What Jobs are available for Sales Metrics in Kenya?

• Assist in collecting, cleaning, and organizing large datasets related to e-commerce sales, website traffic, and customer behavior.
• Perform basic data analysis to identify trends, patterns, and insights related to product performance, marketing campaigns, and customer segmentation.
• Generate reports and visualizations to communicate findings to the team.
• Support the analytics team in tracking key performance indicators (KPIs) for e-commerce operations.
• Learn and apply various data analysis techniques and tools.
• Contribute to ad-hoc data requests and projects as needed.
• Maintain data integrity and ensure accuracy in reporting.
• Collaborate with team members in a remote setting, participating in virtual meetings and discussions.
• Assist in documenting data analysis processes and methodologies.
• Gain practical experience in the e-commerce industry and data analytics field.

• Currently pursuing or recently completed a Bachelor's degree in Data Science, Statistics, Mathematics, Economics, Computer Science, or a related quantitative field.
• Foundational understanding of statistical concepts and data analysis principles.
• Familiarity with data analysis tools such as Excel, SQL, or basic programming languages (Python/R) is a plus.
• Strong analytical and problem-solving skills.
• Excellent attention to detail and accuracy.
• Good written and verbal communication skills.
• Ability to work independently and manage time effectively in a remote environment.
• Eagerness to learn and adapt to new technologies and methodologies.
• A passion for data and its application in business contexts.
• Prior experience with e-commerce data is a bonus but not required.

• Collect, clean, and analyze large volumes of e-commerce data from various sources, including website analytics, sales data, CRM, and marketing platforms.
• Develop and implement A/B testing strategies to optimize website performance, conversion rates, and customer journeys.
• Create comprehensive dashboards and reports using BI tools (e.g., Tableau, Power BI) to visualize key performance indicators (KPIs) and trends.
• Identify key drivers of customer acquisition, retention, and lifetime value.
• Provide actionable recommendations to marketing, product, and sales teams based on data-driven insights.
• Monitor market trends and competitor activities to identify new opportunities and potential threats.
• Develop predictive models for customer behavior, sales forecasting, and inventory management.
• Collaborate with cross-functional teams to define data requirements and ensure data integrity.
• Present complex analytical findings to stakeholders in a clear, concise, and compelling manner.
• Mentor junior analysts and contribute to the development of data best practices within the organization.
• Conduct deep-dive analyses into specific areas such as product performance, promotional effectiveness, and customer segmentation.
• Ensure data accuracy and consistency across all reporting and analytical outputs.

• Bachelor's or Master's degree in Statistics, Mathematics, Economics, Computer Science, or a related quantitative field.
• 5+ years of experience in data analysis, with a significant focus on e-commerce or digital marketing.
• Proficiency in SQL for data extraction and manipulation.
• Expertise in at least one statistical programming language (R or Python).
• Hands-on experience with web analytics tools like Google Analytics or Adobe Analytics.
• Strong experience with data visualization tools (e.g., Tableau, Power BI, Looker).
• Solid understanding of A/B testing methodologies and statistical significance.
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong communication and presentation skills, with the ability to translate complex data into business insights.
• Experience with data warehousing concepts and ETL processes is a plus.
• Proven ability to work independently and manage multiple projects in a remote setting.

• Assist in collecting and organizing e-commerce data from various sources.
• Perform data cleaning and validation to ensure accuracy and integrity.
• Support the analysis of website traffic, sales data, and customer behavior.
• Help in generating reports on key performance indicators (KPIs) for e-commerce operations.
• Identify basic trends and patterns in customer data.
• Assist in preparing presentations of analytical findings for relevant teams.
• Learn and utilize data analysis tools and software.
• Collaborate with senior analysts and team members on ongoing projects.
• Contribute to ad-hoc data analysis requests as needed.
• Maintain documentation for data processes and methodologies.

