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Data Analyst

Helprise

Warszawa

Hybrid

PLN 100,000 - 120,000

Full time

Today
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Job summary

A leading outsourcing and consultancy firm in Poland is seeking an experienced Data Analyst. In this role, you will conduct advanced statistical analyses, prepare data, and create insightful reports for business stakeholders. The ideal candidate has at least 4 years of relevant experience and proficiency in statistical programming. The position offers flexible work arrangements and a comprehensive benefits package.

Benefits

Flexible Work Arrangements
Contract Flexibility
Sport Card Benefit
Private medical care
Life Insurance
Employee Referral Program

Qualifications

  • Minimum 4 years of experience in data analysis.
  • Ability to independently conduct regression and time series analyses.
  • Experienced in both structured and unstructured databases.

Responsibilities

  • Preparing and structuring data for analysis.
  • Conducting advanced statistical analyses.
  • Creating reports and dashboards for stakeholders.
  • Identifying trends to support decision-making.
  • Ensuring data accuracy and consistency.
  • Collaborating with project teams to meet analytical needs.

Skills

Data analysis
Statistical analysis
Regression modeling
Time series analysis
Attention to detail
Data storytelling
Collaboration
VBA
R
Python

Education

Higher education degree in relevant field
Job description
Overview

Join Helprise – one of the fastest growing outsourcing and consultancy firms providing the best talent, know-how and solutions for the execution of business processes. Be part of building an ecosystem that gives unique value to our customers, partners, candidates and employees. We are your career advocates – offering extraordinary opportunities to grow with us, by supporting top global brands in their development of business and technology services internationally.

Responsibilities
  • Preparing and structuring data – Collecting, cleaning, and transforming raw data into a structured format for analysis.
  • Conducting advanced statistical analyses – Performing regression modeling, time series analysis, and other quantitative methods to uncover trends and patterns.
  • Creating reports and dashboards – Developing clear and concise visual presentations of data insights for business stakeholders.
  • Identifying trends and providing insights – Supporting strategic decision-making through data-driven recommendations.
  • Ensuring data accuracy and consistency – Monitoring data quality and troubleshooting inconsistencies to improve reporting reliability.
  • Collaborating with project teams – Working closely with internal teams and clients to understand analytical needs and provide solutions.
Requirements
  • A higher education degree (preferably in economics, business analytics, statistics, work psychology, or quantitative social sciences).
  • Minimum 4 years of experience in data analysis.
  • Ability to independently conduct regression and time series analyses.
  • Proficiency in spoken and written English.
  • Experience working with both structured and unstructured databases.
  • Strong attention to detail and ability to manage multiple projects simultaneously.
  • Ability to craft compelling data-driven narratives and present insights clearly.
  • Capability to work independently while also effectively collaborating with teams and clients.
  • Proficiency in VBA, R, or Python programming – will be an asset.
Benefits
  • Flexible Work Arrangements: Offer adaptable schedules to maintain work-life balance.
  • Contract Flexibility: Meet individual preferences with multiple contract models, including employment contract and B2B agreements.
  • Sport Card Benefit: Encourage fitness and wellness with access to multiple sports facilities.
  • Private medical care: Prioritize employee health with private world-class medical care.
  • Life Insurance: Ensure financial security and preparedness for the future with a robust life insurance plan.
  • Employee Referral Program: Recognize talent acquisition contributions with a rewarding referral program.
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