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A data insights company in Johannesburg seeks a Senior Analyst to lead analytics projects and optimize data processes. Candidates should have 5+ years of experience in data analysis, a mathematical degree, and proficiency in Python. The role also involves mentoring junior team members and ensuring quality control in data solutions.
The Senior Analyst will be part of the Data Insights and Attributes team that is responsible for any insights pertaining to credit bureau or alternative data.
This includes industry benchmark reports, application decision outcome (ADO) reports, bureau and bespoke client attribute development, attribute monitoring and other custom analytics.
The Senior Analyst is expected to assist with all the tasks dependent on priority projects for the team and should be able to work efficiently as part of the team, but also independently.
You will be required to :
Execute and lead (in some instances) new data analytics projects.
Review existing data processes where needed, in order to optimize and ensure that sufficient quality control measures are in place.
Assist in aligning the team's objectives and focus on Experian's data strategy.
Ensure quality and accuracy of own work and the work of any analysts on specific projects
Carry out and lead others in confirming the integrity, extraction, formulation and enhancements of source data to develop new bureau and bespoke client attributes.
Analyze results from benchmark reports and monitoring packs to identify and interpret trends.
Assist in upskilling more junior team members to enhance their skillsets both from a technical perspective and data interpretation and enhancement perspective.
Ensure process and product documentation is up to date and interpretable both by internal and external stakeholders.
Participate in sales enablement when new analytics products are launched.
Attend client meetings when required in order to support pre-sales and post-sales discussions pertaining to analytics data products.
Stay abreast of legislation and regulation as they relate to Experian's analytical solutions.
Experian is a global data and technology company, powering opportunities for people and businesses around the world.
We help to redefine lending practices, uncover and prevent fraud, simplify healthcare, create marketing solutions, and gain deeper insights into the automotive market, all using our unique combination of data, analytics and software.
We also assist millions of people to realize their financial goals and help them save time and money.
We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more industry segments.
We invest in people and new advanced technologies to unlock the power of data.
As a FTSE Index company listed on the London Stock Exchange (EXPN), we have a team of 22, people across 32 countries.
Our corporate headquarters are in Dublin, Ireland.
Learn more at .
Degree or equivalent standard, with a high mathematical content e.g. Mathematics, Statistics, Operations Research (O.R.), Economics, Physical Sciences, Engineering, Actuarial Science.
5+ Years' experience in data analysis or related fields
Credit Industry Expertise : experience across the credit lifecycle.
Proven extensive experience and knowledge of Python (other software and programming languages like SAS, PySpark and / or SQL will be beneficial).
Additional Information
Our uniqueness is that we celebrate yours.
We take our people agenda very seriously and focus on what matters; DEI, work / life balance, development, authenticity, collaboration, wellness, reward & recognition, volunteering... the list goes on.
Experian's people first approach is award-winning; World's Best Workplaces
Check out Experian Life on social or our Careers Site to understand why.
Experian is proud to be an Equal Opportunity and Affimative Action employer.
Innovation is an important part of Experian's DNA and practices, and our diverse workforce drives our success.
Everyone can succeed at Experian and bring their whole self to work, irrespective of their gender, ethnicity, religion, colour, sexuality, physical ability or age.
If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.
Find out what its like to work for Experian by considering our Careers Site for more information.