Data Analytics Specialist

SynerData; Faro; Hybrid; EUR 12,000 - 14,000; Part time

Benefits offered by this job

Part-time role

Accommodation near workplace

Visa sponsorship

Flight reimbursement

Job summary

SynerData is seeking a Data Analytics Specialist to collect, analyze, and interpret large datasets, identifying trends to inform business decisions. The role requires strong analytical skills, attention to detail, and the ability to communicate complex findings clearly.

Ideal candidates have a Bachelor's degree in data-related field, 2+ years in analytics, and proficiency with SQL, Python or R, plus experience with Tableau or Power BI.

Qualifications

• Bachelor's degree in data-related field.
• 2+ years in data analytics.
• Proficiency in SQL, Python/R.
• Experience with Tableau/Power BI.

Responsibilities

• Collect, clean, and organize large datasets.
• Analyze data using statistical methods and ML techniques.
• Create visualizations and dashboards to communicate insights.
• Identify patterns and trends to drive business decisions.
• Collaborate with cross-functional teams to understand business needs.
• Develop predictive models to forecast future trends or outcomes.
• Stay current with industry trends in data analytics and recommend new tools or techniques.

Skills

Data analysis

Statistical methods

Machine learning

Communication

SQL

Python

R

Education

Bachelor's degree

Tools

Tableau

Power BI

Job description

Data Analytics Specialist

Data Analytics Specialist will be responsible for collecting, analyzing, and interpreting large datasets to identify trends and insights that will inform business decisions. This role requires strong analytical skills, attention to detail, and the ability to communicate complex data findings in a clear and concise manner. The ideal candidate will have experience with data mining and visualization tools, as well as the ability to work independently and collaboratively with cross-functional teams.

Key Responsibilities

• Collect, clean, and organize large datasets from various sources
• Analyze data using statistical methods and machine learning techniques
• Create visualizations and dashboards to communicate insights to stakeholders
• Identify patterns and trends in data that can drive business decisions
• Collaborate with cross-functional teams to understand business needs and provide data-driven recommendations
• Develop predictive models to forecast future trends or outcomes
• Stay current with industry trends in data analytics and recommend new tools or techniques for improved analysis

Requirements

• Bachelor's degree in Data Science, Mathematics, Statistics, Computer Science or related field
• 2+ years of experience in data analytics or related field
• Proficiency in SQL, Python/R or other programming languages for data manipulation and analysis
• Experience with data visualization tools such as Tableau or Power BI
• Knowledge of statistical methods such as regression analysis, clustering, etc.
• Familiarity with machine learning techniques (e.g. decision trees, random forests)
• Strong analytical skills with the ability to interpret complex datasets
• Excellent communication skills with the ability to present findings in a clear and concise manner

Benefits

• Competitive salary of $1300 per month (part-time)
• Accommodation provided near workplace
• Free visa sponsorship
• Flight ticket reimbursement