Data & Analytics Consultant (German Language)

SoftServe

Town of Poland (NY)

On-site

USD 80,000 - 120,000

Full time

14 days+

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Job summary

SoftServe is seeking a Business Analyst in Poland, NY, to lead analytics projects. You'll identify business goals, facilitate workshops, and translate business needs into actionable insights, all while collaborating with technical teams.

Ideal candidates will have strong experience in data-driven environments, proven leadership skills, and proficiency in both English and German. This position is crucial for driving impactful business solutions.

Qualifications

  • Strong experience in data-driven environments as a Business Analyst or similar role.
  • Practical background in analytics, BI, and digital transformation initiatives.
  • Proven ability to lead discovery and pre-sales activities.

Responsibilities

  • Lead discovery activities to identify business goals and solution opportunities.
  • Facilitate workshops and requirements sessions with stakeholders.
  • Support pre-sales initiatives through discovery workshops and proposal preparation.

Skills

Business Analyst experience
Analytics and BI background
Stakeholder management
Process modeling
Problem-solving skills
English proficiency
German proficiency

Job description

About The Role

In this role, you will help organizations unlock business value from data, analytics, and AI initiatives. As part of SoftServe's Data & Analytics Center of Excellence, you will lead discovery activities, shape solution vision, and bridge business and technical teams to deliver impactful, data-driven outcomes for global clients.

Responsibilities
  • Lead discovery activities to identify business goals, stakeholder needs, data challenges, and solution opportunities
  • Facilitate workshops, interviews, and requirements sessions with business and technical stakeholders
  • Translate business needs into user stories, process flows, requirements, acceptance criteria, and AI use case definitions
  • Define KPIs, reporting needs, business rules, data mappings, and success metrics for analytics and AI solutions
  • Collaborate with product owners, architects, engineers, BI developers, and QA teams to ensure successful delivery
  • Support pre-sales initiatives through discovery workshops, solution scoping, estimation, and proposal preparation
  • Analyze business processes and identify opportunities for improvement through data, analytics, automation, and AI
  • Maintain project documentation and support backlog refinement, prioritization, testing, and stakeholder alignment
Requirements
  • Strong experience as a Business Analyst, Data Business Analyst, Analytics Consultant, or similar role in data-driven environments
  • Practical background in analytics, BI, reporting, data platforms, AI/ML, or digital transformation initiatives
  • Advanced experience with requirements elicitation, stakeholder management, workshop facilitation, and process modeling
  • Proven ability to lead discovery and pre-sales activities, including solution definition and effort estimation
  • Good understanding of data concepts, including KPIs, dashboards, data quality, data mapping, and ETL/ELT processes
  • Familiarity with AI and Generative AI concepts, including LLM-based assistants, automation, and recommendation systems
  • Strong consulting, analytical, communication, and problem-solving skills in client-facing environments
  • Upper-Intermediate or higher English and German proficiency for workshops, documentation, and stakeholder communication
Leadership Focus

This is a leadership role where you will drive impact in two main directions:

  • Leading People: Hire and onboard talent, build trust and inclusion, set clear priorities, coach growth, deliver results, and lead change aligned to our values.
  • Leading Business: Deliver client value through business understanding, market and financial insight, global collaboration, and continuous improvement.

SoftServe is an equal opportunity employer. Qualified applicants will receive consideration regardless of race, color, ancestry, ethnicity, national origin, religion, sex, sexual orientation, gender identity or expression, age, citizenship, disability, health condition, marital or family status, veteran status, or any other characteristic protected by applicable law.

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