• Develop and maintain ETL/ELT pipelines using PySpark and Python in Databricks • Build and extend data transformations across Bronze, Silver, and Gold layers of the medallion architecture • Write well-structured, readable, and testable code following team standards and review feedback • Troubleshoot and resolve data pipeline failures, with escalation to senior engineers for complex issues • Contribute to pipeline documentation including data flow diagrams and inline code comments • Write and optimize T-SQL queries, stored procedures, and views in SQL Server • Support data loads and transformations that feed the SQL Server data warehouse • Assist in identifying and resolving query performance issues with guidance from senior engineers • Apply basic indexing knowledge and understand schema design patterns used by the team • Write unit tests and data quality checks for pipelines developed or modified • Use established data quality frameworks and tooling consistent with team standards • Investigate and escalate data anomalies or quality issues found in pipelines • Participate in code reviews — both receiving and providing constructive feedback as skills develop • Collaborate with teammates during sprint planning, standups, and retrospectives • Communicate blockers and progress clearly to your manager and team • Work with data analysts and other stakeholders to understand requirements for assigned work

• Own how data moves from Inato's platform into the hands of the people who depend on it — our product squads, CS and Marketing teams, sponsors, and sites. • Enable trusted self-service at scale. • Prove the value of our new product offerings faster. • Ship data products directly into the user experience. • Partner with Product squads (PMs, engineers, designers), with regular touchpoints into CS, Marketing, and Sponsor / Site Ops. • Own metric definitions, build the semantic layer powering our AI-driven self-service in Hex. • Translate vague operational pains into working data assets in days — from real-data prototype to production-grade pipeline. • Own the tables consumed by the product itself, and the user-facing dashboards that sponsors, sites, and internal teams rely on day to day. • Automate the parts of data work that don't need a human in the loop so the team can keep pace as new offerings multiply and Inato grows.

Role Description Join Lightspeed's fast-growing Financial Services division as a talented and passionate Analytics Engineer on our FS Data team. In this key role, you'll be instrumental in overseeing all analytic and reporting needs, contributing directly to the success of every domain within Financial Services. If you have worked on data pipelines, have great communication skills, are familiar with data modeling and have helped teams to gather both predictive and historical insights, you might be a great fit for this role! This role also involves collaborating with multiple functions across Lightspeed, including Application Engineering, Product, Operations, Risk and Finance among others. For this role, you should be located in Canada, and able to work within EST/EDT hours. We offer a choice of fully remote, partially remote or fully office-based work environments (in cities with local offices). Responsibilities - Cleanse and transform raw data into business logic to help stakeholders build reports and data models - Analyze raw data and suggest data sources that best meet expressed business needs - Ensure the right data gets to the right people at the right time - Collaborate with the Central Data Team to build data pipelines in accordance with shared best practices and design, and feed data models for usage - Act as a champion for data quality and usability across the Financial Services organization - Ensure availability, quality and searchability of data and documentation - Write, clean and maintainable queries and scripts that are highly performing, well-structured and easy to understand and extend using version control and CI/CD - Automate testing of data models and add appropriate validations to ensure quality - Help define and improve our internal standards for data models and infrastructure - Ability to explain intermediate to complex information to other team members - Ability to maintain or develop simple report or dashboard in Looker Qualifications - Experience with SQL and Python coding (or equivalent language) - Experience with MPP data warehouse (we use BigQuery) - Experience with dbt or dataform - Experience in performing data profiling, data mapping and data quality validation - Experience with data orchestrator - Understanding of industry standards for data warehousing and data modelling - Knowledge of data environments (we use GCP) as well as containerization solutions - Experience in source control, CI/CD and automated testing - A security mindset with the ability to work with compliance protocols (SOX, GDPR) - Excellent communication skills and ability to communicate with technical and non-technical stakeholders - Excellent problem-solving skills - Ability to work independently and in teams - Self-motivated and great at taking initiative Requirements - Experience in the Payments or Financial Services domain - Experience in working with SaaS solutions - Solid knowledge of cloud services (AWS and GCP in particular) Benefits - A flexible work environment that empowers you to do your best work - A culture that celebrates performance - The chance to make an impact in a team that’s big enough for career growth, but lean enough to make your voice heard - Career-defining opportunities - Flexible paid time off and remote work policies - Equity options, because this is your company too - Contributions to your pension plan. Your future matters - Training opportunities to grow your skills and career - Health and wellness credit so you feel your best - Time off to volunteer and give back to your community - Interest groups, employee-led networks, social committees to sponsored sports teams - Computer purchase program to get your personal MacBook - Enhanced parental leave to support growing families - Lightspeed equity scheme (we are all owners) - Unlimited paid time off policy - People Experience - Our PX benefit allows you to work from pretty much anywhere in the world for 60 days a year - Health insurance: Immediate access to health, dental, vision, and life insurance for you and your eligible dependents - Employer RRSP contribution of up to 4% of base salary to a maximum of $5,000 - Health and wellness benefit of $500 per year - Employee Technology Purchase Program: Ability to an interest-free loan to purchase certain Apple products - LinkedIn Learning: Free access to LinkedIn learning along with your career GPS to help you learn & grow - Paid leave and assistance for new parents - Mental health online platform and counselling & coaching services - Volunteer day - A variety of snacks, coffee, and teas are always accessible and available in the office kitchen

