BASF

Data Business Analyst

BASF

full-time

Posted on:

Location Type: Hybrid

Location: Montevideo • 🇺🇾 Uruguay

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Job Level

Mid-LevelSenior

Tech Stack

SDLCSQL

About the role

  • Understand and document requirements, leveraging advanced knowledge of Data Analysis, Data Modeling, internal data availability and SDLC, to recommend immediate solutions or next steps.
  • Identify, gather and document the requirements of active or interested users or products across the organization.
  • Analyze user/team requirements vis-a-vis knowledge of the technology landscape, including those already available in-house and on the public market; work with Team members to solve use-cases with existing tools.
  • Evaluate feasibility (e.g. Data availability/needs, technical constraints, etc.) and potential impact; work with broader Team to translate high-level requirements into data & technical specifications.
  • Work closely with the respective product teams and the data modelling team in defining and developing the data needs & data mapping, data analysis, supporting in data modelling and documentation.
  • Communicate technical concepts and work progress to non-technical stakeholders clearly and concisely; act as a continuous bridge between technical and non-technical stakeholders to ensure alignment and understanding.
  • Stay up to date on the latest technological advancements and applications; brainstorm and conduct self-experiments to discover solutions for known use-cases.
  • Collaborate with the Team members to develop clear, comprehensive reports and presentations for key stakeholders.

Requirements

  • Degree in Business, Computer Science, Data Science or related careers with further education in IT/ Digitalization.
  • 3-5 years of proven experience in a consulting role with exposure to user needs analysis / documentation, software development and/or market research.
  • Experience working with external vendors or partners.
  • Experience working in data related projects is highly valued.
  • Advanced level in English.
  • Advanced skills in data driven projects, strong understanding of various data domains, data analysis and data modeling.
  • Advanced skills with concepts, tools, and applications, particularly in the field of data analysis and modeling.
  • Experience working with SQL.
  • Advanced skills in analytical and problem-solving, with the ability to dissect complex issues and propose practical solutions.
Benefits
  • A hybrid and flexible working model
  • A professional development program tailored to your interests and needs
  • Private health insurance for you and your family from your first day in the company and life insurance
  • Flexible leave days in addition to your statutory leave
  • The possibility of remote work from abroad for up to 6 weeks a year
  • A free day on your birthday
  • Wellness benefits, such as nutrition services and in-company massages.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
Data AnalysisData ModelingSDLCSQLData MappingData DocumentationData Driven ProjectsAnalytical SkillsProblem-Solving
Soft skills
CommunicationCollaborationUser Needs AnalysisStakeholder Management