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Technical Writer Data Analyst Jobs in Wisconsin (NOW HIRING)

WI · On-site

... technische oplossingen worden afgestemd op zakelijke behoeften en strikte data governance en ... Data Analysis & Troubleshooting Onderzoeken en oplossen van datadiscrepanties, inclusief mainframe ...

Data Analyst Corporate Headquarters 12575 Uline Dr. Pleasant Prairie, WI 53158 Ready to make a real ... Adept at creating queries, writing reports and presenting findings. * Strong SQL skills a must.

Data Analyst Corporate Headquarters 12575 Uline Dr. Pleasant Prairie, WI 53158 Ready to make a real ... Adept at creating queries, writing reports and presenting findings. * Strong SQL skills a must.

Business Data Analyst

Milwaukee, WI · On-site +1

$55K - $120K/yr

Profile, validate, and analyze data by writing SQL queries against source systems and the Insights ... Facilitate stakeholder meetings, present findings, and produce documentation tailored to technical ...

Business Data Analyst

Milwaukee, WI · On-site

$55K - $120K/yr

Profile, validate, and analyze data by writing SQL queries against source systems and the Insights ... Facilitate stakeholder meetings, present findings, and produce documentation tailored to technical ...

Technical expertise regarding data models, database design development, data mining and ... Adept at queries, report writing and presenting findings. About our company Our team values ...

WI · On-site

$78K - $99K/yr

Collaborate with technical teams, project managers, workstream sponsors, and business stakeholders ... Bachelor's degree (BA/BS) in Data Analytics, Computer Science, Information Systems, Mathematics ...

Senior Data Analyst

Oak Creek, WI · On-site

$82K - $103K/yr

Technical Skills * Advanced proficiency with BI and data visualization tools (e.g., Power BI, Tableau). * Strong SQL skills and experience with large datasets. * Proficient in analytical and ...

WI · On-site

Ability to communicate findings clearly to both technical and non-technical stakeholders. * Self ... Exposure to Python, R, or other data analysis tools. * Experience working in a fast-paced or cross ...

New

Senior Data Analyst

Oak Creek, WI · On-site

$82K - $103K/yr

Technical Skills * Advanced proficiency with BI and data visualization tools (e.g., Power BI, Tableau). * Strong SQL skills and experience with large datasets. * Proficient in analytical and ...

Senior Data Analyst

Oak Creek, WI · On-site

$82K - $103K/yr

Technical Skills * Advanced proficiency with BI and data visualization tools (e.g., Power BI, Tableau). * Strong SQL skills and experience with large datasets. * Proficient in analytical and ...

Senior Data Analyst

Oak Creek, WI · On-site

$82K - $103K/yr

Technical Skills * Advanced proficiency with BI and data visualization tools (e.g., Power BI, Tableau). * Strong SQL skills and experience with large datasets. * Proficient in analytical and ...

WI · On-site

We help companies connect, protect, analyze, and act on their data and applications wherever they ... The Technical Writers on the PACE team strive for this goal daily by: * Putting teamwork first. We ...

New

Senior Data Analyst

Milwaukee, WI · Hybrid

$84K - $106K/yr

Technical Skills and Requirements * Proficiency in Excel, SQL, R, Python, and familiarity with BI tools like Tableau or PowerBI. * Strong data collection, quality assurance, and analytical skills to ...

Showing results 41-60

Technical Writer Data Analyst information

What is a technical writer data analyst?

Technical Writer Data Analysts are professionals who combine expertise in data analysis with strong communication skills to create clear, accurate documentation about data processes, findings, and tools. They often interpret complex data, generate reports, and explain analytical results in a way that is accessible to technical and non-technical audiences. Their work bridges the gap between data experts and stakeholders, ensuring that data-driven insights are well-understood and actionable. These specialists may also create user guides, data dictionaries, and help documentation for analytics tools or systems.

What are the key skills and qualifications needed to thrive as a technical writer data analyst?

To thrive as a Technical Writer Data Analyst, you need strong analytical skills, proficiency in data interpretation, and excellent written communication, typically backed by a degree in a relevant field such as technical writing, data science, or computer science. Familiarity with data visualization tools (like Tableau or Power BI), data analysis software (such as SQL or Python), and documentation management systems is commonly required. Attention to detail, the ability to translate complex data into clear documentation, and strong collaboration skills set top performers apart. These competencies ensure that technical information is accurately conveyed to diverse audiences, supporting informed decision-making and process efficiency.

How do technical writer data analysts typically balance documentation tasks with data analysis responsibilities in their daily workflow?

Technical Writer Data Analysts often split their time between creating clear, user-friendly documentation and performing data analysis tasks, such as generating reports or interpreting data trends. Balancing these responsibilities requires effective time management and prioritization, as they may need to collaborate closely with engineers, data scientists, and product managers to ensure accuracy and relevance in both areas. Many organizations support this by providing collaborative tools and regular cross-functional meetings. This dual focus not only sharpens communication skills but also deepens technical expertise, making it a great role for those who enjoy variety and teamwork.

What is the difference between Technical Writer Data Analyst vs Data Scientist?

