Senior Data Analyst
AI summary
A confidential client is hiring a Senior Data Analyst in Nairobi to drive business performance through actionable insights, BI dashboards, and improved reporting. The role involves cross-functional collaboration with Sales, Marketing, Operations, and Finance to enhance data accuracy and support strategic decision-making.
- Design and maintain BI dashboards for real-time decision-making
- Improve lead tracking, attribution models, and conversion analysis
- Support pricing, sales, and marketing with data-driven insights
- Collaborate across Sales, Marketing, Operations, and Finance
- Requires BI tools, SQL/Excel, and strong analytical skills
AI job guide
Use this guide to check salary signals, requirements, documents, application steps and safety before you apply.
AI salary guide
Not enough public dataNot enough public salary data is available for this exact role. Before applying, prepare to ask about gross pay, benefits, contract length, probation period, transport and any allowances.
Can you qualify for this role?
- UnclearRelated work experienceThe text mentions experience, but the exact level should be confirmed at source.
- RequiredEducation or certification mentioned in the postThe captured text mentions education, a diploma, certificate, or licence.
- PreferredPractical evidence in sales, technology, financeThe tags and summary point to skills connected with this role.
- RequiredAvailability to work in NairobiThe vacancy is associated with this location.
- UnclearComfort with the Full Time contract termsConfirm hours, duration, probation and benefits at the original source.
Documents to prepare
- Likely requiredUpdated CV
- Role specificCover letter or short employer message
- OptionalProfessional references
- Role specificAcademic or professional certificates
- VerifyID or passport only after verifying the employer
Application tips for this job
- Place your strongest Senior Data Analyst evidence in the first half of your CV.
- In your cover letter or employer message, connect your experience to BrighterMonday Consulting and the role in Nairobi.
- Add concrete examples related to sales, technology, finance, ideally with measurable outcomes or clear responsibilities.
- Follow the instructions from BrighterMonday Kenya; avoid sending documents to unofficial contacts or copied links.
- Confirm the deadline, interview location and employer contact before sharing personal documents.
- Prepare a polite question about pay, benefits and contract terms for later interview stages.
Source and safety check
- BrighterMonday Kenya
- Original source link available
- Application method is clear
- Deadline not specified
- No major risk signal was detected in the captured text.
Never pay for interviews, shortlisting, medical checks, uniforms, or job placement. Confirm every application at the original source before sharing personal documents. Report suspicious listing.
Interview preparation
- What experience makes you a strong fit for this Senior Data Analyst role in sales, technology?
- How have you handled responsibilities similar to those in this job post?
- Are you available to work in Nairobi under the listed contract or schedule?
- Prepare examples with clear responsibilities, tools used and measurable outcomes.
- Review the source and research BrighterMonday Consulting before the interview.
Ask what the first priorities will be in the role and how success will be measured.
Similar jobs to consider
Use AI to apply better
After confirming the original source, use Career Assistant to check role fit, tailor your CV and prepare a cover letter or employer message.
Original source description
Our client is seeking a highly analytical and detail-oriented Senior Data Analyst to support their transition into a data-driven marketplace group. This role will be instrumental in driving business performance across all regions by delivering actionable insights, enhancing reporting capabilities, and improving data accuracy and accessibility.
Key
Responsibilities
- Design, develop, and maintain Business Intelligence (BI) dashboards across multiple platforms to support real-time decision-making.
- Build and implement robust reporting and analytics frameworks to track and evaluate overall business performance.
- Improve lead tracking systems, attribution models, and conversion analysis to enhance marketing and sales effectiveness.
- Provide data-driven insights to support pricing strategies, sales optimization, and marketing initiatives.
- Implement and continuously improve SEO performance tracking and digital analytics tools to measure online visibility and engagement.
- Collaborate cross-functionally with teams including Sales, Marketing, Operations, and Finance to ensure data accuracy, consistency, and usability.
- Identify trends, patterns, and opportunities for growth through data analysis and reporting.
- Ensure data integrity by establishing best practices in data collection, validation, and reporting processes.
Requirements
- Bachelor’s degree in Data Science, Statistics, Economics, Business Analytics, or a related field.
- Proven
Experience
- Strong proficiency in BI tools (e.g., Power BI, Tableau, or similar) and data visualization techniques.
- Strong understanding of data modeling, data warehousing, and reporting frameworks.
- Advanced proficiency in Excel and/or SQL; knowledge of Python or R is an added advantage.
- Strong analytical thinking, problem-solving skills, and attention to detail.
- Excellent communication skills with the ability to translate data into actionable insights for non-technical stakeholders.
- Data-driven decision making
- Strategic thinking
- Cross-functional collaboration
- Attention to detail
- Continuous improvement mindset