Data Analyst at PrideInn
PrideInn
- Kenya
- Permanent
- Full-time
- Maintain and analyse customer data from CRM systems (Zoho, ………….., etc.).
- Track sales activities, including lead generation, conversion rates, and client visits per sales executive.
- Generate monthly and ad-hoc sales performance reports, client engagement reports, and segment-wise business reports.
- Develop dashboards and visualizations for management reporting and decision-making.
- Conduct continuous market research to identify:
- Upcoming conferences, AGMs, sports, corporate, and government events.
- Key decision-makers and potential corporate leads across Kenya.
- Monitor competitors' activities, client behaviour trends, and missed business opportunities.
- Ensure the CRM system (Zoho) is up-to-date and accurately reflects client interactions and visits.
- Use GPS-enabled tools to validate field visits by sales staff.
- Detect fake or duplicate quotations and flag anomalies in sales data.
- Track 250 assigned clients per sales executive to ensure quarterly engagement and relationship management.
- Generate alerts and reminders to sales staff and GMs regarding clients that haven't been contacted or visited.
- Coordinate with GMs, Sales Managers, and Relationship Managers to follow up on inactive accounts and missing client visits.
- Send automated or manual prompts to staff on pending tasks and underperformance.
- Provide actionable insights for strategic decision-making.
- Contribute to the refinement of SOPs and sales team structures.
- Recommend data-driven strategies to increase revenue and market coverage.
- Bachelor's Degree in Data Science, Statistics, Computer Science, Business Analytics, or related field.
- Minimum 2-4 years of experience in data analysis, preferably in the hospitality or service industry.
- Proven experience using CRMs (especially Zoho), Excel, and BI tools (e.g., Power BI, Tableau).
- Demonstrated knowledge in data mining, visualization, and storytelling.
- Strong analytical and problem-solving skills.
- High attention to detail and data integrity.
- Ability to synthesize large data sets into meaningful business insights.
- Excellent written and verbal communication skills.
- Self-driven, proactive, and highly organized.
- Familiarity with AI tools, market intelligence platforms, and GPS tracking technology.
- Experience Length: 2 Years
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