Data Analyst (Middle) ID27457

  • Período Integral
  • Salvador

AgileEngine

Descrição da vaga

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 & 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 yrs 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.

    Nice to haves

  • Knowing R programming is a bonus;
  • Startup & PropTech / Real Estate industry experienced preferred but not required.

    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.

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