conducting onsite and remote customer workshops and producing functional and technical specifications.
• Knowledge of Predictive Analytics, machine learning, and AI tools such as SAP PAL or Python, desirable but not essential.
• Knowledge of Google Cloud Platform analytics tools is a plus.
• SQL knowledge with ability to read and write SQL statements and stored procedures.
• Excellent communication, presentation, and interpersonal skills, both written and verbal.
• Strong work ethic, self-motivated, dependable, team player, and results-oriented.

Reporting to analytics leadership, the Senior Analytics Consultant creates and implements repeatable analytics models and global data standards across enterprise solutions, translating business requirements into data, analytics, and AI capabilities. Partnering with Product Owners, Scrum Masters, Data Engineers, and Data Scientists in agile pods, this role drives measurable impact for business units and markets in the healthcare and pharmaceutical sector.

Core Functions

• Implement analytical models on data sets to uncover insights and act as a data champion for the organisation.
• Validate business requirements, define global standards for data models, key performance indicators, and measures, then implement those standards within products.
• Create and implement repeatable analytics models that can be deployed across business units and markets.
• Tell a story with data, hosting co-creation sessions to ensure needs are well understood and features are well articulated.
• Understand the data landscape that enables enterprise solutions, aligning on global standards across multiple stakeholder groups.
• Collaborate with business stakeholders to understand requirements and translate them to data, analytics, and AI capabilities.
• Partner with Product Owners, Scrum Masters, Data Engineers, and Data Scientists to create data products in agile pods.
• Understand enterprise data governance, data architecture, and data management standards.

Skills and Qualifications

• University degree in engineering, computer science, mathematics, data science, or a related field.
• Experience in data visualisation and analytics solutions deployment, including building data pipelines with data quality metrics.
• Strong statistical background, with biostatistics a plus, and experience performing analysis on structured Real-World Data such as claims and EHR.
• Interest in healthcare and pharmaceutical data, with experience in that industry preferred.
• Strong technical knowledge in building analytical models using scripting languages such as Python and querying languages such as SQL.
• Knowledge of data platform tools such as Snowflake and cloud platforms such as AWS.
• Knowledge of data discovery tools such as Informatica DQ and Axon preferred.
• Strong knowledge working within an Agile environment and deploying analytical models using software development tools such as GitHub.

Sitting at the intersection of data analytics and digital gaming, the Senior Analytics Consultant builds and maintains reporting infrastructure, identifies business opportunities through A/B experiments and audience segmentation, and uses analytics to understand what drives player engagement and game success. Operating across product, marketing, development, and live ops teams, this role delivers insights that directly shape game features and critical business metrics.

Primary Duties

• Build and maintain reporting for digital games, designing analytics messaging and crafting reports with a keen eye for data visualisation.
• Make practical recommendations that elevate the business and serve as the analytics voice across teams.
• Proactively identify and quantify business opportunities that have a meaningful impact on critical game metrics.
• Drive change by applying innovative methods including A/B experiments, audience segmentation, and related techniques.
• Use expert problem-solving and analytics skills to understand what drives game success and what makes players engaged.
• Collaborate with partners across product, marketing, development, and live ops to build the data foundation and deliver relevant insights.

Experience and Qualifications

• 2 or more years of proven experience in data analysis for digital products or equivalent.
• Knowledge of and familiarity with digital games such as Magic: The Gathering Arena.
• Proficiency in SQL and data visualisation tools such as Tableau.
• Experience with analytics programming languages such as R or Python.
• Strong ability to communicate analysis findings and tell a story with data to varied audiences.

A key member of the data science consulting team, the Senior Analytics Consultant leads development of advanced data mining solutions using CRISP-DM methodologies, machine learning, and AI techniques applied to workforce and HR data domains. Collaborating across cross-functional teams including statisticians, IT developers, and subject matter experts, this role enables senior leadership and HR stakeholders to make informed human capital decisions through reliable, clearly communicated analytical outputs.

