Analytics and Feedback Manager Job at Abri (Eastleigh)

Senior Analytics Manager - Payments and Identity

As Senior Analytics Manager, Payments & Identity, you will be the senior analyti...

Location

United States; Canada; Mexico , San Francisco; Atlanta; Austin; Boston; Chicago; Dallas; Denver; Houston; Jacksonville; Los Angeles; Miami; New York City; Phoenix; Portland; Sacramento; Salt Lake City; San Diego; Seattle; Washington, D.C.; Ottawa; Toronto; Vancouver; Mexico City

Salary:

121000.00 - 228500.00 USD / Year

Scribd

Expiration Date

Until further notice

Requirements

7+ years of experience in analytics (for example product, payments, or platform analytics), ideally in a subscription or consumer environment, with a track record of leading high-impact work end to end
Deep, hands-on domain expertise in payments and identity, including authorization and settlement, retries and dunning, decline reasons, fraud and chargebacks, identity and authentication flows, and evaluating payment service providers on both performance and cost
Experience leading or managing analysts, including setting direction, reviewing complex work, and developing others
Strong technical toolkit: advanced SQL
experience with a programming language such as Python or R
and comfort working with modern data warehouses and observability tools (for example Databricks and Datadog)
Deep experience with BI tools such as Looker, including designing and maintaining performant, cost-conscious dashboards that teams can safely use for self-serve decision-making
Experience with payments and subscription analytics (for example authorization and settlement rates, bill-through, recapture, passive churn, payment service provider volume share, LTV, unit economics) and lifecycle or cohort analysis
Experience with experimentation and event instrumentation for billing, payments, or identity flows, including defining success metrics, working with experimentation platforms such as StatSig, and producing clear experiment readouts and narratives for senior audiences
Excellent communication and stakeholder management skills, with a track record of translating complex analyses into clear, concise stories and influencing senior partners across product, engineering, finance, and operations

Job Responsibility

Lead end-to-end analytics for the payments lifecycle, including authorization and settlement, retries and dunning, recapture, passive churn, and bill-through, and tie these metrics directly to subscriber, revenue, and unit economics outcomes
Develop and own the core Payments KPI framework (for example Payment Success Rate, authorization and settlement rates, payment service provider volume share, cost per transaction, cost of ownership, fraud and chargeback guardrails) and use it to guide strategy and vendor decisions
Lead analytics for Identity flows, including account creation, authentication, login and signup friction, error and lockout rates, dormant account behavior, and identity risk and safety metrics, and build the initial analytics foundation and metrics framework for the Identity squad
Build and maintain reliable dashboards and reporting that provide a holistic view of Payments & Identity health, designed with performance, cost, and self-serve use in mind, primarily using Looker and Databricks
Partner with Product, Engineering, Finance, and Operations on payments & identity strategy, routing and configuration changes, fraud controls, billing changes, and other key initiatives, quantifying tradeoffs across revenue, cost, risk, and customer experience
Drive instrumentation, observability, and data quality for Payments and Identity by defining event and data requirements, partnering with engineering on tracking and monitoring, and putting in place checks and alerts for key flows and metrics
Collaborate with Data Platform and Data Engineering on data models that make Payments and Identity data easier to query, debug, and monitor, and that support fast experimentation and operational reporting
Manage and mentor analysts (starting with a payments-focused analyst), providing coaching, feedback, and review, and helping define best practices for Payments & Identity analytics

What we offer

Healthcare Insurance Coverage (Medical/Dental/Vision): 100% paid for employees
12 weeks paid parental leave
Short-term/long-term disability plans
401k/RSP matching
Onboarding stipend for home office peripherals + accessories
Learning & Development allowance
Learning & Development programs
Quarterly stipend for Wellness, WiFi, etc.
Mental Health support & resources
Free subscription to the Scribd Inc. suite of products

Fulltime

Manager of Pharmacy Analytics and System Support

The Manager of Pharmacy Analytics and System Support is responsible for leading ...