Title: Analytics Team Lead Location: United States Job Description: Brand: LexisNexis Risk Solutions Job ID: R112341 Contract Type: Regular Schedule: 40 What we do at LexisNexis® Risk Solutions LexisNexis® Risk Solutions provides customers with solutions and decision tools that assist them in evaluating and predicting risk and enhancing fraud detection. We use the power of data and advanced analytics to help our customers make better, timelier decisions. Our innovative solutions enable our clients to manage risks like identity theft, fraud, money laundering and terrorism, and prevent financial crimes. Our core mission is to ultimately help make communities safer and to protect those who may be vulnerable to fraud. Drawing from the collective expertise of our experienced team, we continuously evolve to stay a step ahead of fraudsters. Every day, as millions go about their lives, it's our behind-the-scenes efforts that ensure their security, giving them the confidence to trust and engage online without fear of being de-frauded. Learn more about the LexisNexis Risk team and how we work here About the role As an Analytics Team Lead, you will provide technical and project leadership across analytics engagements, using global data from the largest, real-time fraud detection platform to craft solutions for our enterprise customers and deliver against strategic projects. Your experience with data analysis, fraud and technology will lead to immediate real-world impact in the form of lower customer friction, reduced fraud losses and as a result, increased customer profitability. This role will involve a mix of internal collaboration and customer-facing work; the balance may vary based on business needs and project demand. Responsibilities · Lead analytics workstreams end-to-end: scope and plan deliverables, align stakeholders, and ensure delivery is on track. Provide day-to-day guidance and mentorship to analysts and partners (without direct people management responsibility initially). · Perform data analysis to identify both high-risk and trusted behaviours, translating findings into actionable insights ranging from intuitive rules to high-performing policy and score optimisations. You will design, test, and deploy single- and multi-product solutions on our Dynamic Decision Platform. · Stay ahead of fraud and industry trends and continuously propose new ways to fight emerging and dormant threats. Inspire the wider team to do the same and think outside the box beyond the data. · Produce materials summarising your analysis and present compelling narratives to customers and prospects. Guide your team to do the same through regular coaching, brainstorming, and maintaining best practice documentation. · Develop, standardize, and implement best practices and reusable assets (analytics playbooks, scripts, reporting/presentation templates, and repeatable processes) to scale analytics delivery across the National Cross Market Professional Services team. Provide enablement such as deck creation support and storytelling training to raise the bar on insight communication. · Collaborate with wider LNRS teams including Product, Engineering, Sales and Marketing to help shape and improve our products and external messaging. Help quantify and champion the value and impact of analytics Professional Services engagements internally and externally. · Demonstrate a professional and customer-centric persona when interacting with internal stakeholders and, as needed, directly with customers via phone, e-mail, and chat. Location United States (Remote) Who is the ideal candidate? · Proven analytics leadership in the security, fraud, financial crime, or payments industry—leading complex engagements end-to-end and influencing stakeholders without formal authority (experience in banking or other large enterprises preferred). · Strong interest in working with both large and small datasets; advanced SQL is required, and Python is preferred. · Demonstrated ability to choose and apply statistical/analytical techniques appropriately, with strong critical thinking and attention to detail (quantitative degree preferred). · Deep curiosity about fraud and financial crime patterns, including account takeover, scams and social engineering, Card Not Present (CNP) fraud, money laundering, mule activity, and synthetic identity. · Experience with fraud/risk decisioning platforms and operational analytics (e.g., ThreatMetrix, Featurespace, Hunter, iovation, BioCatch, Actimize/Falcon, etc.); experience delivering solutions in multi-product decisioning environments is a plus. · Polished communicator and presenter with the ability to remain calm and credible when ideas are challenged, maintaining a professional and customer-centric approach in internal and external interactions. Additional location(s): Florida; Ohio; Georgia; Michigan; Pennsylvania; Texas; North Carolina; Illinois; California; New York U.S. National Base Pay Range: $115,400 - $192,300. Geographic differentials may apply in some locations to better reflect local market rates. If performed in Illinois, the base pay range is $121,200 - $201,900.If performed in Chicago, IL, the base pay range is $126,900 - $211,500.If performed in New York, the base pay range is $126,900 - $211,500.If performed in New York City, the base pay range is $138,400 - $230,700.If performed in Rochester, NY, the base pay range is $115,400 - $192,300.If performed in Ohio, the base pay range is $109,500 - $182,700. This job is eligible for an annual incentive bonus. We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location.