Chioma
Data Analyst
Skills
7 days ago
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Important information
Contract type:
Permanent
Location:
Anambra, Nigeria
Work mode:
Onsite
Published on:
16 October 2026
What they need
We are looking for a detail-oriented, analytical, and results-driven Data Analyst to support the Channel (Sales) team by turning raw sales and distribution data into actionable insights. The ideal candidate will be responsible for collecting, cleaning, analyzing, and reporting channel sales data from retail partners, distributors, and field teams to support decision-making and drive channel performance.This role requires a strong understanding of data analysis, reporting tools, sales performance tracking, and collaboration with channel sales teams.
Key Responsibilities
- Collect, clean, and analyze channel sales data, including retail sell-out, distributor stock, and field team reports.
- Develop and maintain dashboards and reports that track sales performance against targets and KPIs for the channel team.
- Monitor and evaluate channel partner performance and provide regular insights and recommendations.
- Support the channel sales team in preparing weekly, monthly, and quarterly performance reports.
- Analyze product performance, stock movement, and market trends to identify growth opportunities and potential risks.
- Work closely with the channel team to understand data requirements and provide timely, accurate support.
- Track competitor pricing, product availability, and channel activities using sales and market data.
- Identify data quality issues in reports submitted by channel partners and field teams, and recommend improvements.
- Use CRM and other systems to maintain accurate records of channel sales activities and performance.
- Support demand planning and forecasting by analyzing historical sales data and market trends.
- Collaborate with IT, sales, and operations teams to automate and improve data collection and reporting processes.
- Present insights and findings to stakeholders in a clear and actionable format.
- Ensure all data and reports align with TranESS’s business standards and data governance policies.
Requirements
- Bachelor’s degree in Statistics, Mathematics, Economics, Computer Science, Business Administration, Data Science, or a related field.
- Minimum of 1–3 years of relevant experience in data analysis, sales analysis, business intelligence, or a related role.
- Experience in renewable energy, consumer electronics, FMCG, telecommunications, or related industries is an added advantage.
- Strong knowledge of data analysis tools such as Microsoft Excel (advanced), SQL, or data visualization tools (Power BI, Tableau, or Looker Studio).
- Hands-on experience building dashboards and preparing reports for sales or channel teams.
- Good understanding of sales performance metrics, KPIs, and channel/distribution data.
- Strong analytical, critical thinking, and problem-solving skills.
- Ability to interpret data, identify trends, and make recommendations based on insights.
- Excellent attention to detail and ability to work with large datasets.
- Good communication and presentation skills, with the ability to explain data insights to non-technical stakeholders.
- Ability to work independently and manage deadlines in a fast-paced environment.
- Good knowledge of CRM systems and sales reporting is an advantage.
Key Competencies
- Data collection and analysis
- Sales performance analysis
- Dashboard and report development
- Data visualization and storytelling
- Attention to detail
- Business intelligence and reporting
- Critical thinking and problem-solving
- Stakeholder management
- Collaboration with cross-functional teams
- Result orientation
Preferred Skills
- Experience working with sales or channel teams to provide data support.
- Basic knowledge of renewable energy or solar products is an advantage.
- Proficiency in Power BI, Tableau, or Looker Studio.
- Knowledge of SQL for querying and analyzing sales databases.
- Experience using CRM systems (e.g., Salesforce, Zoho, HubSpot) is an added advantage.
Job Type: Full-time
Work Location: In person
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