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Data Analyst (Middle) ID27457

Remote:

Full Remote

Experience:

Mid-level (2-5 years)

Work from:

Ukraine

Offer summary

Qualifications:

3-5 years experience in SQL and Python, Expertise with Tableau and Google Analytics, Strong skills in data visualization, Upper-intermediate level of English.

Key responsabilities:

Design A/B experiments for product impact
Develop and automate reports and dashboards

Agile Engine Large https://agileengine.com/

1001 - 5000 Employees

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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.