BI & Data Analyst

We are seeking a skilled BI & Data Analyst to join our Solution Optimization team. In this role, you will leverage our analytics tools, products, and software to enhance customer applications and contribute to our Analytics & Insights

offerings.

Solution Optimization

• Analyze and interpret trends or patterns in complex data sets to identify improvement opportunities in real-life human-system dialogs.
• Provide actionable insights and recommendations to optimize customer applications.
• Collaborate with UX designers to validate design choices through data, calculate estimated impact pre-launch, and conduct impact analysis post-deployment.
• Utilize data to identify and recommend ways to increase core application KPIs such as automation and containment rate, thereby driving business value.
• Conduct data-driven NLU model validations, including intent and entity analysis.

Reporting

• Build and provide ongoing and ad hoc reports on system performance, also aiming to recommend ways to realize more business value from the service.
• Create custom dashboards and visualizations
• Collaborate with customers to identify KPIs to be tracked, and compare system performance.
• Present and discuss reports and analyses with customers, partners, internal and external stakeholders.
• Support QBR meetings and Sales initiatives by creating and presenting performance reports and case studies.
• Provide demo support as needed.
• Process & Product Optimization
• Develop tools and processes to optimize in-house monitoring and analytics tasks.
• Recommend improvements to our productized Analytics offering and develop prototypes to test these improvements.

Requirements

• Bachelor's degree in Business Analytics, Computer Science, Data Science, Statistics, Mathematics, or a related field. A Master's degree or relevant certifications is a plus.
• Experience as a Business Intelligence or Data Analyst.
• Experience with data warehousing, ETL processes, and SQL.
• Proven experience with Snowflake and data integration.
• Strong experience with Python (pandas, numpy).
• Strong experience with BI tools such as Tableau, Power BI, or QlikView.
• Solid understanding of business processes and the ability to translate them into BI solutions.
• Strong analytical and problem-solving skills with the ability to interpret complex data sets.
• Ability to present complex data findings clearly and concisely to senior stakeholders.
• Excellent communication and interpersonal skills for effective collaboration with technical and business teams.
• Professional-level proficiency in English.
• High attention to detail and accuracy in data analysis and reporting.

Nice to have

• MSc in Data Science, Statistics, Business Analytics, or a related field.
• Experience with Tableau Desktop & Server.
• Proficiency in other programming languages (Java, R, MATLAB, Scala).
• Experience with conversational automated dialogue systems (voice or chat-based). Production-level knowledge of NLU/NLP solutions is a strong plus.
• Knowledge and/or experience with Generative AI and LLMs.
• Understanding of machine learning algorithms and data science techniques for enhancing business intelligence.
• Experience with big data technologies like Hadoop or Spark.
• Familiarity with Python or R for advanced data analysis and automation.
• Experience or familiarity with UI/UX design principles, particularly for user-friendly dashboards and reports.
• Experience with Agile project management and tools like JIRA or Confluence.

Benefits

• Fixed compensation;
• Long-term employment with the working days vacation;
• Development in professional growth (courses, training, etc);
• Being part of successful cutting-edge technology products that are making a global impact in the service industry;
• Proficient and fun-to-work-with colleagues;
• Apple gear.

Omilia is proud to be an equal opportunity employer and is dedicated to fostering a diverse and inclusive workplace. We believe that embracing diversity in all its forms enriches our workplace and drives our collective success. We are committed to creating an environment where everyone feels welcomed, valued, and empowered to contribute their unique perspectives without regard to factors such as race, color, religion, gender, gender identity or expression, sexual orientation, national origin, heredity, disability, age, or veteran status, all eligible candidates will be given consideration for employment.