




Job Summary: We are seeking a Senior Analytics Engineer to transform complex data into actionable insights, enhancing products and identifying opportunities within digital financial services. Key Highlights: 1. Development of digital solutions with real-world impact. 2. Culture rooted in trust, collaboration, and continuous learning. 3. Participation in challenging technology projects. *Disclaimer – Mandatory Reading: Commitment and Dedication* *This role requires full-time dedication, with clear priority given to Darwoft’s projects during established working hours. It is not compatible with other full-time professional commitments. Any additional professional activity must be disclosed in advance and must not interfere with responsibilities for this role.* **Get to Know Darwoft** ------------------ At Darwoft, we build digital solutions that deliver real-world impact. We are a Latin American technology company partnering with organizations across industries to create human-centered products. Our culture is built on trust, collaboration, continuous learning, and autonomy. We work remotely, supporting each individual’s professional growth while enabling participation in challenging technology projects. We are passionate about technology—but especially about people. We aim to build teams where ideas have space to flourish, impact is visible, and growth is shared. **Analytics Engineer (SQL/BI/dbt) · Senior · Remote · ARG** =========================================================== **General Information** ----------------------- * **Location:** Argentina * **Work Mode:** 100% remote * **Employment Type:** Formal employment relationship * **Industry:** Fintech / Digital financial services * **Time Zone:** Argentina * **English Proficiency:** Not mandatory * **Seniority:** Senior **About the Role** ---------------- We are adding a Senior Analytics Engineer to join one of the most ambitious products of a leading Argentine digital financial services company. Your mission will be to transform complex data into actionable insights that improve products, identify opportunities, and support business decisions with tangible impact—both for the business and for end users’ experiences. This role blends analytics engineering, business intelligence, data modeling, experimentation, and product vision. Impact will not be measured solely by the number of dashboards built, but by your ability to translate data into concrete, simple, personalized, and scalable initiatives. **Key Responsibilities** --------------------------------- * Develop decision-making–oriented dashboards and visualization solutions. * Build data models enabling deeper analysis and answering specific business questions. * Transform raw data into relevant, clear, and actionable insights. * Design business-oriented semantic layers that simplify data access and interpretation. * Collaborate with Product, Business, Technology, and other teams to execute analytics projects. * Use and analyze results from existing predictive models. * Drive Key Results by identifying and proposing data- and experimentation–based initiatives. * Co-develop business cases with the team, evaluating alternatives and supporting decisions with evidence. * Define business rules for extraction, transformation, and modeling of large-scale data volumes. * Actively participate in agile ceremonies, contributing an analytical and product-oriented perspective. * Analyze outcomes and propose continuous improvements to strengthen product reach and impact. * Promote end-user autonomy through simple, reliable, and scalable data products. **Mandatory Requirements** -------------------------- * 5+ years of experience as an Analytics Engineer, Technical Data Analyst, Product Data Analyst, or similar roles. * Experience working with complex data and digital products. * Intermediate or advanced SQL knowledge. * Intermediate or advanced experience with visualization tools such as Amazon QuickSight, Power BI, or Tableau. * Experience building dashboards focused on impact, outcome measurement, and end-user autonomy. * Experience in data modeling and building business-oriented semantic layers. * Experience extracting, transforming, and modeling large-scale data volumes. * Ability to define and implement business rules over data. * Practical experience with at least one data transformation or modeling tool, such as dbt, Matillion, or Google Cloud Dataflow. * Ability to collaborate with multidisciplinary teams and translate business needs into analytical solutions. * Analytical mindset, autonomy, and results orientation. **Nice-to-Have** ----------------- * Intermediate Python or R knowledge. * Experience working with cloud computing services. * Knowledge of API consumption and integration. * Experience with data visualization libraries in Python or R. * Experience in data experimentation, including A/B testing and statistical inference tests. * Basic knowledge of Data Science and predictive modeling. * Knowledge of descriptive and inferential statistics. * Familiarity with orchestration tools such as Apache Airflow or Dagster. * Experience automating and scheduling data transformation processes. * Prior experience in financial products, digital banking, or fintech. * Understanding of financial metrics, customer behavior, and transactional digital products. **What Darwoft Offers** ---------------------- * Full-time formal employment relationship * Payment in Argentine pesos * 100% remote work * Competitive salary * Statutory vacation days and leave entitlements * Additional personal days per year * Access to learning platforms * Benefits card and discounts * Welcome kit * Reimbursement programs * English classes * Referral program * Birthday gift * Healthy Break * Darwoft-style celebrations, anniversaries, year-end parties, and team-building activities Explore this and other opportunities at: www.darwoft.com/careers