Location

United States , Boston

Salary:

133800.00 - 151200.00 USD / Year

Dana-Farber Cancer Institute

Expiration Date

Until further notice

Requirements

Bachelor’s degree Data Science, Pharmacy, Information Technology, Healthcare Administration, or a related field
Minimum of 5 years of experience in data analytics, IT support, or a related field, with at least 2 years in a leadership role, preferably in a pharmacy or healthcare setting
Strong leadership and team management skills, with experience supervising technical staff in data analytics and IT support roles, preferably in a healthcare or pharmacy setting
Proficiency in data analytics tools and platforms (e.g., SQL, Python, R, Tableau, Power BI) and a solid understanding of data visualization and reporting best practices
Familiarity with pharmacy systems and technologies, such as electronic health records (EHR), pharmacy management systems, automated dispensing systems, and inventory management tools
Knowledge of pharmacy operations, including medication dispensing workflows, inventory management, and regulatory compliance requirements
Excellent problem-solving and critical-thinking skills, with the ability to analyze complex issues and develop effective solutions
Strong communication and interpersonal skills, with the ability to convey technical concepts to non-technical pharmacy staff and leadership
Proven ability to manage multiple priorities, meet deadlines, and adapt to changing business needs in a fast-paced healthcare environment
Knowledge of data governance, data security, and compliance standards, particularly as they relate to HIPAA and patient privacy

Job Responsibility

Lead, mentor, and manage a team of pharmacy data analysts and first-line systems support staff, fostering a culture of collaboration, accountability, and continuous improvement
Oversee the development and delivery of pharmacy-specific data analytics projects, including medication utilization trends, inventory management, patient safety metrics, and operational efficiency reports
Manage the day-to-day operations of the first-line systems support team, ensuring timely resolution of technical issues related to pharmacy systems, such as electronic health records (EHR), pharmacy management systems, and automated dispensing systems
Collaborate with pharmacy leadership and clinical staff to identify data and technology needs, translating them into actionable plans for the team
Develop and implement processes, tools, and best practices to improve the efficiency and effectiveness of both data analytics and systems support functions within the pharmacy department
Ensure compliance with pharmacy-specific regulatory requirements, including HIPAA, DEA, and state board of pharmacy regulations, in all data and system-related activities
Prepare and present reports on team performance, project progress, and key insights to pharmacy leadership and other stakeholders
Act as a liaison between the pharmacy department and IT teams to ensure seamless integration and functionality of pharmacy systems
Hires, develops, and manages staff to achieve organizational goals
Sets clear expectations, delivers feedback, and monitors performance for quality, efficiency, and compliance with policies and procedures

Fulltime

Learning and Development Manager/ Assistant Manager

Location

Salary:

Not provided

Cyfuture

Expiration Date

Until further notice

Requirements

PG / MBA with minimum one year of relevant experience into Learning & Development and Campus Onboarding, Campus Connect for a Technology / IT / ITES/ Management Consulting Organization
Extensive experience in designing and delivering Corporate training programs
Knowledge of effective learning and development methods
Proficient in MS Office and Learning Management Systems (LMS)
Strong stakeholder management skills
Strong organizational, critical thinking and communications skills
Attention to detail and good judgement
Must be Positive, Dynamic and Energetic

Job Responsibility

Handle end to end Campus Onboarding Program
Collaborate with Senior Management, Leadership & HR to assess training needs across various departments and roles
Identify and analyse organizational needs through assessments, performance evaluations, and feedback from various sources
Use surveys, interviews, and job analysis to identify skill gaps and areas for improvement
Design, curate, and implement comprehensive training programs, including workshops and seminars both for new employees and ongoing skill development, that align with the organization's strategic goals
Conducting training sessions and workshops for employees, either in-person or through virtual means, ensuring that the content is engaging and informative
Monitor and Evaluate the effectiveness of training programs and modify them through various assessment methods, making necessary adjustments for continuous improvement
Assess the success of development plans and help employees make the most of learning opportunities
Establish process and procedures to enhance the learning ecosystem and learner experience
Evaluate and measure the effectiveness of learning journeys on an ongoing basis and make necessary fine tuning to address business needs

New

Data Engineer – Cloud and Analytics Platforms

As a Data Engineer, you will be the foundational backbone of our data analytics ...

