We are looking for a rockstar data nerd with previous experience working with large data sets, and is familiar with techniques and approaches to data. They will also help interpret data into models and decisions that guide the company to assess and predict credit risk to SMEs we fund.
Primary responsibilities;
Data analysis using statistical techniques
Data cleaning and data mining
Conducting full lifecycle analysis to include requirements analysis, data cleaning and design in relation to data needs and come up with workflows while communicating effectively with stakeholders and working closely with the data and technical team
Internal data analysis & reporting by developing intelligent, descriptive, predictive and spatial models
Provide strategic data driven decisions and recommendations to the business initiatives and other external stakeholders to ensure robust products developments and scale
Lead problem solving experiments and coordination efforts between various business units while measuring results effectively and efficiently for each experiment
Business intelligence to maximize proficiency and productivity with our products and services.
Must haves;
Minimum Education: Undergraduate degree in Mathematics, Statistics, Economics or similar
Experience analysing data: evidence that you can communicate the key messages from large data sets
Excellent with SQL database operations
Technical skills regarding data models, database design development, data mining and segmentation techniques
Experience cleaning data: ensuring the data collected is in a usable format and diagnose when it’s not: a good level of Quality Assurance.
Excellent communication and collaboration skills: you will work closely with the data and tech teams to define partner requirements/needs, defining the right data solutions
You can think critically about a business, understand its key drivers and be able to dynamically model different scenarios
Attention to detail: Meticulous, Fastidious, thorough
Strong analytical skills
Experience required:
Experience with analytics and business intelligence tools: e.g. Power BI, Tableau, MS Power BI, SPLUNK etc
2+ years of relevant experience in data fields
Knowledge of statistics and experience using statistical packages for analyzing datasets (Excel, SPSS, SAS etc)
Familiar with ETL process (Extract, Transform and Load)
Experience with experimental design, statistical analysis, and interpretation of qualitative and quantitative data.
Good knowledge of statistical tests and analysis
Ability to balance priorities, clarify stakeholder requirements, pay keen attention to detail, and generally keep deliverables on schedule
Ability to communicate technical details clearly and concisely to management & external stakeholders
A curious mind and a passion for problem-solving, data, and analytics
Comfort in a fast-paced, growth-stage start-up environment
Good to have;
Experience in developing credit scoring models
Python skills especially in a data analytics capacity
Apply via :
www.linkedin.com
