Analytics Engineer

2 tygodni temu


Poznań, Greater Poland TN Poland Pełny etat

Social network you want to login/join with:

Client:

AgileEngine

Location:Job Category:

Other

EU work permit required:

Yes

Job Reference:

e11c521a062b

Job Views:

2

Posted:

26.03.2025

Expiry Date:

10.05.2025

Job Description:

Job Description

AgileEngine is one of the Inc. 5000 fastest-growing companies in the U.S. 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.
Next Steps After You Apply

The next steps of your journey will be shared via email within a few hours. Please check your inbox regularly and watch for updates from our Internal Applicant site, LaunchPod, which will guide you through the process.

Requirements
  • 4+ years of experience in software development;
  • Strong SQL and Python skills for data manipulation and automation;
  • Experience in ETL development and working with finance-related data;
  • Familiarity with DBT and Snowflake for data modeling and pipeline development;
  • Background in finance, accounting, or business analysis;
  • Experience with business intelligence tools (Tableau preferred);
  • Strong communication and problem-solving skills;
  • Ability to work under tight deadlines during financial close periods;
  • Working hours will be Dublin Time Zone;
  • Upper-Intermediate English level.
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