Role Description Under the guidance of the Manager of Administration and Data Integrity, the Production Data Admin is responsible for entering and validating timecards and orders to ensure accurate timecard submissions for all assigned Technicians, thus ensuring accurate pay for technicians. The Production Data Admin will be responsible for document control, data corrections, and validation of completed job orders as reported in both AFL and client systems. In addition, the incumbent may be required to support Field Technicians with expense management. - Ensure timesheets for assigned Technicians and Manager approvals are submitted on time and if required, follow-up to ensure submission prior to deadline - Identify missing entries and escalate to Manager level to ensure completion - Verify Technician job order entries in AFL and client systems to ensure alignment - Validate Technicians completed tasks and complete accurate data entry into relevant systems or spreadsheets - Correct Technician(s) time entry issues prior to uploading into corporate financial system - Advise Technician(s) and other relevant stakeholders of discrepancies and errors to ensure accurate records - Maintain and update master list of Technicians and Associated Managers to ensure up-to-date reporting lines - Complete various reports as required - Address Technician pay issues and re-open orders if required to process necessary corrections - Manage daily emails and calls from Technicians and other departments and provide answers and support accordingly - Participate in team meetings to review projects, processes and status updates - Provide back-up support for team members, as required - Provide support to field employees on time entry, expense procedures and customer timesheets - Provide onboarding support and training for new hires related to business unit procedures - Complete ad hoc administrative projects as requested - Enhance Organization reputation by accepting ownership for accomplishing requests and exploring opportunities to add value to job accomplishments - Adhere to and promote the environmental, health & safety policies of AFL - Perform other duties as requested, directed or assigned Qualifications - 1+ year experience with supporting multiple managers preferred - Superior customer service skill - Previous experience with programs/software related to invoicing, production accounting, transactional reporting and payroll/time tracking - Working knowledge of Microsoft Office Suite, including Excel Requirements - Flexible – open to change & new information and rapidly adapts to changing conditions or unexpected obstacles - Detail oriented – excellent attention to detail with the ability to follow through on assigned tasks - Data entry accuracy – ensures quality and precision of data entry on a consistent basis - Independent - ability to work well under limited supervision - Analytical Thinking/Problem Solving - capable of complex reasoning analysis - Results focused – driven to achieve - Interpersonal skills – able to collaborate on projects, maintain effective relationships, and communicate clearly at all levels of the business - Adaptability - capable of working in a fast-paced environment, adapt to various situations, and prioritize multiple work assignments simultaneously - Team Player skills - Possess strong commitment to team environment dynamics with the ability to contribute expertise and follow leadership directives at appropriate times Benefits - Competitive Salary + up to 4% RRSP matching contribution - Paid annual vacation - Access to medical, dental, vision and health and extended health - Access to EFAP (Employee Family Assistance Program) - Annual merit increases - Excellent on the job training and professional development opportunities - A supportive and diverse team environment - Opportunity to work in a dynamic, rapidly growing industry

Role Purpose The Senior Data Analyst is responsible for transforming data into clear insights that drive product, business, and operational decisions. The role bridges data, product, and business by asking the right questions, validating assumptions, and making complex information understandable and actionable. Data Analysts work closely with Product, Engineering, Marketing, and Leadership to ensure decisions are informed by reliable data. This role also includes active and responsible use of AI tools to accelerate analysis, exploration, and communication of insights - while maintaining strong analytical judgment and data integrity. Senior Data Analyst Focus: Analytical leadership and decision influence - Owns analytics for a product area or business domain - Shapes how success is measured and evaluated - Guides stakeholders toward data-informed decisions - Mentors junior and mid-level analysts - Improves analytical practices, tooling, and data literacy - Uses AI strategically to deepen insights and reduce time-to-decision - Ability to independently manage analytical projects end-to-end - Define scope, timelines, and deliverables - Communicate progress and expectations to stakeholders - Balance multiple priorities and requests effectively Typical experience: 5+ years of data analytics experience Core Responsibilities - Analyze product, user, and business data to support decision-making - Define and track key metrics, KPIs, and success indicators - Build and maintain dashboards, reports, and self-service analytics - Partner with Product and Engineering to evaluate experiments and changes - Validate data quality and highlight inconsistencies or risks - Communicate insights clearly to technical and non-technical stakeholders - Use AI tools to speed up analysis, hypothesis exploration, and storytelling Core Data Analytics Expertise Data Analysis & Exploration - Exploratory data analysis (EDA) - Hypothesis-driven analysis - Identifying trends, patterns, and anomalies - Translating vague questions into analytical approaches SQL & Data Access - Strong SQL skills for querying analytical databases - Joining, aggregating, and transforming data - Understanding data freshness, granularity, and limitations Metrics & Measurement - Defining meaningful metrics and KPIs - Funnel, cohort, and retention analysis - Experiment and A/B test analysis - Understanding bias, noise, and statistical significance (practical level) - Event-based / product analytics (user behavior tracking, event design, feature usage analysis) - Revenue, LTV, and unit economics analysis (CAC, payback period, ROI) Visualization & Communication - Building clear dashboards and reports - Data visualization best practices - Presenting insights in a clear, concise narrative - Adapting communication to different audiences

