What Jobs are available for Data Analyst in Kenya?

Numeral is building the automation backbone for internet commerce — starting with the painful world of sales tax compliance. We handle everything from registration to remittance, delivering a white-glove service so e-commerce businesses can stay laser-focused on what they do best: growing their products, customers, and teams.

We're one of the fastest-growing companies from Y Combinator's W23 batch, backed by top-tier investors including Benchmark Capital. Our team has deep roots from the early days at Stripe, Airbnb, Notion, and other breakout companies — and now we're bringing that same level of craft, speed, and ambition to a space that's long overdue for reinvention.

Numeral is small but mighty. Growth is already borderline unmanageable — which means every hire we make now will directly shape the trajectory of the company. If you're excited about joining as an early team member and want the kind of ownership that defines careers, we want to meet you.

Running an online business today means wearing a thousand hats — most of them not the reason founders started their company. Our mission is to eliminate the administrative and accounting burdens that distract businesses from doing what they love.

We've already helped hundreds of merchants avoid the headache of building giant finance teams just to manage tax compliance. Tomorrow, we're scaling that impact even further: building the automation layer that lets internet businesses stay nimble, compliant, and future-proof.

As a Data Analyst at Numeral, you'll be embedded in the engine room of our operations—playing a critical role in reconciling customer data, improving data quality, and making our platform smarter and more scalable. You'll work closely with Engineering, Product, and CX teams to ensure customers have clean, actionable data at their fingertips and smooth onboarding experiences.

This is a foundational role with outsized impact. You'll get to shape how we use data across the business - no bureaucratic layers, just real ownership and real outcomes.

• Reconcile financial and transactional data from multiple sources to enable accurate, repeatable sales tax filings

• Normalize customer data across platforms (e.g. Stripe, Shopify, Numeral API) to ensure integrity in tax workflows

• Partner with Sales, Engineering, Product, and Solutions teams to troubleshoot and resolve onboarding data issues

• Support our customer-facing teams with ad hoc data questions, investigations, and insights

• Build internal tooling and processes to streamline reconciliation and improve onboarding throughput

• Improve the fidelity and performance of our DBT pipelines and help evolve our broader data architecture

• Proficient in SQL and Excel / Google Sheets

• Strong analytical and pattern recognition skills across large, messy, or multi-source datasets

• Experience reconciling financial or transactional data (ideally in an e-commerce or payments environment)

• Strong problem-solving skills and ability to operate with autonomy in fast-moving environments

• Clear communicator with high attention to detail and a collaborative mindset

• Experience with DBT or similar ETL frameworks

• Familiarity with Stripe, Shopify, Fivetran, Parquet, S3, DuckDB

• Comfort navigating REST APIs and programmatically transforming data (e.g. Python or other scripting languages)

• Prior exposure to tax, compliance, or accounting-related data

• A background in operations, finance, or technical customer success

• Be a core builder in an ambitious, globally minded startup.

• Learn hands-on how to scale international compliance systems.

• Work across functions and with leadership early in your career.

• Make a visible impact immediately through enablement and operational design.

• Enjoy a flexible, remote-first culture with strong mentorship and ownership opportunities.

Carry1st is Africa's leading games publisher and monetization platform, helping top global companies grow their player base and revenue across Africa and the Middle East. We launch, localize, and scale games for global audiences, operate the region's fastest-growing digital top-up web shop, and offer a payments platform that boosts revenue by up to 10x in markets with low card usage but high demand for digital content. Our partners include Activision, EA, Riot Games, and Netease. Backed by investors like a16z, Bitkraft, Google, Konvoy, Sony, Riot Games, and Nas, we're solving hard problems at the intersection of gaming, fintech, and digital commerce.

As
Data Analyst,
you will be responsible for driving customer satisfaction and loyalty on our online shop and payment gateway by analysing customer behavioural data, purchase propensities, and crm lifecycles. These will support our Product and Growth teams in scaling our shop and payment gateway as the go-to brands in Africa. Reporting to the VP Data, you will work closely with our Sr Data Analyst in developing frameworks for scaling platform analytics as our products and partners multiply.

You will .