Location

Canada , Calgary

Salary:

Not provided

Randstad

Expiration Date

August 02, 2026

Requirements

Minimum of 3+ years in a dedicated Data Engineering role or a Software Developer role with a strong focus on data-backend development and complex transformations
Excellent, production-level knowledge of Python
Strong knowledge of SQL paired with a deep understanding of performance analysis and query optimization techniques
Rigid grasp of computer science fundamentals, including modularity, abstraction, data structures, and algorithms
Solid understanding of core data modeling concepts (normalized vs. denormalized data architectures, conceptual/logical/physical models, and star/snowflake schemas)
Proven experience building automated, production-grade ETL/ELT pipelines
Solid project experience leveraging various data storage technologies (including RDBMS, NoSQL, and Graph Databases)
Direct experience with cloud infrastructure provisioning and deployment automation on AWS

Job Responsibility

Build, improve, and maintain data infrastructure for ingesting, storing, and transforming data across advanced analytical workflows
Implement robust, scalable data pipelines supporting both stream and batch processing
Perform end-to-end ETL/ELT processes to extract and load data from a wide variety of structured and unstructured sources
Partner with enterprise architects and Information Services (IS) teams to design and evolve the overarching data platform environment in AWS
Write complex, automated SQL queries to manipulate data extracts and manage large-scale data flows
Perform continuous query optimization, performance analysis, and database tuning to minimize processing latency and cost
Assist with logical and physical data modeling, implementing optimized data structures (e.g., star and snowflake schemas)
Automate cloud deployments, data flows, and automated data quality validation checks
Collaborate closely with Data Scientists and ML developers to build, test, and operationalize automated ML pipelines
Design rigorous testing processes, formulating and executing comprehensive test cases for data validation

Fulltime

Fraud Mis And Analytics Analyst For Commercial Cards

The Fraud MIS and Analytics Analyst is responsible for executing core fraud anal...

Location

Malaysia , Kuala Lumpur

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

Bachelor's degree in Data Science, Statistics, Finance, Computer Science, or a related field
Fresh Graduates up to 2 years of experience in fraud analytics, fraud risk operations, or MIS reporting or similar within banking, fintech, or payment services
Strong experience in fraud analytics or fraud risk management
Ability to review, validate, and interpret complex analytical outputs
Strong hands-on skills in SQL, Excel, and at least one analytics or scripting tool (e.g., Python, R, SAS)
Familiarity with BI tools such as Tableau, PowerBI, or similar is preferred
Experience with fraud detection platforms or rule engines

Job Responsibility

Analyze transactional and behavioral data to identify potential fraud patterns and anomalies
Support the generation of insights used in fraud detection and prevention
Assist in identifying emerging trends and risks
Perform assigned analytical tasks in accordance with defined procedures and standards
Ensure accuracy and completeness of outputs across all activities
Maintain consistency in execution of analytical workflows
Support preparation and analysis of datasets used in fraud analytics
Assist in maintaining data integrity and accuracy
Contribute to reporting and documentation requirements
Follow established operational processes and maintain required documentation

Fulltime

Manager, Analytics - Financial Operations

Location

United States , San Francisco

Salary:

185000.00 - 205500.00 USD / Year

Uber

Expiration Date

Until further notice

Requirements

Experience managing global teams
Project Management and Change Management
Proficiency in Tableau, Jira, Asana, Excel, G-Suite
Troubleshooting systems
6+ years of work experience in finance analytics, data analytics, or within a similar field
Experience with SQL
Bachelor’s Degree

Job Responsibility

Manage a team of developer analysts in the creation and enhancement of insightful and actionable analytics
Own the full lifecycle of operational metrics—from KPI design to dashboard deployment and stakeholder adoption to design metrics that drive accountability, surface inefficiencies, and guide automation
Utilize predictive modeling techniques to support scenario analysis, helping the FinOps team to understand potential financial outcomes based on various business strategies
Perform ad hoc analyses and create reports as requested by leadership to support strategic initiatives and decision-making
Drive automation efforts for reporting, leveraging AI and other data science tools to increase efficiency and accuracy
Serve as the primary link between our business leaders and the technology teams, ensuring our technical resources are always focused on the projects with the highest financial return
Oversee the end-to-end project lifecycle for our data initiatives, from gathering business requirements and vetting return on investment (ROI) to ensuring our technology partners deliver high-quality solutions on time
Translate business needs into technical reality and ensure any system issues are resolved quickly to minimize impact on the business
Manage the security of our sensitive financial information, ensuring that travel and third-party spending details are only visible to appropriate users
Lead a global team of analysts through structured weekly coaching and quarterly performance reviews, focusing on building the technical and strategic skills to be strategic partners who help their business leads make better decisions

What we offer

Bonus program
Equity award
401(k) plan

Fulltime

Sales Insights Analytics Manager

Our sellers are key to how customers and partners understand Microsoft’s product...

