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Data Analyst Assistant

@Winas Sacco posted 2 weeks ago
  • Embu, Kenya, 696 View on Map
  • Post Date : September 1, 2025
  • Salary: Ksh20,000.00 - Ksh100,000.00 / Monthly
  • 1 Application(s)
  • View(s) 26
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Job Detail

  • Job ID 4400
  • Offered Salary  1000
  • Career Level  Others
  • Experience  2 Years
  • Gender  Both
  • Industry  IT/Telcom
  • Qualifications  Diploma/Degree/Masters
  • State  Embu
  • City  Embu

Job Description

Data Analyst Assistant – REF: WSL/05/2025/DAA

JOB TITLE:

DEPARTMENT:

LOCATION:

REPORTS TO:

JOB GRADE:

 Data Analyst  Assistant

Credit

Head Office

Credit Officer

2A- 2D

 JOB SUMMARY

We are seeking a skilled and detail-oriented Data Analyst to collect, process, and perform statistical analyses on large datasets to help inform business decisions. The ideal candidate will have a strong analytical mindset, proficiency in data tools and techniques, and the ability to translate complex data into actionable insights for stakeholders.

Duties and responsibilities: Data Analyst Assistant

  • Collect, clean, and validate data from various internal and external sources
  • Analyze data using statistical methods to identify trends, patterns, and insights
  • Develop dashboards, reports, and visualizations to communicate findings
  • Collaborate with teams across departments to understand data needs
  • Monitor key performance indicators (KPIs) and generate regular reports
  • Provide recommendations based on data to support strategic planning
  • Use tools such as SQL, Excel, Python, R, Power BI, or Tableau for data analysis
  • Maintain databases and ensure data integrity and accuracy
  • Assist in the design and implementation of data collection systems
  • Stay up-to-date with industry trends and best practices in analytics

KEY QUALIFICATIONS AND COMPETENCIES

Academic Qualifications

Experience:

  • 2 to 3 years proven experience as a Data Analyst or in a similar analytical role
  • Experience with big data platforms and cloud services (e.g., AWS, Azure, Google Big Query)
  • Experience with statistical programming languages (e.g., Python, R)

Skills and Competencies

  • Proficiency in SQL and data visualization tools (e.g., Power BI, Tableau)
  • Strong analytical and problem-solving skills
  • Excellent attention to detail and organizational skills
  • Strong communication skills to explain data insights to non-technical audiences
  • Ability to work independently and manage multiple projects simultaneously
  • Knowledge of machine learning and predictive analytics (a plus)

How to Apply

Interested qualified candidates are invited to submit their Application and Curriculum Vitae indicating full contact details of three professional referees through Winas DT. Sacco website on the link https://winassacco.com/careers, not later than 23rd May 2025 at 5.00pm. Please note all applications are strictly online. 

Winas DT. Sacco society does not, and will never solicit money for any part of its recruitment processes including short-listing, interviews, background checks, and /or medical checkups. Only shortlisted candidates will be contacted.

 

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