Data Analyst Lead - Johannesburg, South Africa - Immploy Recruitment

Immploy Recruitment

Verified Company

Johannesburg, South Africa

2 weeks ago

Posted by:

Thabo Mthembu

beBee Recruiter

Description

SUMMARY OF ROLE

The Data Analytics Lead role is required to manage and guide a team of data analysts that implement andmaintain the data analytics and reporting requirements within the business and co-ordinate the DataScientists that support these functions.

Key responsibilities will include stakeholder engagement, team and project management for all reportingand data analytics projects, allocating work and prioritisation.

The Data Analyst Lead must ensure adherence to best practices in the data analytics development life cyclesuch that high quality automated solutions are delivered to business in a repeatable manner.

As team lead,provide direction to the Data Analysts and ensure alignment between the requirements from business, theapproach taken to deliver the solution and the data available from the data engineering team.

The Data Analytics Lead is responsible for defining the approach taken within projects.

Typical considerationsfor assessing the approach will include considering the available data, the business requirements, thetechnology landscape, big data and distributed computation thereof, complex business modelling, machinelearning integrations and the reporting requirements.

Assist in prioritising work requests and ensure an evenly distributed capacity allocation within the team.

Address performance issues and provide coaching and support to team members to develop.

Maintain a well-structured backlog of work tasks and ensure a visible, transparent view of allocation ismaintained at all times. Send out regular updates to key stakeholders with the view of currently workload toensure transparency.

The Data Analytics Lead must work well in an agile multi-disciplined environment.

Team Lead / Management Functions

Manage a team of Data Analysts and Data Scientists. Provide direction, guidance (not necessarilytechnical guidance) and structure and ensure alignment to overall team priorities.

Engage with various business units and domain experts to understand the business problems andopportunities, elicit requirements, understanding of the business needs and translate these into tangible

actionable deliverables.

Oversee the tasks and projects the team have to deliver.

Work task allocation, management and reporting.

Ensure vacant roles in the team are filled timeously.

Data Analytics

Data analytics solution scoping and project planning.

Oversee and utilising the data analytics development cycle to implement analytics solutions.

Performance management of Data Analysts and where relevant Data Scientists

Ensure reliable and valuable data analytics, reporting and data science solutions are delivered tobusiness.

Identify opportunities to add value within the business that is delivered through data analytics solutions.

Oversee the data analytics development cycle and incorporate best practice within this process.

Taking a business need/question and analyse the data in such a way that it can be answered byanswering a data question.

Working knowledge of how data science (machine learning) can be utilised within prescriptive analyticsprojects.

Deliver a diverse set of solutions to business requiring continuous problem solving to navigate therequirements and critical thinking to identify opportunities.

Data Visualization and Reporting

Ensure reporting and analytics solutions meet the need of the stakeholders.

Have a deep understanding of best practices when implementing reports and practical experienceutilising Microsoft PowerBI.

Quality Assurance

Ensure ongoing knowledge of industry standards as well as best practice and identify opportunities toenhance the internal processes within the team.

Review team deliverables

Best Practice and Research

Participate in the relevant knowledge sharing forums

Keep abreast of current research in the discipline for the benefit of business sustainability and alignmentto best practice standards.

Transformation

Ensure achievement of transformation goals as set out by the Transformation Committee.

Focus on the transformation strategy of the Groupby supporting:
Digitalisation of the business for business sustainability

Strategic and synergistic partnerships between all divisions

Holistic approach to wellness

Creating economic value and optimising capacity utilisation

Investing and developing our workforce and communities

Putting the patient and their family at the centre of the quality care model

Consistency of care to maximise patient satisfaction

Strategic engagements with Doctors and funders to invest in and maintain the quality of facilities.

Build and Maintain Stakeholder Relationships

Work effectively and co-operatively and lead others so as to establish and maintain good workingrelationships that are mutually beneficial.

Establish and service relationships with all internal and external stakeholders.

Ability to communicatewell to a diverse group of individuals ranging from executives, doctors, clinical experts, data analysts andpro