AspectTechnical Writer Data AnalystData Scientist
Required SkillsData analysis, technical writing, communicationAdvanced statistical, programming, and modeling skills
CertificationsData analysis certifications, technical writing coursesData science certifications, programming certifications
Work EnvironmentTech companies, consulting firms, documentation teamsResearch labs, tech firms, finance, healthcare
Primary FocusCreating clear documentation and reports from dataDeveloping predictive models and data-driven solutions

The main difference is that Technical Writer Data Analysts focus on translating complex data into understandable documentation, while Data Scientists develop models and algorithms to analyze data. Both roles require strong analytical skills, but Data Scientists typically have more advanced programming and statistical expertise. The choice depends on whether you prefer communicating data insights or building data models.

Are technical writers still in demand?

Technical writers, including data analysts who create clear documentation and reports, are in steady demand due to the increasing need for clear communication of complex information across industries. Skills in tools like Markdown, XML, and content management systems enhance employability, and demand is expected to grow with ongoing technological advancements.

How much does a technical writer data analyst get paid?

The average salary for a technical writer data analyst ranges from $60,000 to $90,000 annually, depending on experience, location, and industry. Professionals with skills in data visualization, SQL, and documentation tools like Markdown or LaTeX tend to earn higher salaries.

Is a technical writer data analyst a high paying job?

A technical writer data analyst typically earns a competitive salary that varies based on experience, location, and industry. Combining skills in technical writing, data analysis, and tools like SQL or Excel can increase earning potential, with senior roles often paying higher wages.

What cities in Wisconsin are hiring for Technical Writer Data Analyst jobs?

Cities in Wisconsin with the most Technical Writer Data Analyst job openings:

Data Analyst (SRQ158159)

WI • On-site

Other

Posted 24 days ago


Job description

Als Data Analyst speelt u een cruciale rol in het ontwerpen, leveren en onderhouden van hoogwaardige dataoplossingen voor AML-processen, waarbij u zorgt voor compliance, efficiëntie en schaalbaarheid binnen de organisatie. U fungeert als brug tussen data providers (IT, Data Hub, Operations) en data gebruikers (AML/Compliance teams), waarbij technische oplossingen worden afgestemd op zakelijke behoeften en strikte data governance en kwaliteitsnormen worden gehandhaafd.

Uw kernverantwoordelijkheden omvatten:
  • Stakeholder Alignment & Communication
    Coördineren van input van IT, Data Hub, Compliance (CPL) en Operations, met afstemming via gestructureerde documentatie, workshops en duidelijke communicatie.
    Vertalen van complexe zakelijke vereisten naar uitvoerbare dataoplossingen, met balans tussen technische haalbaarheid en regelgevende en operationele behoeften.
  • Data Governance & Quality
    Opzetten en handhaven van data governance kaders, inclusief roldefinities, kwaliteitsregels en toegangsprotocollen, in samenwerking met data providers en gebruikers.
    Proactief monitoren, verfijnen en escaleren van datakwaliteitsproblemen om de integriteit van AML-gerelateerde datasets te waarborgen.
  • Data Analysis & Troubleshooting
    Onderzoeken en oplossen van datadiscrepanties, inclusief mainframe-gebaseerde datapunten.
    Analyseren van AML Transaction Monitoring data om patronen, hiaten of anomalieën te identificeren die compliance of operationele efficiëntie beïnvloeden.
  • Solution Design & Industrialization
    Ontwerpen van logische en fysieke datamodellen (zoals datawarehouses, datamarts) geoptimaliseerd voor AML-rapportage en analytics.
    Ontwikkelen en industrialiseren van datapijplijnen voor naadloze dataflow en toegankelijkheid.
    Prototypen van oplossingen om zakelijke vereisten te valideren en ontwerpen te verfijnen.
  • Process Optimization
    Optimaliseren van data workflows om herbruikbaarheid en efficiëntie te maximaliseren, met vermindering van redundantie en handmatige interventies.
    Bepleiten van best practices in data security, architectuur en compliance, in lijn met IT- en risicomanagementstandaarden.
  • Minimaal een masterdiploma in een kwantitatieve discipline zoals statistiek, wiskunde of engineering (andere academische achtergronden met substantiële analytische kennis worden ook aangemoedigd).
  • Minimaal 5 jaar relevante ervaring in Data Analytics, waarvan 2-6 jaar hands‑on ervaring met AML-processen of financiële criminaliteitspreventie.
  • Vaardigheid in SQL en data modelleringstools (zoals PowerDesigner of equivalent).
  • Bekendheid met Agile-methodologieën en projectmanagementtools (JIRA, Agile Central) is een pluspunt.
  • Diepgaande kennis van bankdata, met name AML Transaction Monitoring data (CAT datapoints: klant, rekening, transactie attributen).
  • Vermogen om functionele en niet-functionele vereisten voor dataoplossingen vast te leggen, documenteren en beheren.
  • Kennis van data security, IT business architectuur en financiële dienstverlening.
  • Hands‑on ervaring met datakwaliteitskaders, inclusief regeldefinitie, monitoring en issue‑escalatie.
  • Vaardigheid in het coördineren van input van meerdere stakeholders via gestructureerde documentatie, workshops en duidelijke communicatie (projectmanagementvaardigheden).
  • Proactieve en ondernemende instelling, in staat om initiatieven zelfstandig te leiden en samen te werken met verschillende teams.
  • Sterke analytische en probleemoplossende vaardigheden, met aandacht voor detail en een kwaliteitsgerichte aanpak.
  • Uitstekende communicatievaardigheden in het Nederlands, Frans en Engels om technische en niet-technische stakeholders te betrekken.
  • Aanpassingsvermogen en leergierigheid, met het vermogen strategische doelen te verbinden aan operationele uitvoering.
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