• Uncover insights in customer behaviour and propensities to inform design of our shop
• Design and analyse tracking events to uncover patterns, frictions, and bugs
• Deeply understand customer lifecycles and propensities to develop CRM models
• Partner with Product and Growth stakeholders and take the technical lead in designing experiments that help evolve user experience and marketing strategies
• Develop automations & frameworks to drive agility in our Operations and Finance teams
• Bank general insights to drive Carry1st's strategic direction via new business models

Requirements
What makes you a great candidate?

• Degree in Economics, Physics, Statistics, Business, Finance or similar
• Minimum 1-2 years experience in e-commerce and/or fintech analytics
• Strong mathematical and statistical acumen
• Solid SQL skills. Practical analytics experience with Python. Practical experience with a visualisation tool, preferably Tableau
• Strong analytical and problems solving skills as a foundation for adaptability in an ambiguous and agile environment of diverse backgrounds
• Ability to effectively communicate complex insights and hypotheses to business stakeholders

Benefits
What will it be like to work at Carry1st?
Carry1st is a fast-growing, dynamic place to work. And while we are laser focused on building the flagship mobile internet company in Africa, our team is fully remote and 100% global - with people in 25+ countries At Carry1st, you will.

• Build awesome, industry-changing products, every day
• Grow with a VC-backed startup at the intersection of gaming, fintech, and web3
• Work from anywhere in the world with international teammates
• Own shares in the Company - enabling you to benefit from the value you create

Some Additional Perks.

• Co-working excursions: Travel to meet your colleagues in cities around the world
• Awesome equipment: Get everything you need to work effectively
• Remote working allowance: Put an additional $600 / year to optimise your WFH experience
• Learning and development: Attend courses, conferences and training events
• Social events: Participate in regular company events to relax and connect with teammates
• Birthday leave: Enjoy a paid day off on your special day

We hire great people from a wide variety of backgrounds, not just because it's the right thing to do, but because it makes our company stronger. Join us

Learn more about Carry1st.

• Andreessen Horowitz shared why they invested in Carry1st
• VentureBeat announced that Carry1st has raised $27 million to develop and publish mobile games in Africa
• Remerge hosted Cordel on a podcast to discuss Carry1st and the African gaming market

Job description Data analyst

Location
: Nairobi/Kenya

Experience Level
: Open to all passionate individuals with the right skills and aslo skilled in web scraping.

Compensation: Profit-sharing model (No salary initially, compensation after the first profit cycle)

About Arxern

Arxern is a startup leveraging cutting-edge technology, to address challenges in Kenya's financial sector. Build a tech-first investment platform for Kenyan investors to track, analyze, and automate portfolios . we are on a mission to transform Kenya's fintech landscape and foster economic growth. Join our dynamic team and unlock new opportunities for growth and success. Be part of something impactful and take your skills to the next level

What We Offer

An opportunity to be part of a purpose-driven startup at the forefront of innovation. A collaborative and dynamic work environment where your contributions directly impact our growth.

Profit-sharing compensation model

Your efforts will be rewarded when we succeed together. A chance to make a meaningful difference in Kenya's financial sector. How to Apply If you're excited about leveraging data to drive innovation and want to be part of Arxern's journey to transform Kenya's investment market, we'd love to hear from you Send your application and CV to Join us in creating solutions that will shape Kenya's future Industry Tech Employment Type Full-time Industry Technology, Information and Internet

Role Description

This is a full-time remote role for a Data Analyst. The Data Analyst will be responsible for performing data analytics and data modeling, conducting statistical analyses, and applying analytical skills to interpret data. The Data Analyst will also be tasked with effectively communicating findings and insights to both technical and non-technical stakeholders. Daily tasks include data collection, data cleaning, data visualization, and generating reports.

Qualifications

• Strong Analytical Skills and proficiency in Data Analytics
• Knowledge and experience in Statistics
• Proficiency in Data Modeling
• Excellent Communication skills to convey complex information
• Proficiency in using data analytics tools and programming languages such as Python, R, or SQL is preferred
• Experience with AI and machine learning techniques is a plus
• Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, or related field
• Ability to work independently and collaboratively in a remote setting
• Attention to detail and problem-solving skills

About BasiGo
BasiGo is an early stage e-mobility start-up looking to create the future of clean, electric public transportation in Africa. Through our products, technology, and service model, BasiGo aims to revolutionize and decarbonize public transport in sub-Saharan Africa, enabling the continent to be a global leader in affordable, modern, low-carbon public transport.

