Data Analyst at DeeCla Services Limited (DSL)

DeeCla Services Limited (DSL) – Our client, a Fintech Company, is recruiting to fill the position below:

Location: Oshodi, Lagos
Employment Type: Full-time
Job Level: Management level

Job Summary

The Data Analyst will analyze and Analyse large amounts of raw information to improve business, build data products, models and extract valuable business insights. Support product, sales, leadership and marketing teams by providing insights gained from analyzing company data.
The ideal candidate is adept at using large data sets to find opportunities for product and process optimization, using models to test the effectiveness of different courses of action.
The candidate should be highly analytical with a knack for analysis, math and statistics. Critical thinking and problem-solving skills are essential for interpreting data as well as passion for research and machine learning.

Main Objective

To support product, sales, leadership and marketing teams with insights gained from analysing company data. To use large data set to find opportunities for product and process optimization as well as using models to test the effectiveness of different courses of action.

Responsibilities

Identify valuable data sources and automate collection processes
Undertake reprocessing of structured and unstructured data
Analyze large amounts of information to discover trends and patterns
Build predictive models and machine-learning algorithms
Combine models through ensemble modeling
Present information using data visualization techniques
Propose solutions and strategies to business challenges
Collaborate with engineering and product development teams
Work with stakeholders throughout the organization to identify opportunities or leverage company data to drive business solutions.
Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies.
Assess the effectiveness and accuracy of new data sources and data gathering techniques.
Develop custom data models and algorithms to apply to data sets.
Use predictive modelling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes.
Coordinate with different functional teams to implement models and monitor outcomes.
Develop processes and tools to monitor and analyze model performance and data accuracy.
Experience analyzing data from 3rd party providers: Google Analytics, Site Catalyst, Core metrics, Adwords, Crimson Hexagon, Facebook Insights, etc.
Experience visualizing/presenting data for stakeholders using: Periscope, Business Objects, D3, ggplot, etc.

Requirements

Minimum Qualification: Bachelor’s Degree / HND in Computer Science, Maths, Statistic or any related discipline
Preferred years of experience: 3-5 years
Proven experience as a Data Scientist or Data Analyst
Experience in data mining
Understanding of machine-learning and operations research
Knowledge of R, SQL and Python
Experience using business intelligence tools (e.g. Tableau, Power BI) and data frameworks (e.g. Hadoop)
Analytical mind and business acumen
Strong math skills (e.g. statistics, algebra)
Problem-solving aptitude
Excellent communication and presentation skills
Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.