Customer Data Analytics Managing Consultant Job at frog (London)

Managing Consultant - Data Science (Customer Data)

Join our frog data team and help shape the future of data and AI consulting. We ...

Location

United Kingdom , London

Salary:

Not provided

frog

Expiration Date

Until further notice

Requirements

Expert in building and evaluating Generative AI solutions and Large Language Models (LLMs) for various use cases
Experience in developing and implementing machine learning models, including predictive, forecasting, classification, and deep learning models
Hands-on experience in customer behaviour analytics, marketing, commercial, web, or product analytics with core focus in customer experience
Experience in working with various data sets, including transactional/EPOS, digital, social and loyalty
Skilled in using programming languages such as Python
Knowledge of cloud platforms and tools for data science and machine learning
Utilise visualisation tools such as Power BI or Tableau to present data insights effectively
Experience leading cross-functional teams to understand business challenges and create valuables products/solutions, including planning, execution, and successful delivery of AI/ML POCs, MVPs and production grade solutions
Commercial experience including responding to RFP/RFIs, drafting SOWs, costing up engagements and client negotiation
Experience building strong relationships with senior client stakeholders to identify and execute against new sales opportunities

What we offer

Positive work-life balance
Hybrid working
Flexible working arrangements
Employee wellbeing support
Trained ‘Mental Health Champions’
Access to wellbeing apps such as Thrive and Peppy
Remuneration package which includes flexible benefits options
Variable element dependent grade and on company and personal performance

Data & Analytics Managing Consultant

Location

United States , Plano

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

8+ years of hands-on experience with various database technologies
6+ years of experience with Cloud-based systems and Enterprise Data Architecture, driving end-to end technology solutions
Ability to travel at least 25%

Job Responsibility

Develop and articulate long-term strategic goals for data architecture vision and establish data standards for enterprise systems
Utilize various cloud technologies, including Azure, AWS, GCP, and data platforms like Databricks and Snowflake
Conceptualize and create an end-to-end vision outlining the seamless flow of data through successive stages
Institute processes for governing the identification, collection, and utilization of corporate metadata, ensuring accuracy and validity
Implement methods and procedures for tracking data quality, completeness, redundancy, compliance, and continuous improvement
Evaluate and determine governance, stewardship, and frameworks for effective data management across the enterprise
Develop comprehensive strategies and plans for data capacity planning, data security, life cycle data management, scalability, backup, disaster recovery, business continuity, and archiving
Identify potential areas for policy and procedure enhancements, initiating changes where required for optimal data management
Formulate and maintain data models and establish policies and procedures for functional design
Offer technical recommendations to senior managers and technical staff in the development and implementation of databases and documentation

Fulltime

Data & Analytics Ld. Managing Consultant

Develop and articulate long-term strategic goals for data architecture vision an...

Location

United States , Plano

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

8+ years of hands-on experience with various database technologies
6+ years of experience with Cloud-based systems and Enterprise Data Architecture, driving end-to end technology solutions
Ability to travel at least 25%

Job Responsibility

Develop and articulate long-term strategic goals for data architecture vision and establish data standards for enterprise systems
Utilize various cloud technologies, including Azure, AWS, GCP, and data platforms like Databricks and Snowflake
Conceptualize and create an end-to-end vision outlining the seamless flow of data through successive stages
Institute processes for governing the identification, collection, and utilization of corporate metadata, ensuring accuracy and validity
Implement methods and procedures for tracking data quality, completeness, redundancy, compliance, and continuous improvement
Evaluate and determine governance, stewardship, and frameworks for effective data management across the enterprise
Develop comprehensive strategies and plans for data capacity planning, data security, life cycle data management, scalability, backup, disaster recovery, business continuity, and archiving
Identify potential areas for policy and procedure enhancements, initiating changes where required for optimal data management
Formulate and maintain data models and establish policies and procedures for functional design
Offer technical recommendations to senior managers and technical staff in the development and implementation of databases and documentation

Fulltime

Senior Consultant - Data Science (Customer Data)

Join our frog data team and help shape the future of data and AI consulting. We ...

Location

United Kingdom , London

Salary:

Not provided

frog

Expiration Date

Until further notice

Requirements

Expert in building and evaluating Generative AI solutions and Large Language Models (LLMs) for various use cases
Experience in developing and implementing machine learning models, including predictive, forecasting, classification, and deep learning models
Hands-on experience in customer behaviour analytics, marketing, commercial, web, or product analytics with core focus in customer experience
Experience in working with various data sets, including transactional/EPOS, digital, social and loyalty
Proven experience owning workstreams including planning, execution, and successful delivery of insights or AI/ML POCs, MVPs and production grade solutions
Skilled in using programming languages such as Python
Knowledge of cloud platforms and tools for data science and machine learning
Utilise visualisation tools such as Power BI or Tableau to present data insights effectively
Collaborate with cross-functional teams to understand business challenges and create valuables products/solutions
People management skills, including mentoring, guiding, and developing junior team members

What we offer

Flexible working arrangements
Positive work-life balance
Hybrid working
Mental health support via trained 'Mental Health Champions'
Access to wellbeing apps such as Thrive and Peppy
Flexible benefits options
Variable compensation dependent on grade and on company and personal performance

Lead Consultant – Data & Analytics Solutions

The Lead Consultant of Data & Analytics Solutions is a project team lead and cli...

