Business Data Analyst at Kwik Delivery

Kwik Delivery – We are a new start-up platform company in the logistics market in Nigeria committed to offering reliable and secure parcel shipping services within large metropolitan areas. Operations started in Lagos in Q2 2019.

We are recruiting to fill the position below:

Job Title: Business Data Analyst

Location: Lagos

Who You Are

You are a talented, smart, passionate and experienced/certified Business Data Analyst capable of analysing and interpreting data for business performance across all business lines at the shortest time under little or no supervision.

What You’ll Do

Analyse the structure of a business, how it uses technology and what its goals are.
Evaluate changes and updates to source production systems.
Identify gaps in different processes and implement process improvement initiatives across the business improvement model keeping track of where cost can be better optimized along with the workflow.
Coordinate with departments and units to ensure adequate information flow and understanding of overall process improvement direction.
Support the data warehouse in identifying and revising reporting requirements
Develop, implement, and maintain databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality
Acquire data from primary or secondary data sources
Identify, analyse, and interpret trends or patterns in complex data sets using data tools, platforms and analytics tool kits
Filter and “clean” data by reviewing computer reports, printouts, and performance indicators to locate and correct code problems
Design and supervise the development of management, operational and financial dashboards to track KPIs in liaison with relevant departments.
Provide technical expertise on data storage structures, data mining, and data cleansing
Assess tests and implementing new or upgraded software and assist with strategic decisions on new systems
Generate and analyse reports from single or multiple systems
Manage and design the reporting environment, including data sources, security, and metadata
Support initiatives for data integrity and normalization.
Troubleshoot the reporting database environment and reports
Work with management to prioritize business and information needs
Provide quality assurance of imported data
Process confidential data and information according to guidelines
Commissioning and decommissioning of data sets
Analyse Kwik’s processes and/ or operations in order to improve efficiency and automate where possible
Involve in special projects and provide ad hoc / special analysis as required (e.g. revenue recovery efforts, review of business practices)
Use historic, current and predictive data to identify growth opportunities, translate complex findings into business terms and communicate to management
Develop strategies for analytics to build advanced data visualizations and analytical models
Move analytics models from development to production
Research best practices, develop implementation plan of operational and cost improvement strategies, assist in seeking, evaluating and implementing new technology.

What You’ll Bring

Graduate of Computer Science, Maths or Statistics with relevant certifications
Proven 2 – 3 years working experience as a data analyst or business data analyst
Technical expertise regarding data models, database design development, data mining and segmentation techniques
Strong knowledge of and experience with reporting packages (Business Objects etc.), databases (SQL etc.), programming (XML, JavaScript, or ETL frameworks), and data storage technologies (NoSQL)
Knowledge of statistics and experience using statistical packages for analysing datasets (Excel, SPSS, SAS etc.)
Strong analytical skills with the ability to collect, organize, analyse, and disseminate significant amounts of information with attention to detail and accuracy
Adept at queries, report writing and presenting findings
Ability to use data visualization tools such as Tableau is a plus
Efficient use of data processing tools: R(dplyr, etc.), Python (Numpy, Pandas, etc.), Spark
Machine learning algorithms (e.g. k-nearest neighbors, random forests, ensemble methods, deep neural networks, etc.) and when it is appropriate to use each technique
Demonstrable creativity and innovation.
Strong analytical and problem-solving capabilities
Ability to remain organized, driven, and focused on multiple projects at a time
Strong oral and written communication skills
Good understanding of current and emerging technologies and their potential to deliver business benefits and knowledge of different project life-cycles and software development approaches.