Key Responsibilities

• Data Analysis & Insights
• Collect, clean, and analyze operational, financial, and customer data to identify trends, patterns, and anomalies.
• Produce regular and ad-hoc reports for internal teams (operations, finance, customer experience, engineering) to support data-driven decision making.
• Build intuitive dashboards and visualizations that track KPIs according to departments or projects.
• Partner with business units to define metrics, validate data, and turn analysis into actionable recommendations.
• Support Model Development & Research
• Assist the data science team in preparing datasets for machine learning models in areas such as credit scoring, predictive maintenance, route optimization, and driver behavior scoring.
• Document data sources, assumptions, and model inputs for transparency and reproducibility.
• Data Infrastructure & Quality
• Work closely with engineering to ensure data pipelines are reliable, accurate, and scalable.
• Validate and reconcile data from multiple systems (e.g., telematics, Jani digital fare collection, billing, CRM, financial systems).
• Establish basic data quality checks and flag anomalies proactively.
• Stakeholder Engagement
• Act as a bridge between technical and non-technical teams, translating data findings into clear, actionable insights.
• Support training sessions and workshops to build data literacy across the organization.

Qualifications

• Bachelor's degree in Data Science, Statistics, Computer Science, Economics, Mathematics, or a related quantitative field.
• 2–4 years of professional experience in data analysis or business intelligence.
• Proficiency in SQL for data extraction and transformation.
• Strong skills in Python (Pandas, NumPy, matplotlib/Seaborn/Plotly) or R for analysis and visualization.
• Experience with BI/dashboarding tools (e.g., AWS QuickSight, Power BI, Tableau, Looker).
• Solid understanding of data cleaning, statistical analysis, and basic machine learning concepts.
• Familiarity with cloud platforms (AWS preferred) is an advantage.
• Excellent communication skills with the ability to explain data insights to non-technical audiences.
• Knowledge of the Kenyan public transport sector or fintech/mobility data is a plus.

What We Offer

• The opportunity to work at the cutting edge of e-mobility and sustainable transport in Africa.
• A role with real business impact, supporting data-driven decision making across the company.
• Competitive salary and benefits.
• Professional growth opportunities, including mentorship from senior data science leaders and exposure to advanced modeling projects
• A collaborative, mission-driven culture where your contributions directly shape the future of clean mobility.

Attitude and Approach

• Proactive, detail-oriented, and able to handle multiple priorities.
• Growth mindset and eagerness to learn advanced data analysis techniques.
• Team player who thrives in a fast-paced start-up environment.
• Curious, analytical, and passionate about using data to solve real-world problems.

BasiGo is proud to be an Equal Opportunity Employer. We do not discriminate based on race, color, religion, sex, age, national origin, ethnic background, disability, pregnancy, sexual orientation or any other protected characteristic established by law.

Our client, a vertically integrated textile solutions provider, seeks to hire a Data Analyst to join their Information Systems Department. Reporting to the Team Lead, the Data Analyst will be responsible for collecting, analyzing, and interpreting business and operational data to generate actionable insights that support decision-making and drive growth opportunities.

Location:
Ruiru, 100% Onsite

Key Responsibilities

• Analyze business and operational data to generate actionable insights.
• Identify opportunities for growth in local markets through data analysis.
• Work closely with cross-functional teams to support data-driven decision-making.
• Prepare and deliver ad-hoc reports for various business needs.
• Ensure data consistency, accuracy, and confidentiality across systems.

Requirements

• Bachelor's degree in Data Science, Statistics, Computer Science, Information Systems, Economics, or related field.
• 1–5 years of relevant experience in data analysis, business intelligence, or a related role.
• Experience in
  data modeling
  (building, interpreting, and applying models to support business decisions).
• Strong analytical and problem-solving skills.
• Proficiency in data analysis tools (e.g., Excel, SQL, Python, R, Power BI, or Tableau).
• Ability to translate complex datasets into clear, actionable business insights.
• Strong communication and collaboration skills.
• Keen attention to detail with a high level of integrity.

Company Description

Tezzra Technologies is your partner in digital transformation, offering customized IT solutions to drive efficiency, enhance security, and foster growth in a rapidly evolving digital landscape. Our expertise spans IT support, cloud solutions, integrations, and AI, providing businesses with the tools needed to thrive. We are committed to delivering innovative solutions that address the unique challenges of each client.