Location

United States , Greater Boston or New York Metro Areas

Salary:

Not provided

CTI Data

Expiration Date

Until further notice

Requirements

Microsoft Azure and other cloud environments
Broad experience in data warehouse and business intelligence tools (BI, ETL, Data Quality and RDBMS tools/platforms)
Excellent understanding of data warehouses / data-marts and dimensional data models
Depth in at least one business domain (supply-chain, CRM, etc.)
Mastery of data and advanced analytics solutions development methodologies and project management
Bachelor or Master’s Degree in: Data Science, Computer Science, Information Technology, Information Systems, or similar discipline
A minimum of 6 years of experience working with Business Intelligence/Data Analytics
Flexibility to travel locally and within the Northeast as business dictates
Strong communication skills

Job Responsibility

Lead the data and requirements analysis, design, implementation and planning process. Perform hands-on tasks as required, typically in areas of high complexity. Provide technical architecture guidance to CTI, including contractors and customer project staff
Be the project focal point with client management and ensure successful delivery with high customer satisfaction
Develop an in-depth understanding of the client’s data, systems, business, and teams/people to frame the end-to-end project technical approach and plan
Onboard the team and oversee all work, directing CTI and client staff as appropriate. Ensure work meets technical, financial, and schedule goals
Perform hands-on design and implementation in crucial areas of the project
Execute time/billing processes and customer approval/financial processes

What we offer

Remote/hybrid work environment
25+ years of proven success within the IT systems and consulting industry
Competitive compensation packages that reward high performance
Exciting career growth paths and supportive culture that facilitates continuous learning
Collaborative team-based environment
Comprehensive benefit package including medical, dental, Flexible Spending, 401(k) with match
Company paid Life insurance and Long-Term Disability
Generous PTO packages that reflect the importance of work/life balance

Director, Data Analytics & Customer Insights

The Director of Data Analytics and Customer Insights will lead the development o...

Location

United States , Washington, DC

Salary:

163000.00 - 211140.00 USD / Year

AMTRAK

Expiration Date

Until further notice

Requirements

Bachelor’s degree in Data Science, Statistics, Economics, Marketing, or a related field
Master’s preferred. OR equivalent combination of training, education & relevant experience
Strong command of SQL, Python/R, and data visualization tools (e.g., Tableau, Power BI)
Experience with customer segmentation, regression analysis, forecasting, and LTV modeling
Demonstrated ability to influence business outcomes through data storytelling
Strong project management skills and the ability to prioritize across multiple stakeholders
Excellent analytical skills
Strong written and verbal communication skills
Strong supervisory, management and organizational skills
Strong, broad-based PC skills (Microsoft Word, Powerpoint, and Microsoft Excel)

Job Responsibility

Develop and lead the customer analytics roadmap aligned to loyalty, marketing, operations, and experience objectives
Oversee the design and implementation of dashboards, segmentation models, predictive analytics, and lifetime value frameworks
Deliver regular reporting on customer performance (e.g., acquisition, retention, frequency, spend, satisfaction) to stakeholders across the enterprise
Translate complex data into clear, compelling narratives that inform senior leaders and influence business strategies
Identify key drivers of customer behavior and recommend actions to improve satisfaction, loyalty, and commercial outcomes
Partner with the Voice of Customer and Market Research teams to connect structured and unstructured insights
Advance customer journey analytics and personalization strategies in collaboration with the Commercial team and strategic priorities
Build models that support next-best action, customer propensity, and channel optimization
Enhance measurement frameworks for marketing and lifecycle campaigns
Partner across the Commercial organization to prioritize analytics needs and integrate data into decision-making

What we offer

health, dental, and vision plans
health savings accounts
wellness programs
flexible spending accounts
401K retirement plan with employer match
life insurance
short and long term disability insurance
paid time off
back-up care
adoption assistance

Fulltime

Data Analytics Director - Customer Success

Join the Customer Experience & Success (CE&S) organization, whose mission is to ...

