Job Vacancies at Ignition Group

Key Roles and Responsibilities:

Sales and Marketing Strategy Development

• Work closely with internal stakeholders such as marketing to develop sales and marketing strategies.
• Define business plans and go-to-market strategy based on return-on-investment driven business models.

Account Development and Management

• Take responsibility for account development and management.
• Develop account plans including customer landscape, financial information, and account goals.
• Responsible for new account development and/or expanding existing accounts within the assigned sales channel.
• Provide product training to customers, sales partners, and new employees.

Partner Development and Management

• Find, generate, and develop new partners to sell company products and services to end-users.
• Build and grow relationships with existing channel sales partners.
• Conduct partner site visits.

Sales Operations Oversight

• Oversee daily sales operations, coordinating consistent workflows, plans, and reporting structures.
• Manage new launches in different sites.
• Provide product training to customers, sales partners, and new employees.
• Manage sales promoters at various retail sites.

Revenue Objectives and Achievement

• Develop and review sales proposals and related activities to drive achievement of revenue objectives.
• Responsible for sales quota and monitoring and measurement of the assigned accounts' target achievements.

Market Research and Strategy Implementation

• Follow leads and market research to develop new avenues for sales.
• Develop a sales strategy that utilizes these channels.
• Create awareness of and demand for company products.

Requirements:

Knowledge, Skills, and Attributes:

• Effective communicator with excellent interpersonal skills and an ability to build strong relationships with partners.
• Driven, highly motivated, and results-driven.
• Strong presentation skills and the ability to articulate complex concepts to cross-functional audiences.
• Ability to negotiate and influence optimal business results.
• A thorough understanding of the market and market dynamics.
• Strong networking skills.

Education and Training:

• Bachelor’s degree in Sales, Marketing, Business, or a relevant field.

Experience:

• At least 2 years’ previous experience in business-to-business sales.
• At least 2 years’ experience in managing a sales team.
• Experience selling products and/or services via channel partnerships.
• Experience with CRM or related sales tools and software.

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Description

The Senior Data Engineer is accountable for creating and maintaining the technological infrastructure of a data platform and implementing methods to improve data reliability and quality. This position is responsible for ensuring the consistent delivery of data architecture throughout ongoing projects by creating data models, building data pipelines and coordinating ETL (extract, transform, load).

Responsibilities :

Technical Development and Programming

• Developing technical tools and programming that leverage artificial intelligence.
• Building and maintaining the infrastructure that collects and processes large amounts of data.
• Cleaning and developing data pulling methods used in data models.
• Propose solutions and strategies to business challenges.
• Optimize query performance in Snowflake.
• Collaborate with engineering and product development teams.

Data Pipeline Development and Optimization

• Stay abreast of new technologies, frameworks, and market trends in the Big Data space.
• Continuously upskill to remain proficient in the latest advancements in data engineering.
• Work with Snowflake and is proficient in loading and unloading data from Snowflake and building data ingestion pipelines.
• Identify valuable data sources and automate collection processes.

Data Management and Administration

• Loading data from a wide variety of data sources using SQL technologies.
• Working with internal stakeholders by assisting with data-related technical issues and supporting data infrastructure needs.
• Administering and optimizing data storage systems and databases to ensure performance and scalability.
• Performing data cleansing and transformation processes to prepare raw data for analysis.
• Design, build, and develop data warehouses.
• Enabling data integration and migration across various systems, sources, databases, and servers.
• Developing and optimizing ETL (extract, transform, load) processes to support analytics and reporting needs.
• Perform data modeling (Relational and Star Schema).

Documentation and Process Improvement

• Providing support in the identification, design, and implementation of internal process improvements.
• Manage real-time analytics and batch processing.
• Maintaining clear and current documentation of data pipelines, processes, and data dictionaries.

Data Retention Policy Definition

• Define and implement data retention policies in collaboration with stakeholders.
• Ensure compliance with data governance and regulatory requirements.

Optimization through Automation

• Identify opportunities to optimize existing data processes.
• Implement automation solutions to streamline data workflows and increase efficiency.

Data Reporting and Documentation

• Assist in creating comprehensive data-related reports and documentation.
• Ensure documentation is accurate, up-to-date, and easily accessible for the team.

Analytics Data Source Maintenance and Optimization

• Maintain and optimize data sources used for analytics purposes.
• Conduct regular reviews to ensure data sources align with business needs.

Data Reporting

• Generate regular data reports as per business requirements.
• Customize and automate reporting processes to enhance efficiency.

