AgileEngine is a privately held company established in 2010 and HQed in the Washington DC area. We rank among the fastest-growing US companies on the Inc 5000 list and the top-3 software developers in DC on Clutch.
13 березня 2025

Analytics Engineer (Senior/Lead) ID26720 (вакансія неактивна)

Київ, Львів, Краків (Польща), віддалено



AgileEngine is one of the Inc. 5000 fastest-growing companies in the US and a top-3 ranked dev shop according to Clutch. We create award-winning custom software solutions that help companies across 15+ industries change the lives of millions.

If you like a challenging environment where you’re working with the best and are encouraged to learn and experiment every day, there’s no better place — guaranteed! :)

What you will do
● Design, develop, and maintain data models for efficient querying and analysis;
● Implement and optimize SQL-based transformations to support analytics workflows;
● Utilize DBT (Data Build Tool) for data transformation, ensuring data quality and governance;
● Develop advanced Tableau dashboards and other visualization tools to present insights effectively;
● Collaborate with data engineers to integrate and refine ETL/ELT pipelines;
● Write and maintain Python scripts for automation and advanced data manipulation;
● Work closely with stakeholders to understand business needs and translate them into data-driven solutions;
● Ensure data integrity, consistency, and reliability across the analytics ecosystem.

Must haves
4+ years of experience in Business Intelligence / Analyst roles;
Tableau: Advanced proficiency in creating dashboards and visual reports;
SQL: Advanced skills in writing and optimizing queries for complex datasets;
DBT: Intermediate experience with data transformations and pipeline management;
Python: Intermediate experience for scripting, automation, and data processing;
ETL/ELT: Basic understanding of data extraction, transformation, and loading techniques;
● Strong problem-solving skills with the ability to work on multiple projects simultaneously;
● Experience working in cloud-based environments (AWS, GCP, or Azure) is a plus;
● Familiarity with data warehousing concepts and best practices;
● Working hours will be Dublin Time Zone;
● Upper-Intermediate English level.

Nice to haves
● Experience working in a hybrid role combining data engineering and analytics;
● Strong business acumen with the ability to translate data insights into strategic decisions;
● Prior experience in industries such as finance, e-commerce, or technology is a plus;
● Knowledge of additional BI tools like Looker, Power BI, or Metabase is a bonus.



The benefits of joining us
Professional growth: Accelerate your professional journey with mentorship, TechTalks, and personalized growth roadmaps
Competitive compensation: We match your ever-growing skills, talent, and contributions with competitive USD-based compensation and budgets for education, fitness, and team activities
A selection of exciting projects: Join projects with modern solutions development and top-tier clients that include Fortune 500 enterprises and leading product brands
Flextime: Tailor your schedule for an optimal work-life balance, by having the options of working from home and going to the office — whatever makes you the happiest and most productive.