Job description

CAREER OPPORTUNITY

An exciting career opportunity exists for someone to perform a new and critical role within our Business Intelligence department, reporting to the BCM: Information Management.

Job Description

Guided by the BCM and a prioritised backlog, this role will be responsible for assisting in the impact and data dependency analysis between data sources within the BI environment. This role will also play a crucial role in the Data Warehouse decommissioning initiative as well as in the cloud migration preparation phase where data analysis work is key.

Additional responsibilities will include sourcing and transforming a wide range of data across the business into formats that can be used by end users or reporting systems.

We are looking for an individual with experience in using a variety of data tools, analysis methods and data visualization to turn data into actionable insights with demonstrable business impact.

They will assist in unpacking and analysing data structures in existing databases and ETL processes using SQL, Business Objects and QlikView.

The person fulfilling this role will not only analyse data models, but also test the outputs, investigate & troubleshoot data issues and devise solutions in line with best practice. A high competency in problem solving capabilities is thus essential and proven proficiency in SQL is a must. They should be able to communicate technical information to business teams as well as to communicate business information to technical teams. Thy should also be competent in communicating challenges and solutions to the team.

An understanding of data management solutions and a keen sense of the strategic value of information to an organisation will be of importance.

You will be responsible for the end-to-end tasks within the data analysis framework working with business representatives, product owners, etc. to define and elicit requirements, analyse data and create reports/dashboards.

Principle Accountabilities Include

Data Preparation

  • Acquire data from various data sources and combine & transform data into interpretable datasets, reports or dashboards
  • Assess the effectiveness and accuracy of new data sources and data gathering techniques
  • Extend the company’s data with third party sources of information when required
  • Process, cleanse and verify the integrity of data used for analysis
  • Perform data profiling of data contained in source systems
  • Provide detailed analysis of all data implemented into the database
  • Provide the data mapping and associated transformation rules for each data item
  • Ensure that the business requirements and subsequent development activities are supported by accurate information.
  • Analysis and Visualisation
  • Interpret data, analyse results using analytical techniques and provide reports and/or dashboards
  • Identify, analyse, and interpret trends or patterns in complex data sets
  • Use data to answer key questions about the business.
  • Create and maintain dashboards, ongoing reporting, and ad hoc requests from the BCM in measuring data quality and data usage.
  • Support and maintain the project data models at multiple levels of detail and functionality (conceptual, logical, normalised, relational, dimensional, application level, subject-level, integrated, etc.)
  • Assist Data Modelers/Architects to draw up detailed data models.

Stakeholder Engagement

  • Work directly with management and other business users to gather requirements, provide status updates, and build relationships
  • Present information using data visualisation techniques
  • Facilitate requirements gathering workshops with the business
  • Collaborate with internal and external stakeholders to analyse information needs, functional requirements and business processes
  • Engage with role-players within our implementation of Scrum @ Scale
  • Coaching/Mentorship
  • Provides problem solving assistance to other team members

Qualifications And Experience

  • Diploma/Bachelor Degree (Information Systems; Statistics; Data or Computer Science; Engineering) or equivalent (preferred but not essential)
  • Functional experience in analytics, data visualisation or reporting
  • 4 + years of experience performing data analysis
  • Knowledge of and experience with reporting packages (QlikView/ Business Objects/ Cognos)
  • Adept at queries, report writing and presenting findings for stakeholder use
  • Experience working with data in various data sources and databases
  • Demonstrated experience in handling large data sets and relational databases with proven SQL skills
  • Experience in agile development desired
  • Business experience in financial services would be advantageous

Skills

  • Ability to translate business requirements into non-technical terms
  • Ability to comply to and manage data assets under strict governance framework
  • Ability to work with data profiling, data quality and reference data toolsets advantageous
  • Strong analytical-thinking and problem-solving skills
  • Ability to collect, organize, analyze, and disseminate significant amounts of information
  • Attention to detail and accuracy

COMPETENCIES

  • Collaboration
  • Client focus
  • Drives results
  • Flexibility and adaptability
  • Cultivates innovation
  • Decision Quality
  • Communicates Effectively
  • Ensures Accountability
  • Business Insight
  • Balances Stakeholders
  • Manages Ambiguity
  • Nimble Learning

About The Company

Santam is the market leader in the general insurance industry in Southern Africa. We are a large, diversified, expanding and transforming company and whilst based in South Africa, we are rapidly moving into a number of emerging markets, both in Africa and Asia.

At Santam, we are committed to transformation and embracing diversity. This commitment is what drives us to achieve a diverse workplace with employment equity as a key goal to create an inclusive workforce, representative of the demographics of our society. In achieving our employment equity goals, we give preference to applicants from the designated groups in alignment with the Divisions Employment Equity targets.

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