Supporting Data-Related Queries:

• Assist the team in resolving data-related support queries.
• Provide expertise and guidance on data-related issues as needed.

Requirements

Knowledge, skills and attributes:

• Good attention to detail.
• Analytical mind with an inclination for problem-solving.
• Excellent verbal and written communication skills.
• Ability to work in a team-orientated, collaborative environment.
• Planning and organising skills with the ability to prioritise tasks and adopt a logical approach to work.
• Process orientated with comprehensive documentation skills.
• Working and conceptual knowledge of building and maintain physical and logical data models.
• Proficient in SQL, Python and ETL tools.
• Understanding of database design principle.
• Working knowledge of data warehousing concepts and practices.
• Ability to create and maintain good working relationships with colleagues and customers.
• A willingness to keep up to date with developments in new technology.
• An understanding of information legislation, such as the Data Protection Act
• Ability to manipulate, process and extract value from large, disconnected datasets.
• Conversant with data modelling and data integration techniques.
• Knowledge of data quality processes and master data management.
• Proficiency in data integration and ETL solutions using SSIS, and/or SQL Server stored procedures.
• Strong analytical mind and business acumen.
• Proficiency in database query languages such as T-SQL,  PL/SQL.
• Expertise in data mining, large-scale data modeling, and business requirements gathering/analysis.

Education and training:

• Diploma in Computer Science, Information Technology, Engineering, or equivalent.
• Bachelor’s degree in computer science, Information Technology, Engineering, or equivalent advantageous.
• Relevant certification (Snowflake Certified Data Engineer, Certificate Professional, etc).

Experience:

• At least 5 years’ working as a data engineering or a similar role.
• Experience with DBMS such as Snowflake, SQL Server, Mongo DB.
• Experience with architecture and design of secure, highly available and scalable systems.
• Experience with writing scripts using scripting language.
• Experience working with data sets and ordering data through various functions.
• Experience working with internet technologies.
• Experience dealing with internal and external stakeholders.
• Experience working with and/or on Power BI.
• Software development experience with Python required.
• Experience with SQL Server Management Studio and Visual Studio.
• Experience with Azure SQL databases, Azure Storage Accounts, and/or Big Query.
• Experience in data integration and transformation.

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Description:

The CVM Administrator enhances and optimizes customer relationships to maximize value from the company's products or services. Key responsibilities include implementing and managing CRM systems, analyzing customer data for insights, segmenting customers, and developing retention strategies. They focus on improving customer experience, handling feedback and complaints, and ensuring the company's value proposition is clear and consistent. The role involves cross-functional collaboration, tracking performance metrics, and educating staff on customer value principles to drive satisfaction, loyalty, and long-term success.

Key Responsibilities:

Data Management

• Assist in maintaining and updating customer databases with accurate information.
• Support data cleansing and verification efforts to ensure data integrity.

Campaign Support

• Aid in the execution of CVM campaigns, including SMS campaigns, email marketing, and other communication channels.
• Help monitor campaign performance and gather data for analysis.
• Own the day-to-day campaign schedule and upkeep.

Customer Insights

• Assist in extracting and analyzing customer data to identify trends, preferences, and opportunities for engagement.
• Contribute to the preparation of reports on customer behavior and engagement.

Cross-Functional Collaboration

• Collaborate with various teams to support CVM initiatives and ensure alignment with company goals.

Documentation and Reporting

• Assist in maintaining records of CVM activities, processes, and campaign results.
• Support the preparation of regular reports for internal stakeholders.

Training and Learning

• Participate in specialized training sessions to develop your skills in CVM strategies, data analysis, and marketing technologies.

Requirements:

Knowledge, Skills, and Attributes:

• Must have Excel knowledge - Ability to pivot data, do VLOOKUPs, run calculations, and more.
• Ability to extract data and present findings into reports and presentations via Excel, Power BI, and PowerPoint.
• Experience with Power BI, SQL & Snowflake required.
• Good understanding of data management tools and CRM systems.
• Strong attention to detail and data accuracy.
• Excellent organizational and time management skills.
• Good communication skills and a willingness to learn.
• Ability to work effectively in a team environment.

Education and Training:

• Matric/Grade 12.
• Higher education would be beneficial (including specialist courses).

Experience:

• Minimum of 2-5 years’ experience in campaign and data administration roles.
• Telco or BI experience beneficial.
• Experience with Azure SQL databases, Azure Storage Accounts, and/or Big Query.