Scope of Work

• Develop advanced analytics and innovative data mining solutions utilising CRISP-DM methodologies and incorporating machine learning, robotics process automation, artificial intelligence, and other advanced techniques.
• Develop and maintain structures that synthesise data aggregated from many sources for data mining and predictive and forecasting models.
• Create and communicate analysis findings in consumable formats for stakeholders such as data visualisations and data stories.
• Analyse, evaluate, and integrate data mining solutions to complex and diverse data sets.
• Work collaboratively with cross-functional teams to develop key questions, create and test prototypes, share findings, and iterate to achieve valid and useful models.
• Develop communication materials including reports, technical presentations to senior management and stakeholders, emails, and web content.
• Provide support to the primary point of contact on data mining projects and advise all stakeholders on advanced data mining and technical matters.
• Perform complex data mining tasks independently involving proven principles, practices, and techniques requiring knowledge of workforce and related data domains.

Minimum Qualifications

• Bachelor's degree in a related field such as IO psychology, HRM, behavioural science, or economics.
• Minimum 3 years of experience in Power BI developing data visualisation tools that highlight the story in the data.
• Minimum 3 years of experience working directly with clients gathering input, stakeholder requirements, and communication needs.
• 2 years of experience collecting quantitative and qualitative data from internal or external sources and extracting datasets for modelling.
• 2 years of experience with data cleaning, normalisation, reduction, aggregation, and sampling techniques.
• Experience deploying models including deployment plans, monitoring, maintenance, and documentation preferred.
• Excellent verbal and written communication skills including presentation skills, with a creative problem-solving ability and a consultancy mindset.

Sustained delivery of marketing and customer analytics projects depends on the Senior Analytics Consultant, who manages day-to-day project activities, builds statistically sound models, and guides junior team members through variable selection and model finalisation. Based within an international analytics practice serving CPG, Retail, CRM, and e-commerce sectors, this role translates quantitative findings into clear business-language implications that directly support client decision-making.

Accountabilities

• Manage day-to-day activities of marketing and customer analytics projects, including email correspondence, client calls, and internal team coordination.
• Clean, manipulate, and harmonise data for modelling, and help with formulating metadata.
• Build models that are statistically sound and make business sense, then translate results into business language for the client.
• Build accurate simulation and optimisation tools for client use and arrive at implications for client business.
• Guide junior team members in variable selection and model finalisation.
• Seek clarifications on data from clients and manage expectations throughout delivery.

Background and Experience

• University degree in economics, econometrics, marketing, or finance.
• 4 or more years of proven marketing and e-commerce analytics experience, with relevant work in CPG, Retail, CRM, or e-commerce.
• Experience delivering projects involving Marketing Mix Analysis, time series forecasting, and SEM.
• Sound business knowledge of one or more relevant sectors including CPG, Retail, CRM, or e-commerce.
• Hands-on modelling experience using R, SAS, SQL, and other analytical tools, with knowledge of econometrics and preferably Python or R.
• Fluency in English at C1 or C2 level to work in an international environment.
• Strong sense of ownership for project delivery, good team player skills, and the ability to translate business problems into analytical frameworks.

As the Senior Analytics Consultant, this role delivers data-driven insights that create and validate the analytical story behind deal targets, executing ETL processes, building complex analyses in Alteryx, R, or Python, and producing visualisations in Power BI or Tableau. The deals practice relies on this work to unlock value potential after transactions and to support commercial activities and junior colleagues across client-facing engagements.

Key Deliverables

• Harness the power of data and analytics to create or validate a compelling story around a target business and unlock value potential after a deal.
• Liaise with clients, advisors, and other teams to provide robust, data-driven insights into business and value drivers.
• Extract, transform, and load client and alternative data using a variety of tools, and automate manual processes to improve efficiency.
• Build complex analyses using tools such as Alteryx, R, or Python, and create insightful visualisations using Power BI or Tableau.
• Steer and support junior colleagues in their daily work and contribute to commercial activities.
• Explore and build new solutions and ideas for advanced analysis, acting as a digital game changer within the deals practice.

Professional Experience

• Degree in a technology-related program, mathematics, statistics, civil engineering, or business engineering.
• At least 2 years of experience as a data analyst, data scientist, data engineer, or BI consultant in a similar consulting environment.
• Understanding of basic financial, accounting, and commercial principles.
• Analytical mindset with strong business sense.
• Experience working with a range of ETL tools such as Alteryx, predictive tools such as R or Python, and visualisation tools such as Tableau or Power BI.
• Fluency in English, with Dutch and/or French considered an asset.
• Strong communication skills with the ability to engage different audiences on complex analyses efficiently and effectively.