Location

United States , Multiple Locations

Salary:

106400.00 - 203600.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Master's Degree in Mathematics, Analytics, Data Science, Engineering, Computer Science, Business, Economics or related field AND 2+ years experience in data analysis and reporting, data science, business intelligence, or business and financial analysis OR Bachelor's Degree in Statistics, Mathematics, Analytics, Data Science, Engineering, Computer Science, Business, Economics or related field AND 4+ years experience in data analysis and reporting, data science, business intelligence, or business and financial analysis OR equivalent experience

Job Responsibility

Applies deep knowledge of the business, data landscape, tools, technologies, and data lineage across multiple domains
Connects business topics to relevant data sources and external trends, anticipating data and business requirements
Proactively frames business questions into analytical solutions and identifies opportunities to enhance or automate data infrastructure and insights
Builds strong cross‑functional connections to enable effective data sourcing, integration, and evaluation of business questions
Stays current on analytics tools, best practices, and regulatory changes, while coaching others to broaden business and data understanding
Conduct scenario modeling and effective reviews of compensation plans
Evaluate model performance and ensure alignment with business objectives
Interpret and communicate insights clearly to technical and non-technical stakeholders, linking analytical findings to business objectives and recommending data-driven actions
Act as a trusted advisor to sales and finance leaders, providing insights that influence compensation strategy and seller behavior
Collaborate cross-functionally with internal and external stakeholders to define project roadmaps, evaluate model performance, and ensure continuous improvement through feedback loops

What we offer

Eligible for benefits and other compensation

Fulltime

Senior Product Manager, Analytics

The Senior Product Manager, Analytics leads the strategy and delivery of data-dr...

Location

Netherlands; Germany; United Kingdom , Amsterdam; Berlin; London

Salary:

Not provided

Awin Global

Expiration Date

Until further notice

Requirements

Extensive Product Management experience delivering analytics or data products
Proven ownership of end-to-end product lifecycle with measurable business impact
Strong collaboration with data engineering, BI, and data science teams to build scalable insights solutions
Ability to translate complex data needs into clear strategy, roadmaps, and prioritised backlogs
Innovation: Foster a culture of innovation within the product management team
Strategic Leadership: Provide strategic leadership aligning with the organization's vision
Cross-Functional Collaboration: Facilitate collaboration between different departments and teams
Stakeholder Management: Manage relationships with key stakeholders at a senior level

Job Responsibility

Define and execute the analytics product strategy at Awin, aligning data capabilities with business goals across advertisers, publishers, and internal teams
Own the end-to-end lifecycle of analytics products, from discovery and roadmap prioritization to delivery, adoption, and continuous optimisation
Partner with data engineering, BI, and commercial stakeholders to deliver scalable reporting, measurement, and insights that drive marketplace growth and performance
Translate complex data needs into clear product requirements, ensuring high-quality data models, governance, and user-centric analytics experiences
Drive adoption and impact through stakeholder engagement, performance tracking, and iterative improvement based on user feedback and data insights

What we offer

Flexi-Week and Work-Life Balance: We prioritise your mental health and wellbeing, offering you a flexible four-day Flexi-Week at full pay and with no reduction to your annual holiday allowance. We also offer a variety of different paid special leaves
Flexi-Office: We offer an international culture and flexibility through our Flexi-Office and hybrid/remote work possibilities to work across Awin regions
Health & Well Being: With our support and access to various initiatives and sports offers, you can devote yourself to your mental and physical well-being
Development: We’ve built our extensive training suite Awin Academy to cover a wide range of skills that nurture you professionally and personally, with trainings conveniently packaged together to support your overall development
Remote Working Allowance: You will receive a monthly allowance to cover a part of your running costs. In addition, we will support you in setting up your remote workspace appropriately
Appreciation: Thank and reward colleagues by sending them a voucher through our peer-to-peer program

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Analytics and Feedback Manager

Job Description

Job Responsibility

Requirements

What we offer

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