• Currently pursuing or recently completed a degree in Statistics, Mathematics, Economics, Computer Science, or a related quantitative field.
• Basic understanding of data analysis concepts and techniques.
• Proficiency in spreadsheet software (e.g., Microsoft Excel, Google Sheets).
• Strong analytical and problem-solving skills.
• Excellent attention to detail and accuracy.
• Eagerness to learn and adapt to new tools and technologies.
• Good communication skills, both written and verbal.
• Interest in e-commerce and digital marketing.
• Ability to work both independently and as part of a team.

• Collecting, cleaning, and organizing data from multiple e-commerce and social media channels.
• Performing in-depth analysis of customer behavior, sales trends, marketing campaign performance, and website analytics.
• Developing and maintaining dashboards and reports using business intelligence tools (e.g., Tableau, Power BI).
• Identifying key performance indicators (KPIs) and tracking progress towards business objectives.
• Conducting A/B testing and analyzing results to optimize website design, user journeys, and conversion rates.
• Providing data-driven recommendations to improve customer acquisition, retention, and lifetime value.
• Collaborating with marketing, product, and sales teams to understand their data needs and provide analytical support.
• Monitoring social media engagement metrics and analyzing campaign effectiveness.
• Forecasting sales trends and predicting customer demand based on historical data and market insights.
• Presenting findings and insights clearly and concisely to both technical and non-technical audiences.

• Bachelor's degree in Statistics, Mathematics, Economics, Computer Science, Marketing Analytics, or a related quantitative field.
• Minimum of 5 years of experience in data analysis, with a strong focus on e-commerce and digital marketing analytics.
• Proven experience with web analytics tools such as Google Analytics.
• Proficiency in SQL for data extraction and manipulation.
• Experience with data visualization tools (e.g., Tableau, Power BI, Looker) is essential.
• Strong understanding of statistical concepts and techniques.
• Experience with social media analytics platforms and reporting.
• Excellent problem-solving skills and attention to detail.
• Ability to communicate complex data insights effectively to diverse audiences.
• Demonstrated ability to work independently in a remote setting, managing multiple priorities and deadlines.
• Experience with Python or R for data analysis is a plus.

If you're here, it's because you're looking for an
exciting ride
.

A ride that will fuel up your ambitions to take on a
new challenge and stretch yourself beyond your comfort zone.
We'll deliver a
non-vanilla culture built on talent, where we work to amplify the impact on millions of people
, paving the way forward together.

Not your usual app
. We are the fastest-growing multi-category app connecting millions of users with businesses, and couriers, offering on-demand services from more than 170,000 local restaurants, grocers and supermarkets, and high street retail stores. We operate in more than 1500 cities across 23 countries.

Together we revolutionise the way people connect with their everyday needs, from delivering essentials to connecting our ecosystem of users through innovative solutions powered by technology. For us, every day is filled with purpose.

What makes our ride unique?
Our culture and strong values.
Our career development philosophy.
Our commitment to being a force for good.
We have a vision:
Building the largest marketplace in your city, to give access to anything in minutes
.
And this is where your ride starts.

YOUR MISSION
As a Brand Ads Analyst in Kenya, you will drive the growth of Glovo's Brand Ads business by managing top brand partnerships and bringing new advertisers on board. You'll build lasting relationships, craft and execute Joint Business Plans, and deliver impactful campaigns that boost visibility, sales, and brand loyalty. Your work will directly improve partner performance, grow marketing investment, and fuel Glovo's success in the market.