Location

United States , Multiple Locations

Salary:

130900.00 - 251900.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Computer Science, Information Technology, Engineering, Business, Liberal Arts, or related field AND 8+ years experience in cloud/infrastructure technologies, information technology (IT) consulting/support, systems administration, network operations, software development/support, technology solutions, practice development, architecture, and/or consulting OR equivalent experience
3+ years people management experience, including managing consultant practice managers, technical sales managers, and/or technical architect managers
Bachelor's Degree in Computer Science, Information Technology, Engineering, Business, Liberal Arts, or related field AND 12+ years experience in cloud/infrastructure technologies, information technology (IT) consulting/support, systems administration, network operations, software development/support, technology solutions, practice development, architecture, and/or consulting OR Master's Degree in Computer Science, Information Technology, Engineering, Business, Liberal Arts, or related field AND 8+ years experience in cloud/infrastructure technologies, technology solutions, practice development, architecture, and/or consulting OR equivalent experience
6+ years experience working in a customer-facing role (e.g., internal and/or external)
6+ years experience leading technical projects, teams, or functions
Technical Certification in Cloud (e.g., Azure, Amazon Web Services, Google, security certifications)
5+ years people management experience, including managing consultant practice managers, technical sales managers, and/or technical architect managers

Job Responsibility

Lead a team of Technical Architects and Program Managers to enable Field Customer Success teams and Partners in delivering customer engagements for Analytics and Database solutions on Azure
Provide thought leadership and subject matter expertise in Analytics (Fabric, Databricks, Real-time Intelligence, PowerBI, Data Warehousing, Lakehouse, Spark) and Database platforms (Azure SQL Server, CosmosDB, PostgreSQL, MySQL, MariaDB)
Develop high-quality, repeatable IP assets for both Analytics and Database workloads, ensuring adoption and execution by field teams
Empower your team to unblock and accelerate customer engagements, resolve issues in collaboration with product teams and support engineers, and guide architectural design for scalable solutions
Engage with Worldwide Learning SMEs to develop and drive adoption of skilling plans for Cloud Solution Architects, growing expertise in Analytics and Database platforms
Serve as an executive sponsor for strategic customers, accelerating digital and AI transformation through innovative solutions leveraging Azure Analytics and Database services
Build and grow teams through talent management, diversity and inclusion, coaching, and career development. Foster a culture of customer-centricity, collaboration, and technical intensity
Lead the team to achieve positive Customer Satisfaction results, coaching them to become trusted advisors and enabling defined Customer Success Plan outcomes
Gather Voice of the Customer and Field, leveraging insights to influence product roadmaps and drive continuous improvement and innovation
Foster a continuous self-learning culture, model impactful community engagement, and coach inclusivity

Fulltime

New

Senior Analytics Consultant

Location

United States , Charlotte

Salary:

Not provided

Wells Fargo

Expiration Date

June 22, 2026

Requirements

4+ years of Analytics experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
Proven ability to develop, validate, and maintain forecasting and predictive models that support operational planning and decisioning (e.g., inventory projections, roll-rate/flow models, recovery forecasting, capacity/staffing planning, and scenario analysis)
Strong hands-on experience with Python-based analytics and automation workflows working with large, complex datasets
advanced SQL proficiency required (SAS, Teradata, Snowflake)
Demonstrated experience performing data discovery, source-to-target analysis, and building reusable data transformations (e.g., standardized metrics, dimensional models, or curated analytical datasets) with strong attention to data quality and lineage
Familiarity with machine learning, NLP, and applied AI techniques, and the judgment to apply them selectively to collections operations problems (e.g., text mining of agent notes, classification/prioritization, segmentation, and anomaly detection)
Strong statistical foundation and practical experience with disciplined evaluation (back-testing, holdout validation, stability and sensitivity testing, and uncertainty quantification), with a focus on producing reliable and explainable outputs for business use
Strong communication and consulting skills, with the ability to translate analytical results into clear recommendations, trade-offs, and measurable business outcomes for both technical and non-technical stakeholders
Preferred: domain knowledge in unsecured lending collections and recovery (delinquency management, treatment strategies, customer contact operations, loss mitigation, and operational KPIs)
Ability to travel up to 10% of the time

Job Responsibility

Lead hands-on data discovery and domain data capture across unsecured lending collections operations, partnering with business and technology teams to identify source systems, define critical data elements, and establish fit-for-purpose datasets
Design, develop, and enhance forecast models that support staffing/capacity planning, treatment strategy evaluation, and inventory projection
quantify uncertainty and scenario impacts to inform planning decisions
Explore, profile, and analyze large-scale collections and recovery data (e.g., accounts, payment behavior, delinquency/roll rates, treatment strategies, contact outcomes, operational capacity, and agent performance signals) to surface actionable insights and decision opportunities
Own the end-to-end analytics lifecycle for prioritized use cases—including problem framing, requirements definition, data preparation, and data analysis output
Translate collections and recovery business logic (policies, treatment paths, segmentation, and operational constraints) into technical specifications and scalable implementations (SQL/Python workflows, reusable data transformations, and production-ready metrics)
Build and automate risk identification signals for operational decisioning (e.g., early-warning indicators, drift detection, emerging loss pockets, operational bottlenecks), and integrate outputs into business routines and dashboards
Leverage machine learning, NLP, and AI techniques where appropriate to enable scalable automation—such as text mining of notes, disposition narratives, or correspondence
classification and prioritization
clustering and segmentation

Fulltime

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Customer Data Analytics Managing Consultant

Job Description

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