Product Analyst

🪜
Seniority Level
: 0-3 years of experience

📅
Apply by:
Sunday, 06 September 2026

Core Description

• Design and develop enterprise-grade Data & AI solutions using the latest technologies.
• Manage the Data Lifecycle with rich and complex data including cleaning, transforming, and enriching data sets.
• Build and integrate impactful AI Agents using scalable, secure and cost-effective architecture.
• Demonstrate deep understanding of AI risks including security and guardrails.
• Be part of dynamic and cross functional Agile teams to deliver the most innovative products in the market.

What We’re Looking For

🎓
Academic Qualifications

• Bachelor’s degree in Computer Science, Information Technology or Data Science.
• Master’s degree in the above subjects is an advantage.

🖥️ Technologies

Required knowledge

• (i) Relational Databases, Data Modelling and SQL and ability to extract, clean and analyze data to derive valuable insights. (ii) analytics techniques related to data mining, machine learning and predictive modelling (iii) cloud offered AI services from platforms like MS Azure.
• Use of data visualization and reporting tools like Business Objects, Power BI and SSRS.
• Strong command of programming languages such as Python or R.
• Familiarity with AI Evaluation Platforms such as DeepEval or similar.
• CI/CD integration.

An advantage

:

• Knowledge of Big Data technologies like Hadoop, MongoDB, Splunk or Elastic Search, is an advantage.
• API Testing (e.g. Postman, Test Assured).
• Test automation frameworks (e,g. Selenium, Playwright, Cypress, Appium).

➕ Certifications

• Any relevant certifications are an advantage.

🌟
Other Skills

• Strong analytical, critical thinking and problem-solving abilities.
• Ability to work collaboratively in a team environment is essential.
• Ability to manage time, multiple tasks, and work under pressure.
• Ability to take initiatives and make decisions.
• Eagerness to learn and develop new skills.
• Excellent verbal and written communication in both Greek & English.

What’s in it for you

💰 Total Rewards

• Competitive salary - Up to €35.000 (depending on qualifications and experience)
• 9% Provident Fund (employer contribution) from day one
• Performance bonus opportunities (discretionary)
• Preferential financing rates

🕒 Work–Life Support

• 28 days annual leave (increases with tenure)
• Sabbatical/part time options (discretionary)

🚀 Growth

• Continuous learning
• Personal and Professional development programs
• Recognition for great work
• Career opportunities with technical and management ladders

💚 Wellbeing

• Medical & life insurance
• Wellbeing Program: team‑building, mental‑health, nutrition & financial guidance
• Employee Assistance Line

📅
Ready to Apply?

Create your account on our recruitment platform and take the first step toward your next adventure!

Find out more at https://www.bankofcyprus.com/group/careers/vacant\-positions/

📌 Additional information

• Already have a profile in our recruitment system? Great! Just make sure you meet the criteria and apply directly to this position.
• We treat all applications with the strictest confidentiality.

💬 Need More Info?

Feel free to reach out to our recruitment team at hr@bankofcyprus.com

The Role

Are you passionate about transforming complex data into intelligent, business-driven solutions? Do you enjoy solving challenging problems, developing cutting-edge machine learning models, and collaborating with highly skilled professionals?

We are looking for a
Senior Data Scientist
to join our growing Data Science team. In this role, you will play a key part in designing and delivering innovative data products that create measurable business impact. You'll work with large-scale datasets, advanced machine learning techniques, and modern technologies while collaborating with multiple teams, and business stakeholders to bring data-driven solutions into production.

What You'll Do

• Lead the design, development, and delivery of high-impact data science and machine learning solutions.
• Translate complex business challenges into structured analytical approaches and scalable data products.
• Build, evaluate, and optimize advanced machine learning models, ensuring high standards of quality, performance, and reliability.
• Contribute to technical decisions and best practices across the data science lifecycle.
• Review and validate data preparation, feature engineering, model selection, experimentation, and documentation.
• Support the deployment and operationalization of machine learning models in batch and real-time environments.
• Present analytical insights and recommendations to technical and non-technical stakeholders.
• Ensure compliance with data quality, model governance, security, privacy, and responsible AI standards.
• Identify opportunities to leverage data science for automation, forecasting, personalization, optimization, and risk management.
• Collaborate closely with Data Engineers, Machine Learning Engineers, Software Engineers, Product Owners, and business stakeholders to develop production-ready solutions.
• Contribute to improving team processes, technical standards, and project delivery methodologies.
• Support the Lead Data Scientist in defining priorities, roadmaps, and strategic initiatives.

