Job Description

Job Advert Summary

Rugani Juice is seeking an experienced Data Analyst with expertise in business intelligence, data modelling, and analytics (Power BI, SQL, Excel). The role involves collecting, validating, and interpreting large datasets to deliver insights, forecasts, and strategic recommendations. Key responsibilities include building dashboards, automating reporting, ensuring data governance, and supporting sales, marketing, and operations with data-driven strategies. The ideal candidate combines technical proficiency with business acumen to drive performance and efficiency in a fast-paced FMCG environment.

Minimum Requirements

Qualifications & Experience

--------------------------------


Degree/Diploma in Data Analytics, Statistics, Computer Science, Business, or related field. Proven experience in a Data Analyst role, ideally within [industry/FMCG/retail]. Experience with data modelling, reporting, and business intelligence tools. Familiarity with CRM/ERP systems is advantageous.

Key Skills & Attributes

----------------------------


Strong analytical and problem-solving skills with attention to detail. Proficiency in Excel and data visualization tools (e.g., Power BI). Excellent written and verbal communication skills for non-technical audiences. Ability to manage multiple projects, deadlines, and priorities. Resilient, adaptable, and results-driven with strong business acumen. Leadership qualities, including mentoring and guiding team members. Ethical and responsible approach to data management and privacy.

Duties and Responsibilities

Data Analysis & Insights

Collect, clean, and analyse data from internal and external sources. Build and validate models to describe past performance, track trends, and forecast future outcomes. Identify patterns and deliver actionable insights to improve business performance. Support sales attribution and market insights through integrated data models.

Reporting & Visualization

Develop and maintain dashboards, visualizations, and reports (tabular and graphical) using Excel, Power BI, or similar tools. Conduct survey analysis and present findings in a clear, accessible format. Design and manage the reporting environment, ensuring timely reporting schedules are met.

Collaboration & Stakeholder Support

Partner with business leaders and teams to gather requirements and deliver tailored insights. Work closely with sales, marketing, operations, and finance teams to support targeted campaigns and strategic planning. Facilitate communication between data teams and business users to resolve data issues.

Data Quality & Governance

Perform quality assurance checks and data validation on large datasets. Automate data validation and enhance data processes for efficiency. Contribute to the development of data governance practices and master data management.

Technical Expertise

Provide technical expertise in databases, data mining, and data cleansing. Troubleshoot reporting and database issues. Evaluate and implement new tools and software to improve data processes.

Leadership & Team Management

Lead and mentor a small team of data professionals. Oversee departmental project planning, milestones, and execution tracking. * Ensure confidentiality and ethical handling of sensitive company data.