Sales, Marketing, Retail, Business Development, Data, Business Analysis and AI,
Area Sales Manager – Nakuru
Job Summary
- To build and develop a high-performing team through embedding performance development and coaching. Ensure that the team member receives coaching and feedback in order to develop and achieve their maximum potential, meet and exceed sales targets
Job Description
SUPERVISION OF LEAD GENERATORS – TIME SPLIT 40%
- Act as enabler to the Lead Generators under supervision by providing them with the tools and information to optimize sales
- Through delegation to the Lead Generators, achieve set annual sales targets. Monitor the performance of the Lead Generators on a daily, weekly, quarterly and annual basis and provide coaching and feedback on how to improve performance
- Agree individual targets with the team members for products, assets, liabilities and campaigns.
- Manage daily attendance levels within the team in compliance with the relevant HR policies, including the management and approval of leave within the team.
- On a daily basis, monitor the movement of the Lead Generators to ensure that planned meetings or activities are being carried out in the field
- Motivate staff and ensure they are recognized through the Absa Bank PLC recognition schemes
- Identify training needs of the team and arrange for these needs to be met through on-the-job coaching and formal training
- Communicate a summary of the training needs to the Regional Sales Managers at least annually. Ensure that the planned learning interventions take place particularly for compulsory training
- Sit for Lead Generator interviews based on shortlist provided by Regional Sales Managers, HR and Resource Coordinator.
- Induct new Lead Generators and ensure that they participate in formal induction as well as the compulsory compliance training courses
- Sit for disciplinary hearings for misconduct or incapacity charges together with HR
- Ensure that Lead Generators understand the compensation plans in place
SUPERVISION OF SALES ACTIVITIES – TIME SPLIT 30 %
- Supervise product promotion campaign aspects by distributing material to Lead Generators. Cascade key messages, including training for products to staff members, including training on new application forms
- Monitor sales performance on a daily, weekly and monthly basis and provide results to the Regional Sales Managers
BUSINESS EXPANSION – TIME SPLIT 10 %
- Work with Regional Sales Managers to unlock sales in companies through sales activations and financial trainings
- Work with the sales teams and Regional Sales Managers to bring leads on new company sign ups
OPERATIONAL RIGOUR, COMPLIANCE AND CONTROLS – TIME SPLIT 10 %
Ensure that all activities and duties are carried out in full compliance with regulatory requirements, Enterprise-Wide Risk Management Framework and internal Absa Policies and Policy Standards. Understand and manage risks and risk events (incidents) relevant to the role.”
- Ensure accuracy of each new account application, loan document, Barclaycard application and all other customer documents. Lead Generators are held personally accountable for accuracy and quality of these and supporting documents that they complete and submit.
- Achieve operational rigour excellence in all aspects of procedures and processes personally undertaken to ensure green audit.
- Comply with general Absa operational risk & rigour requirements e.g. Health & Safety standards and security of premises, KYC and anti-money laundering regulations.
- Effective leave management of LGs in the team to manage branch costs
- Effective management of reporting of LGs and prompt notification of any unexplained absences
- Effective exit management
- Effective management of performance records and use of LG Management tools to monitor performance and sales activities
CONTRIBUTE TO THE DEVELOPMENT OF THE TEAM TIME SPLIT 5%
- Share knowledge and experience with other Sales Managers in the team.
- Provider cover for other Sales Managers in case of excessive workload or absence.
- Share knowledge and experience and best practice with team members, Lead Generators and the broader business
Deputize for the Regional Sales Manager when required.
IMPORTANT: Write a Perfect Cover Letter in minutes and start getting interviews! Get expert advice as you write.) Use These Examples Proven to Work.
PERSONAL DEVELOPMENT TIME SPLIT 5%
- Agree annual performance objectives with the Regional Sales Manager, including specific sales targets.
- Pursue continued improvement in personal development by participating in development programs and training.
Education
- Further Education and Training Certificate (FETC): Business, Commerce and Management Studies (Required)
Business Intelligence Analyst
Job Summary
- The role holder is responsible for making use of tools to analyse data and report on business operations. The holder will be required to engage with business teams regularly to identify and document requirements on opportunities for automation through better use of data and analytics. The role holder will also be required to use low code analytics tools to create quick solutions centred around organisational data and deliver self-service solutions for business users.
Job Description
Business Intelligence Analyst
Job Summary / Purpose:
- The role holder is responsible for making use of tools to analyse data and report on business operations. The holder will be required to engage with business teams regularly to identify and document requirements on opportunities for automation through better use of data and analytics. The role holder will also be required to use low code analytics tools to create quick solutions centred around organisational data and deliver self-service solutions for business users.