What We're Looking For

• University degree in Mathematics, Physics, Engineering, Computer Science, Data Science, or a related field.
• At least
  5 years of experience
  in a similar role.
• Hands-on experience with Python libraries such as
  Pandas, NumPy, and Polars
  for data processing and analysis.
• Strong Python programming skills with the ability to write clean, maintainable, and production-ready code.
• Strong knowledge of modern machine learning techniques and advanced architectures, including
  Transformers
  and
  Graph Neural Networks (GNNs)
  .
• Experience with data visualization libraries such as
  Matplotlib, Seaborn, and Plotly
  .
• Good knowledge of SQL and statistical analysis.
• Excellent analytical thinking and problem-solving skills.
• High attention to detail and commitment to delivering high-quality solutions.
• Strong communication skills with the ability to explain technical concepts to non-technical audiences.
• Excellent verbal and written communication skills in English.
• A collaborative mindset, curiosity, and a passion for continuous learning.

Nice to Have

• Exposure to Natural Language Processing (NLP).
• Experience working with NoSQL databases.
• Knowledge of software engineering best practices.
• Experience working in Unix/Linux environments.
• Basic understanding of AWS services and cloud-based machine learning environments.

Benefit from:

• Attractive remuneration package plus performance related reward
• Private health insurance
• Corporate pension fund
• Intellectually stimulating work environment
• Continuous personal development and international training opportunities

The Hiring Experience: What Awaits You:

• Let’s Connect – Intro Chat with Talent Acquisition
• Deep Dive – First Interview with Your Future Team
• Bring It to Life – Role-Specific Take-Home Task
• Final Connection – Final Interview

Company Description

We are SkillOnNet, leading the igaming entertainment by providing our customers with the most entertaining and trustworthy experience possible, while also reinventing the gambling industry. We are home to more than 30 well-known brands, including PlayOJO, DruckGluck, BacanaPlay, Genting, and many more. We are committed to long-term development and sustainability, and we are trying to revolutionise our industry for the benefit of our players, ourselves, and the entertainment industry as a whole.

Job Description

We are looking to hire
Junior Business Intelligence Analyst
with strong analytical skills and an interest in developing stakeholder management capabilities. As a Junior BI Analyst, you will support the use of Business Intelligence tools to improve process automation and business performance visibility, contributing to data-driven decision-making across the business.

You will work with Tableau to create and maintain reports and dashboards, while learning how BI solutions can generate incremental business value. This is a great opportunity for a motivated individual looking to build on their foundational experience, develop technical and business skills, and grow within a dynamic team in an already successful organization.

Responsibilities include:

• Must be a quick learner with the ability to develop in-depth understanding of underlying data, data structures, and business uses of data
• Partner with a variety of business teams and external agencies to gather, document and maintain business requirements that will inform data modelling decisions
• Experience working with multi-nationals with the ability to assimilate relevant cultural and regulatory differences
• Utilize SQL and Data visualization tools deliver Dashboards and Analysis to enhance Visibility and Decisions making
• Identify opportunities for increased automation and efficiency through technical solution
• Experience in building customer lifetime value models
• Help department managers with ad hoc projections and other modelling tasks
• Deliver day to day data request
• Identify cost saving opportunities
• Experience in creating financial modelling
• Utilize a hypothesis-driven problem-solving approach to design, construct, and rapidly test/iterate exploratory data-mining analyses to reveal insight
• Interprets and communicates insights to senior management
• Works with business leaders to identify and develop metrics and visualizations that will track performance and highlight potential in efficiencies
• You will require strong analytical acumen with the ability to uncover insights and create stories by seamlessly integrating a variety of data sources
• The ability to work with large, complex data sets across multiple platforms and design efficient processes to provide accurate and timely information is crucial

What we are looking for:

• Bachelor’s degree in data science or related field
• 0–2 years of experience in a Business Intelligence, Data Analyst, or similar analytical role (including internships, graduate placements, or relevant academic projects).
• Experience in the gaming industry is beneficial but not required
• Experience with prediction models and quantitative analysis will be considered an advantage but it is not required
• Basic to intermediate
  SQL
  skills, with the ability to write and understand queries for data extraction and analysis
• Strong
  Excel
  skills, including the use of formulas, pivot tables, and basic data analysis techniques
• Understanding of digital tracking, measurement, and reporting tools
• Strong written and verbal communication in the English Language
• Teamworking skills– the ability to build relationships internally and externally, with experience working with third party agencies
• Trustworthiness

What's in it for YOU?