Role Description

This is a full-time hybrid role for a Data Analyst located in Nairobi County, Kenya, with some work-from-home flexibility. The Data Analyst will be responsible for analyzing complex data sets, generating meaningful insights, and presenting findings to support business decisions. Daily tasks include data modeling, performing statistical analysis, and collaborating with cross-functional teams to implement data-driven strategies.

Qualifications

• Strong Analytical Skills and Data Analytics experience
• Proficiency in Statistics and Data Modeling
• Effective Communication skills, both written and verbal
• Ability to work independently and collaboratively in a hybrid work environment
• Bachelor's degree in Data Science, Statistics, Computer Science, or a related field
• Experience with data visualization tools such as Tableau or Power BI is a plus

About the Role

We're looking for a Data Analyst & Integrations Associate to join our growing Analytics team. You'll work directly with the IT, CRM, and Analytics Manager to manage data flows, support analytics and reporting, and ensure real-time integration with external platform providers.

This role sits at the intersection of data science, systems integration, and day-to-day operations. If you're someone who enjoys solving practical data challenges, understands how systems talk to each other, and can work comfortably across both structured reporting and fast-paced environments, this is for you.

What You'll Do

·   Integrate with external platform providers (via APIs, SFTP, or direct database access) to extract, process, and monitor real-time data feeds

·   Own and manage data pipelines - transforming raw data into analytics-ready formats

·   Support internal reporting and dashboard development across departments

·   Write and optimize SQL queries (especially in PostgreSQL) for both ad-hoc and recurring needs

·   Help automate routine analytics workflows and identify opportunities for smarter, faster processes

·   Collaborate with teams across Marketing, CRM, Finance, and Operations to make sure data is accurate and actionable

·   Monitor and manage server-side processes and data flow, troubleshoot issues, and escalate when needed

What You Should Have

Technical Skills

·   Strong hands-on experience with PostgreSQL (queries, views, procedures, performance tuning)

·   Solid working knowledge of Microsoft tools - especially Excel (Power Query, PivotTables), Power BI, Azure and more

·   Good understanding of APIs, webhooks, and SFTP data integrations

·   Comfortable working with servers - scheduling jobs, writing scripts, basic troubleshooting

·   Experience with real-time or streaming data is a strong plus

·   Bonus: Familiarity with Python or another scripting language for light automation or ETL work

Soft Skills & Fit

·   Analytical and detail oriented - you enjoy working with data and figuring things out

·   Curious and proactive - you don't wait for instructions, you seek solutions

·   Strong communicator - able to simplify complex technical issues for non-technical teams

·   Collaborative and adaptive - comfortable working in a fast-moving, startup-style environment

·   Data-disciplined - you understand the importance of clean, accurate, trustworthy data

What We Offer

·   A front-row seat in a fast-growing company with room to evolve your role

·   Hands-on exposure to real-world, high-volume data

·   Opportunities to grow into more advanced data science or platform management roles

·   Competitive salary and a flexible, learning-oriented work environment

·   A culture that values data, ownership, and execution

How to Apply

After applying on LinkedIn.

Send your CV and a brief message explaining why you're a great fit to:

• Use the subject line:
  Data Analyst & Integrations Role – "Your Name"

Empowering Africa's tomorrow, together…one story at a time.
With over 100 years of rich history and strongly positioned as a local bank with regional and international expertise, a career with our family offers the opportunity to be part of this exciting growth journey, to reset our future and shape our destiny as a proudly African group.

My Career Development Portal:
Wherever you are in your career, we are here for you. Design your future. Discover leading-edge guidance, tools and support to unlock your potential. You are Absa. You are possibility.
Job Summary
The Data Analyst is responsible for developing and implementing data-driven strategies to support the company's business objectives. This includes analyzing large datasets to uncover trends, predict risks, and inform decisions related to pricing, underwriting, claims, and customer behavior, overall sections/business performance. The role ensures the company leverages its data assets to improve profitability, efficiency, and customer satisfaction.

