{"id":476226,"url":"https://alion.io/job/quiet-capital-data-analyst-financial-services-","title":"Data Analyst ( Financial Services )","company":{"id":57675,"name":"Yassir","domain":"yassir.com","url":"https://alion.io/company/yassir","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Lever","truth_index":{"grade":"A","score":87,"open_postings":98,"ghost_share":0.133,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":263,"computed_at":"2026-10-27T05:46:45Z"}},"role":"Analytics","role_family":"Analytics","seniority":"junior","employment_type":"freelance","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Algiers, Algeria"],"countries":["DZ"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":9500,"max_usd":23000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":1876},"experience_years_min":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"A/B Testing","optional":false},{"name":"GCP","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Looker","optional":false},{"name":"Power BI","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Tableau","optional":false},{"name":"Machine Learning","optional":true}],"status":"live","first_seen_at":"2026-06-30T13:47:48Z","employer_posted_date":"2026-06-30","last_verified_at":"2026-10-27T16:22:20Z","board_verified":true,"closed_at":null,"days_open":119,"trust":{"level":"ok","repost_count":0,"flags":["company_stale"],"days_open":118},"description":"About Yassir\nYassir is the Super App designed to make your life easier. Yassir’s Mission is to serve Africans in the continent and its diaspora while creating economic opportunities for service providers and infusing social values. We aspire towards providing our users with the most essential services to their door by leveraging technology and a large ecosystem of partners. We at Yassir stand for: Ambition, Transparency & Trust, Quality, Performance. And we are growing fast - super fast.\nBy choosing a career at Yassir, you choose to be part of one of the most impactful, fastest-growing Tech companies in Africa.\nyassir.com\nAbout the Role\nYassir is seeking a highly skilled and motivated Data Analyst, of junior / mid / senior level, to join our Data Analytics team and contribute with shaping the business’s decision making and product offering on Financial Services in making it more data and insights driven. As a Data Analyst (FinTech), you will play a crucial role in analyzing data, helping us prioritize, assess, develop financial product features for our millions of users across Africa. Your expertise in both data processing, robust statistical analysis, insights derivation, hypothesis formulation and data visualization will be essential in driving our solutions and providing value to Yassir. This is a very exciting opportunity, tackling some of Yassir’s most critical problems.\nAbout the Team\nThe Data Analytics team is part of Yassir’s central Data & AI domain, which is responsible for all data related activities in the organization - from Data Engineering, Data Platform management and Data Analytics all the way to AI solutions and MLOps infrastructure development. We are a global team of Data and AI / ML experts, encompassing diverse backgrounds and skills. We strive to provide top-quality Analytics and BI insights to the business, being a proactive partner to our stakeholders, and ultimately to build a mature Data Culture supported by widespread data fluency, responsible and democratized data access, data-driven decision making and automation. We push the envelope of what’s feasible, we challenge each other, we support each other, and we take great pride in our work. Most of all we are value-driven to create impact from our data solutions. If you have an inherent curiosity about the fields Data and AI, a relevant background and an internal zeal and drive to contribute, please come join us!\nKey Responsibilities\nAnalyze customer, transaction, merchant, and agent data to identify trends, opportunities, and performance drivers across Wallets, Payments, Bill Payments, Merchant Payments, P2P Transfers, and other Financial Services products.\n\nPartner with Product Managers, Operations, Risk, Finance, and Engineering teams to answer business questions through data and support product decision-making.\n\nDevelop and maintain dashboards, reports, and KPI tracking frameworks to monitor customer growth, engagement, retention, transaction performance, and revenue metrics.\n\nConduct deep-dive analyses on customer behavior, payment funnels, wallet activation, transaction success rates, merchant activity, and agent performance.\n\nSupport product discovery and feature development by identifying customer pain points, behavioral patterns, and growth opportunities using data.\n\nDesign, execute, and evaluate A/B tests, feature launches, promotional campaigns, and product experiments to measure impact and guide future improvements.\n\nWork closely with Data Science and Risk teams to support customer segmentation, fraud monitoring, credit risk analysis, and predictive modeling initiatives.\n\nPerform exploratory data analysis (EDA) to uncover actionable insights and support the development of data-driven product enhancements.\n\nMonitor data quality, identify anomalies, and collaborate with Data Engineering teams to improve tracking, instrumentation, and reporting accuracy.\n\nCommunicate findings and recommendations clearly to both technical and non-technical stakeholders through presentations, reports, and dashboards.\n\nKey Requirements\nEssential\n2-5 years of experience in Product Analytics, Business Analytics, Data Analytics, or a related analytical role.\n\nStrong SQL skills and practical experience working with large-scale customer and transaction datasets.\n\nProficiency in Python for data analysis, statistical modeling, and data visualization.\n\nExperience working with digital products, preferably within Fintech, Payments, Wallets, Banking, Lending, or Financial Services.\n\nSolid understanding of statistics, hypothesis testing, experimentation, and data-driven decision-making.\n\nExperience building dashboards and reports using BI tools such as Looker Studio, Looker, Tableau, or Power BI.\n\nAbility to translate business questions into analytical approaches and communicate insights effectively to stakeholders.\n\nFamiliarity with cloud-based data platforms, preferably Google Cloud Platform (GCP) and BigQuery.\n\nStrong problem-solving, analytical thinking, and attention to detail.\n\nExcellent written and verbal communication skills in English.\n\nNice to have\nExperience working with Wallets, Bill Payments, Merchant Payments, P2P Transfers, Agent Networks, Lending, or Credit 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