Company Description Wise is a global technology company, building the best way to move and manage the world’s money. Min fees. Max ease. Full speed. Whether people and businesses are sending money to another country, spending abroad, or making and receiving international payments, Wise is on a mission to make their lives easier and save them money. As part of our team, you will be helping us create an entirely new network for the world's money. For everyone, everywhere. More about our mission and what we offer. Job Description THE ROLE We are looking for an experienced detail-oriented Senior Data Science Manager to join our Financial Planning and Analysis (FP&A) team. This role will drive data analytics, build predictive models, and leverage machine learning to support strategic decision-making across Wise. With your team of 6 Data Scientists, you will partner closely with finance, operations, and product teams to uncover insights, forecast trends, and identify areas for operational efficiency and revenue growth. This position offers a unique opportunity to influence business strategy by transforming complex datasets into actionable insights and enabling data-driven decision-making. What you and your team build will have a direct impact on Wise’s mission and millions of our customers worldwide. Here’s how you’ll be contributing: - Technical Leadership & Innovation: Drive the technical vision for the time series forecasting and causal inference-based models and pipelines. Making key decisions on technology adoption and guiding your team through complex technical challenges. You will also shape the research agenda and evaluate emerging AI/ML technologies for strategic adoption, fostering a culture of experimentation and continuous learning - Team Development & Mentorship: Lead, mentor, and grow our talented data scientists, building technical capabilities across the team, fostering career development, and promoting knowledge sharing on cutting-edge technologies and methodologies. - Cross-Functional Collaboration & Customer Impact: Partner strategically with Product, Engineering, and Operations leaders to embed data science effectively into product roadmaps. Strengthening a culture that prioritises tangible customer solutions and measurable impact over isolated experiments. - Delivery Excellence & Operationalisation: Establish and oversee scalable deployment strategies, robust MLOps practices, model monitoring, A/B testing, and performance tracking to ensure production success. Drive process improvements that accelerate iteration speed and delivery quality across all data science projects. - Organisational Impact: Define and enforce technical standards, model governance frameworks, and best practices across all data science projects. Drive process improvements that accelerate iteration speed and delivery quality - Responsible AI Leadership: Champion ethical AI practices across the organization, establishing frameworks for bias mitigation and transparency while guiding the team in responsible AI development Qualifications WHAT YOU’LL BRING - Proven Leadership & Team Development: Experience leading high-performing data science teams, driving the development of production-grade Machine Learning and AI systems at scale, and delivering measurable business outcomes. Demonstrated ability to build, scale, mentor, hire, and grow both individual data scientists and data science leaders. - Deep Technical & AI/ML Expertise: Strong technical foundation with expertise in coding (Python, SQL), advanced modeling (Tree-based, Neural Networks, Deep Learning), GenAI frameworks (LlamaIndex, LangGraph, etc.), and cloud platforms (AWS, GCP, Azure). Proven ability to architect scalable solutions, design comprehensive data strategies, and guide technical decision-making for complex AI/ML challenges and MLOps practices. - Domain Expertise: Experience in Financial Modeling & Forecasting. You have a deep understanding of financial planning processes, budgeting, variance analysis, and building predictive models for revenue, costs, and business performance metrics. Proficiency in time series analysis, econometric modeling, scenario planning, and statistical techniques for financial data analysis, including experience with financial modeling platforms to build robust predictive and prescriptive analytics solutions. - Strategic Communication & Influence: The ability to influence senior leadership, translate complex technical concepts into strategic business language, build consensus across diverse stakeholder groups, and champion responsible AI practices. - Ownership & Pragmatism: Demonstrated ability to proactively identify impactful opportunities, influence business strategy, and drive initiatives to completion. You possess a pragmatic approach, effectively triaging requests and adapting analysis scope to achieve optimal outcomes in a fast-paced environment. NICE TO HAVE BUT NOT ESSENTIAL - Experience in financial services, fintech, or other regulated industries is highly valued, with leadership experience navigating compliance requirements, risk management, and regulatory frameworks - An advanced degree (Masters/PhD) in Computer Science, Data Science, Machine Learning, or related quantitative field preferred Additional Information #LI-CH1 For everyone, everywhere. We're people building money without borders — without judgement or prejudice, too. We believe teams are strongest when they are diverse, equitable and inclusive. We're proud to have a truly international team, and we celebrate our differences. Inclusive teams help us live our values and make sure every Wiser feels respected, empowered to contribute towards our mission and able to progress in their careers. If you want to find out more about what it's like to work at Wise visit Wise.Jobs. Keep up to date with life at Wise by following us on LinkedIn and Instagram.

MCS TMT Leader At Zensar, we’re “experience-led everything”. We are committed to conceptualizing, designing, engineering, marketing, and managing digital solutions and experiences for over 130 leading enterprises. We are a company driven by a bold purpose: Together, we shape experiences for better futures. Whether for our clients, our people, or the world around us, this belief powers everything we do. At the heart of our culture is ONE with Client - a set of four core values that reflect who we are and how we work: One Zensar, Nurturing, Empowering, and Client Focus. Part of the $4.8 billion RPG Group, we’re a community of 10,000+ innovators across 30+ global locations, including Milpitas, Seattle, Princeton, Cape Town, London, Zurich, Singapore, and Mexico City. Explore Life at Zensar and join us to Grow. Own. Achieve. Learn. to be the best version of yourself. We believe the best work happens when individuality is celebrated, growth is encouraged, and well-being is prioritized. We are an equal employment opportunity (EEO) and affirmative action employer, committed to creating an inclusive workplace. All qualified applicants will be considered without regard to race, creed, color, ancestry, religion, sex, national origin, citizenship, age, sexual orientation, gender identity, disability, marital status, family medical leave status, or protected veteran status.