Job Description
Accountability

• Assisting the departments/business in analyzing data and metrics to identify trends that are useful in decision making.
• Assisting in all phases of project work, including problem identification, formulation, model development, and deployment.
• Analyse source data and data flows, working with structured and unstructured data to determine trends and assist in better decision-making.
• Support in the development and enhancements of Macros in configuring data sets to specified or standard reporting templates for aggregation from multi systems.
• Build and maintain statistical models to forecast trends, assess risk, and optimize pricing and underwriting decisions. This may involve using techniques such as regression analysis, machine learning, and time-series forecasting.
• Analysing business performance and ensure alignment with the organization's long-term vision and strategic objectives.
• Collaborate with departments like underwriting, claims, and sales to identify areas for improvement and implement data-driven solutions to enhance operational efficiency.
• Conduct comprehensive analysis of policy, claims, and sales data to provide actionable insights. Develop and maintain dashboards, reports, and data visualizations to track key performance indicators (KPIs) and present findings to senior management.
• Business Case Support: Contribute to the development of business cases for proposed projects.
• Manipulate high-volume, high-dimensionality data from varying sources to expose and highlight patterns, anomalies, relationships, and trends
• Apply AI and Machine Learning technology to solve complex, business problems
• Analyze and visualize diverse sources of data, interpret results in a business context, and report results clearly and concisely
• Communicate and present analytical models to the department management
• Work collaboratively with different business partners and be able to present results in a clear and concise manner.
• Design, develop, and implement state-of-the-art AI techniques; reproduce and apply existing algorithms/methods/models for financial applications.
• Innovate and advance AI techniques; evaluate and improve AI algorithms/methods/models currently used.
• Assist with developing and deploying AI educational workshops/seminar series for the staff to accelerate AI adoption.

Accountability: People & Culture

• Fostering a corporate culture that promotes ethical practices and good corporate citizenship while maintaining a conducive work environment.
• Collaborate with cross-functional teams to develop initiatives that promote a positive and inclusive company culture.
• Individualized Development Planning: Create personalized development plans that align with your career aspirations and the organization's objectives.

Accountability : Risk Management

• Compliance: Stay updated with insurance regulations and best practices to ensure compliance with industry standards
• Adherence to the laws and regulations of Kenya, the policies and regulations within the insurance industry and all internal company policies and procedures.
• Ensuring compliance with applicable statutory and regulatory requirements and establishing mitigation measures against emerging business risks.
• Drive a culture of proactive compliance in the function.

Education And Qualifications Required (Essential)

• Bachelor's degree in Computer Science, Data Science, Engineering, Actuarial, Statistics, Economics, Mathematics, Business or other relevant qualifications.
• Diploma in Insurance/relevant Insurance professional Qualification will be an added advantage.
• Analytical Skills
• Machine Learning (ML)
• Artificial Intelligence (AI)
• Scalable Computing.
• 2-3 years relevant experience
• Have experience in operating in complex business environments and/or regulated sectors and have the personal qualities to develop strong stakeholder relationships

Technical Skills

• Programming Languages: Proficiency in Python or R for data manipulation, statistical analysis, and modeling.
• Database Management: Strong skills in SQL for querying and managing large datasets.
• Business Intelligence Tools: Experience with data visualization and dashboard tools.
• Statistical Software: Familiarity with statistical software (e.g., SAS, SPSS).

Education
Bachelor`s Degrees and Advanced Diplomas: Business, Commerce and Management Studies (Required)

Position:
Data Analyst

Location:
Colombia, Kenya, Uganda, Tanzania, Malawi or Zambia

Reports To:
Research and Evaluation Manager

About Us

World Bicycle Relief mobilizes communities in rural regions around the world to thrive with life-changing bicycles. We partner with communities to expand access to education, markets, healthcare and other essential services. With our purpose-designed
Buffalo Bicycles, individuals in low-income regions are a force for change, unlocking pathways to new opportunities for themselves, their families and entire communities.

We are a mission-driven, global non-profit social enterprise that manages a highly refined bicycle supply chain from design through final distribution. World Bicycle Relief uses an innovative business model to create sustainable bicycle ecosystems. Through World Bicycle Relief's 501(c)3, we provide transport solutions to those who cannot afford them, and through Buffalo Bicycle Ltd, we sell the rugged Buffalo Bicycle and spare parts. Buffalo Bicycle Ltd also offers users repair and maintenance services via a retail network of shops and local mechanics. World Bicycle Relief has distributed over 900,000 fit-for-purpose bicycles and trained 4,000+ community-based mechanics. Girls with Buffalo Bicycles are 19% less likely to drop out of school; business owners see 53% more revenue; and health workers serve 63% more households.

