Job Description AgileEngine is one of the Inc. 5000 fastest-growing companies in the U 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 A/B experiments to evaluate the impact of changes we make to the product using statistical methodologies; Use expert level SQL & Python & optionally R programming to develop data pipelines, write complex queries, and perform deep dive data analysis; Break down nuanced, complex data for partners, keeping context at the forefront of communication; Develop and automate reports in Tableau, iteratively build and prototype dashboards to provide insights at scale, solving for business priorities; Collaborate with cross-functional stakeholders to formulate and complete full cycle analysis that includes data gathering, analysis, ongoing scaled deliverables and presentations; Define and monitor key KPI's; investigate changes in metrics and propose next steps; Contribute to our team and company data culture through accessible database design and maintenance.
Must haves Minimum of 3-5 years experience in the following: SQL; Python; Business intelligence tools like Tableau ; Analytics tools such as Google Analytics or Mixpanel ; Data platforms like Snowflake and DBT ; Strong exploratory data analysis and data visualization skills; Deep understanding of relational databases and data warehousing; Working knowledge of Airflow, Nomad and other deployment tools; Git PR workflows; Lean heavier on Data science skills – preferable to have mix of SQL/Data science rather than just SQL; Upper-intermediate English level.
Nice to haves Startup & PropTech/Real Estate industry experienced preferred but not required/ Knowing R programming is a bonus; Working knowledge of various machine learning techniques and 1-2 years experience in building and deploying ML/AI solutions.
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.
Requirements Minimum of 3-5 years experience in the following: SQL; Python; BI tools (Tableau); Analytics tools (Google Analytics & Mixpanel); Snowflake; DBT; Deep understanding of relational databases and data warehousing; Working knowledge of Airflow, Nomad and other deployment tools; Git PR workflows; Lean heavier on Data science skills – preferable to have mix of SQL/Data science rather than just SQL; Working knowledge of various machine learning techniques and 1-2 years experience in building and deploying ML/AI solutions; Upper-intermediate English level.