THE JOURNEY

• Brand Growth & Relationship Management – Manage and grow a diverse portfolio of brands, including FMCG/CPG, non-endemic advertisers, and financial institutions, through strong partnerships, Joint Business Plans, and consistent campaign support.
• Business Development – Prospect, pitch, and onboard new advertisers—from CPGs to banks, telcos, fintechs, and lifestyle brands—to expand Glovo's Brand Ads revenue and market presence in Kenya.
• Campaign Strategy & Execution – Design, launch, and optimize high-impact campaigns, leveraging creative ideas and seasonal opportunities to drive visibility and sales across multiple categories.
• Data-Driven Insights – Analyze campaign and sales performance, preparing clear ROI-driven reports and actionable insights for brands and internal stakeholders.
• Growth Opportunities – Identify high-potential brands using data and internal tools, converting insights into strategies that unlock revenue and category growth.
• Pitches & Proposals – Develop compelling proposals to convert leads into long-term advertisers and deepen partnerships.
• Cross-Functional Collaboration – Partner with internal teams to ensure seamless campaign execution aligned to partner goals.
• Revenue Delivery – Work closely with the Brand Ads Manager to achieve quarterly revenue targets and drive overall category performance.
• Process & Innovation – Contribute to improving Brand Ads processes, tools, and best practices to strengthen Glovo's competitive edge.
• Comprehensive Partnership Building – Help both FMCG and non-endemic brands—including financial institutions—boost their sales by leveraging Glovo's full marketing services, from ads to insights and promotions, while building trust-based, long-term relationships.

What You Will Bring To The Ride

• A Bachelor's/Master's degree in Business, Marketing, or a related field.
• 2–4 years of experience in FMCG, media agencies, e-commerce, or digital advertising.
• Strong analytical skills with the ability to turn data into actionable insights.
• Excellent presentation, pitching, and communication skills.
• Solid planning, prioritization, and time management abilities.
• A proven track record of building relationships and driving business growth.
• Fluency in English and Swahili.
• A true Glovo mindset: you are proactive, results-driven, and adaptable, with a bias for action in a fast-paced environment.
• Values that fit our culture: you're humble, curious, inclusive, and passionate about making an impact for partners and customers.

Individuals representing diverse profiles,
and abilities,
encompassing various genders, ethnicities, and backgrounds, are less likely to apply for this role if they do not possess solid experience in 100% of these areas. Even if it seems you don't meet our musts don't let it stop you, we are all about finding the best talent out there
Skills can be learned, and embracing diversity is invaluable.
We Believe Driven Talent Deserves

• Top-notch private health insurance to keep you at your peak.
• Monthly Glovo credit to satisfy your cravings
• Discounted gym memberships to keep you energized.
• Extra time off, the freedom to work from home two days a week, and the opportunity to work from anywhere for up to three weeks a year
• Online therapy and wellbeing benefits to ensure your mental well-being.

Here at Glovo, we thrive on diversity, we believe it enhances our teams, products, and culture. We know that the best ideas come from a mashup of brilliant diverse minds. This is why we are committed to providing equal opportunities to talent from all backgrounds - all genders, racial/diverse backgrounds, abilities, ages, sexual orientations and all other unique characteristics that make you YOU. We will encourage you to bring your authentic self to work, fostering an inclusive environment where everyone feels heard.

Feel free to note your pronouns in your application (e.g., she/her/hers, he/him/his, they/them/theirs, etc).

So, ready to take the wheel and make this the ride of your life?
Delve into our culture by taking a peek at our Instagram and check out our Linkedin and website

• Assist in collecting and organizing marketing data from various sources (e.g., web analytics, CRM, social media platforms).
• Clean and preprocess data to ensure accuracy and consistency for analysis.
• Perform descriptive statistical analysis to identify trends and patterns in marketing performance.
• Support the creation of reports and dashboards to visualize key marketing metrics.
• Help analyze campaign performance and provide insights for optimization.
• Collaborate with marketing teams to understand data needs and provide analytical support.
• Learn and apply new data analysis techniques and tools under guidance.
• Contribute to ad-hoc data requests and research projects.

• Currently pursuing or recently completed a Bachelor's degree in Statistics, Mathematics, Economics, Marketing, Computer Science, or a related quantitative field.
• Strong analytical and problem-solving skills with a keen attention to detail.
• Proficiency in Microsoft Excel (pivot tables, VLOOKUPs, formulas).
• Basic understanding of statistical concepts and data analysis principles.
• Eagerness to learn new software and analytical tools.
• Good communication and collaboration skills.
• Ability to work independently and manage time effectively in a remote environment.
• Familiarity with SQL, Python (Pandas), or data visualization tools (Tableau, Power BI) is a plus.