Purpose of the Position

WBR seeks a
Data Analyst
to support the SII team with the management and analysis of data related to research, monitoring, and evaluation of WBR and Buffalo programs and partner programs. They will work closely with the Research and Evaluation Manager and Monitoring and Database Manager to clean, process, and analyze the data undertaken by WBR and partners. The Data Analyst will also work with M&E Managers to prepare data to inform reporting, storytelling, communications, marketing, program quality improvement and the learning agenda.

Responsibilities

Research and Analysis Support

• Conducts analysis of data, including from household surveys (cross-sectional and panel), market surveys, and administrative datasets.
• Supports analysis of complex datasets to identify trends, patterns, and insights that support decision-making.
• Provides remote support to Monitoring and Evaluation Managers during data collection activities, including undertaking data quality checks and ensuring proper entry of data in MDC platforms and communication with enumerators, as required.
• Collaborates with M&E Managers, the Global Research Manager, and Social Enterprise teams to understand data needs and provide analytical support.
• Cleans and validates data from multiple sources to ensure data quality and accuracy.
• Collates, structures, and enables integration of multiple different types of data sets for analysis
• Conducts analytics for reports and internal needs.
• Conducts secondary research, including reviews of academic and non-academic literature, on topics relevant to program and research design.

Capacity Building and Data Management

• Provides training and technical support to M&E Managers and M&E Officers on data analysis, management, and data interpretation.
• Assists M&E Managers with preparing clear and concise reports to communicate findings to various stakeholders.
• Provides support in data quality assurance and validation processes, including regular data audits, consistency checks, and accuracy verification to ensure the integrity and reliability of Monitoring data in Salesforce
• Assists with maintaining and updating data and report files.
• Together with M&E Managers, ensures the safekeeping and privacy of all data collected and managed by the SII team.
• Maintains data privacy standards and protocols

Research Dissemination

• Coordinates with the SII team on data dissemination including: report writing, data inputs into dashboards, generate PowerPoints or visualizations.
• Together with broader SII team, assists with responding to Marketing, Communication, Program, and Partnership requests for data inputs.

Qualifications

• Bachelor's degree in Economics, Statistics, Development Studies, Social Sciences, or related degree. Master's degree preferred.
• 3-5 years demonstrated experience with advanced data analysis (e.g., correlations, regressions).
• Demonstrated full toolkit of data management and analytics (e.g., cleaning, structuring, validating, statistical analyses, advanced analytics)
• Ability to work with complex data sets and understand how to transform and combine disparate data to enable effective analytics, including household survey data.
• Experience collecting, managing, and/or analyzing data collected from national health and education systems (DHIS2, eMIS)
• Strong comfort with, and experience in, retrieving, structuring, analyzing, and visualizing data across most well-establish data analytics platforms (e.g., Tableau, PowerBI, R, Advanced Excel)
• Experience monitoring and maintaining data quality utilizing best practices
• Ability to translate data insights and outputs into appropriate, consumable formats (e.g., PowerPoint, Word, e-mails, SharePoint, Prezi)
• Experience with the use of data collection platforms, such as SurveyCTO, Kobotoolbox, and ODK.
• Demonstrated experience with research on development themes, e.g., health, education, poverty, inequality, unemployment, and wellbeing.
• Demonstrated experience with use of Stata for statistical analysis.
• Demonstrated experience with drafting research reports.
• Experience working in a non-governmental organisation setting.

Desirable

• Experience collecting and analysing qualitative data.
• Experience with research on mobility and transportation modes, rural livelihoods, education, health, and socio-economic conditions.
• Experience with fieldwork and primary data collection.

Travel:
15% Travel within operating countries or their own country.

Work Location
: Work location based in one of our Operating Countries (Colombia, Kenya, Uganda, Tanzania, Malawi or Zambia)

WBR is a registered not-for-profit in the USA (501c3), Canada, UK, Germany, Switzerland, and Australia. We have supported programs in 20 countries, and have country offices, staff, and assembly facilities in Colombia, Kenya, Malawi, Tanzania, Uganda, and Zambia. WBR is proud to be an equal opportunity employer.