Data Analyst for HR

Job Description

We are seeking a skilled Data Analyst to join our Learning and Talent Development team. In this role, you will be responsible for collecting, analyzing training data, generating insights from stakeholders and creating reports that will help optimize our learning programs and our learning initiatives. The ideal candidate has strong analytical skills, is proficient in data visualization tools, and has experience working with datamart, reports visualization & training metrics and learning-related data.

You will be part of a 50+ member global training team and a driving force that is responsible for employee skill and capability development

In this position, you are expected to be self-starter, quick learner and must be capable of working independently with minimal supervision.

This position is right for you if you enjoy working in a complex matrix, dynamic and challenging environment.

What We Can Do for You / Why join us

At Netcracker we believe in fostering innovation, encouraging growth, and creating an inclusive and supportive environment. If you want to be part of a forward-thinking organization that values creativity, offers unparalleled learning opportunities, and supports your work-life balance, then we are the right place for you. We reward excellence with competitive compensation, and we’re committed to making sure every employee feels valued and empowered.

• At Netcracker, you will find an engaging and dynamic environment where you can contribute to the development of employees to build Telecom solutions.
• Netcracker (wholly owned subsidiary of NEC) have 30+ years of BSS / OSS & managed services experience, partnering with over 250+ customers over 50+ global locations which makes a lot of opportunity for career development
• Work-Life balance - We offer flexible work arrangements, 2 days from office (subject to change in future) with flexible working hours, leave policies, health and wellness programs
• Collaborative Environment: Emphasize teamwork, collaboration, and a supportive work atmosphere

Key Responsibilities:

• Analyze training data to identify trends, patterns, and areas of improvement in learning programs.
• Design, develop, and maintain data dashboards, reports, and visualizations that support decision-making within the Learning and Talent Development team.
• Collaborate with stakeholders to understand data requirements and provide actionable insights to optimize talent development strategies.
• Assist in measuring the effectiveness and ROI of learning programs and initiatives.
• Conduct ad hoc data analysis as needed to support the learning and development strategy.
• Ensure data accuracy, integrity, and security when handling sensitive employee and training-related information.
• Provide recommendations based on data analysis to improve learning content and delivery methods.
• Support the team with reporting automation and continuous improvement of data processes.
• Assure the functional design & acceptance activities for other Training management- related in-house development (ML-based tools, assistants, bots, LMS etc)

Languages:

Kazakh- conversational ( would be a plus)
Russian - conversational

English - upper-intermediate

Qualifications:

• Bachelor’s degree in Data Science, Statistics, Computer Science, or a related field.
• 2+ years of experience in data analysis, preferably in a Learning and Development or Human Resources environment.
• Proficiency in data analysis tools such as Excel, SQL, Power BI, or Tableau.
• Working experience in SQL, PostgreSQL, python, Apache Superset, Apache Airflow
• ability to work with Jenkins
• Experience working with HR systems (e.g., LMS, HRIS) and familiarity with training data.
• Strong understanding of data visualization techniques and best practices.
• Ability to translate complex data into clear, actionable insights.
• Strong problem-solving skills and attention to detail.
• Excellent communication skills to collaborate effectively with cross-functional teams.

Personal Attributes:

• Attention to details with a results-driven mindset in a deadline-driven environment.
• Ability to break down complex problems, identify patterns, and derive insights from large data sets
• Strong focus on data accuracy and quality
• Ability to tackle challenges and find practical, data-driven answers to business questions
• Excellent verbal and written communication skills
• Experience in software engineering and telecom industry (preferred)