Key accountabilities/Deliverables/Outcomes
- Engage business stakeholders to understand business requirements, create and validate use cases, user stories and wireframes.
- Participate in business initiatives to provide insights on opportunities for automation and enhanced data use.
- Prepare project plans to support analytics and automation projects.
- Manage business intelligence projects using agile to deliver value to stakeholders.
- Create, maintain, and use low code data tools to respond to business ad-hoc data requests.
- Assess, respond, and log cases assigned to them by the data Helpdesk from time to time.
- Design and refine reports and dashboards to solve business use cases using bank approved low code solutions.
- Develop data collection tools using PowerApps, SharePoint and other development platforms standardize ingestion of data in support of data led business solution.
- Work with Developers to create and maintain complex analytics solutions by providing clear business requirements and rallying stakeholders to test and approve results.
- Develop and maintain documentation/manuals on reports, dashboards, and portals.
- Carry out regular user training to enable users extract insights from data solutions.
- Train business power users on basic data visualization and data literacy skills for no code solutions.
- Develop training solutions for end users and junior analysts on use of BI tools and solutions.
- Review Requirements document and low code solutions developed by junior analysts for consistency and alignment to Absa standards.
- Undertake research and development and actively challenge status quo with ideas to improve operations and existing solutions deployed by colleagues.
- Identify and escalate data quality issues to the governance team for action.
Preferred Qualification
- Bachelor’s degree in IT, technology, data science, business analytics or math focused fields is preferred (or equivalent on-the-job experience and personal analytics projects).
- Technology project management certification
Preferred Experience
- Minimum 5 years technical experience
- Experience in working within a large complex organization with multiple stakeholders.
Knowledge and Skills
- Strong analytical and diagnostic skills with focus on financial sector
- Strong presentation and communication skills
- Great interpersonal skills and ability to work remotely.
- Strong experience in working within a large complex organization with multiple stakeholders.
- Knowledge of technology project management tools such as JIRA, Planner, Azure DevOps
Behavioral Competency
- Problem-solving skills- Ability to identify and solve complex problems using analytical thinking and creativity.
- Attention to detail- Ability to maintain accuracy and thoroughness in all tasks, from data collection to analysis and reporting.
- Curiosity and continuous learning- Passion for learning and keeping up with the latest trends and developments in the field of data science.
- Strong analytical thinking- Ability to approach problems in a logical and systematic manner, using data-driven insights to guide decision-making.
- Effective communication skills- Ability to articulate complex ideas and findings in a clear and concise manner, both verbally and in writing.
- Ability to work in a team environment- Ability to collaborate with others, share knowledge and expertise, and contribute to a positive team culture.
- Time management and prioritization- Ability to manage multiple projects and deadlines, prioritize tasks effectively, and deliver high-quality work on time.
- Adaptability and flexibility- Ability to adjust to changing priorities, work in a dynamic environment, and thrive in a fast-paced setting.
Technical Competency
- Low Code Analytics- Ability to use low code or no code visual intelligence and data analysis tools such as PowerBI, Tableau, QlikView, Power Query, IDEA, SharePoint, PowerApps to create business solutions.
- Query language proficiency- Knowledge of query languages such as SQL, Hive, Pig, and the ability to write efficient queries to extract, transform, and load data from relational and non-relational databases.
- Scripting and object-oriented programming skills- Proficiency in scripting languages such as Python, PhP, R, or Perl, and knowledge of object-oriented programming concepts.
- Data Warehouse management- Proficiency in creating views, tables, procedures, dimensions and working with Kimball marts and tabular models to create reusable data artefacts in Warehouse.
- Streaming Data Analytics- Proficiency in working with streaming data from KAFKA, Hadoop, API to ingest, analyze and output data through API or into warehouses in support of data solutions.
- Structured and unstructured Data analysis- Proficiency in analyzing data from both structured and unstructured data sources through use of Warehouse artefacts or API and NLP to develop solutions for business.
- Agile Project management- Ability to manage projects and develop technology solutions in Agile way and using agile tools to monitor progress.
- Workflow data analysis- Ability to use workflow-based data tools such as Knime, Alteryx, SSIS for data blending, cleansing, analysis, creation of data pipelines and algorithms in support of business solutions.
Education
- Higher Diplomas: Business, Commerce and Management Studies (Required)
Application Deadline- 26th September 2023