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.