Data Analyst

The Data Analyst role is embedded in a business domain and reports into a leader within the domain. Business domains include but are not limited to, Commercial, Finance, Compliance, Marketing, Sales, Customer Servicing, Human Capital and
Product. In this role, the data analyst will collaborate cross functionally to understand business problems and then build data driven solutions to solve them, having the opportunity
to work across full spectrum of descriptive, diagnostic, predictive and prescriptive analytics. Data analysts work in close alignment with the Business Intelligence team, benefiting from their data architecture, tooling, and technical expertise. Internal liaison takes place with all internal departments. External liaison takes place with third parties, as required.

Duties and Responsibilities (Include but is not limited to):

- Work closely with stakeholders across all levels and business areas to elicit data &
analysis requirements
- Translate requirements into reporting or data analysis specifications employing
critical thinking to ensure alignment with the actual business need.
- Be the translator between Business, Product, and the Data teams on data needs
- Interview subject matter experts and shadow workflows to build an understanding
of our data collection and logging processes. In time, become an expert in our data.
- Specify, gather, clean, combine and aggregate data from disparate sources for data
analysis and reporting needs
- Profile and validate all data intended for use in reporting or analysis to ensure high
data quality (accuracy, completeness, missing/invalid data correction, timeliness)
- Perform data analysis to (not exhaustive):
- Extract key insights and observations to influence/support business decisions
and actions
- Identify the core drivers/levers and segments that influence the movement of
key metrics/KPIs
- Identify gaps in existing business processes and product offerings and formulate
recommendations to improve them
- Measure the effectiveness of product launches and new business initiatives
- Design, build, and maintain reports to track and communicate KPIs and results from
data analysis activities
- Build data visualizations to improve access and visibility into the content from all
key reports and our data in general
- Share insights and analysis results in written form and in business presentations
- Train and support user community in the use of reports, BI tools, and the
interpretation of analysis results
- Collect and apply feedback from business presentations, user training and peer
review to continuously improve reporting and analysis solutions
- Proactively communicate the status (including blockers, risks, issues) and roadmap
of the work assigned to you, with all affected stakeholders
- Cultivate relationships and collaborate cross-functionally to shape, support, and
execute on business and product goals
- Help define and improve upon our analytics standards through participation within
the community of practice, conducting peer reviews and contribution to internal
documentation
- Identify data quality issues, their corresponding root cause and collaborate with
business, product, and data teams to drive improvements in data hygiene
- Continuously upskill and stay abreast of new developments in Data Analysis & BI
tools, methodologies, and applications
Key Requirements:
- Grade 12 or equivalent (Essential)
- Tertiary qualification in a quantitative field (includes but not limited to –
Mathematics, Statistics, Engineering, Computer Science, Actuarial Science,
Economics, Finance, Business Analytics)
- 4+ years working experience within Data Analytics or business intelligence
(Essential)
- Strong verbal and written communication skills in English and understand how to
share insights and analytical results to both technical and non-technical audiences.
- Knows how to work with stakeholders to gather Data & Analysis requirements and
communicate findings
- Strong report/dashboard development and data visualization skills with modern BI
tools (e.g., Power BI, Tableau, Qlik)
- Advanced SQL skills
- Advanced Excel skills
- R or Python programming for data analysis (desirable)
- Experience cleaning, assimilating, manipulating, and aggregating large data sets
using SQL, R or Python or similar tools
- Knowledge of data analysis techniques, such as time series analysis, scenario
analysis, clustering & segmentation, regression, decision trees, forecasting, and
interpretation & creation of probability distributions (proficiency in a few of these
will suffice)
- Analytical and problem-solving skills
- Execution-oriented, and able to complete tasks independently
Additional Skills:
- Experience in Financial Services or Retail industry or high growth businesses
- Teamworking and collaboration
- Excellent organisational skills with ability to juggle many tasks without losing sight
of the highest priority items and able to stay focused under pressure
- Passionate about knowledge sharing
- Attention to detail
- Data modelling
- A/B testing
Should you be appointed in a remote/work from home role, it is your responsibility
to ensure that you have uninterrupted internet connectivity and a ‘work-like’
environment at your home location, to deliver your best in terms of performance,
productivity, and service to our customers.