Junior HR Data Analyst

Baku, Baku, Azerbaijan

Apply now Apply later

  • Collect, compile and analyze HR data, metrics, and statistics;
  • Maintain HR data quality in the platform;
  • Look and compare existing data with the external statistics and benchmarks;
  • Carry out basic statistical analysis, identify trends and make recommendations based on data analysis;
  • Draft business review narratives and additional deep dive findings where needed;
  • Support HR projects, including survey design and analysis, to gather employee data for engagement, satisfaction, offboarding and onboarding analytics.
  • Develop and maintain dashboards, reports, and presentations to communicate findings to the HR team and management.

Requirements

  • 1+ years of experience in data, experience in HR or business data analytics is an advantage;
  • Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy;
  • Solid problem-solving skills;
  • Ability to create detailed spreadsheets, charts and presentations;
  • Familiarity with database technologies and tools, data warehousing, transformation, and processing;
  • Good research abilities;
  • Proficient with Microsoft Office Suite;
  • Experience with data visualization tools such as Power BI, Tableau, or QlikView is a plus.
  • Fluency in Azerbaijani, English, Russian is a plus.
Apply now Apply later
  • Share this job via
  • or

* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Job stats:  2  0  0
Category: Analyst Jobs

Tags: Data analysis Data Analytics Data quality Data visualization Data Warehousing Power BI QlikView Research Statistics Tableau

Region: Asia/Pacific
Country: Azerbaijan

More jobs like this

Explore more AI, ML, Data Science career opportunities

Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.