• Excellent work environment
• Monetary vouchers on Birthdays and other special occasions
• Fully equipped kitchen and in-house entertaining space
• Options to enroll in Company's medical insurance plan
• Possibilities to enroll in Company's pension plan
• Exciting company activities including monthly lunches, corporate gatherings, an intercompany football team, competitions, and many other activities
• Casual dress code
• A chance to advance professionally inside one of the world's largest iGaming organizations

What Life at SkillOnNet is like!

SkillOnNet is a firm believer in putting people first and our “family oriented” multinational culture is what drives us. We care and focus on our staff and ensure that you are provided with the most relevant and valuable tools, privileges and amenities.

Miratech helps visionaries change the world. We are a global IT services and consulting company that brings together enterprise and start-up innovation. Today, we support digital transformation for some of the world's largest enterprises. By partnering with both large and small players, we stay at the leading edge of technology, remain nimble even as a global leader, and create technology that helps our clients further enhance their business. We are a values-driven organization and our culture of Relentless Performance has enabled over 99% of Miratech's engagements to succeed by meeting or exceeding our scope, schedule, and/or budget objectives since our inception in 1989.

Miratech has coverage across 5 continents and operates in over 25 countries around the world. Miratech retains nearly 1000 full-time professionals, and our annual growth rate exceeds 25%.

Job Description
We are looking for a Junior
Data Engineer specialized in Azure Databricks
to join our data platform team.

The candidate will develop and support modern data pipelines and Lakehouse architectures, leveraging Azure Databricks, Spark, and Azure Data Factory, while integrating with existing SQL Server-based data warehouse environments. The role offers an opportunity to learn and grow within a modern cloud data ecosystem while contributing to analytics and business intelligence initiatives.

Key responsibilities:

• Support and evolve existing SQL Server data platforms and ETL solutions
• Develop and maintain data pipelines using Azure Databricks
• Build and optimize data transformations using PySpark and SQL in Databricks
• Develop ETL/ELT pipelines orchestrated through Azure Data Factory
• Integrate data from multiple sources into the data platform and analytical layers
• Maintain data models and data warehouse structures for analytics
• Ensure data quality, scalability, and performance of large-scale data processing pipelines
• Collaborate with BI teams to support Power BI and reporting platforms
• Participate in the implementation of modern cloud-based data architectures under guidance from senior team members

Qualifications

• 2+ years of experience in Data Engineering, Data Warehouse development, or a related field
• Experience with Azure Databricks
• Experience developing data pipelines using PySpark and Spark SQL
• Understanding of distributed data processing and big data concepts
• Good SQL skills and experience with SQL Server relational databases
• Experience building data pipelines using Azure Data Factory
• Exposure to data processing and performance optimization concepts

Nice to have

• Knowledge of Spark optimization techniques (partitioning, caching, cluster tuning)
• Familiarity with Power BI and Databricks Structured Streaming
• Experience in migrating from traditional ETL process to cloud architectures
• Familiarity with Delta Lake and Lakehouse architectures

Soft Skills

• Strong analytical and problem-solving skills
• Good communication and collaboration skills
• Team player with a proactive mindset
• Eager to learn and continuously develop technical expertise
• Adaptable and comfortable working in dynamic environments

Additional Information
We offer:

• Culture of relentless performance: join an unstoppable technology development team with a 99% project success rate and more than 30% year-over-year revenue growth.
• Competitive pay and benefits: enjoy a comprehensive compensation and benefits package, including health insurance, language courses, and a relocation program.
• ForeverRemote work culture: make the most of the flexibility that comes with remote work.
• Growth mindset: reap the benefits of a range of professional development opportunities, including certification programs, mentorship and talent investment programs, internal mobility and internship opportunities.
• Global impact: collaborate on impactful projects for top global clients and shape the future of industries.
• Welcoming multicultural environment: be a part of a dynamic, global team and thrive in an inclusive and supportive work environment with open communication and regular team-building company social events.
• Social sustainability values: join our sustainable business practices focused on five pillars, including IT education, community empowerment, fair operating practices, environmental sustainability, and gender equality.
• Miratech is an equal opportunity employer and does not discriminate against any employee or applicant for employment on the basis of race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity, or any other protected status under applicable law.