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Redis

Data Analyst (AI&Predictive analytics experience)

Bulgaria
SQL Redis
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Description

Who we are
We're Redis. We built the product that runs the fast apps our world runs on. (If you checked the weather, used your credit card, or looked at your flight status online today, you’re welcome.) At Redis, you’ll work with the fastest, simplest technology in the business—whether you’re building it, telling its story, or selling it to our 10,000+ worldwide customers. We’re creating a faster world with simpler experiences. You in?

Why would you love this job?

If you enjoy evaluating and analyzing data, have a desire to step up from descriptive analytics ("what happened?") to predictive analytics ("what will happen?"), understand our business users' challenges and how to integrate and implement AI solutions for self-service BI, then this is the right challenge for you!

 

What you’ll do: 

  • Develop and deploy ML models by using a Predictive Analytics tool (Pecan)
  • Maintain & monitor ML models in production to ensure they remain accurate and reliable
  • Present model results and insights to our major business units in a clear and concise manner through visualizations and reports, allowing stakeholders to understand results and take data-informed actions
  • Design, develop, and implement POCs for GenAI SQL Chatbot solutions to address business needs and objectives
  • Implement GenAI SQL that will allow any stakeholder to ask questions about their data
  • Understand business problems, analyze complex data sets, and provide insights to drive data-informed business decisions
  • Design and create BI reports, dashboards and ad-hoc analysis to provide insights and business performance monitoring
  • Work closely with a wide range of teams, including Senior Management and Ops teams

 

What will you need to have? 

  • B.Sc/M.Sc in Information Systems Engineering, Industrial Engineering, Computer Science, Data Science, Statistics, Mathematics, and other related fields
  • At least 2 years of relevant work experience as an AI/ML Analyst, Data Analyst, Data Scientist, or a similar role
  • At least 2 years of experience working at a SaaS company, B2B and/or B2C
  • Experience in deploying AI/ML models
  • Experience in designing, developing, and implementing POCs for AI solutions to address business needs and objectives
  • Strong analytical skills
  • Strong SQL with experience in querying large, complex data sets
  • Extensive experience with at least one BI tool: Tableau, Qlik Sense, or another web BI tool (our team uses Tableau)
  • Advanced Excel skills
  • Strong communication, organizational, and interpersonal skills
  • Ability to multitask and handle various priorities in a fast-paced environment  

Extra great if you have: 

  • Experience with Pecan predictive analytics tool (or a similar tool)
  • Experience with GenAI SQL Chatbot tool (ThoughtSpot, Zenlytic, or a similar tool)

#LI-LK2

As a global company, we value a culture of curiosity, diversity of thought, and innovation from our employees, customers, and partners. Redis is committed to a diverse and inclusive work environment where all employees’ differences are celebrated and supported, and everyone feels safe to bring their authentic selves to work. Redis is dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national orientation, sexual orientation, age, marital status, disability, gender identity, gender expression, Veteran status, or any other classification protected by federal, state, or local law. We strive to create a workplace where every voice is heard, and every idea is respected.
 
Redis is committed to working with and providing access and reasonable accommodation to applicants with mental and/or physical disabilities. If you think you may require accommodations for any part of the recruitment process, please send a request to recruiting@redis.com. All requests for accommodations are treated discreetly and confidentially, as practical and permitted by law.
 
Redis reserves the right to retain data longer than stated in the privacy policy in order to evaluate candidates.
Redis
Redis
Analytics Big Data Cloud Data Services Database Information Technology Open Source Software

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