Senior Analytics Engineer

Hi there As Factorial continues on our mission of boosting the next generation of people‑first SMBs were hiring a Senior Analytics Engineer to help. The Team and you Factorials mission is to empower businesses to make better decisions and data is a key component in doing so. As an Analytics Engineer at Factorial youll sit at the intersection of data engineering, business intelligence and product analytics. Our data platform is already offering the following services: Ingestion (SaaS APIs, DDBBs, Streams) Storage (Data Lake, Stream Storage) Catalogue (Atlan) Modeling (Metabolic / DBT) Activation (Hightouch) Exploration & Visualization (Preset / PowerBI) On‑demand Data Products (ClickHouse) Were looking for an Analytics Engineer to collaborate closely with Product and our Finance teams. The Role At Factorial we have a team of 150 very talented developers. We are looking for engineers who can wear many hats, abstract problems and find creative solutions. We look for smart people who are curious, proactive and have good soft/communication skills. We are not looking for a long list of skills and technologies. We interact with Data through SQL on AWS but we use many tools to exploit data we dont expect you to be proficient in all of them. We believe that someone who has good aptitudes and is hungry for learning is what works best. If youre looking for new challenges in a people‑first company this is what to expect: You design, build and maintain robust scalable data models, pipelines and dashboard/reporting systems to support internal stakeholders across Product and Finance. You will help stakeholders analyse their data: as you grow more comfortable in the business domain you will be able to ask the right questions as well as craft the queries to answer them. You will ensure high data quality, consistency and reliability. Implement testing, validation, version control and monitoring in the data flow. You will occasionally contribute in managing the platform from a DataOps point of view. Your background Knowledge of the AWS Analytics Stack (Glue, S3, Athena, Redshift, Kinesis, Lake Formation) Advanced Analytical SQL knowledge. GitOps driven mentality and data CI/CD ideas. Nice to have Hands‑on with Kafka. Spark development especially Structured Streaming or equivalent (Flink, Beam, Samza…) Some infrastructure as code experience ideally with Terraform on Cloud. Some alternative coding experience ideally with a background of web development. At Factorial we dont evaluate you by the years of experience you have; we evaluate your knowledge and skills. We have a Career Path with a rubric framework that defines what is expected for each experience level and skill. This framework allows you to know at which level youre right now and what you need to keep growing. As we love transparency our Career Path includes the salaries for each level and we share it during the first interview to make sure were aligned. For this position the annual gross salary starts at 60500 . This includes a base salary of 55000 and a variable pay of up to 5500 annually and paid quarterly depending on the companys goals. We top it with an Employee Stock Options Plan. Were looking for a Senior Analytics Engineers with AWS Analytics Stack and advanced SQL skills. 60.500 Salary (Senior) ESOP plan. 1.000 of annual Learning and Development budget. A safe and diverse environment to grow and make an impact. And when at the office... Breakfast in the office and organic fruit. Nora and Apetit discounts. Free caffeine and theine. Pet Friendly. Key Skills Adobe Analytics, Data Analytics, SQL, Attribution Modeling, Power BI, R, Regression Analysis, Data Visualization, Tableau, Data Mining, SAS, Analytics Employment Type : Employee Experience : years Vacancy : 1 Yearly Salary Salary : 60500 - 60500 #J-18808-Ljbffr